Long range topography by dispersion unmatched spectral-domain interferometry based on virtually imaged phased array modes.

We propose to realize a long range topography by dispersion unmatched spectral-domain interferometry based on virtually imaged phased array (VIPA) modes. By filtering the continuous spectrum of a supercontinuum source through a side-entrance Fabry-Perot etalon configured at two input angles, two groups of VIPA modes are generated. A method based on unmatched dispersion is proposed for non-aliasing reconstruction of the true depth from the interference spectrum under-sampled at two groups of VIPA modes. With the high spectral resolution provided by the VIPA modes instead of the grating-based spectrometer, only a 10 dB falloff in sensitivity over a range of 10 mm was demonstrated. The feasibility of the proposed method was confirmed by topography of a sample of gauge blocks and a model of three-dimensional (3D) printed tooth. The occlusal surface of the tooth model was further quantitatively evaluated, demonstrating its potential application in long range 3D topography.

Ensemble Machine Learning Model Incorporating Radiomics and Body Composition for Predicting Intraoperative HDI in PPGL.

CONTEXT: Intraoperative hemodynamic instability (HDI) can lead to cardiovascular and cerebrovascular complications during surgery for pheochromocytoma/paraganglioma (PPGL). OBJECTIVES: We aimed to assess the risk of intraoperative HDI in patients with PPGL to improve surgical outcome. METHODS: A total of 199 consecutive patients with PPGL confirmed by surgical pathology were retrospectively included in this study. This cohort was separated into 2 groups according to intraoperative systolic blood pressure, the HDI group (n = 101) and the hemodynamic stability (HDS) group (n = 98). It was also divided into 2 subcohorts for predictive modeling: the training cohort (n = 140) and the validation cohort (n = 59). Prediction models were developed with both the ensemble machine learning method (EL model) and the multivariate logistic regression model using body composition parameters on computed tomography, tumor radiomics, and clinical data. The efficiency of the models was evaluated with discrimination, calibration, and decision curves. RESULTS: The EL model showed good discrimination between the HDI group and HDS group, with an area under the curve of (AUC) of 96.2% (95% CI, 93.5%-99.0%) in the training cohort, and an AUC of 93.7% (95% CI, 88.0%-99.4%) in the validation cohort. The AUC values from the EL model were significantly higher than the logistic regression model, which had an AUC of 74.4% (95% CI, 66.1%-82.6%) in the training cohort and an AUC of 74.2% (95% CI, 61.1%-87.3%) in the validation cohort. Favorable calibration performance and clinical applicability of the EL model were observed. CONCLUSION: The EL model combining preoperative computed tomography-based body composition, tumor radiomics, and clinical data could potentially help predict intraoperative HDI in patients with PPGL.

Evaluation of the efficacy and safety of CalliSpheres® microsphere-transarterial chemoembolization in large hepatocellular carcinoma.

OBJECTIVE: The prognosis of large hepatocellular carcinoma (HCC) is still unfavorable due to limited and challenging treatment. CalliSpheres® microsphere-transarterial chemoembolization (CSM-TACE) is an effective therapy for general HCC but not frequently applied for large HCC. Hence, this study aimed to investigate the efficacy and safety of CSM-TACE in large HCC patients. MATERIALS AND METHODS: This prospective study analyzed 100 large HCC (tumor size >5 cm) patients receiving CSM-TACE. Treatment response, survival, change in liver function indexes, and adverse events were recorded. RESULT: The best complete response, partial response, stable disease, and progressive disease rates were 2.0%, 31.3%, 65.7%, and 1.0%, respectively, leading to the best objective response rate (ORR) of 33.3% and disease control rate of 99.9%. Multivariate analysis showed that intrahepatic metastasis was independently related to poor ORR (odd ratio = 0.366, P = 0.023). The 1- and 2-year progression-free survival (PFS) rates were 88.9% and 80.6%, with a mean [95% confidence interval (CI)] PFS of 21.6 (20.4-22.9) months. The 1- and 2-year overall survival (OS) rates were 99.0% and 99.0%, with a mean (95% CI) OS of 23.8 (23.3-24.2) months. Total bilirubin (P < 0.001), alanine transaminase (P < 0.001), aspartate transaminase (P < 0.001), and α-fetoprotein (P = 0.045) were abnormal in a short-term period then stably recovered from 1 month ± 15 days after drug-eluting bead-TACE to 24 months ± 15 days. During hospitalization and postdischarge, tolerable abdominal pain and decreased appetite were common adverse events. CONCLUSIONS: CSM-TACE shows favorable treatment response and survival with acceptable tolerance among large HCC patients, indicating that it may promote the management of these patients.

A Phase 1/2 Multicenter Randomized Trial of Local Ablation plus Toripalimab versus Toripalimab Alone for Previously Treated Unresectable Hepatocellular Carcinoma.

PURPOSE: To assess the safety and efficacy of local ablation plus PD-1 inhibitor toripalimab in previously treated unresectable hepatocellular carcinoma (HCC). PATIENTS AND METHODS: In the multicenter, two-stage, and randomized phase 1/2 trial, patients were randomly assigned to receive toripalimab alone (240 mg, every 3 weeks), subtotal local ablation followed by toripalimab starting on post-ablation day 3 (Schedule D3), or on post-ablation day 14 (Schedule D14). The first endpoint of stage 1 was to determine which combination schedule could continue and progression-free survival (PFS) as the primary endpoint for stage 1/2. RESULTS: A total of 146 patients were recruited. During stage 1, Schedule D3 achieved numerically higher objective response rate (ORR) than Schedule D14 for non-ablation lesions (37.5% vs. 31.3%), and was chosen for stage 2 evaluation. For the entire cohort of both stages, patients with Schedule D3 had a significantly higher ORR than with toripalimab alone (33.8% vs. 16.9%; P = 0.027). Moreover, patients with Schedule D3 had improved median PFS (7.1 vs. 3.8 months; P < 0.001) and median overall survival (18.4 vs. 13.2 months; P = 0.005), as compared with toripalimab alone. In addition, six (9%) patients with toripalimab, eight (12%) with Schedule D3, and 4 (25%) with Schedule D14 developed grade 3 or 4 adverse events, and one patient (2%) with Schedule D3 manifested grade 5 treatment-related pneumonitis. CONCLUSIONS: In patients with previously treated unresectable HCC, subtotal ablation plus toripalimab improved the clinical efficacy as compared with toripalimab alone, with an acceptable safety profile.

Transjugular Intrahepatic Portosystemic Shunt Benefits for Hepatic Sinusoidal Obstruction Syndrome Associated with Consumption of Gynura Segetum: a Propensity Score-Matched Analysis.

PURPOSE: Pyrrolidine alkaloids-related hepatic sinusoidal obstruction syndrome (PA-HSOS) is associated with a high mortality rate without standardized therapy. The efficacy of transjugular intrahepatic portosystemic shunts (TIPS) remains controversial. The study aimed to explore the risk factors influencing the clinical response in patients with PA-HSOS related to Gynura segetum (GS) to assess the disease prognosis at an early stage and to evaluate the efficacy of TIPS in these patients. METHODS: This study retrospectively enrolled patients diagnosed with PA-HSOS between January 2014 and June 2021 with a clear history of exposure to GS. Univariate and multivariate logistic regression analyses were used to evaluate the risk factors influencing the clinical response in patients with PA-HSOS. Propensity score matched (PSM) was performed to compensate for differences in baseline characteristics between patients with and without TIPS. The primary outcome was the clinical response defined as the disappearance of ascites with normal total bilirubin levels and/or a reduction of elevated transaminase levels < 50% within 2 weeks. RESULTS: A total of 67 patients were identified in our cohort with a clinical response rate of 58.2%. Of these, thirteen patients were assigned to the TIPS group and 54 to the conservative treatment group. Logistic regression analysis revealed that TIPS treatment (P = 0.047), serum globulin levels (P = 0.043), and prothrombin time (P = 0.001) were independent factors influencing clinical response. After PSM, there was a higher long-term survival rate of patients (92.3% vs. 51.3%, P = 0.021) and a shorter hospital stay (P = 0.043), but a high trend in hospital costs (P = 0.070) in the TIPS group. The 6-month survival probability in patients undergoing TIPS therapy was more than ninefold higher than in patients without receiving that treatment [hazard ratio (95% CI) = 9.304 (4.250, 13.262), P < 0.05]. CONCLUSIONS: TIPS therapy may be an effective treatment option for patients with GS-related PA-HSOS.

CT-based assessment of sarcopenia for differentiating wild-type from mutant-type gastrointestinal stromal tumor.

Non-invasive prediction for KIT/PDGFRA status in GIST is a challenging problem. This study aims to evaluate whether CT based sarcopenia could differentiate KIT/PDGFRA wild-type gastrointestinal stromal tumor (wt-GIST) from the mutant-type GIST (mu-GIST), and to evaluate genetic features of GIST. A total of 174 patients with GIST (wt-GIST = 52) were retrospectively identified between January 2011 to October 2019. A sarcopenia nomogram was constructed by multivariate logistic regression. The performance of the nomogram was evaluated by discrimination, calibration curve, and decision curve. Genomic data was obtained from our own specimens and also from the open databases cBioPortal. Data was analyzed by R version 3.6.1 and clusterProfiler ( http://cbioportal.org/msk-impact ). There were significantly higher incidence (75.0% vs. 48.4%) and more severe sarcopenia in patients with wt-GIST than in patients with mu-GIST. Multivariate logistic regression analysis showed that sarcopenia score (fitted based on age, gender and skeletal muscle index), and muscle fat index were independent predictors for higher risk of wt-GIST (P < 0.05 for both the training and validation cohorts). Our sarcopenia nomogram achieved a promising efficiency with an AUC of 0.879 for the training cohort, and 0.9099 for the validation cohort with a satisfying consistency in the calibration curve. Favorable clinical usefulness was observed using decision curve analysis. The additional gene sequencing analysis based on both our data and the external data demonstrated aberrant signal pathways being closely associated with sarcopenia in the wt-GIST. Our study supported the use of CT-based assessment of sarcopenia in differentiating the wt-GIST from the mu-GIST preoperatively.

CT radiomics identifying non-responders to neoadjuvant chemoradiotherapy among patients with locally advanced rectal cancer.

BACKGROUND AND PURPOSE: Early detection of non-response to neoadjuvant chemoradiotherapy (nCRT) for locally advanced colorectal cancer (LARC) remains challenging. We aimed to assess whether pretreatment radiotherapy planning computed tomography (CT) radiomics could distinguish the patients with no response or no downstaging after nCRT from those with response and downstaging after nCRT. MATERIALS AND METHODS: Patients with LARC who were treated with nCRT were retrospectively enrolled between March 2009 and March 2019. Traditional radiological characteristics were analyzed by visual inspection and radiomic features were analyzed through computational methods from the pretreatment radiotherapy planning CT images. Differentiation models were constructed using radiomic methods and clinicopathological characteristics for predicting non-response to nCRT. Model performance was assessed for classification efficiency, calibration, discrimination, and clinical application. RESULTS: This study enrolled a total of 215 patients, including 151 patients in the training cohort (50 non-responders and 101 responders) and 64 patients in the validation cohort (21 non-responders and 43 responders). For predicting non-response, the model constructed with an ensemble machine learning method had higher performance with area under the curve (AUC) values of 0.92 and 0.89 as compared to the model constructed with the logistic regression method (AUC: 0.72 and 0.71 for the training and validation cohorts, respectively). Both decision curve and calibration curve analyses confirmed that the ensemble machine learning model had higher prediction performance. CONCLUSION: Pretreatment CT radiomics achieved satisfying performance in predicting non-response to nCRT and could be helpful to assist in treatment planning for patients with LARC.

Impact of body composition and genotype on haemodynamics during surgery for pheochromocytoma and paraganglioma.

BACKGROUND: Maintaining intraoperative haemodynamic stability can reduce cardiovascular complications during surgery for pheochromocytoma and paraganglioma (PPGL). Risk factors such as tumour size and catecholamine levels are reported to predict haemodynamic responses during surgery for PPGL. We hypothesized that additional factors including body composition and genetic information could further improve prediction. METHODS: Consecutive patients with PPGL confirmed by surgical pathology between June 2010 and June 2019 were retrospectively included. Cross-sectional computed tomography images at the L3 level were used to assess body composition parameters including skeletal muscle area and visceral fat area. Next-generation sequencing was performed using a panel containing susceptibility genes of PPGL. Differences in clinical-genetic characteristics and body composition parameters were analysed and compared in patients with and without intraoperative haemodynamic instability (HDI). RESULTS: We included 221 patients with PPGL (median age 47 [38-56] years, and 52% male). Among them, 49.8% had Cluster 2 mutations (related to kinase signalling pathways), 44.8% had sarcopenia, and 52.9% experienced intraoperative HDI. Compared with patients without HDI, more patients with HDI had Cluster 2 mutations (59.8% vs. 38.5%, P = 0.002) and less had sarcopenia (35.9% vs. 54.8%, P = 0.005). Multivariate analysis showed that urine vanillylmandelic acid ≥ 58 µmol/day (adjusted odds ratio [OR] = 1.840, 95% confidence interval [CI] = 1.012-3.347, P = 0.046), tumour size ≥ 4 cm (adjusted OR = 2.278, 95% CI = 1.242-4.180, P = 0.008), and Cluster 2 mutations (adjusted OR = 2.199, 95% CI = 1.128-4.285, P = 0.021) were independent risk factors for intraoperative HDI, while sarcopenia (adjusted OR = 0.475, 95% CI = 0.266-0.846, P = 0.012) decreased the risk. CONCLUSIONS: Body composition and genotype were associated with intraoperative haemodynamics in patients with PPGL. Our results indicated that inclusion of body composition and genotype in the overall assessment of patients with PPGL helped to predict HDI during surgery, which could assist in implementing preoperative and intraoperative measures to reduce perioperative complications.

Myosteatosis can Predict Unfavorable Outcomes in Advanced Hepatocellular Carcinoma Patients Treated With Hepatic Artery Infusion Chemotherapy and Anti-PD-1 Immunotherapy.

Aim: To evaluate the feasibility of computed tomography (CT) - derived measurements of body composition parameters to predict the risk factor of non-objective response (non-OR) in patients with hepatocellular carcinoma (HCC) undergoing anti-PD-1 immunotherapy and hepatic artery infusion chemotherapy (immune-HAIC). Methods: Patients with histologically confirmed HCC and treated with the immune-HAIC were retrospectively recruited between June 30, 2019, and July 31, 2021. CT-based estimations of body composition parameters were acquired from the baseline unenhanced abdominal CT images at the level of the third lumbar vertebra (L3) and were applied to develop models predicting the probability of OR. A myosteatosis nomogram was built using the multivariate logistic regression incorporating both myosteatosis measurements and clinical variables. Receiver operating characteristic (ROC) curves assessed the performance of prediction models, including the area under the curve (AUC). The nomogram's performance was assessed by the calibration, discrimination, and decision curve analyses. Associations among predictors and gene mutations were also examined by correlation matrix analysis. Results: Fifty-two patients were recruited to this study cohort, with 30 patients having a OR status after immune-HAIC treatment. Estimations of myosteatosis parameters, like SM-RA (skeletal muscle radiation attenuation), were significantly associated with the probability of predicting OR (P=0.007). The SM-RA combined nomogram model, including serum red blood cell, hemoglobin, creatinine, and the mean CT value of visceral fat (VFmean) improved the prediction probability for OR disease with an AUC of 0.713 (95% CI, 0.75 to 0.95) than the clinical model nomogram with AUC of 0.62 using a 5-fold cross-validation methodology. Favorable clinical potentials were observed in the decision curve analysis. Conclusions: The CT-based estimations of myosteatosis could be used as an indicator to predict a higher risk of transition to the Non-OR disease state in HCC patients treated with immune-HAIC therapy. This study demonstrated the therapeutic relevance of skeletal muscle composition assessments in the overall prediction of treatment response and prognosis in HCC patients.

Pre-Treatment Computed Tomography Radiomics for Predicting the Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer: A Retrospective Study.

Background and Purpose: Computerized tomography (CT) scans are commonly performed to assist in diagnosis and treatment of locally advanced rectal cancer (LARC). This study assessed the usefulness of pretreatment CT-based radiomics for predicting pathological complete response (pCR) of LARC to neoadjuvant chemoradiotherapy (nCRT). Materials and Methods: Patients with LARC who underwent nCRT followed by total mesorectal excision surgery from July 2010 to December 2018 were enrolled in this retrospective study. A total of 340 radiomic features were extracted from pretreatment contrast-enhanced CT images. The most relevant features to pCR were selected using the least absolute shrinkage and selection operator (LASSO) method and a radiomic signature was generated. Predictive models were built with radiomic features and clinico-pathological variables. Model performance was assessed with decision curve analysis and was validated in an independent cohort. Results: The pCR was achieved in 44 of the 216 consecutive patients (20.4%) in this study. The model with the best performance used both radiomics and clinical variables including radiomic signatures, distance to anal verge, lymphocyte-to-monocyte ratio, and carcinoembryonic antigen. This combined model discriminated between patients with and without pCR with an area under the curve of 0.926 and 0.872 in the training and the validation cohorts, respectively. The combined model also showed better performance than models built with radiomic or clinical variables alone. Conclusion: Our combined predictive model was robust in differentiating patients with and without response to nCRT.

Computed Tomography-Based Machine Learning Differentiates Adrenal Pheochromocytoma From Lipid-Poor Adenoma.

Objectives: To assess the accuracy of computed tomography (CT)-based machine learning models for differentiating subclinical pheochromocytoma (sPHEO) from lipid-poor adenoma (LPA) in patients with adrenal incidentalomas. Patients and Methods: The study included 188 tumors in the 183 patients with LPA and 92 tumors in 86 patients with sPHEO. Pre-enhanced CT imaging features of the tumors were evaluated. Machine learning prediction models and scoring systems for differentiating sPHEO from LPA were built using logistic regression (LR), support vector machine (SVM) and random forest (RF) approaches. Results: The LR model performed better than other models. The LR model (M1) including three CT features: CTpre value, shape, and necrosis/cystic changes had an area under the receiver operating characteristic curve (AUC) of 0.917 and an accuracy of 0.864. The LR model (M2) including three CT features: CTpre value, shape and homogeneity had an AUC of 0.888 and an accuracy of 0.832. The S2 scoring system (sensitivity: 0.859, specificity: 0.824) had comparable diagnostic value to S1 (sensitivity: 0.815; specificity: 0.910). Conclusions: Our results indicated the potential of using a non-invasive imaging method such as CT-based machine learning models and scoring systems for predicting histology of adrenal incidentalomas. This approach may assist the diagnosis and personalized care of patients with adrenal tumors.

CT imaging findings of renal epithelioid lipid-poor angiomyolipoma.

OBJECTIVES: To identify specific imaging and clinicopathological features of a rare potentially malignant epithelioid variant of renal lipid-poor angiomyolipoma (E-lpAML). METHODS: A total of 20 patients with E-lpAML and 43 patients with other lpAML were retrospectively included. Multiphase computed tomography (CT) imaging features and clinicopathological findings were recorded. Independent predictors for E-lpAML were identified using multivariate logistic regression and were used to construct a diagnostic score for differentiation of E-lpAML from other lpAML. RESULTS: The E-lpAML group consisted of 6 men and 14 women (age median ± SD: 39.45 ± 15.70, range: 16.0-68.0 years). E-lpAML tended to appear as hyperdense mass lesions located at the renal sinus (n = 8, 40%) or at the renal cortex (n = 12, 60%), with a "fast-in and slow-out" enhancement pattern (n = 20, 100%), cystic degeneration (n = 18, 90%), "eyeball" sign (n = 11, 55%), and tumor neo-vasculature (n = 15, 75%) on CT. Multivariate logistic regression analysis showed that the independent predictors for diagnosing E-lpAML were cystic degeneration on CT imaging and CT value of the tumor in corticomedullary phase of enhancement. A predictive model was built with the two predictors, achieving an area under the curve (AUC) of 93.5% (95% confidence interval (95%CI): 84.3-98.2%) with a sensitivity of 95.0% (95%CI: 75.1-99.9%) and a specificity of 83.72% (95%CI: 69.3-93.2%). CONCLUSION: We identified specific CT imaging features and predictors that could contribute to the correct diagnosis of E-lpAML. Our findings should be helpful for clinical management of E-lpAML which could potentially be malignant and may require nephron-sparing surgery while other lpAML tumors which are benign require no intervention. KEY POINTS: • It is important to differentiate renal epithelioid lipid-poor angiomyolipoma (E-lpAML) from other lpAML because of differences in clinical management. • E-lpAML tumors tend to be large hyperdense tumors in the renal sinus with cystic degeneration and "fast-in and slow-out" pattern of enhancement. • Our CT imaging-based predictive model was robust in its performance for predicting E-lpAML from other lpAML tumors.

Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer.

OBJECTIVES: Stratification of microsatellite instability (MSI) status in patients with colorectal cancer (CRC) improves clinical decision-making for cancer treatment. The present study aimed to develop a radiomics nomogram to predict the pre-treatment MSI status in patients with CRC. METHODS: A total of 762 patients with CRC confirmed by surgical pathology and MSI status determined with polymerase chain reaction (PCR) method were retrospectively recruited between January 2013 and May 2019. Radiomics features were extracted from routine pre-treatment abdominal pelvic computed tomography (CT) scans acquired as part of the patients' clinical care. A radiomics nomogram was constructed using multivariate logistic regression. The performance of the nomogram was evaluated using discrimination, calibration, and decision curves. RESULTS: The radiomics nomogram incorporating radiomics signatures, tumor location, patient age, high-density lipoprotein expression, and platelet counts showed good discrimination between patients with non-MSI-H and MSI-H, with an area under the curve (AUC) of 0.74 [95% CI, 0.68-0.80] in the training cohort and 0.77 [95% CI, 0.68-0.85] in the validation cohort. Favorable clinical application was observed using decision curve analysis. The addition of pathological characteristics to the nomogram failed to show incremental prognostic value. CONCLUSIONS: We developed a radiomics nomogram incorporating radiomics signatures and clinical indicators, which could potentially be used to facilitate the individualized prediction of MSI status in patients with CRC. KEY POINTS: • There is an unmet need to non-invasively determine MSI status prior to treatment. However, the traditional radiological evaluation of CT is limited for evaluating MSI status. • Our non-invasive CT imaging-based radiomics method could efficiently distinguish patients with high MSI disease from those with low MSI disease. • Our radiomics approach demonstrated promising diagnostic efficiency for MSI status, similar to the commonly used IHC method.

CT-Based Sarcopenic Nomogram for Predicting Progressive Disease in Advanced Non-Small-Cell Lung Cancer.

BACKGROUND: It is prudent to identify the risk for progressive disease (PD) in patients with non-small-cell lung cancer (NSCLC) who undergo platinum-based chemotherapy. The present study aimed to develop a CT imaging-based sarcopenic nomogram for predicting the risk of PD prior to chemotherapy treatment. METHODS: We retrospectively enrolled patients with NSCLC who underwent platinum-based chemotherapy. Imaging-based body composition parameters such as skeletal muscle index (SMI) for assessment of sarcopenia were obtained from pre-chemotherapy chest CT images at the level of the eleventh thoracic vertebral body (T11). Sarcopenic nomogram was constructed using multivariate logistic regression and performance of the nomogram was evaluated by discrimination, calibration curve, and decision curve. RESULTS: Sixty (14.7%) of the 408 patients in the study cohort developed PD during chemotherapy. The prediction nomogram for developing PD achieved a moderate efficiency with an area under the curve (AUC) of 0.75 (95% CI: 0.69-0.80) for the training cohort, and 0.76 (95%CI: 0.68-0.84) for the validation cohort, as well as a good performance of consistence (bootstrap for training cohort: 0.75 ± 0.02; validation cohort: 0.74 ± 0.06). Favorable clinical application was observed in the decision curve analysis. CONCLUSION: Our CT-based sarcopenic nomogram showed the potential for an individualized prediction of progression for patients with NSCLC receiving platinum-based chemotherapy.

Hepatic Artery Infusion of Floxuridine in Combination With Systemic Chemotherapy for Pancreatic Cancer Liver Metastasis: A Propensity Score-Matched Analysis in Two Centers.

AIM: To evaluate the efficacy of hepatic artery infusion (HAI) of floxuridine (FUDR) in combination with systemic chemotherapy in patients with pancreatic cancer liver metastases (PCLM). PATIENTS AND METHODS: We retrospectively collected clinical data of 347 patients with PCLM who underwent first-line chemotherapy at two Chinese centers between 2012 and 2019. Propensity score matching between patients with and without HAI was performed to compensate for differences in baseline characteristics. Objective response rate (ORR) and overall survival (OS) between groups were compared. HAI pump functionality was recorded. RESULTS: Data of 258 patients (62 patients with HAI and 196 patients without HAI) were used for matching. After 1:1 ratio matching, 62 patients per group were included. The intrahepatic ORR was 66.1% in the HAI group and 22.6% in the non-HAI group (P < 0.001), and the extrahepatic ORR was 25.0 versus 28.9% (P = 0.679). The median OS was significantly longer in HAI group (14.0 versus 10.8 months, P = 0.001). Multivariance COX regression showed HAI led to a decrease in hazard ratio for death by 61.8% (HR = 0.382; 95% CI: 0.252-0.578; P< 0.001). Subgroup analysis revealed that patients without EHM, with higher intrahepatic tumor burden and with synchronous liver metastasis benefited more from HAI. Dysfunction of HAI pump occurred in 5.7% of patients during the period of follow-up. CONCLUSIONS: In patients with PCLM, first-line treatment with HAI FUDR plus SCT resulted in higher intrahepatic response and better OS.

Comprehensive predictive factors for CalliSpheres® microspheres (CSM) drug-eluting bead-transarterial chemoembolization and conventional transarterial chemoembolization on treatment response and survival in hepatocellular carcinoma patients.

BACKGROUND: Transarterial chemoembolization (TACE) is widely applied in hepatocellular carcinoma (HCC) patients who are not suitable for surgical treatment. We aimed to investigate the treatment outcomes and comprehensive prognostic factors of CalliSpheres® microspheres (CSM) drug-eluting bead TACE (DEB-TACE) treatment and conventional TACE (cTACE) treatment in HCC patients. METHODS: Three hundred and thirty-five HCC patients received DEB-TACE or cTACE treatment were consecutively enrolled in multi-center, retrospective cohort study. Treatment response was conducted at M1, M3 or M6 after treatment. Progression free survival (PFS) and overall survival (OS) were recorded. Thirty-seven baseline factors including demographic characteristics, clinical features, biochemical indexes and previous treatment histories were selected. RESULTS: In total patients, history of drink and largest nodule size≥7cm independently predicted worse ORR, DEB-TACE predicted better OS, while largest nodule size≥7cm, increased Child-Pugh stage, ALB abnormal, ALP abnormal or AFP abnormal predicted worse survival. For DEB-TACE group, previous cTACE and ANC abnormal independently predicted worse ORR, and hepatic vein invasion, increased Child-Pugh stage or AFP abnormal independently predicted poor survival. For cTACE group, largest nodule size≥7cm independently predicted poor ORR, and multifocal disease as well as ALB abnormal predicted poor OS. CONCLUSIONS: History of drink, largest nodule size≥7cm, DEB-TACE, increased Child-Pugh stage, abnormal ALB, ALP or AFP are potential prognostic factors in total patients, previous cTACE and ANC abnormal, hepatic vein invasion, increased Child-Pugh stage or AFP abnormal are potential prognostic factors in DEB-TA group, and largest nodule size≥7cm, multifocal disease and ALB abnormal are potential prognostic factors in cTACE group.

Long Noncoding RNA TRIM52-AS1 Sponges miR-514a-5p to Facilitate Hepatocellular Carcinoma Progression Through Increasing MRPS18A.

Background: Hepatocellular carcinoma (HCC) is associated with high morbidity and mortality and has become the most frequently diagnosed liver cancer globally. Long noncoding RNAs have been widely studied because they exert essential functions in human diseases. Aim of the Study: The aim of the study is to explore the role and molecular regulatory mechanism of TRIM52-AS1 in HCC. Materials and Methods: Real-time quantitative polymerase chain reaction examined TRIM52-AS1, miR-514a-5p, and mitochondrial ribosomal protein S18a (MRPS18A) expression in HCC cells. Cell Counting Kit-8 (CCK-8), colony formation, flow cytometry, JC-1, transwell, and Western blot assays uncovered the function of TRIM52-AS1 in HCC. RNA immunoprecipitation (RIP), RNA pull down, and luciferase reporter assays validated the association among TRIM52-AS1, miR-514a-5p, and MRPS18A. Nuclear-cytoplasmic fractionation assay revealed the subcellular location of TRIM52-AS1 in HCC cells. Results: TRIM52-AS1 was revealed to be upregulated in HCC tissue samples according to GEPIA database. Consistent results were recognized in HCC cell lines. Subsequently, loss-of-function assays confirmed that TRIM52-AS1 ablation depressed cell proliferation, migration, invasion, and epithelial-to-mesenchymal transition process in vitro and inhibited tumor growth in vivo. Furthermore, the authors validated TRIM52-AS1 bound with miR-514a-5p in HCC. TRIM52-AS1 inversely regulated miR-514a-5p expression. Afterward, MRPS18A was identified to be a downstream target of miR-514a-5p. Ultimately, rescue assays manifested that MRPS18A upregulation could neutralize the attenuated effects resulting from TRIM52-AS1 deficiency. Conclusions: All in all, TRIM52-AS1 sponged miR-514a-5p to facilitate HCC progression through increasing MRPS18A expression. The findings highlight TRIM52-AS1 as a novel therapeutic target for HCC.

Comparison of chemoembolization with CalliSpheres® microspheres and conventional chemoembolization in the treatment of hepatocellular carcinoma: a multicenter retrospective study.

PURPOSE: This study aimed to compare the efficacy and safety between transarterial chemoembolization (TACE) with CalliSpheres® microspheres (CSM-TACE) and conventional TACE (cTACE) in patients with hepatocellular carcinoma (HCC). PATIENTS AND METHODS: Three hundred and thirty-five HCC patients receiving CSM-TACE or cTACE were consecutively enrolled in this multi-center, retrospective cohort study, and then divided into CSM-TACE group and cTACE group accordingly. Complete response (CR), objective response (ORR) and disease control response (DCR) was assessed according to mRECIST criteria at 1 month (M1), 3 months(M3) and 6 months(M6) after treatment. Progression-free survival (PFS) and overall survival (OS) were assessed. Liver function indexes and adverse events (AEs) were also evaluated. RESULTS: CR at M3 (P=0.020) and ORR at M1 (P<0.001), M3 (P<0.001) and M6 (P=0.017) after treatment were significantly higher in the CSM-TACE compared with cTACE group. DCRs, PFS (25.3 months vs 24.2 months, P=0.503) and OS (27.8 months vs 25.3 months, P=0.203) were similar between the two groups. CSM-TACE was independently correlated with higher ORR at M1 (P=0.002) and longer OS (P=0.023). Abnormal alkaline phosphatase (ALP) (P=0.049) was independently associated with lower ORR at M3, and history of alcohol intake (P=0.019) and largest nodule size ≥7 cm (P=0.015) independently correlated with lower ORR at M6 (P=0.015). Largest nodule size ≥7 cm (P=0.029) and abnormal albumin (ALB) (P=0.046) were independently associated with shorter PFS. Child-Pugh stage B/C (P=0.023), abnormal ALB (P=0.001), ALP (P=0.008) and alpha-fetoprotein (AFP) (P=0.005) were independently associated with shorter OS. Most liver function indexes and AEs were similar between the two groups (P>0.05), except that ALP (P=0.005), total bilirubin (P=0.031), pain during procedure (P=0.034) and occurrence of fever post(treatment (P=0.017) were significantly elevated in the CSM-TACE compared with cTACE group. CONCLUSION: CSM-TACE presents with a better treatment response and similar survival profile compared with cTACE in HCC patients.

Effects of replacing fat with Perilla seed on the characteristics of meatballs.

A portion of the fat used in the preparation of meatballs was replaced with different amounts of Perilla seeds rich in unsaturated fatty acids. Five treatments with mass percentages of 0%, 5%, 10%, 15%, and 20%, including a set of blank treatment and four groups treated with different Perilla seed contents, were performed. The effects of Perilla seed content on the proximate composition, pH, color, cooking yield, emulsion stability, texture, fatty acid composition, and sensory properties of meatballs were analyzed. The meatballs with Perilla seeds showed remarkably better properties than those without seeds. The addition of 10% (w/w) Perilla seeds significantly (P < 0.05) improved the texture, composition, and content of polyunsaturated fatty acids (PUFAs), dietary fiber, and protein in meatballs. Moreover, the characteristic flavor components were rich and varied, which enhanced the taste, flavor, and satiety of the meatballs. This work provided theoretical and data support for the preparation of Perilla meatballs rich in PUFAs and dietary fiber.

Comparison of liver function and safety in hepatocellular cancer patients treated with DEB-TACE and cTACE: a multi-center, retrospective cohort study.

BACKGROUND: This study aimed to compare the live function change and adverse events (AEs) between drug-eluting beads (DEB) transarterial chemoembolization (TACE) with CalliSpheres® microspheres (CSM) and conventional TACE (cTACE) in treating hepatocellular carcinoma (HCC) patients. METHODS: Three hundred and thirty-five HCC patients underwent DEB-TACE with CSM (n=171, DEB-TACE group) or cTACE (n=164, cTACE group) were consecutively enrolled in this multi-center, retrospective cohort study. Liver function indexes were reviewed before treatment (W0), at 1 week (W1) and 1 month (M1) post treatment. Moreover, AEs during operation and hospitalization were retrieved as well. RESULTS: The changes of albumin (ALB) [-3.55 (-6.25 to -0.43) vs. -2.20 (-4.63-0.00), P=0.043] and total protein (TP) [-4.62 (-10.18-0.43) vs. -2.50 (-7.08-1.08), P=0.013] from W1 to W0 were lower in DEB-TACE group compared to cTACE group, while no difference was observed referring to the change of alanine aminotransferase (ALT) (P=0.494), aspartate aminotransferase (AST) (P=0.747), alkaline phosphatase (ALP) (P=0.895), total bilirubin (TBIL) (P=0.059), total bile acid (TBA) (P=0.491) from W1 to W0. And the changes of these seven indexes from M1 to W0 were all similar between DEB-TACE group and cTACE group (all P>0.05). Besides, the occurrence of pain during treatment (19.3% vs. 11.0%, P=0.034) and the occurrence of fever during hospitalization (18.1% vs. 9.1%, P=0.017) were both increased in DEB-TACE group compared to cTACE group. CONCLUSIONS: DEB-TACE with CSM is non-inferior to cTACE in terms of liver function change, while DEB-TACE with CSM leads to higher incidences of pain and fever.