Robotic versus laparoscopic pelvic lateral lymph node dissection in locally advanced rectal cancer: a systemic review and meta-analysis.

BACKGROUND: There are few available studies that compare the feasibility, efficacy, and safety of robotic pelvic lateral lymph node dissection compared to laparoscopic pelvic lateral lymph node dissection (LPLND) in advanced rectal cancer. This meta-analysis aims to compare perioperative outcomes between robotic and LPLND. METHODS: We performed a systemic literature review of PubMed, Embase, and Web of Science databases. Perioperative parameters were extracted and pooled for analysis. This meta-analysis provided an analysis of heterogeneity and prediction intervals. RESULTS: Five studies were included: 567 patients divided between 266 robotic and 301 LPLND. Overall operation time was longer in the robotic group than laparoscopic group (difference in means = 67.11, 95% CI [30.80, 103.42], p < 0.001) but the difference in the pelvic lateral lymph dissection time was not statistically significant (difference in means = - 1.212, 95% CI [ - 11.594, 9.171], p = 0.819). There were fewer overall complications in the robotic than in the laparoscopic group (OR = 1.589, 95% CI [1.009, 2.503], p = 0.046), especially with respect to urinary retention (OR = 2.23, 95% CI [1.277, 3.894], p = 0.005). More pelvic lateral lymph nodes were harvested by robotic surgery than by laparoscopy (differences in means = - 1.992, 95% CI [ - 2.421, 1.563], p < 0.001). CONCLUSIONS: In this meta-analysis, robotic pelvic lateral lymph node dissection was associated with more pelvic lateral lymph nodes harvested and lower overall complications, especially urinary retention when compared to LPLND. Further studies are needed to reinforce these findings.

Results of streamlining TAVR procedure towards a minimalist approach: a single center experience in Taiwan.

Trans-femoral transcatheter aortic valve replacement (TF-TAVR) performed under conscious sedation (LACS) is not yet become routine practice in Taiwan. We aimed to compared the results between patients received general anesthesia (GA) versus LACS. Our cohort was divided into 3 groups: initial 48 patients received TF-TAVR under routine GA (GA group), subsequent 50 patients under routine LACS (LACS group 1), and recent 125 patients under LACS (LACS group 2). The baseline, procedural characteristics and all outcomes were prospectively collected and retrospectively compared. From Sep 2010 to July 2019, a total of 223 patients were included. The procedure time (157.6 ± 39.4 min vs 131.6 ± 30.3 vs 95.2 ± 40.0, < 0.0001), contrast medium consumption (245.6 ± 92.6 ml vs 207.8 ± 77.9 vs 175.1 ± 64.6, < 0.0001), length of intensive care unit (2 [1-5] days vs 2 [1-3] vs 1 [1-1], P = 0.0001) and hospital stay (9 [7-13] days vs 8 [6-11] vs 6 [5-9], P = 0.0001) decreased significantly with LACS, combined with a trend of less hospital acquired pneumonia (12.5% vs 6.0% vs 5.6%, P = 0.427). 1-year survival rate were also different among 3 groups (83.3% vs 90.0% vs 93.6%, P = 0.053). In our single center experience, a "minimalist" approach of TF-TAVR procedure resulted in less medical resources usage, along with more favorable clinical outcomes.

Improving the tumor selectivity of T cell engagers by logic-gated dual tumor-targeting.

Targeting single tumor antigens makes it difficult to provide sufficient tumor selectivity for T cell engagers (TCEs), leading to undesirable toxicity and even treatment failure, which is particularly serious in solid tumors. Here, we designed novel trispecific TCEs (TriTCEs) to improve the tumor selectivity of TCEs by logic-gated dual tumor-targeting. TriTCE can effectively redirect and activate T cells to kill tumor cells (∼18 pM EC50) by inducing the aggregation of dual tumor antigens, which was ∼70- or 750- fold more effective than the single tumor-targeted isotype controls, respectively. Further in vivo experiments indicated that TriTCE has the ability to accumulate in tumor tissue and can induce circulating T cells to infiltrate into tumor sites. Hence, TriTCE showed a stronger tumor growth inhibition ability and significantly prolonged the survival time of the mice. Finally, we revealed that this concept of logic-gated dual tumor-targeted TriTCE can be applied to target different tumor antigens. Cumulatively, we reported novel dual tumor-targeted TriTCEs that can mediate a robust T cell response by simultaneous recognition of dual tumor antigens at the same cell surface. TriTCEs allow better selective T cell activity on tumor cells, resulting in safer TCE treatment.

Pelvic Neoadjuvant Radiotherapy for Stage M1a Rectal Adenocarcinoma Patients Treated With Systemic Therapy Followed by Proctectomy and Metastasectomy: A Nationwide Retrospective Cohort Study.

BACKGROUND/AIM: The effect of pelvic neoadjuvant radiotherapy (nRT) for stage M1a rectal adenocarcinoma patients treated with systemic therapy followed by proctectomy and metastasectomy was scarcely investigated in the literatures. PATIENTS AND METHODS: The eligible rectal cancer patients diagnosed between 2011-2019 were identified via the Taiwan Cancer Registry. In the primary analysis, we used propensity score weighting to balance observable potential confounders and compared the hazard ratio (HR) of death for the nRT group vs. without RT group. We also compared the incidence of rectal cancer mortality (IRCM) and performed various supplementary analyses. RESULTS: Our primary analyses included 145 patients. nRT was associated with improved OS (HR=0.51, p=0.01). The numerical trends remained similar for IRCM and in supplementary analyses. CONCLUSION: nRT was associated with improved OS in our study population.

CT-Based Radiomic Analysis for Preoperative Prediction of Tumor Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodule.

It remains a challenge to preoperatively forecast whether lung pure ground-glass nodules (pGGNs) have invasive components. We aimed to construct a radiomic model using tumor characteristics to predict the histologic subtype associated with pGGNs. We retrospectively reviewed clinicopathologic features of pGGNs resected in 338 patients with lung adenocarcinoma between 2011-2016 at a single institution. A radiomic prediction model based on forward sequential selection and logistic regression was constructed to differentiate adenocarcinoma in situ (AIS)/minimally invasive adenocarcinoma (MIA) from invasive adenocarcinoma. The study cohort included 133 (39.4%), 128 (37.9%), and 77 (22.8%) patients with AIS, MIA, and invasive adenocarcinoma (acinar 55.8%, lepidic 33.8%, papillary 10.4%), respectively. The majority (83.7%) underwent sublobar resection. There were no nodal metastases or tumor recurrence during a mean follow-up period of 78 months. Three radiomic features-cluster shade, homogeneity, and run-length variance-were identified as predictors of histologic subtype and were selected to construct a prediction model to classify the AIS/MIA and invasive adenocarcinoma groups. The model achieved accuracy, sensitivity, specificity, and AUC of 70.6%, 75.0%, 70.0%, and 0.7676, respectively. Applying the developed radiomic feature model to predict the histologic subtypes of pGGNs observed on CT scans can help clinically in the treatment selection process.

Laparoscopic versus open emergent colectomy for ischemic colitis: a propensity score-matched comparison.

INTRODUCTION: Laparoscopic colectomy is rarely performed for ischemic colitis. The aim of this propensity score-matched study was to compare preoperative characteristics, intraoperative details and short-term outcomes for emergent laparoscopic colectomy versus the traditional open approach for patients with ischemic colitis. METHODS: Retrospective review of 96 patients who underwent emergent colectomy for ischemic colitis between January 2011 and December 2020 (39 via laparoscopy, 57 via laparotomy) was performed. We compared short-term outcomes after using a one-to-one ratio and nearest-neighbor propensity score matching to obtain similar preoperative and intraoperative parameters in each group. RESULTS: Patients in the open group experienced more surgical site complications (52.6% vs. 23.0%, p = 0.004), more intra-abdominal abscesses (47.3% vs. 17.9%, p = 0.003), longer need for ventilator support (20 days vs. 0 days, p < 0.001), more major complications (77.2% vs. 43.5%, p = 0.001), higher mortality (49.1% vs. 20.5%, p = 0.004), and longer hospital stay (32 days vs. 19 days, p = 0.001). After propensity score matching (31 patients in each group), patients undergoing open (vs. laparoscopy) had more surgical site complications (45.1% vs. 19.4%, p = 0.030) and required longer ventilator support (14 vs. 3 days, p = 0.039). After multivariate analysis, Charlson Comorbidity Index (p = 0.024), APACHE II score (p = 0.001), and Favier's classification (p = 0.023) were independent predictors of mortality. CONCLUSIONS: Laparoscopic emergent colectomy for ischemic colitis is feasible and is associated with fewer surgical site complications and better respiratory function, compared to the open approach.

Correction: Wang et al. Automated 3D Segmentation of the Aorta and Pulmonary Artery on Non-Contrast-Enhanced Chest Computed Tomography Images in Lung Cancer Patients. Diagnostics 2022, 12, 967.

Errors occurred in the standard deviation of the Dice similarity coefficient (DSC) described in the original publication [...].

Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.

BACKGROUND: High-grade adenocarcinoma subtypes (micropapillary and solid) treated with sublobar resection have an unfavorable prognosis compared with those treated with lobectomy. We investigated the potential of incorporating solid attenuation component masks with deep learning in the prediction of high-grade components to optimize surgical strategy preoperatively. METHODS: A total of 502 patients with pathologically confirmed high-grade adenocarcinomas were retrospectively enrolled between 2016 and 2020. The SACs attention DL model was developed to apply solid-attenuation-component-like subregion masks (tumor area ≥ - 190 HU) to guide the DL model for predicting high-grade subtypes. The SACA-DL was assessed using 5-fold cross-validation and external validation in the training and testing sets, respectively. The performance, which was evaluated using the area under the curve (AUC), was compared between SACA-DL and the DL model without SACs attention (DLwoSACs), the prior radiomics model, or the model based on the consolidation/tumor (C/T) diameter ratio. RESULTS: We classified 313 and 189 patients into training and testing cohorts, respectively. The SACA-DL achieved an AUC of 0.91 for the cross-validation, which was significantly superior to those of the DLwoSACs (AUC = 0.88; P = 0.02), prior radiomics model (AUC = 0.85; P = 0.004), and C/T ratio (AUC = 0.84; P = 0.002). An AUC of 0.93 was achieved for external validation in the SACA-DL and was significantly better than those of the DLwoSACs (AUC = 0.89; P = 0.04), prior radiomics model (AUC = 0.85; P < 0.001), and C/T ratio (AUC = 0.85; P < 0.001). CONCLUSIONS: The combination of solid-attenuation-component-like subregion masks with the DL model is a promising approach for the preoperative prediction of high-grade adenocarcinoma subtypes.

Peritoneal contamination and associated post-operative infectious complications after natural orifice specimen extraction for laparoscopic colorectal surgery.

BACKGROUND: Peritoneal contamination is a major concern during natural orifice specimen extraction after laparoscopic colorectal resection (LCR-NOSE), but few data are available. We explored the prevalence, risk factors, and association between clinical outcomes and infectious complications in patients with positive peritoneal drain fluid culture (PDFC) after LCR-NOSE. METHOD: We retrospectively analyzed patient records in our prospectively maintained registry database who underwent LCR-NOSE between 2011and 2020. Peritoneal drain fluid was collected within 12 h post-operative and cultures for microorganisms were obtained. The relationships between PDFC, clinical variables, and infectious complications were examined by univariate and multivariable analysis. RESULTS: Of 241 consecutive patients who underwent LCR-NOSE and drainage fluid culture, 59 (24.5%) had PDFC. Anterior resection (Odds ratio OR 2.40) was identified as an independent predictor for PDFC. Twenty-eight patients (11.6%) developed infectious complications. Multivariable analysis identified low anterior resection (OR 2.74), prolonged operative time (OR 3.20), and PDFC (OR 5.14) as independent risk factors. Pseudomonas aeruginosa was the most frequently found microorganism (OR 5.19) responsible for infectious complications. CONCLUSIONS: Microorganisms are commonly present in the peritoneum after LCR-NOSE and play a critical role in the development of infectious complications and related morbidity. Specific caution is warranted in patients contaminated with specific types of microorganisms.

Automated 3D Segmentation of the Aorta and Pulmonary Artery on Non-Contrast-Enhanced Chest Computed Tomography Images in Lung Cancer Patients.

Pulmonary hypertension should be preoperatively evaluated for optimal surgical planning to reduce surgical risk in lung cancer patients. Preoperative measurement of vascular diameter in computed tomography (CT) images is a noninvasive prediction method for pulmonary hypertension. However, the current estimation method, 2D manual arterial diameter measurement, may yield inaccurate results owing to low tissue contrast in non-contrast-enhanced CT (NECT). Furthermore, it provides an incomplete evaluation by measuring only the diameter of the arteries rather than the volume. To provide a more complete and accurate estimation, this study proposed a novel two-stage deep learning (DL) model for 3D aortic and pulmonary artery segmentation in NECT. In the first stage, a DL model was constructed to enhance the contrast of NECT; in the second stage, two DL models then applied the enhanced images for aorta and pulmonary artery segmentation. Overall, 179 patients were divided into contrast enhancement model (n = 59), segmentation model (n = 120), and testing (n = 20) groups. The performance of the proposed model was evaluated using Dice similarity coefficient (DSC). The proposed model could achieve 0.97 ± 0.66 and 0.93 ± 0.16 DSC for aortic and pulmonary artery segmentation, respectively. The proposed model may provide 3D diameter information of the arteries before surgery, facilitating the estimation of pulmonary hypertension and supporting preoperative surgical method selection based on the predicted surgical risks.

Laparoscopic Reintervention for Intraperitoneal Leaks After Colonic Surgery: Do We Need a Routine Stoma?

INTRODUCTION: No universal consensus exists on the management of intraperitoneal anastomosis leakage after colonic surgery. The aim of the study was to evaluate the outcomes of laparoscopic reintervention without stoma creation for intraperitoneal leaks after colonic surgery. MATERIAL AND METHODS: Single tertiary center study conducted from January 2010 to December 2020. 54 patients with intraperitoneal leakage were divided into 2 groups according to whether they received a stoma (n = 37) or not (n = 17) during laparoscopic reintervention. Short term outcome was analyzed. RESULTS: Patients in the no stoma group had lower American Society of Anesthesiologists (ASA) score (P = .009), lower Acute Physiology And Chronic Health Evaluation II (APACHE II) score (5 vs. 10; P < .001) compared with the stoma group. Intensive care unit admission (43.2% vs. 5.8%; P = .006) and major complications (35.1% vs. 5.8%; P = .015) occurred more in the stoma group compared to the no stoma group. After multivariate logistic regression analysis, initial surgical procedure (P = .001) and APACHE II score (P = .039) were significant predictors of no stoma. The APACHE II score(P = .035) was an independent predictor of major complications. Finally, Receiver Operating Characteristic curve analysis showed that the cutoff value of APACHE II score for no stoma was 7.5. CONCLUSIONS: In our study, APACHE II score was an independent predictor of stoma formation and the cutoff value of APACHE II score for no stoma was 7.5. Our results need to be confirmed by larger and randomized studies. In particular, a specific APACHE II threshold to omit a stoma in this setting remains to be determined.

Laparoscopic redo anastomosis for management of intraperitoneal anastomotic leakage after colonic surgery.

BACKGROUND: There is still no consensus on the management of intraperitoneal anastomotic leakage after colonic surgery. Among of various treatment strategies, laparoscopic redo anastomosis for intraperitoneal leakage has rarely been reported in the literature and is condemned by some. The aim of this study is to demonstrate the feasibility and safety of laparoscopic redo anastomosis for intraperitoneal anastomotic leakage. METHODS: Retrospective chart review of laparoscopic redo anastomosis for intraperitoneal anastomotic leakage after colonic surgery from January 2013 to May 2020. An accompanying video demonstrates the technique. RESULTS: Fifteen consecutive patients underwent laparoscopic redo anastomosis for management of leakage after colonic surgery; two patients required conversion to open repair. A protective stoma was created in three patients during the second operation. There was no re-leakage nor mortality in this series. CONCLUSIONS: Laparoscopic redo anastomosis was feasible and safe for the management of intraperitoneal anastomotic leakage after colonic surgery. Considering the advantages of re-do laparoscopy, this procedure should be part of every surgeon's armamentarium to deal with anastomotic leakage and represents a logical alternative to the "Diversion and Drainage" technique.

A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation.

OBJECTIVES: To propose and evaluate a set of radiomic features, called morphological dynamics features, for pulmonary nodule detection, which were rooted in the dynamic patterns of morphological variation and needless precise lesion segmentation. MATERIALS AND METHODS: Two datasets were involved, namely, university hospital (UH) and LIDC datasets, comprising 72 CT scans (360 nodules) and 888 CT scans (2230 nodules), respectively. Each nodule was annotated by multiple radiologists. Denoted the category of nodules identified by at least k radiologists as ALk. A nodule detection algorithm, called CAD-MD algorithm, was proposed based on the morphological dynamics radiomic features, characterizing a lesion by ten sets of the same features with different values extracted from ten different thresholding results. Each nodule candidate was classified by a two-level classifier, including ten decision trees and a random forest, respectively. The CAD-MD algorithm was compared with a deep learning approach, the N-Net, using the UH dataset. RESULTS: On the AL1 and AL2 of the UH dataset, the AUC of the AFROC curves were 0.777 and 0.851 for the CAD-MD algorithm and 0.478 and 0.472 for the N-Net, respectively. The CAD-MD algorithm achieved the sensitivities of 84.4% and 91.4% with 2.98 and 3.69 FPs/scan and the N-Net 74.4% and 80.7% with 3.90 and 4.49 FPs/scan, respectively. On the LIDC dataset, the CAD-MD algorithm attained the sensitivities of 87.6%, 89.2%, 92.2%, and 95.0% with 4 FPs/scan for AL1-AL4, respectively. CONCLUSION: The morphological dynamics radiomic features might serve as an effective set of radiomic features for lung nodule detection. KEY POINTS: • Texture features varied with such CT system settings as reconstruction kernels of CT images, CT scanner models, and parameter settings, and so on. • Shape and first-order statistics were shown to be the most robust features against variation in CT imaging parameters. • The morphological dynamics radiomic features, which mainly characterized the dynamic patterns of morphological variation, were shown to be effective for lung nodule detection.

Transanal endoluminal repair for anastomotic leakage after low anterior resection.

BACKGROUND: There is still no consensus on the management of colorectal anastomotic leakage after low anterior resection. The goal was to evaluate the outcomes of patients who underwent transanal endoluminal repair + laparoscopic drainage ± stoma vs. drainage only ± stoma. METHODS: Retrospective chart review of patients sustaining anastomotic leakage after laparoscopic low anterior resection between January 2013 and September 2020 who required laparoscopic reoperation. RESULTS: Forty-nine patients were included, 22 patients underwent combined laparoscopy and transanal endoluminal repair and 27 patients had drainage with a stoma (n = 16) or drainage alone (n = 11), without direct anastomotic repair. The overall morbidity rate was 30.6% and the mortality rate was 2%. Combined laparoscopic lavage/drainage and transanal endoluminal repair of anastomotic leakage was associated with a lower complication rate (13.6% vs. 44.4%, p = 0.03) and fewer intraabdominal infections (4.5% vs. 29.6%, p = 0.03) compared with no repair. CONCLUSIONS: Combined laparoscopic lavage/drainage and transanal endoluminal repair is effective in the management of colorectal anastomosis leakage and was associated with lower morbidity-in particular intraabdominal infection-compared with no repair. However, our results need to be confirmed in larger, and ideally randomized, studies.

Natural orifice versus conventional mini-laparotomy for specimen extraction after reduced-port laparoscopic surgery for colorectal cancer: propensity score-matched comparative study.

BACKGROUND: Although reduced port laparoscopic surgery (RPLS), defined as laparoscopic surgery performed with the minimum possible number of ports and/or small-sized ports, is less invasive than conventional laparoscopic surgery by reducing the number of surgical wounds, an extension of the incision is still needed for specimen extraction, which can undermine the merits of RPLS. OBJECTIVE: To determine the impact of natural orifice specimen extraction (NOSE) in patients undergoing RPLS for colorectal cancer. The endpoints were perioperative outcome and oncologic safety at 3 years. SETTING: Single-center experience (2013-2019). PATIENTS: We retrospectively analyzed our prospectively collected patient records (American Joint Committee on Cancer (AJCC) stage I-III sigmoid or upper rectal cancer (tumor diameter ≤ 5 cm) who underwent curative anterior resection via RPLS. We excluded patients who did not undergo intestinal anastomosis. INTERVENTIONS: Perioperative and oncologic outcomes were compared between patients undergoing natural orifice (RPLS-NOSE) or conventional (mini-laparotomy) specimen extraction (RPLS-CSE). Patients were matched by propensity scores 1:1 for tumor diameter, AJCC stage, American Society of Anesthesiologists score and tumor location. RESULTS: Of 119 eligible patients, 104 were matched (52 RPLS-NOSE; 52 RPLS-CSE) by propensity scores. Compared with RPLS-CSE, RPLS-NOSE was associated with longer operative time (223.9 vs. 188.7 min; p = 0.003), decreased use of analgesics (morphine dose 33.9 vs. 43.4 mg; p = 0.011) and duration of hospital stay (4.2 vs. 5.1 days; p = 0.001). No statistically significant difference was found in morbidity or wound-related complication rates between the two groups. After a median follow-up of 34.3 months, no local recurrence was observed in RPLS-NOSE. The 3-year disease-free survival did not differ statistically significantly between groups (90.9 vs. 90.5%; p = 0.610). CONCLUSION: NOSE enhances the advantages of RPLS by avoiding the need for abdominal wall specimen extraction in patients with tumor diameter ≤ 5 cm. Surgical and oncologic safety are comparable to RPLS with CSE.

A radiomics model can distinguish solitary pulmonary capillary haemangioma from lung adenocarcinoma.

OBJECTIVES: Solitary pulmonary capillary haemangioma (SPCH) is a benign lung tumour that presents as ground-glass nodules on computed tomography (CT) images and mimics lepidic-predominant adenocarcinoma. This study aimed to establish a discriminant model using a radiomic feature analysis to distinguish SPCH from lepidic-predominant adenocarcinoma. METHODS: In the adenocarcinoma group, all tumours were of the lepidic-predominant subtype with high purity (>70%). A classification model was proposed based on a two-level decision tree and 26 radiomic features extracted from each segmented lesion. For comparison, a baseline model was built with the same 26 features using a support vector machine as the classifier. Both models were assessed by the leave-one-out cross-validation method. RESULTS: This study included 13 and 49 patients who underwent complete resection for SPCH and adenocarcinoma, respectively. Two sets of features were identified for discrimination between the 2 different histology types. The first set included 2 principal components corresponding to the 2 largest eigenvalues for the root node of the two-level decision tree. The second set comprised 4 selected radiomic features. The area under the receiver operating characteristic curve, accuracy, sensitivity, specificity were 0.954, 91.9%, 92.3% and 91.8% in the proposed classification model, and were 0.805, 85.5%, 61.5% and 91.8% in the baseline model, respectively. The proposed classification model significantly outperformed the baseline model (P < 0.05). CONCLUSIONS: The proposed model could differentiate the 2 different histology types on CT images, and this may help surgeons to preoperatively discriminate SPCH from adenocarcinoma.

Radiomic Values from High-Grade Subtypes to Predict Spread Through Air Spaces in Lung Adenocarcinoma.

BACKGROUND: We aimed to establish a radiomic prediction model for tumor spread through air spaces (STAS) in lung adenocarcinoma using radiomic values from high-grade subtypes (solid and micropapillary). METHODS: We retrospectively reviewed 327 patients with lung adenocarcinoma from 2 institutions (cohort 1: 227 patients; cohort 2: 100 patients) between March 2017 and March 2019. STAS was identified in 113 (34.6%) patients. A high-grade likelihood prediction model was constructed based on a historical cohort of 82 patients with "near-pure" pathologic subtype. The STAS prediction model based on the patch-wise mechanism identified the high-grade likelihood area for each voxel within the internal border of the tumor. STAS presence was indirectly predicted by a volume percentage threshold of the high-grade likelihood area. Performance was evaluated by receiver operating curve analysis with 10-repetition, 3-fold cross-validation in cohort 1, and was individually tested in cohort 2. RESULTS: Overall, 227 patients (STAS-positive: 77 [33.9%]) were enrolled for cross-validation (cohort 1) while 100 (STAS-positive: 36 [36.0%]) underwent individual testing (cohort 2). The gray level cooccurrence matrix (variance) and histogram (75th percentile) features were selected to construct the high-grade likelihood prediction model, which was used as the STAS prediction model. The proposed model achieved good performance in cohort 1 with an area under the curve, sensitivity, and specificity, of 81.44%, 86.75%, and 62.60%, respectively, and correspondingly, in cohort 2, they were 83.16%, 83.33%, and 63.90%, respectively. CONCLUSIONS: The proposed computed tomography-based radiomic prediction model could help guide preoperative prediction of STAS in early-stage lung adenocarcinoma and relevant surgeries.

Laparoscopic total pelvic peritonectomy for colorectal cancer pelvic carcinomatosis: a retrospective case series and photographic/videographic step-by-step guide.

BACKGROUND: Cytoreductive surgery (CRS) for colorectal cancer peritoneal carcinomatosis has been shown to prolong survival with acceptable morbidity rates. Total pelvic peritonectomy (TPP), or complete removal of all pelvic peritoneum, constitutes an important and technically challenging component of CRS. Here we report our experience and describe our technique of laparoscopic total pelvic peritonectomy (LTPP), using a photographic/videographic step-by-step guide. METHODS: All patients who underwent LTPP for pelvic carcinomatosis from a colorectal origin were included in the study. Only patients with peritoneal cancer index (PCI) score of ≤ 10 were selected for CRS with LTPP. Patients who had extra-abdominopelvic cavity metastases were excluded. The final decision to proceed with CRS was made following laparoscopic assessment. RESULTS: From January 2017 to December 2020, 15 consecutive patients underwent LTPP for colorectal cancer pelvic carcinomatosis. Median patient age and PCI score was 53 years (range 33-78) and 8 (range 3-10), respectively. Complete cytoreduction was achieved in all patients. Thirteen patients (87%) underwent concomitant hyperthermic intraperitoneal chemotherapy (HIPEC). The median operative duration was 748 min (interquartile range [IQR] 681-850). Median intra-operative blood loss and length of hospital stay was 100 ml (IQR 50-300) and 10 days (IQR 8-12), respectively. Five patients (33%) experienced 30-day post-operative morbidity, with one (6.7%) experiencing a higher grade (Clavien-Dindo IIIa) complication. Median follow-up duration was 13 months (IQR 3-19), during which four (27%) had systemic recurrence and one (6.7%) died after 15 months following peritoneal and systemic recurrences. CONCLUSION: LTPP is a feasible option for low-volume pelvic carcinomatosis from colorectal cancer, offering the benefits of a minimally invasive approach. Strict patient selection is essential, and the procedure should be converted if the PCI score cannot be assessed or complete cytoreduction cannot be achieved. Proficiency at laparoscopic pelvic surgery is mandatory for performing LTPP.

Noninferiority clinical trial comparing the bowel cleansing efficacy of sodium phosphate tablets (Quiklean®) with a polyethylene glycol/bisacodyl kit.

BACKGROUND: Efficient bowel cleansing is essential for a successful colonoscopy, but the ideal cleansing agent, volume, and pharmaceutical dosage form have yet to be determined. Small-volume cleansers enhance patient compliance. AIM: To compare the bowel cleansing efficacy of 32-tablet sodium phosphate (Quiklean®) with 2-L polyethylene glycol (PEG)/bisacodyl (Klean-Prep/ Dulcolax®) under identical dietary recommendations. METHODS: This multicenter, randomized, parallel-group, noninferiority clinical trial enrolled 472 outpatients, randomized 456 subjects, and scheduled 442 subjects to undergo colonoscopy (Quiklean® = 222 and Klean-Prep/Dulcolax® = 220). After bowel preparation, a colonoscopist performed the colonoscopy with video recorded for rating. The primary efficacy endpoint was the bowel cleansing quality using the Aronchick Scale. The secondary endpoints were the bowel cleansing efficacy of three colon segments, tolerability and acceptability, safety using the Ottawa bowel preparation scale, questionnaires by subjects, and monitoring of adverse events. RESULTS: Success rates (Excellent + Good) of the bowel cleansing quality by Aronchick Scale were 98.6% (n = 205) and 97.6% (n = 204) in the Quiklean® and Klean-Prep/Dulcolax® groups, respectively. Quiklean® demonstrated noninferiority over Klean-Prep/Dulcolax® in colon cleansing efficacy. Quicken showed better tolerability and acceptability in the overall experience (was rated as excellent; 24.0% vs 17.2%; P = 0.0016) and the taste of the study preparation (was rated as excellent, 23.1% vs 13.4%; P < 0.0001) than Klean-Prep/Dulcolax®. Safety profiles did not differ between the two groups. Our data indicate that Quiklean® is an adequate, well-tolerated bowel cleansing preparation compared with the standard comparator Klean-Prep/Dulcolax®. CONCLUSION: Quiklean® is sodium phosphate tablets available on Taiwan's market for bowel preparation; it potentially offers patients an alternative to standard large-volume bowel preparation regimens and may, therefore, increase positive attitudes toward colonoscopies and participation rates.