Defining the Role of Social Vulnerability in Treatment and Survival in Localized Colon Cancer: A Retrospective Cohort Study.

OBJECTIVE: To determine whether variations in Social Vulnerability Index (SVI) are associated with disparities in colon cancer surgery and mortality. SUMMARY BACKGROUND DATA: Colon cancer mortality is influenced by health care access, which is affected by individual and community-level factors. Prior studies have not used the SVI to compare surgical access and survival in localized colon cancer patients. Further, it is unclear if those above 65 years are more vulnerable to variations in SVI. METHODS: We queried the Texas and California Cancer Registries from 2004-2017 to identify patients with localized colonic adenocarcinoma and categorized patients into <65 and ≥65 years. Our outcomes were survival and access to surgical intervention. The independent variable was census tract social vulnerability index, with higher scores indicating more social vulnerability. We used multivariable logistic regression and Cox proportional hazards for analysis. RESULTS: We included 73,923 patients with a mean age of 68.6 years (SD 13.0), mean SVI of 47.2 (SD 27.6), and 51.1% male. After adjustment, increasing SVI was associated with reduced odds of undergoing surgery (OR 0.996; 95% CI 0.995-0.997; P < 0.0001 and increased mortality (HR 1.002; 95% CI 1.001-1.002; P < 0.0001). Patients < 65 years were more sensitive to variation in SVI. CONCLUSIONS: Increased social vulnerability was associated with reduced odds of receiving surgery for early-stage colon cancer as well as increased mortality. These findings amplify the need for policy changes at the local, state, and federal level to address community-level vulnerability to improve access to surgical care and reduce mortality.

Using OR Black Box Technology to Determine Quality Improvement Outcomes for In-situ Timeout and Debrief Simulation.

OBJECTIVE: The purpose of this study was to determine quality improvement outcomes following the pilot implementation of an in-situ simulation designed to enhance surgical safety checklist performance. BACKGROUND: OR Black Box (ORBB) technology allows near real-time assessment for surgical safety checklist performance. Before our study, timeout quality was 73.3%, compliance was 99.9%, and engagement was 89.7% (n=1993 cases); Debrief Quality was 76.0%, compliance was 66.9%, and engagement was 66.7% (n=1842 cases). METHODS: This IRB-approved study used prospective convergent multi-methods. During 2 months, a 15-minute in-situ simulation, incorporating rapid cycle deliberate practice, was implemented for OR teams. ORBB analytics generated Timeout and Debrief scores for actual operations performed by surgeons who participated in simulation (Sim-group) versus those who did not (No-sim group) over 6 months, including 2 months pre-intervention, during-intervention, and post-intervention. Inductive content analysis was performed based on simulation discussions to determine team member perspectives. RESULTS: Thirty simulations with 163 interprofessional participants were conducted. ORBB data from 1570 cases were analyzed. Scores were significantly better for the Sim-group compared with the No-sim group for debrief quality (84% vs. 79% P<0.001, during-intervention), compliance (73% vs. 66%, P<0.001, post-intervention), and engagement (80% vs. 73%, P=0.012, during-intervention). There were no between-group differences for Timeout scores. Thematic analysis identified 2 primary categories: "culture of safety" and "policy." CONCLUSIONS: This simulation-based QI intervention created a psychologically safe training environment for OR teams. The novel use of ORBB technology facilitated outcome analysis and showed significantly better Debrief scores for simulation-trained surgeons compared with nontrained surgeons.

Effect of Hospital Cancer Designation on use of Multimodal Therapy and Survival of Metastatic Colorectal Cancer: A State-Wide Analysis.

BACKGROUND: Stage IV colorectal cancer (CRC) often requires multidisciplinary approach. However, multimodal treatment options (receipt of > 1 type of treatment) may not be uniformly delivered across health systems. We characterized the association between center-level cancer center designation and receipt of multimodal treatment and survival. METHODS: The Texas Cancer Registry was used to identify patients diagnosed with stage IV CRC from 2004-2017. We identified those who received care at either: a National Cancer Institute-designated (NCI-D), an American College of Surgeons-Commission on Cancer-designated (ACS-D), or an undesignated facility. We used multivariable logistic regression and Cox regression for analysis to assess receipt of one or more treatment modality and 5-year overall survival. RESULTS: Of 19,355 patients with stage IV CRC, 2955 (15%) received care at an NCI-D facility and 5871 (30%) received multimodal therapy. Both NCI-D (odds ratio [OR] 1.64; 95% confidence interval [CI] 1.49-1.81) and ACS-D (OR 1.37; 95% CI 1.27-1.48) were associated with increased likelihood of multimodal therapy compared with undesignated centers. NCI-D also was associated with significantly improved survival (hazard ratio [HR] 0.74; 95% CI 0.70-0.78), although ACS-D was associated with a modest improvement in survival (HR 0.95; 95% CI 0.92-0.99). Receipt of multimodal therapy was strongly associated with improved survival (HR 0.61; 95% CI 0.59-0.63). CONCLUSIONS: In patients with stage IV CRC, treatment at ACS-D and NCI-D facilities was associated with increased use of multimodality therapy and improved survival. However, only a small proportion of patients have access to these specialized centers, highlighting a need for expanded access to multimodal therapies at other centers.

Delta Radiomic Features Predict Resection Margin Status and Overall Survival in Neoadjuvant-Treated Pancreatic Cancer Patients.

BACKGROUND: Neoadjuvant therapy (NAT) emerged as the standard of care for patients with pancreatic ductal adenocarcinoma (PDAC) who undergo surgery; however, surgery is morbid, and tools to predict resection margin status (RMS) and prognosis in the preoperative setting are needed. Radiomic models, specifically delta radiomic features (DRFs), may provide insight into treatment dynamics to improve preoperative predictions. METHODS: We retrospectively collected clinical, pathological, and surgical data (patients with resectable, borderline, locally advanced, and metastatic disease), and pre/post-NAT contrast-enhanced computed tomography (CT) scans from PDAC patients at the University of Texas Southwestern Medical Center (UTSW; discovery) and Humanitas Hospital (validation cohort). Gross tumor volume was contoured from CT scans, and 257 radiomics features were extracted. DRFs were calculated by direct subtraction of pre/post-NAT radiomic features. Cox proportional models and binary prediction models, including/excluding clinical variables, were constructed to predict overall survival (OS), disease-free survival (DFS), and RMS. RESULTS: The discovery and validation cohorts comprised 58 and 31 patients, respectively. Both cohorts had similar clinical characteristics, apart from differences in NAT (FOLFIRINOX vs. gemcitabine/nab-paclitaxel; p < 0.05) and type of surgery resections (pancreatoduodenectomy, distal or total pancreatectomy; p < 0.05). The model that combined clinical variables (pre-NAT carbohydrate antigen (CA) 19-9, the change in CA19-9 after NAT (∆CA19-9), and resectability status) and DRFs outperformed the clinical feature-based models and other radiomics feature-based models in predicting OS (UTSW: 0.73; Humanitas: 0.66), DFS (UTSW: 0.75; Humanitas: 0.64), and RMS (UTSW 0.73; Humanitas: 0.69). CONCLUSIONS: Our externally validated, predictive/prognostic delta-radiomics models, which incorporate clinical variables, show promise in predicting the risk of predicting RMS in NAT-treated PDAC patients and their OS or DFS.

Cost Analysis and Financial Implications of a Peritoneal Surface Malignancy Program in the USA.

BACKGROUND: We aimed to describe the financial implications of cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) in the USA. MATERIALS AND METHODS: We conducted a retrospective cost analysis of 100 CRS/HIPEC procedures to examine the impact of patient and procedural factors on hospital costs and reimbursement. A comparison of surgeons' work relative value units (wRVUs) between CRS/HIPEC and a representative sample of complex surgical oncology procedures was made to assess the physicians' compensation rate. Univariable and multivariable backward logistic regression was used to analyze the association between perioperative variables and high direct cost (HDCs). RESULTS: The median direct cost per CRS/HIPEC procedure was US $44,770. The median hospital reimbursement was US $43,066, while professional reimbursement was US $8608, resulting in a positive contribution margin of US $7493/procedure. However, the contribution margin significantly varied with the payer mix. Privately insured patients had a positive median contribution margin of US $23,033, whereas Medicare-insured patients had a negative contribution margin of US $13,034. Length of stay (LOS) had the most significant association with HDC, and major complications had the most significant association with LOS. Finally, CRS/HIPEC procedures generated a median of 13 wRVU/h, which is significantly lower than the wRVU/h generated by open pancreatoduodenectomies, open gastrectomies, and hepatectomies. However, higher operation complexity and multiple visceral resections help compensate for the relatively low wRVU/h. CONCLUSIONS: CRS/HIPEC is an expensive operation, and prolonged LOS has the most significant impact on the total cost of the procedure. High-quality care is essential to improve patient outcomes and maintain the economic sustainability of the procedure.

Enhancing Readability of Online Patient-Facing Content: The Role of AI Chatbots in Improving Cancer Information Accessibility.

BACKGROUND: Internet-based health education is increasingly vital in patient care. However, the readability of online information often exceeds the average reading level of the US population, limiting accessibility and comprehension. This study investigates the use of chatbot artificial intelligence to improve the readability of cancer-related patient-facing content. METHODS: We used ChatGPT 4.0 to rewrite content about breast, colon, lung, prostate, and pancreas cancer across 34 websites associated with NCCN Member Institutions. Readability was analyzed using Fry Readability Score, Flesch-Kincaid Grade Level, Gunning Fog Index, and Simple Measure of Gobbledygook. The primary outcome was the mean readability score for the original and artificial intelligence (AI)-generated content. As secondary outcomes, we assessed the accuracy, similarity, and quality using F1 scores, cosine similarity scores, and section 2 of the DISCERN instrument, respectively. RESULTS: The mean readability level across the 34 websites was equivalent to a university freshman level (grade 13±1.5). However, after ChatGPT's intervention, the AI-generated outputs had a mean readability score equivalent to a high school freshman education level (grade 9±0.8). The overall F1 score for the rewritten content was 0.87, the precision score was 0.934, and the recall score was 0.814. Compared with their original counterparts, the AI-rewritten content had a cosine similarity score of 0.915 (95% CI, 0.908-0.922). The improved readability was attributed to simpler words and shorter sentences. The mean DISCERN score of the random sample of AI-generated content was equivalent to "good" (28.5±5), with no significant differences compared with their original counterparts. CONCLUSIONS: Our study demonstrates the potential of AI chatbots to improve the readability of patient-facing content while maintaining content quality. The decrease in requisite literacy after AI revision emphasizes the potential of this technology to reduce health care disparities caused by a mismatch between educational resources available to a patient and their health literacy.

From the simulation lab to the operating room: simulation performance predicts intraoperative performance in robotic gastrojejunostomy.

BACKGROUND: Simulation and video-based assessment (VBA) offer residents the opportunity to develop operative skills while ensuring patient safety. This study aims to determine whether simulation training can predict residents' operative performance, focusing on the gastrojejunal (GJ) anastomosis during robotic pancreatoduodenectomy. METHODS: Twenty-seven general surgery residents completed simulated robotic GJ drills and subsequently performed GJs in the operating room (OR). Both simulated and intraoperative performances were video recorded and retrospectively assessed by two blinded graders using the Objective Structural Assessment of Technical Skills (OSATS) scale, time to completion, and occurrence of errors. Intraoperative GJ OSATS scores were compared in cases with and without Clinically Relevant Delayed Gastric Emptying (CRDGE). Statistical analysis was performed using Spearman's rho, Chi-square, and Kruskal-Wallis tests. RESULTS: For simulated GJs, the median OSATS score was 29 (IQR 27-33), time to completion was 30 min (IQR 27-35), and 11 cases had at least one error. Intraoperative GJs had a median OSATS of 30 (IQR 27-31), time to completion of 41 min (IQR 36-51), and errors occurred in nine cases. The OSATS score on the simulated GJs demonstrated a significant positive correlation to the OSATS score on the operative GJs (r = 0.74; p < 0.001) and less time to completion (r = - 0.68; p < 0.001). A shorter simulated GJ completion time significantly correlated with a higher intraoperative OSATS score (r = - 0.52; p < 0.01). Residents with at least one error in the simulated GJs had lower OSATS scores and higher times intraoperatively. Those cases with CRDGE had significantly lower intraoperative OSATS scores than those without CRDGE. CONCLUSION: Performance on a simulated robotic GJ environment is a robust predictor of OR GJ performance, demonstrating predictive validity. VBA of residents' operative GJ performance is associated with the presentation of CRDGE. Simulation-based training may be crucial to optimizing surgical outcomes before operating on patients.

Impact of team performance on the surgical safety checklist on patient outcomes: an operating room black box analysis.

BACKGROUND: Surgical safety checklists reduce adverse events, but monitoring adherence to checklists is confounded by observation bias. The ORBB platform can monitor checklist compliance and correlate compliance with outcomes. This study aims to evaluate the association between checklist compliance and patient outcomes using the ORBB platform. METHODS: This is a retrospective analysis of data from the electronic medical record of cases performed in ORBB-equipped operating rooms at a single quaternary referral center. All patients who did not opt out and underwent surgery at UT Southwestern Medical Center in ORBB-equipped rooms from August 2020 to September 2022 were included. The ORBB platform was set-up in five operating rooms and surgical safety checklist compliance was monitored by way of AI-based video review. RESULTS: Overall, 4581 patients were included in this analysis.. Performance on the checklist was associated with lower mortality (OR, 0.96; 95% CI, 0.94-0.98; P < 0.05), and decreased length of stay (estimate [E]: -0.02 days; 95% CI, -0.03 to -0.005; P < 0.05). Performance during "timeouts" was associated with mortality (OR, 0.97; 95% CI, 0.94-0.99; P < 0.05). "Debriefings" were independently associated with mortality (OR, 0.98; 95% CI, 0.96-0.99; P < 0.05), length of stay (Estimate, -0.0009 days; 95% CI, -0.02 to -0.001; P < 0.05), and ICU admission (OR, 0.99; 95% CI, 0.98-0.99; P < 0.05). CONCLUSION: Procedures performed by surgical teams who performed better on the surgical safety checklist tended to have better outcomes. This innovative technology could substantially enhance our ability to understand and mitigate threats to patients in real-time.

The development of a deep learning model for automated segmentation of the robotic pancreaticojejunostomy.

BACKGROUND: Minimally invasive surgery provides an unprecedented opportunity to review video for assessing surgical performance. Surgical video analysis is time-consuming and expensive. Deep learning provides an alternative for analysis. Robotic pancreaticoduodenectomy (RPD) is a complex and morbid operation. Surgeon technical performance of pancreaticojejunostomy (PJ) has been associated with postoperative pancreatic fistula. In this work, we aimed to utilize deep learning to automatically segment PJ RPD videos. METHODS: This was a retrospective review of prospectively collected videos from 2011 to 2022 that were in libraries at tertiary referral centers, including 111 PJ videos. Each frame of a robotic PJ video was categorized based on 6 tasks. A 3D convolutional neural network was trained for frame-level visual feature extraction and classification. All the videos were manually annotated for the start and end of each task. RESULTS: Of the 100 videos assessed, 60 videos were used for the training the model, 10 for hyperparameter optimization, and 30 for the testing of performance. All the frames were extracted (6 frames/second) and annotated. The accuracy and mean per-class F1 scores were 88.01% and 85.34% for tasks. CONCLUSION: The deep learning model performed well for automated segmentation of PJ videos. Future work will focus on skills assessment and outcome prediction.

Safety and Feasibility of Single-Port Robotic-Assisted Nipple-Sparing Mastectomy.

Importance: Robotic-assisted nipple-sparing mastectomies with multiport robots have been described in the US since 2015; however, significant hurdles to multiport robotic surgery exist in breast surgery. Objective: To demonstrate that the single-port da Vinci SP (Intuitive Surgical) robotic system is feasible in patients undergoing robotic nipple-sparing mastectomy (rNSM). Design, Setting, and Participants: An initial case series of 20 patients at a large university hospital underwent bilateral single-port robotic nipple-sparing mastectomies (SPrNSM) with tissue expander reconstruction from February 1, 2020, through January 4, 2023. Participants included women who met surgical criteria for nipple-sparing mastectomies, per standard of care. Intervention: Surgery using a single-port robot and the surgical technique of the authors. Main Outcomes and Measures: Age, indication, body mass index, breast size, operative time, conversion to open surgery, systemic complications, postoperative skin necrosis, and reported skin and nipple areolar complex (NAC) sensation. Results: Twenty women aged 29 to 63 years (median, 40 years) underwent bilateral SPrNSM. Eleven patients completed prophylactic surgery due to a high risk for breast cancer (more than 20% lifetime risk) and 9 patients had breast cancer. Breast size ranged from A through D cup with median B cup and a body mass index range of 19.7 through 27.8 (median 24.4). The total duration of the procedure from incision to skin closure for both sides ranged from 205 minutes to 351 minutes (median, 277). The median robotic time for bilateral SPrNSM was 116 minutes and varied by cup size (A cup, 95 minutes; B cup, 140 minutes; C cup, 118 minutes; D cup, 114 minutes) with no inflection point in learning curve. No cases were converted to open and no immediate complications, such as hematoma, positive margins, or recurrence, were seen. In the first 10 patients prior to routine sensation testing, 20 resected breasts had measurable NAC sensation at a range from 4 to 36 months post-index resection (65%). In the second 10 patients of the cohort, measurable NAC was preserved in 13 of 20 resected breasts 2 weeks following the index operation (65%). Conclusion and Relevance: In this case series, SPrNSM with immediate reconstruction was feasible and performed safely by an experienced breast surgeon with limited previous robotic training. Further studies confirming the preliminary data demonstrating improved NAC and skin sensation following SPrNSM are warranted. Trial Registration: ClinicalTrials.gov Identifier: NCT05245812.

Proficiency Levels and Validity Evidence for Scoring Metrics for a Virtual Reality and Inanimate Robotic Surgery Simulation Curriculum.

OBJECTIVE: Our institution recently implemented a virtual reality (VR) skills curriculum for general surgery residents using the SimNow simulator. Based on a content alignment study, we revised the curriculum to include only 20 of 33 VR tasks and we added 3 previously validated inanimate tasks. The purpose of this study was to establish expert-derived proficiency levels for all tasks and to evaluate the validity of the scoring for the VR tasks. DESIGN: Two expert robotic surgeons performed 5 repetitions of each VR and inanimate task. The trimmed mean (lowest scoring attempt and outliers [>2 standard deviations] were eliminated) was defined as the expert level for each task. For the VR tasks, expert levels were compared to resident performance to evaluate validity. SETTING: This study was conducted at the University of Texas Southwestern Medical Center (Dallas, TX), a tertiary care academic teaching hospital. PARTICIPANTS: Two expert robotic surgeons participated in this study. The data from 42 residents (PGY2-4) who completed the original curriculum was used to represent novice performance. RESULTS: Comparison of expert levels and resident performance was statistically significant for 15 VR tasks (supporting validity) and approached significance (p = 0.06, 0.09) for 2 VR tasks; expert levels were designated as proficiency levels for these 17 tasks. Group comparisons were clearly not significant (p = 0.2-0.8) for 3 VR tasks; 2 of these 3 tasks were retained as introductory exercises (with 3 repetitions required) and 1 was excluded. For the 3 inanimate tasks, expert levels minus 2 standard deviations were designated as proficiency levels. CONCLUSIONS: This analysis generated validity evidence for 15 VR tasks and established expert-derived proficiency levels for 17 VR tasks and 3 inanimate tasks. Our proposed curriculum now consists of 19 VR and 3 inanimate tasks using the selected proficiency levels. We anticipate that this design will maximize curriculum efficiency and effectiveness.

Minimally invasive pancreaticoduodenectomy: A favorable approach for frail patients with pancreatic cancer.

BACKGROUND: Within the past decade, minimally invasive pancreaticoduodenectomy has been increasingly adopted in high-volume cancer centers. Amid broader trends of a growing older population, the numbers of frail patients with cancer are expected to increase. In this study, we compared the postoperative outcomes of open pancreaticoduodenectomy and minimally invasive pancreaticoduodenectomy in frail patients with pancreatic ductal adenocarcinoma. METHODS: Using the pancreatectomy-targeted American College of Surgeons-National Surgical Quality Improvement Program database (2014-2021), we identified pancreaticoduodenectomy cases for pancreatic ductal adenocarcinoma. Patients with a modified frailty index ≥2 were considered frail. We performed 2:1 (open pancreaticoduodenectomy to minimally invasive pancreaticoduodenectomy) optimal pair propensity score matching for both patient- and disease-specific characteristics. We evaluated baseline covariate balance for homogeneity and assessed 30-day postoperative outcomes: complications, discharge destination, major morbidity, and mortality. RESULTS: We identified 3,143 frail patients who underwent pancreaticoduodenectomy for pancreatic ductal adenocarcinoma. Of those, 275 (9%) underwent minimally invasive pancreaticoduodenectomy. Minimally invasive pancreaticoduodenectomy was associated with a lower rate of any complications compared with open pancreaticoduodenectomy (43% vs 54%; P < .001), major morbidity (29% vs 35%; P = .042), and nonhome discharge (12% vs 17%; P = .022). When comparing the 2 minimally invasive pancreaticoduodenectomy approaches, robotic surgery was associated with fewer complications compared with laparoscopy (39% vs 51%; P = .040) and a lower mortality rate (1% vs 4%; P = .041) CONCLUSION: In frail patients with pancreatic cancer, minimally invasive pancreaticoduodenectomy was associated with better postoperative outcomes than open pancreaticoduodenectomy. This study builds on growing literature reporting that, when properly implemented, minimally invasive pancreaticoduodenectomy is associated with more favorable postoperative outcomes. Given the particularly high risk of complication in frail patients, implementing a preoperative frailty assessment can provide valuable insights to inform patient counseling.

A guideline on the molecular ecosystem regulating ferroptosis.

Ferroptosis, an intricately regulated form of cell death characterized by uncontrolled lipid peroxidation, has garnered substantial interest since this term was first coined in 2012. Recent years have witnessed remarkable progress in elucidating the detailed molecular mechanisms that govern ferroptosis induction and defence, with particular emphasis on the roles of heterogeneity and plasticity. In this Review, we discuss the molecular ecosystem of ferroptosis, with implications that may inform and enable safe and effective therapeutic strategies across a broad spectrum of diseases.