Citations

The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated brain metastases on standard anatomic MRI sequences (T1, T2, FLAIR, T1PG) from eight contributed international datasets were annotated in stepwise method: published UNET algorithms, student, neuroradiologist, final approver neuroradiologist. Segmentations were ranked based on lesion-wise Dice and Hausdorff distance (HD95) scores. False positives (FP) and false negatives (FN) were rigorously penalized, receiving a score of 0 for Dice and a fixed penalty of 374 for HD95. The mean scores for the teams were calculated. Eight datasets comprising 1303 studies were annotated, with 402 studies (3076 lesions) released on Synapse as publicly available datasets to challenge competitors. Additionally, 31 studies (139 lesions) were held out for validation, and 59 studies (218 lesions) were used for testing. Segmentation accuracy was measured as rank across subjects, with the winning team achieving a LesionWise mean score of 7.9. The Dice score for the winning team was 0.65 ± 0.25. Common errors among the leading teams included false negatives for small lesions and misregistration of masks in space. The Dice scores and lesion detection rates of all algorithms diminished with decreasing tumor size, particularly for tumors smaller than 100 mm3. In conclusion, algorithms for BM segmentation require further refinement to balance high sensitivity in lesion detection with the minimization of false positives and negatives. The BraTS-METS 2023 challenge successfully curated well- annotated, diverse datasets and identified common errors, facilitating the translation of BM segmentation across varied environments and providing the tools for future development of personalized volumetric reports to patients undergoing BM treatment.

(1) Burn injuries demand multidisciplinary, evidence-based care, yet the extensive literature complicates timely decision making. Retrieval-augmented generation (RAG) synthesizes research while addressing inaccuracies in pretrained models. However, citation bias in sourcing for RAG often prioritizes highly cited studies, overlooking less-cited but valuable research. This study examines RAG’s performance in burn management, comparing citation levels to enhance evidence synthesis, reduce selection bias, and guide decisions. (2) Two burn management datasets were assembled: 30 highly cited (mean: 303) and 30 less-cited (mean: 21). The Gemini-1.0-Pro-002 RAG model addressed 30 questions, ranging from foundational principles to advanced surgical approaches. Responses were evaluated for accuracy (5-point scale), readability (Flesch–Kincaid metrics), and response time with Wilcoxon rank sum tests (p < 0.05). (3) RAG achieved comparable accuracy (4.6 vs. 4.2, p = 0.49), readability (Flesch Reading Ease: 42.8 vs. 46.5, p = 0.26; Grade Level: 9.9 vs. 9.5, p = 0.29), and response time (2.8 vs. 2.5 s, p = 0.39) for the highly and less-cited datasets. (4) Less-cited research performed similarly to highly cited sources. This equivalence broadens clinicians’ access to novel, diverse insights without sacrificing quality. As plastic surgery evolves, RAG’s inclusive approach fosters innovation, improves patient care, and reduces cognitive burden by integrating underutilized studies. Embracing RAG could propel the field toward dynamic, forward-thinking care.

e13154 Background: Triple-negative breast cancer (TNBC) is a less common but highly aggressive subtype of breast cancer with poor prognosis and limited therapeutic options. Despite advancements in oncology, significant survival disparities persist among racial, histologic, and socio-demographic groups. This study investigates these disparities and identifies factors contributing to unequal outcomes, providing actionable insights for improving care. Methods: Data on TNBC cases from 2000 to 2021 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database, encompassing 17 registries and 76,265 patients. Patients were categorized by stage, marital status, age, race, and histology. Kaplan-Meier survival analysis was used to estimate median survival with 95% confidence intervals (CI), and the log-rank test assessed differences across groups. Cox proportional hazards regression determined the magnitude of disparities. A p-value < 0.05 was considered statistically significant. Results: Among the 76,265 patients analyzed, those with distant-stage disease had the poorest median survival (51 months; 95% CI: 46–60), compared to localized-stage patients (128 months; 95% CI: 127–129). The youngest cohort (15–19 years) exhibited the lowest survival (43 months), while individuals aged 80–84 had a median survival of 79 months (95% CI: 76–84). South Asians, particularly Pakistani individuals, had the shortest survival among racial groups (83 months). Single patients had lower survival (116 months) compared to married or divorced individuals. Histologically, median survival was 113 months (95% CI: 103–120) for epithelial neoplasms and 78 months for mucoepidermoid neoplasms. All observed differences were statistically significant (p < 0.05). Conclusions: Localized-stage TNBC, individuals aged 40–44, and patients from White or Black racial groups exhibited better survival outcomes, as did those with cystic, mucinous, or serous histologies compared to epithelial neoplasms. Addressing these disparities through tailored treatment strategies and improved access to care is critical. Limitations of this study include the lack of treatment-level data and the potential influence of unmeasured confounders. Stage Marital Status Age Group at Diagnosis Distant Localized Single Divorced 15-19 40-44 80-84 Median Survival(LCL-UCL) 51(46-60) 128(127-129) 116(114-118) 127(124-129) 43(14-NA) 132(130-135) 79(76-84) Neoplasm Histology Race Epithelial Muco-epidermoid Cystic, Mucinous& Serous Pakistani OtherAsian Black White Median Survival(LCL-UCL) 113 (103-120) 78(63-NA) 142(123-NA) 83 (63-NA) 97(91-108) 123 (121-125) 126 (125-127) LCL= Lower Confidence Limit, UCL= Upper Confidence Limit.

e20629 Background: Lung cancer (LC) and respiratory failure (RF) are major contributors to mortality in adults globally. Understanding long-term mortality trends across demographic, racial, geographic, and socio-economic groups is crucial to addressing disparities and improving outcomes. This study examines national mortality patterns for LC and RF in the United States from 1999 to 2023, providing critical insights into changes over time and identifying key disparities in age-adjusted mortality rates (AAMRs). Methods: A descriptive analysis of mortality data from the CDC WONDER database (1999-2023) identified deaths due to LC (ICD-10 code C34) and RF (ICD-10 code J96) in adults aged 25+. AAMRs per 100,000 population were calculated and stratified by gender, race/ethnicity, region, state, and urban-rural classification. Temporal trends were analyzed with Joinpoint regression to compute APCs and 95% CIs. Statistical significance was set at p<0.05. The study followed STROBE guidelines. Results: From 1999 to 2023, a total of 456,325 adult deaths (age 25-85+) were attributed to Lung cancer and Renal failure. Age-adjusted mortality rates (AAMRs) for lung cancer (LC) and respiratory failure (RF) decreased from 1999 to 2010 (APC = -1.2, 95% CI: -1.6 to -0.9), followed by an increase from 2010 to 2023 (APC = 1.4, 95% CI: 1.1 to 1.7). Gender trends revealed a steady decline for men, while women's Age-Adjusted Mortality Rates (AAMr) initially decreased, then increased from 2011-2023 (APC: 2.0, 95% CI: 1.7 to 2.5). Non-Hispanic White populations experienced a rapid increase in age-adjusted mortality rates from 2014 to 2017 (APC: 2.7; 95% CI: 0.9 to 3.3), while other racial/ethnic groups exhibited varied trends with declines, increases, and stabilizations. Geographically, AAMRs were highest in the Northeast (8.6; 95% CI: 8.5 to 8.7) and lowest in the Midwest (7.1; 95% CI: 7.0 to 7.1). Metropolitan areas saw declining trends until 2006, stabilizing briefly, and increasing thereafter. Non-metropolitan areas experienced notable increases post-2009 (APC = 2.3, 95% CI: 1.8 to 3.1). State-level disparities revealed Mississippi with the highest AAMR (14.0; 95% CI: 13.7 to 14.4) and Wisconsin with the lowest (3.7; 95% CI: 3.5 to 3.8). These findings highlight significant demographic, racial, and geographic variations in LC and RF mortality trends. Conclusions: LC and RF-related mortality rates initially declined from 1999 to 2010 but increased significantly from 2010 onward, with notable demographic, racial, and geographic disparities. These findings highlight the urgent need for targeted interventions and resource allocation to address these rising trends and reduce inequities across vulnerable populations.

e20520 Background: Cancer and respiratory failure (RF) are amongst leading causes of mortality in adults. This study investigates national trends in age-adjusted mortality rates (AAMRs) for cancer and RF in the United States from 1999 to 2023, focusing on disparities by gender, race, region, and rural-urban residence to inform public health strategies. Methods: This descriptive study analyzed data from the CDC WONDER database, of adults aged 25 and older. Mortality data were identified using ICD-10 codes C00–C97 (cancer) and J96 (RF). AAMRs per 100,000 population were calculated and stratified by gender, race/ethnicity, census region, urban-rural classification, and state. Temporal trends were analyzed using Joinpoint regression to estimate annual percent changes (APCs) with 95% confidence intervals (CIs). Statistical significance was set at p < 0.05. Results: From 1999 to 2023, total deaths of 1,263,368 attributed to cancer and RF (682,141 men, 581,227 women). AAMRs declined from 1999 to 2004 (APC = -1.5, 95% CI: -4.0 to -0.4), stabilized from 2004 to 2012 (APC = 0.8, 95% CI: 0.1 to 2.4), and increased from 2012 to 2023 (APC = 3.2, 95% CI: 2.9 to 3.8). Men experienced a greater initial decline (APC = -2.1, 1999–2004) but significant increases thereafter (APC = 3.0, 2012–2023), while women showed a slower decline followed by sharper increases (APC = 3.5, 2013–2023). Non-Hispanic Black populations initially declined (APC = -1.7, 1999–2003) but later increased significantly (APC = 3.0, 2014–2020). Hispanic/Latino populations declined (APC = -1.2, 1999–2009) before rising sharply (APC = 3.1, 2009–2020). American Indian or Alaska Native populations showed consistent increases (APC = 1.7, 1999–2020). Urban areas experienced initial declines (APC = -1.7, 1999–2004), followed by increases (APC = 2.4, 2011–2020). Non-metropolitan areas exhibited steeper increases (APC = 4.6, 2014–2020). Regionally, the West recorded the highest AAMR (24.0), followed by the Northeast (23.6), South (20.9), and Midwest (18.0). Mississippi had the highest state-level AAMR (36.3), while Wisconsin had the lowest (10.0). States in the top 90th percentile included Mississippi, Arkansas, and California, while Wisconsin, Minnesota, and Oregon were among the lowest. Conclusions: Cancer and RF mortality declined initially but have significantly increased in recent years. Disparities persist across gender, racial, and regional groups, underscoring the need for focused public health efforts and equitable resource distribution to address these trends.

e20593 Background: Tislelizumab, an anti-PD-1 antibody, is emerging as a promising immunotherapy agent and has demonstrated clinical benefit and acceptable tolerability in recent lung cancer trials. This study aims to assess the safety and efficacy of Tislelizumab, as monotherapy or combined with chemotherapy (Group 1), as a superior treatment alternative for lung cancer compared to standard chemotherapy (Group 2) in improving patient outcomes. Methods: Following PRISMA guidelines, a systematic search was conducted through MEDLINE, Embase, Scopus, Science Direct, Cochrane (CENTRAL), and ClinicalTrials.gov from inception to December 2024 to identify Randomized Control Trials (RCTs). Hazards ratio (HRs) and risk ratios (RRs) were generated, by employing a Random-effects model with a 95% confidence interval (CI). Statistical analysis was performed using RevMan 5.4, with statistical significance set at p<0.05. Our outcomes of interest were Progression Free Survival (PFS), Overall Survival (OS), Objective Response Rate (ORR), Disease Control Rate (DCR), Duration of response (DOR), and treatment-related adverse Events. Results: A total of 6 RCTs involving 2107 patients were included for analysis. Pooled analysis demonstrated that Group 1 significantly improved PFS, OS, and DOR with HRs of 1.85 (95% CI: 1.71-1.99; p <0.00001, I² = 0%), 2.01 (95% CI: 1.75-2.29; p <0.00001, I² = 0%) and 2.14 (95% CI: 1.52-3.03; p <0.0001, I² = 39%), respectively. Group 1 has better DCR and ORR compared to Group 2 with RRs of 1.52 (95% CI: 1.12-2.07; p= 0.007, I² = 97%) and 1.50 (95% CI: 1.20-1.86; p= 0.0003, I² = 83%), respectively. The high heterogeneity observed in the pooled analysis of DCR (I² = 97%) and ORR (I² = 83%) likely reflects variability in study populations, treatment protocols, and response assessment criteria across the included RCTs. Subgroup or sensitivity analyses could help identify contributing factors. Despite the heterogeneity, the pooled effect sizes indicate a statistically significant improvement in DCR and ORR with Tislelizumab, with caution warranted when generalizing these findings. Group 1 significantly reduced all-cause mortality compared to Group 2 (RR = 0.89; 95% CI: 0.83–0.95; p = 0.0003), with no heterogeneity (I² = 0%). No significant differences were found in adverse events, except for ALT elevations. (RR = 1.36; 95% CI: 1.14–1.61; p = 0.0006, I² = 25%). Conclusions: Tislelizumab, with or without chemotherapy, demonstrates greater PFS and OS benefits compared to chemotherapy alone in patients with lung cancer. There was a significantly reduced all-cause mortality in the intervention group; however, the observed increase in the risk of ALT elevation underscores the need for vigilant liver function monitoring. When combined with chemotherapy, Tislelizumab presents a promising treatment option for lung cancer.

e24020 Background: Transcatheter aortic valve replacement (TAVR) is a widely adopted treatment for severe aortic stenosis, but outcomes in cancer survivors with prior chest radiation therapy (C-XRT) remain uncertain. This study compares the clinical outcomes of TAVR between patients with a history of C-XRT and those without prior radiation exposure (control group). Methods: Patients with prior chest radiation therapy (C-XRT) were compared to a control group without radiation exposure to evaluate key clinical endpoints. For each endpoint, odds ratios (OR) and 95% confidence intervals (CI) were determined, and heterogeneity was analyzed using the I² statistic. A p-value of <0.05 was considered statistically significant. Results: Nine studies were included in the meta-analysis, encompassing 3083 C-XRT and 8891 control patients. Patients with prior C-XRT showed significantly higher long-term mortality (OR 1.84, 95% CI [1.08, 3.13], p=0.02) compared to controls. Other outcomes, including access-related vascular complications, Acute Kidney Injury, Congestive heart failure, major bleeding, need for pacemaker, short-term mortality, and stroke, did not demonstrate significant differences between the groups. Conclusions: Cancer survivors with prior chest radiation therapy undergoing TAVR may experience higher long-term mortality compared to patients without radiation exposure. However, no significant differences were observed in other major outcomes. These findings suggest that while TAVR is a viable treatment for C-XRT patients, long-term risks require further investigation to optimize patient selection and management strategies. Outcomes. Outcome OR 95% Confidence Interval P value Access related vascular complications 1.12 [0.85, 1.48] 0.43 Acute kidney injury 0.54 [0.20, 1.50] 0.24 Congestive heart failure 1.38 [0.88, 2.17] 0.16 Long term mortality 1.84 [1.08, 3.13] 0.02 Major bleeding 0.96 [0.78, 1.17] 0.67 Need for pacemaker 1.05 [0.88, 1.26] 0.57 Short term mortality 1.66 [0.97, 2.84] 0.06 Stroke 1.25 [0.74, 2.11] 0.39