[Effectiveness and safety of multimodal analgesia in open gastrostomy in patients with end-stage head and neck cancer].

Objective: To investigate the effectiveness and safety of multimodal analgesia in patients with end-stage head and neck cancer in open gastrostomy surgery. Methods: This was a randomized controlled trial. From June to December 2023, 50 patients with end-stage head and neck cancer who underwent elective open gastrostomy surgery in Beijing Tongren Hospital Affiliated to Capital Medical University were prospectively selected. The patients were divided into multimodal analgesia group and local anesthesia group using the random number table method according to different anesthesia methods, with 25 cases in each group. In multimodal analgesia group, a multimodal analgesia regimen was adopted: ultrasound-guided abdominal wall nerve block (rectus sheath block and transverse abdominis plane block)+intravenous injection of oxycodone+intravenous injection of flurbiprofen axetil and dexamethasone. In local anesthesia group, local infiltration anesthesia with ropivacaine was adopted. The main outcome measure was the incidence of intraoperative pain numeric rating scale (NRS) score>3 points in the two groups. The secondary observation indicators included NRS score and hemodynamic indexes [mean arterial pressure (MAP) and heart rate (HR)] at various time points during surgery [before anesthesia (T0), at the time of incision (T1), 10 minutes after surgery (T2), during gastric body traction (T3), and at the end of surgery (T4)], incidence of adverse reactions, postoperative patient satisfaction score, as well as the NRS scores at rest and activity (coughing) within 24 hours after surgery. Results: The multimodal analgesia group included 21 males and 4 females, aged (61.4±9.9) years. There were 19 males and 6 females in the local anesthesia group, aged (58.6±10.8) years. The incidence of intraoperative NRS score>3 points and the incidence of salvage analgesia in the multimodal analgesia group were both 12.0% (3/25), which were lower than 60.0% (15/25) in the local anesthesia group, and the differences were statistically significant (all P<0.001); The NRS score [M (Q1, Q3)] at T3 in the multimodal analgesia group was 2 (2, 3) points, which were lower than 5 (3, 6) points in the local anesthesia group (P<0.05). There were smaller variabilities in MAP and HR in the multimodal analgesia group than those in the local anesthesia group (all P<0.05). The incidence of intraoperative tachycardia, surgical traction reaction, and nausea in the multimodal analgesia group was lower than that in the local anesthesia group (all P<0.05). The postoperative satisfaction score of patients in the multimodal analgesia group was (9.25±0.71) points, which were higher than (7.33±0.87) points in the local anesthesia group (P<0.001). NRS score during postoperative activity within 24 hours in the multimodal analgesia group were (2.36±0.75) points, which were lower than (3.03±0.81) points of the local anesthesia group (P=0.005). No adverse reactions such as urinary retention, nausea, vomiting and dizziness occurred in both groups. Conclusion: Compared with local anesthesia, the multimodal analgesic strategy could provide better analgesic effect and longer duration, better hemodynamic stability, and fewer intraoperative adverse reactions in patients with end-stage head and neck cancer undergoing open gastrostomy.

[Diagnostic value of Gd-EOB-DTPA-enhanced MRI radiomics models for dual-phenotype hepatocellular carcinoma].

Objective: To develop and validate clinical and radiomics models based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI of dual-phenotype hepatocellular carcinoma (DPHCC) for preoperative differential diagnosis. Methods: Two hundred and fifty inpatients of hepatocellular carcinoma (HCC) confirmed by postoperative pathology, who underwent Gd-EOB-DTPA-enhanced MRI were retrospectively included. A total of 172 inpatients (72 DPHCC and 100 non-DPHCC) were included in Institution 1 (the First Affiliated Hospital of Soochow University) as a training cohort (between January 2020 and July 2023) and 78 inpatients (44 DPHCC and 34 non-DPHCC) were included in Institution 2 (the Third People's Hospital of Nantong) as an external validation cohort(between January 2019 and July 2023). The regions of interest of the tumor were delineated layer by layer in noncontrast phase, arterial phase (AP), portal venous phase (PP) and hepatobiliary phase (HBP) images. The software of FAE was used to extract the radiomics features of the images. Pearson correlation analysis and recursive feature elimination were used for feature selection. Each phase and combined radiomics models were established using logistic regression, linear discriminant analysis and support vector machine. Receiver operating characteristic curve and the areas under the curve (AUC) were used to evaluate and select the dominant radiomics model. The dominant radiomics model was combined with clinically independent predictors to construct a clinical radiomics model. Delong test was used to compare the performance of the models. Results: The age of the training cohort was (59.6±10.4) years, in which there were 135 men (78.5%). In the external validation cohort, the age was (57.8±9.2) years, including 56 men (71.8%). The maximum diameters of the lesions [M (Q1, Q3), 4.7 (2.6, 7.5) vs 2.7 (1.8, 4.4) cm, P<0.001] and the proportion of the multiple lesions (39.5% vs 16.7%, P<0.001) in the training cohort were higher than those in the external validation cohort. In the training group, the proportion of patients with hepatitis B virus (HBV) infection in the DPHCC subgroup (66.7%,48/172) was higher than that in non-DPHCC subgroup (49.0%,49/78,P=0.021). In the external validation cohort, the AUC (95%CI) of the PP [0.835 (0.733-0.937)] and combined radiomics models [0.786 (0.681-0.891)] were significantly higher than that of noncontrast phase [0.451 (0.319-0.584)], AP [0.566 (0.435-0.696)] and HBP models [0.496 (0.363-0.629)] (all P<0.05). There was no significant difference in AUC between PP radiomics model and combined radiomics model (P=0.189). The AUC between the radiomics models and clinical-radiomics models, which were brought into clinically independent variable HBV, showed no significant difference (all P>0.05). Conclusion: Gd-EOB-DTPA-enhanced MRI radiomics model based on portal venous phase may be available for discriminating DPHCC from non-DPHCC before operation.

[Arterial spin labeling in assessment of interstitial fibrosis in renal allografts].

Objective: To explore the feasibility and application value of arterial spin labeling (ASL) in evaluating the degree of renal fibrosis after kidney transplantation. Methods: This is a cross-sectional study. Renal transplant recipients who received treatment at the First Affiliated Hospital of Soochow University from December 2021 to December 2022 were enrolled. All participants underwent ASL scan, and the values of renal cortical renal blood flow (RBF) were measured through post-processing software. The participants were divided into different groups according to the Banff interstitial fibrosis score (ci score) of the transplanted kidneys, and then relevant indicators were compared. One-way analysis of variance was conducted to compare the differences in renal cortical RBF among the groups. Spearman correlation analysis was employed to investigate the association between renal cortical RBF and ci score of the transplanted kidney. Receiver operating characteristic curve was used to analyze the diagnostic effectiveness of renal cortical RBF and laboratory indicators for distinguishing varying degrees of fibrosis in transplanted kidneys. The Delong test was utilized to compare the area under the curve (AUC). Results: A total of 60 patients (42 males and 18 females) were included in the study, with a mean age of (44.6±10.8) years. All patients were divided into 4 groups: ci0 group (ci score=0, 11 cases), ci1 group (ci score=1, 21 cases), ci2 group (ci score=2, 20 cases), and ci3 group (ci score=3, 8 cases). With an increase in the degree of fibrosis in the transplanted kidney, there was a corresponding decrease in the renal cortical RBF value. The differences in renal cortical RBF values among the 4 groups were statistically significant[ci0 group: (214.9±28.5) ml·(100 g)-1·min-1; ci1 group: (181.7±29.3) ml·(100 g)-1·min-1; ci2 group: (158.8±39.2) ml·(100 g)-1·min-1; ci3 group: (123.1±27.2) ml·(100 g)-1·min-1; F=14.02, P<0.001]. The renal cortical RBF was moderately negatively correlated with the ci score (r=-0.644, P<0.001). The AUC for discriminating between ci0 and ci1-3 of renal cortical RBF and 24-hour urine protein was 0.881 (95%CI: 0.772-0.950) and 0.680 (95%CI: 0.547-0.795), respectively. The AUC for renal cortical RBF was significantly higher than that for 24-hour urine protein (P=0.047). The renal cortical RBF can distinguish between ci0-1 and ci2-3, as well as ci0-2 and ci3, with the corresponding AUC value of 0.796 (95%CI: 0.673-0.889) and 0.900 (95%CI: 0.795-0.963), respectively. Conclusion: ASL can quantitatively assess renal blood perfusion in transplanted kidneys and demonstrates high operational efficacy in distinguishing varying degrees of fibrosis in the transplanted kidneys.

RESOLVE-based radiomics in cervical cancer: improved image quality means better feature reproducibility?

AIM: To compare the reproducibility of apparent diffusion coefficient (ADC)-based radiomic features between readout-segmented echo-planar diffusion-weighted imaging (RESOLVE) and single-shot echo-planar diffusion-weighted imaging (SS-EPI DWI) in cervical cancer. MATERIALS AND METHODS: The RESOLVE and SS-EPI DWI images of 36 patients with histopathologically confirmed cervical cancer were collected retrospectively. Two observers independently delineated the whole tumour on RESOLVE and SS-EPI DWI, and then copied them to the corresponding ADC maps. Shape, first-order, and texture features were extracted from ADC maps in the original and filtered (Laplacian of Gaussian [LoG] and wavelet) images. Thereafter, 1,316 features were generated in each RESOLVE and SS-EPI DWI, respectively. The reproducibility of radiomic features was assessed using intraclass correlation coefficient (ICC). RESULTS: In the original images, RESOLVE showed 92.86%, 66.67%, and 86.67% of features with excellent reproducibility in shape, first-order, and texture features, while SS-EPI DWI showed 85.71%, 72.22%, and 60% of features with excellent reproducibility, respectively. In the LoG and wavelet filtered images, RESOLVE had 56.77% and 65.32% of features with excellent reproducibility and SS-EPI DWI had 44.95% and 61.96% of features with excellent reproducibility, respectively. CONCLUSION: Compared with SS-EPI DWI, the feature reproducibility of RESOLVE was better in cervical cancer, especially for texture features. The filtered images cannot improve the feature reproducibility compared with the original images for both SS-EPI DWI and RESOLVE.

[The value of machine learning models based on biparametric MRI for diagnosis of prostate cancer and clinically significant prostate cancer].

Objective: To evaluate the value of machine learning (ML) models based on biparametric magnetic resonance imaging (bpMRI) for diagnosis of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). Methods: A total of 1 368 patients, aged from 30 to 92 (69.4±8.2) years, from 3 tertiary medical centers in Jiangsu Province were retrospectively collected from May 2015 to December 2020, including 412 cases of csPCa, 242 cases of clinically insignificant prostate cancer (ciPCa) and 714 cases of benign prostate lesions. The data of center 1 and center 2 were randomly divided into training cohort and internal testing cohort at a ratio of 7∶3 by random number sampling without replacement using Python Random package, and the data of center 3 were used as the independent external testing cohort. The training cohort includs 243 cases of csPCa, 135 cases of ciPCa and 384 cases of benign lesions, the internal testing cohort includs 104 cases of csPCa, 58 cases of ciPCa and 165 cases of benign lesions, and the external testing cohort includs 65 cases of csPCa, 49 cases of ciPCa and 165 cases of benign lesions. The radiomics features were extracted on T2-weighted imaging, diffusion-weighted imaging and apparent diffusion coefficient map, and optimal radiomics features were selected by using Pearson correlation coefficient method and analysis of variance. The ML models were built using two ML algorithms, including support vector machine and random forest (RF) and were further tested in the internal testing cohort and external testing cohort. Finally, the PI-RADS scores evaluated by the radiologists were adjusted by the ML models which had superior diagnostic performance, namely adjusted PI-RADS. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the ML models and PI-RADS. DeLong test was used to compare the areas under curve (AUC) of models with those of PI-RADS. Results: For PCa diagnosis, in internal testing cohort, the AUC of ML model using RF algorithm and PI-RADS were 0.869 (95%CI: 0.830-0.908) and 0.874 (95%CI: 0.836-0.913), respectively, and the difference between the model and PI-RADS did not reach to the statistical significance (P=0.793). In the external testing cohort, the AUC of model and PI-RADS were 0.845 (95%CI: 0.794-0.897) and 0.915 (95%CI: 0.880-0.951), respectively, and the difference was statistically significant (P=0.01). For csPCa diagnosis, the AUC of ML model using RF algorithm and PI-RADS were 0.874 (95%CI: 0.834-0.914) and 0.892 (95%CI: 0.857-0.927), respectively, in internal testing cohort, and the difference between the model and PI-RADS was not statistically significant (P=0.341). In the external testing cohort, the AUC of model and PI-RADS were 0.876 (95%CI: 0.831-0.920) and 0.884 (95%CI: 0.841-0.926), respectively, and the difference between the model and PI-RADS was not statistically significant (P=0.704). When PI-RADS assessment was adjusted with the assistance of ML models, the specificities increased from 63.0% to 80.0% in the internal testing cohort and from 92.7% to 93.3% in the external test group in diagnosing PCa. In diagnosing csPCa, the specificities increased from 52.5% to 72.6% in the internal testing cohort and from 75.2% to 79.9% in the external testing cohort. Conclusions: The ML models based on bpMRI showed comparable diagnostic performance to PI-RADS assessed by senior radiologists and achieved good generalization ability in both diagnosing PCa and csPCa. The specificities of the PI-RADS were improved by ML models.

[The application value of Gd-EOB-DTPA enhanced MRI based radiomics in the differential diagnosis of iso-or hyperintensity HCC and focal nodular hyperplasia in hepatobiliary phase].

Objective: To investigate the application value of Gd-EOB-DTPA enhanced MRI based radiomics model in the differential diagnosis of iso-or hyperintensity HCC and focal nodular hyperplasia (FNH) in hepatobiliary phase. Methods: A total of 88 patients with HCC or FNH confirmed by surgical or puncture pathology who underwent preoperative Gd-EOB-DTPA enhanced MRI (all lesions showed iso-or hyperintensity in hepatobiliary phase) between January 2015 and February 2023 in The First Affiliated Hospital of Soochow University and Nantong No.3 People's Hospital were retrospectively evaluated, which including 58 males and 30 females, aged [M(Q1, Q3)]56 (40, 67) years, including 61 patients with HCC and 27 patients with FNH. The included cases were divided into training (43 cases of HCC, 19 cases of FNH) and validation cohort (18 cases of HCC, 8 cases of FNH) in the ratio of 7∶3 using the random seeding method. A total of 1 781 radiomics features were extracted from Gd-EOB-DTPA enhanced MRI in the arterial, portal and hepatobiliary phases, respectively. The independent three phase models, combined three phases model and combined clinical-radiomics model was established using Auto-Encoder (AE) and Native Bayes (NB) classifier, respectively. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of these models. DeLong test was used to compare the areas under curve (AUC). Results: In the validation cohort, the combined clinical-radiomics model had the highest AUC (AUC=0.938, 95%CI: 0.828-1.000). The AUC, accuracy, sensitivity, specificity of the clinical-radiomics combined model using AE classifier in the validation cohort were 0.896 (95%CI: 0.760-1.000), 88.5%, 88.9%, 87.5%. The AUC of the clinical-radiomics combined model using NB classifier in the validation cohort were 0.938 (95%CI: 0.828-1.000), 92.3%, 88.9%, 100.0%. Conclusion: Gd-EOB-DTPA enhanced MRI combined clinical-radiomics model has certain value in preoperative differentiation of iso-or hyperintensity in the hepatobiliary phase HCC and FNH, with a high accuracy, sensitivity and specificity.

[Relationship between preoperative inflammatory indexes and prognosis of patients with rectal cancer and establishment of prognostic nomogram prediction model].

Objective: To compare the prognostic evaluation value of preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII) in rectal cancer patients. Nomogram survival prediction model based on inflammatory markers was constructed. Methods: The clinical and survival data of 585 patients with rectal cancer who underwent radical resection in the First Affiliated Hospital of Xi'an Jiao tong University from January 2013 to December 2016 were retrospectively analyzed. The optimal cut-off values of NLR, PLR, LMR, and SII were determined by the receiver operating characteristic (ROC) curve. The relationship between different NLR, PLR, LMR and SII levels and the clinic pathological characteristics of the rectal cancer patients were compared. Cox proportional risk model was used for univariate and multivariate regression analysis. Nomogram prediction models of overall survival (OS) and disease-free survival (DFS) of patients with rectal cancer were established by the R Language software. The internal validation and accuracy of the nomograms were determined by the calculation of concordance index (C-index). Calibration curve was used to evaluate nomograms' efficiency. Results: The optimal cut-off values of preoperative NLR, PLR, LMR and SII of OS for rectal cancer patients were 2.44, 134.88, 4.70 and 354.18, respectively. There was statistically significant difference in tumor differentiation degree between the low NLR group and the high NLR group (P<0.05), and there were statistically significant differences in T stage, N stage, TNM stage, tumor differentiation degree and preoperative carcinoembryonic antigen (CEA) level between the low PLR group and the high PLR group (P<0.05). There was statistically significant difference in tumor differentiation degree between the low LMR group and the high LMR group (P<0.05), and there were statistically significant differences in T stage, N stage, TNM stage, tumor differentiation degree and preoperative CEA level between the low SII group and the high SII group (P<0.05). The multivariate Cox regression analysis showed that the age (HR=2.221, 95%CI: 1.526-3.231), TNM stage (Ⅲ grade: HR=4.425, 95%CI: 1.848-10.596), grade of differentiation (HR=1.630, 95%CI: 1.074-2.474), SII level (HR=2.949, 95%CI: 1.799-4.835), and postoperative chemoradiotherapy (HR=2.123, 95%CI: 1.506-2.992) were independent risk factors for the OS of patients with rectal cancer. The age (HR=2.107, 95%CI: 1.535-2.893), TNM stage (Ⅲ grade, HR=2.850, 95%CI: 1.430-5.680), grade of differentiation (HR=1.681, 95%CI: 1.150-2.457), SII level (HR=2.309, 95%CI: 1.546-3.447), and postoperative chemoradiotherapy (HR=1.837, 95%CI: 1.369-2.464) were independent risk factors of the DFS of patients with rectal cancer. According to the OS and DFS nomograms predict models of rectal cancer patients established by multivariate COX regression analysis, the C-index were 0.786 and 0.746, respectively. The calibration curve of the nomograms showed high consistence of predict and actual curves. Conclusions: Preoperative NLR, PLR, LMR and SII levels are all correlated with the prognosis of rectal cancer patients, and the SII level is an independent prognostic risk factor for patients with rectal cancer. Preoperative SII level can complement with the age, TNM stage, differentiation degree and postoperative adjuvant chemoradiotherapy to accurately predict the prognosis of rectal cancer patients, which can provide reference and help for clinical decision.

[Effect of gender factor on the effective dose of oxycodone for inhibiting responses to laryngeal mask airway insertion in elderly patients undergoing ophthalmic surgery].

Objective: To evaluate the effect of gender factor on the effective dose of oxycodone for inhibiting responses to laryngeal mask airway (LMA) insertion in elderly patients undergoing ophthalmic surgery. Methods: From June to October 2021, 56 elderly patients, including 26 females and 30 males, aged from 65 to 80 (72±5) years, with a body mass index (BMI) of 18.5-24.9 kg/m2 and American Society of Anesthesiologists (ASA) physical status of Ⅰ or Ⅱ, who underwent elective ophthalmic surgery requiring LMA insertion in the Beijing Tongren Hospital affiliated to Capital Medical University were selected. Patients were divided into two groups according to gender: elderly female group and elderly male group. The modified Dixon sequential method was used. Oxycodone 0.10 mg/kg was injected intravenously in the first patient. Etomidate 0.2 mg/kg and cisatracurium 0.1 mg/kg were administrated 5 min later. After 3 min, the laryngeal mask was placed when the bispectral index (BIS) ≤60. The positive response to LMA insertion was defined as an increase in the maximum mean arterial pressure or the maximum heart rate>20% of the baseline value within 2 min after insertion. When the response to LMA insertion was positive, the dose of oxycodone was increased in the next patient, otherwise the dose was decreased, and the ratio of adjacent dose was 1.1. This process was repeated until the 7th turning point occurred. The half-maximal effective doses (ED50) and 95% confidence intervals (CI) of oxycodone for inhibiting laryngeal mask insertion were calculated and compared between the two groups. Meanwhile, the adverse reactions during anesthesia induction were observed. Results: All 26 patients in the elderly female group completed the test, but one patient in the elderly male group withdrew due to poor alignment of laryngeal mask, and finally 29 patients completed the study. There were 13 cases and 14 cases who had positive response to LMA insertion in the elderly female and male groups, respectively. The ED50 (95%CI) of oxycodone for inhibiting laryngeal mask insertion in the elderly male group was 0.096 (0.083-0.112) mg/kg, which was higher than that in the elderly female group [0.081 (0.073-0.098) mg/kg, P=0.008]. No adverse reactions such as choking cough, muscle tremor, hypoxemia, nausea, vomiting, reflux and aspiration occurred in 55 patients, except that one patient in the elderly female group had transient hypotension after induction, which improved after symptomatic treatment. Conclusion: The ED50 of oxycodone for inhibiting laryngeal mask insertion reaction in ophthalmic surgery is different in patients with different genders, which is 0.096 (0.083-0.112) mg/kg in the elderly male group and 0.081 (0.073-0.098) mg/kg in the elderly female group.

[The prediction value of enhanced magnetic resonance imaging nomogram model for dual phenotype hepatocellular carcinoma].

Objective: To explore the value of enhanced magnetic resonance imaging nomogram model in the prediction of dual-phenotype hepatocellular carcinoma(DPHCC). Methods: Data of 116 patients of hepatocellular carcinoma (HCC) confirmed by postoperative pathology, who underwent preoperative enhanced MRI between January 2016 and March 2021 in the First Affiliated Hospital of Soochow University were retrospectively evaluated, of these, there are 87 males and 28 females, aged 30-79 (59±10) years, including 31 patients with DPHCC and 85 patients with non-DPHCC. The patients were randomly divided into training set(51 cases of non-DPHCC,19 cases of DPHCC)and validation set(34 cases of non-DPHCC, 12 cases of DPHCC) in a ratio of 6∶4, according to random number table,clinical and imaging characteristics of the two groups were compared. The statistically significant parameters were included in multivariate logistic regression to identify the independent predictors and for the establishment of the nomogram model. The receiver operating characteristic curves were used to evaluate the prediction ability of the models, the corrected curve was used to validate the model. Results: In the training group, the proportions of rim arterial phase hyperenhancement in the DPHCC was significantly higher than that of the non-DPHCC [47.4%(9/19)vs 7.8%(4/51),P<0.001]. Rim arterial phase hyper-enhancement and enhanced capsule were significant predictors for DPHCC[OR=10.17(1.70-60.80),0.17(0.03-0.93),all P<0.05]. In the training group, the area under curve (AUC), sensitivity and specificity of the nomogram were 0.888 (95%CI: 0.806-0.969), 78.9% and 86.3%. In the validation group, the above three indicators were 0.811(95%CI: 0.655-0.968), 75.0% and 82.4%. Conclusion: Enhanced MRI nomogram model has certain value in prediction of DPHCC, with high sensitivity and specificity.

[Comparison of the anesthetic effects of mivacurium and cisatracurium besylate in laser laryngeal microsurgery].

Objective: To compare the anesthetic effects of mivacurium and cisatracurium besylate in laser laryngeal microsurgery, and to provide clinical evidence and reference for further optimization of muscle relaxation application. Methods: From October 2021 to January 2022, fifty-six patients of Beijing Tongren Hospital, Capital Medical University, scheduled for laser laryngeal microsurgery with general anesthesia, were enrolled. These patients, aged 18-65 years old, 25 males and 31 females, were divided into two groups (n=28) by random number table method. Cisatracurium besylate group (group C): cisatracurium besylate was injected at 0.1 mg/kg. Normal saline was continuously infused during operation. Mivacurium group (group M):Mivacurium was injected at 0.25 mg/kg and continuously infused at 0.3 mg·kg-1·h-1 during operation.The intubation time, the extubation time, recovery index, Cooper's score, Cormack-Lehane grade, surgical condition grade, postoperative residual neuromuscular block and allergic related adverse events were compared between the two groups. Results: The intubation time and the extubation time of group M were (3.7±1.1) and (16.2±5.0) min, which were statistically significant shorter than those of group C (4.9±0.7) and (26.4±8.6) min (all P<0.05). The recovery indexes of the patients in group M and group C were (4.5±3.4) and (6.2±5.0) min. The Cooper's scores of the two groups were both 9(9, 9). The Cormack-Lehane grades of the two groups were all grade Ⅰ. The number of cases with good/excellent surgical condition grades in group M and group C were 5/23 and 0/28. There were no significant differences in recovery index, Cooper's score, Cormack-Lehane grades and surgical condition grades between the two groups (all P>0.05). The TOF ratio of group M in the post anesthesia care unit (PACU) was (95.7±2.6) %, which was significantly higher than (92.9±3.9) % of group C(P=0.015). There were no significant differences in MAP and HR between the two groups at different time points (all P>0.05). The incidence of skin flushing in group M and group C was 10.7% (3/28) and 0, and the difference was not statistically significant (P=0.074). There were no cases of severe hypotension, significantly elevated airway pressure or airway spasm in both groups. Conclusion: In laser laryngeal microsurgery, compared with cisatracurium besylate, mivacurium has shorter intubation time and extubation time, stable hemodynamics, no significant increase in allergic related adverse events. mivacurium is safe and effective.

[Safety and feasibility of stereotactic radiation therapy on porcine ventricular septum: a preliminary study].

Objective: To explore the safety and feasibility of stereotactic radiation therapy (SBRT) strategy for irradiating porcine ventricular septum, see if can provide a preliminary experimental evidence for clinical SBRT in patients with hypertrophic obstructive cardiomyopathy (HOCM). Methods: Five male pigs (39-49 kg, 6 months old) were used in this study. Pigs were irradiated at doses of 25 Gy (n=2) or 40 Gy (n=3). Delineation of the target volume was achieved under the guidance of 3-dimensional CT image reconstruction, and SBRT was then performed on defined target volume of porcine ventricular septum. Blood biomarkers, electrocardiogram and echocardiography parameters were monitored before and after SBRT. Pathological examination (HE staining, Masson staining) was performed on the target and non-target myocardium at 6 months post SBRT. Results: SBRT was successful and all animals survived to the designed study endpoint (6 months) after SBRT. Serum cardiac troponin T (cTnT) level was significantly higher than the baseline level at 1 day post SBRT, and reduced at 1 week after SBRT, but was still higher than the baseline level(P<0.05). Serum N-terminal pro-B type natriuretic peptide (NT-proBNP) was also significantly increased at 1 day post SBRT (P<0.05) and returned to baseline level at 1 week post SBRT. The serum NT-proBNP level was (249±78), (594±37) and (234±46) pg/ml, respectively, and the cTnT was (14±7), (240±40) and (46±34) pg/ml, respectively at baseline, 1 day and 1 week after SBRT in the 40 Gy dose group. The serum NT-proBNP level was (184±20), (451±49) and (209±36) pg/ml, respectively, the cTnT values ​​were (9±1), (176±29) and (89±27) pg/ml, respectively at baseline, 1 day and 1 week after SBRT in the 25 Gy dose group. Both NT-proBNP and cTnT values tended to be higher post SBRT in the 40 Gy dose group as compared with the 25 Gy dose group, but the difference was not statistically significant (P>0.05). The left ventricular ejection fraction and the left ventricular end-diastolic diameter remained unchanged before and after SBRT (P>0.05). The interventricular septum thickness showed a decreasing trend at 6 months after SBRT, but the difference was not statistically significant ((9.54±0.24) mm vs. (9.82±8.00) mm, P>0.05). The flow velocity of the left ventricular outflow tract, and the valve function and morphology were not affected by SBRT. At 6 months after SBRT, HE staining revealed necrosis in the irradiated target area of ​​the myocardium in the 40 Gy dose group and the 25 Gy dose group, and the degree of necrosis in the irradiated interventricular septum was more obvious in the 40 Gy dose group as compared with the 25 Gy group. The combined histological analysis of the two groups showed that the necrotic area of ​​the irradiated target area accounted for (26±9)% of the entire interventricular septum area, which was higher than that of the non-irradiated area (0) (P<0.05). There was no damage or necrosis of myocardial tissue outside the target irradiation area in both groups. The results of Masson staining showed that the percentage area of myocardial fibrosis was significantly higher in the irradiated target area than non-irradiated area ((12.6±5.3)% vs. (2.5±0.8)%, P<0.05). Conclusion: SBRT is safe and feasible for irradiating porcine ventricular septum.

CT-based radiomics model to distinguish necrotic hepatocellular carcinoma from pyogenic liver abscess.

AIM: To investigate the feasibility of a computed tomography (CT)-based radiomics model in distinguishing necrotic hepatocellular carcinoma (nHCC) from pyogenic liver abscess (PLA). MATERIAL AND METHODS: One hundred-four enrolled patients with nHCC (n=56) and PLA (n=48) were divided randomly into a training cohort (n=62) and validation cohort (n=42). ROI (region of interest) of the wall (ROI-wall) and ROI of the necrotic cavity (ROI-necrotic cavity) of the lesion were delineated from each arterial phase (AP) and portal venous phase (PP) image. The least absolute shrinkage and the selection operator logistic regression method was used to select radiomics features, and radiomics scores (R-scores) were calculated. Four radiomics models, including R-score (ROI-wall) in the AP, R-score (ROI-necrotic cavity) in the AP, R-score (ROI-wall) in the PP and R-score (ROI-necrotic cavity) in the PP, were constructed and evaluated by area under the curve (AUC) of receiver operating characteristic curve. RESULTS: The AUCs of R-score (ROI-wall) in the AP, R-score (ROI-necrotic cavity) in the AP, R-score (ROI-wall) in the PP, and R-score (ROI-necrotic cavity) in the PP were 0.935 and 0.917, 0.906 and 0.824, 0.985 and 0.928, 0.899 and 0.850, in the training and validation cohorts, respectively. In the training cohort, the AUC of R-score (ROI-wall) in the PP was higher than that of R-score (ROI-wall) in the AP (p=0.024) or R-score (ROI-necrotic cavity) in the AP (p=0.046) or R-score (ROI-necrotic cavity) in the PP (p=0.044). CONCLUSION: CT-based radiomics models can be used to distinguish nHCC from PLA.

[Correlation between nUGT1A1 gene polymorphisms and adverse events of irinotecan plus S-1 for patients with recurrent or metastatic esophageal squamous cell carcinoma: a prospective, open-label, randomized controlled trial (ESWN 01)].

Objective: To investigate the correlation between UGT1A1 polymorphisms and the irinotecan plus S-1 regimen-induced toxicities in Chinese advanced esophageal squamous cell carcinoma (ESCC) patients. Methods: A total of 46 recurrent or metastatic ESCC patients selected from ESWN 01 trial were randomly assigned to irinotecan plus S-1 group [intravenous infusion of irinotecan (160 mg/m(2)) on day 1 and oral S-1 (80-120 mg) on days 1-10, repeated every 14 days]. Peripheral venous blood at baseline was collected and genomic DNA was extracted. The genetic polymorphisms of UGT1A1*6 and UGT1A1*28 were analyzed by polymerase chain reaction (PCR) amplification. Irinotecan plus S-1 regimen-induced toxicities of patients with different UGT1A1 polymorphisms were observed. The correlation between UGT1A1 polymorphisms and the adverse effects was analyzed. Results: Among the 46 patients, the numbers of UGT1A1*6 wild type genotype (GG), mutant heterozygote (GA) and mutant homozygote (AA) were 30, 15 and 1, while those with UGT1A1*28 wild type genotype (TA6/6), mutant heterozygote (TA6/7) and mutant homozygote (TA7/7) were 36, 8 and 2, respectively. Only one patient with UGT1A1*6 AA genotype occurred grade 3 diarrhea, while one of the 2 patients with UGT1A1*28 TA7/7 genotype occurred grade 4 diarrhea. No neutropenia was observed in the patient with UGT1A1*6 AA genotype, however, both of the two patients with UGT1A1*28 TA7/7 genotype occurred grade 3-4 neutropenia. Patients with UGT1A1*28 genetic polymorphism (TA 6/7 or TA7/7) had a higher response rate compared with wild-type TA6/6 carriers. (55.6% versus 26.5%). Conclusions: The homozygous genotype of UGT1A1*6 AA and UGT1A1*28 TA7/7 are rare (<5%) in Chinese ESCC population. Not all homozygous AA and TA7/7 carriers occur severe dose limited toxicities (DLT) when treated with irinotecan (160 mg/m(2)) plus S-1 regimen for 2 weeks. However, it's still necessary torigorously observe the occurrence of severe diarrhea and neutropenia in patients with UGT1A1*6 AA and UGT1A1*28 TA7/7 and adjust the dose timely.

[Feasibility on the diagnosis of non-calcified plaque based on radiomics of pericoronary adipose tissue on plain CT scan image].

Objective: To investigate the diagnostic value of radiomics model based on plain CT scan of peripheral coronary artery adipose tissue for non-calcified plaque. Methods: The image data of 461 patients undergoing coronary CT angiography (CCTA) in the Department of Radiology of the First Affiliated Hospital of Suzhou University from August 1,2019 to July 31,2020 were retrospectively analyzed. Two hundred and six cases (355 branches) with non-calcified plaques, and 255 cases (510 branches) with no coronary artery disease were detected by CCTA. The regions of interest (ROI) of the pericoronary adipose tissue were segmented on the plain CT scan images (coronary calcification score (CCS) sequence). The coronary ROI was determined by selecting the coronary artery with a length of 40 mm and starting at 10 mm from the opening of the coronary artery, and the pericoronary adipose ROI was generated automatically. The pericoronary fat attenuation index (FAI) was then performed, and the radiomics features were extracted. The 865 coronary arteries were divided into the training group (n=606) and the testing group (n=259) at a ratio of 7∶3, and the radiomics model was carried out. The receiver operating characteristic (ROC) analysis was used to assess the FAI value and the diagnostic efficacy of the radiomics model for non-calcified plaque. Results: A total of 1 692 features were extracted from images of pericoronary adipose based on plain scan. All features were screened by using max-relevance and min-redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO), and 14 features were selected for the establishment of the radiomics model. The accuracy, sensitivity, specificity and area under the curve (AUC) of the model in distinguishing patients with non-calcified plaque and those without coronary stenosis in the testing group were 70.3%, 63.2%, 75.2% and 0.75, respectively. Conclusion: The radiomics model based on plain CT scan of the pericoronary adipose tissue had good diagnostic efficacy for non-calcified plaque.

[Comparison of the post-operative analgesic effect of ultrasound-guided serratus anterior plane block combined with pectoral nerves block â and thoracic paravertebral block in radical mastectomy].

Objective: To investigate the serratus anterior plane block combined with pectoral nerves block I can produce a non-inferior analgesic effect compared with thoracic paravertebral block for radical mastectomy. Methods: From October 2020 to February 2021, Sixty-four patients of Beijing Tongren Hospital, Capital Medical University scheduled for radical mastectomy with general anesthesia,were divided into two groups (n = 32 each) using a random number table method: thoracic paravertebral block group (TPVB group) and serratus anterior plane block combined with pectoral nerves block I group (S&P group). All patients received patient controlled intravenous analgesia (PCIA) postoperatively. The numerical rating scale (NRS) at post anesthesia care unit (PACU), 4, 8, 12, 24, 48 h after operation were compared between the two groups. Sufentanil cumulative dosage of PCIA in 24 h and 48 h, first press time after operation, total press times, the dosage of propofol, remifentanil and vasoactive drugs during operation, intraoperative blood pressure and heart rate, the operation time of block and adverse effects were all compared. Non-inferiority could be claimed if the difference of sufentanil cumulative dosage in 24 h between S&P group and TPVB group is higher than the negative value (-3.8) of the non-inferiority effect. Results: There was no significant difference in postoperative NRS at PACU, 4, 8, 12, 24, 48 h after operation, first press time after operation, total press times, propofol and remifentanil dosage, sufentanil cumulative dosage of PCIA in 24 h and 48 h, and adverse effects (all P>0.05). The sufentanil cumulative dosage of PCIA in 24 h of S&P group and of TPVB group were (15.8±4.7) µg and (15.2±3.2) µg. The 95% confidence interval (CI) of the difference between S&P group and of TPVB group was -1.478 to 2.694, and the lower limit was greater than non-inferiority margin -3.8. The mean arterial pressure of TPVB patients after induction and at the beginning of the operation were (63±7) mmHg and (70±7) mmHg, which were significantly lower than the (77±5) mmHg and (79±8) mmHg at the same time in the combination group (both P<0.05). The frequency of vasoactive drugs usage in TPVB group was 56.3%, which was statistically significant higher than the 18.8% in S&P group (P<0.01). Nerve block time in TPVB group was 10 (9, 11) min, which was significantly longer than 8 (6, 10) min in S&P group (P<0.01). Conclusion: The serratus anterior block combined with pectoral nerves block I can produce a non-inferior analgesic effect compared with thoracic paravertebral block for radical mastectomy, and the intraoperative hemodynamics is more stable and the block time is shorter than that of thoracic paravertebral block for radical mastectomy.

[Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].

Objective: To explore the value of machine learning models in preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) based on dual-phase contrast-enhanced CT radiomics features. Methods: The data of 148 patients [106 males and 42 females, with an average age of (58±11) years] with HCC confirmed by pathology in the First Affiliated Hospital of Soochow University from January 2015 to May 2020 were retrospectively analyzed, including 88 cases of positive MVI and 60 cases of negative MVI. According to the ratio of 7∶3, the patients were randomly divided into the training and validation sets, respectively. The three-dimensional (3D) radiomics features of HCC in arterial phase (AP) and portal venous phase (PP) were extracted by MaZda software, and the optimal feature subset was obtained by combining three feature selection methods (FPM method) and Lasso regression. Then, six machine learning methods were used to build the prediction models. Receiver operating characteristic (ROC) curves were drawn to evaluate the prediction ability of the aforementioned models, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. Results: Radiomics features of HCC in AP and PP were extracted by MaZda software, with 239 in each phase. There were 7 optimal features in AP and 14 optimal features in PP selected by FPM method and Lasso regression, respectively. The AUCs of decision tree, extreme gradient boosting, random forest, support vector machine (SVM), generalized linear model, and neural network based on the 7 optimal features in AP in the validation set were 0.736, 0.910, 0.913, 0.915, 0.897, 0.648, respectively. The SVM had the highest AUC in the validation set, with the accuracy, sensitivity and specificity of 95.35%, 95.83% and 94.74%, respectively. Likewise, the AUCs of machine learning models in prediction of MVI in HCC based on the 14 optimal features in PP in the validation set were 0.873, 0.876, 0.913, 0.859, 0.877, 0.834, respectively, and there were no significant differences (all P>0.05). The random forest had the highest AUC in the validation set, with the accuracy, sensitivity and specificity of 90.70%, 87.50% and 94.74%, respectively. Conclusion: Machine learning models based on dual-phase enhanced CT radiomics features can be used in preoperative prediction of MVI in HCC, particularly the SVM and random forest models have high prediction efficiency.

[The value of analysis of quantitative radiomics based on DTI in predicting astrocytoma IDH1 mutation].

Objective: Non-invasive prediction of IDH1 mutations by establishing a quantitative radiographic model based on DTI-based whole-tumor texture analysis. Methods: Preoperative MRI images of patients with surgically confirmed astrocytoma were collected in the First Affiliated Hospital of Soochow University from February 2016 to June 2019, including T(1)WI, T(2)WI, DTI, and T(1)-contrast enhancement images.A total of 38 patients were included, consisting of 12 mutants and 26 wilds, 20 males and 18 females, the average age was (49±15) years old.The ROIs were drawn on each level of the T(2)WI image using MaZda software and copied to the ADC and FA maps to extract texture feature parameters. The LASSO regression was used to determine the best radiomics features, radiological scores were calculated, and binary Logistic regression was used to construct a prediction model, then the ROC curve was used to analyze the diagnostic efficiency and the calibration curve was used to evaluate model prediction performance. Results: The four most valuable radiomics features were determined by LASSO regression, and then the radiomics scores and Logistic regression models of each patient were established. The radiomics scores of the wild and mutant groups were 2.3±0.3 and 1.8±0.4. There were significant differences between the groups (P<0.05). The ROC curve analysis showed an AUC of 0.837 with sensitivity and specificity of 91.7% and 61.5%, respectively. The Logistic regression model had good predictive performance with AUC of 0.907, sensitivity and specificity of 91.7% and 84.6%. Conclusions: DTI-based whole tumor radiomics model is benefit for predicting astrocytoma IDH1 mutations.

[The value of CT radiomics in the prediction of EGFR mutation in lung cancer].

Objective: To explore the value of CT radiomics quantitative features in the prediction of epidermal growth factor receptor (EGFR) mutation in lung cancer. Methods: The data of 144 patients, 75 males, 69 females, median age 54 (25-68 years), with EGFR gene test results in lung cancers diagnosed in the First Affiliated Hospital of Soochow University were retrospectively analyzed, including 81 patients, 39 males, 42 females, median age 52 (25-64)years old, with EGFR mutations and 63 patients,36 males,27 females,median age 56(32-68) years old,with EGFR wild types. According to a ratio of 2︰1, patients were randomly assigned to the training group and validation group. MaZda software was used to extract radiomics features including the gray level histogram (GLH), absolute gradient (GRA), gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), auto-regressive model (ARM) and wavelets transform (WAV), and so on. Fisher coefficients (Fisher), classification error probability combined average correlation coefficients (POE+ACC) and mutual information (MI) were used to select 10 optimal features making up the optimal feature subsets. The optimal feature subsets were analyzed by using linear discriminant analysis (LDA) and nonlinear discriminant analysis (NDA) to calculate the accuracy, sensitivity and specificity in the differential diagnosis of EGFR mutant types and wild types in lung cancers. The prediction model was established using the optimal feature subsets with the highest accuracy in the training group with artificial neural network (ANN). The established prediction model was used to differentiate EGFR mutant types from wild types in the validation group. Results: MaZda software extracted a total of 301 quantitative features in the CT images for the patients with EGFR mutant types and EGFR wild types in the training group. The optimal feature subsets obtained from Fisher-NDA and (POE+ACC)-NDA had the highest accuracy of 93.8%, in the differential diagnosis of the EGFR mutant types and EGFR wild types of lung cancer in the training group. The optimal feature subset prediction model obtained from Fisher-NDA had the accuracy, sensitivity and specificity of 83.3%, 86.7% and 77.8%, respectively, in the differential diagnosis of the EGFR mutant types and EGFR wild types of lung cancer in the validation group. Conclusion: The optimal subset of CT radiomics features has high accuracy in predicting EGFR mutations in lung cancer, providing a new method for predicting gene expression of lung cancer.

[Analysis of factors related to recanalization of intramural hematoma-type carotid artery dissection].

Objective: To investigate the factors related to recanalization of intramural hematoma-type carotid artery dissection (CAD). Methods: Retrospective analysis was performed on 56 patients (61 CADs) with intramural-hematoma type CAD confirmed by multimodal imaging examination based on cervical vascular ultrasound (CDU) in the Stroke Center of the First Affiliated Hospital of Suzhou University from August 2015 to May 2019. The clinical and imaging data were collected, and the time from onset to visit is bounded by 14 days. CDU follow-up was performed at 3, 6, and 12 months after the onset. According to the results of the 12-month follow-up, patients were divided into complete recanalization group and incomplete recanalization group. The clinical data, ultrasonic manifestations and drug treatment of patients between the two groups were compared. Multivariate logistic regression analysis was used to analyze the related factors affecting vascular recanalization. Results: Vascular recanalization: the rates of complete recanalization at 3, 6 and 12 months were 42.6% (26/61), 55.7% (34/61) and 59.0% (36/61), respectively. While among the 25 vessels in the incomplete recanalization group, 26.2% (16/61) showed residual stenosis and 14.8% (9/61) showed persistent occlusion. Comparison between the complete recanalization group and the incomplete recanalization group: the differences in the proportion of time from onset to visit ≤ 14 days, the echo type of intramural hematoma, and the proportion of vascular occlusion were statistically significant (all P<0.05). Multivariate logistic regression analysis showed that the time from onset to visit ≤14 days (OR=5.625, 95%CI: 1.302-24.293, P=0.021), and the hypoechoic intramural hematoma (OR=4.888, 95%CI: 1.304-18.320, P=0.019) were positively correlated with complete recanalization, while the dissection vascular occlusion (OR=0.234, 95%CI: 0.059-0.932, P=0.039) was negatively correlated with complete recanalization. Conclusions: CDU showed that hypoechoic intramural hematoma-type CAD treated with standard medications in the acute phase had a higher complete recanalization rate, while the recanalization rate of patients with dissecting vessel occlusion decreased. Early evaluation can provide a basis for clinical individualized treatment.

[The predictive value of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid enhanced MRI imaging features combined with quantitative parameters for the pathologic grading of hepatocellular carcinoma].

Objective: To investigate the predictive value of gadolinium-ethoxybenzyl- diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI imaging features combined with quantitative parameters for the pathologic grading of hepatocellular carcinoma (HCC). Methods: Eighty patients (65 males, 15 females; range 30-74 years,average age (59±11) years old) with HCC who underwent curative resection or biopsy from June 2016 to June 2019 in the First Affiliated Hospital of Soochow University after Gd-EOB-DTPA-enhanced MRI were evaluated retrospectively.According to the pathological results of the postoperative pathology, eighty patients were divided into poorly differentiated group (26 cases, 22 males, 4 females) and moderately-well differentiated group (54 cases, 43 males, 11 females). In Gd-EOB-DTPA-enhanced MRI, qualitative parameters were assessed. Quantitative parameters including tumor size, tumor-to-liver signal intensity ratio(SIR) of arterial phase (AP), portal vein phase (PP), equilibrium phase (EP) and hepatobiliary phase (HBP), contrast enhancement ration AP (CER-AP)were measured and calculated. Clinical data and qualitative parameters between poorly differentiated group and moderately-well differentiated group were analyzed by using χ(2) test.Quantitative parameters were analyzed by using independent sample t test. Statistically significant qualitative parameters, quantitative parameters, qualitative combined with quantitative parameters and AFP combined with qualitative and quantitative parameters were included in binary logistic regression model. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the four prediction model for the pathologic grading of HCC. Results: There was a statistical difference between poorly differentiated group and moderately-well differentiated group in AFP, arterial peritumoral enhancement, arterial rim enhancement, peritumoral hypointensity on HBP and tumor signal (all P<0.05). In two groups, tumor size, SIR-AP and SIR-PP were (7.0±3.7) vs (3.9±2.4)cm,1.11±0.29 vs 1.31±0.32 and 0.89±0.21 vs 1.03±0.27 (all P<0.05). AUC of qualitative parameters, quantitative parameters, qualitative combined with quantitative parameters and AFP combined with qualitative and quantitative parameters were 0.805, 0.804, 0.855, 0.892.There was a statistical difference between qualitative parameters and qualitative combined with quantitative parameters in sensitivity(80.8% vs 92.3%, P<0.05). Conclusion: Gd-EOB-DTPA-enhanced MRI imaging features combined with quantitative parameters can be used to predict the pathologic grading of HCC preoperatively, which has a great applicative value.