Citations

Background: Southeast Asian Americans (SEAAs) experience a disproportionately high burden of hepatocellular carcinoma (HCC), with incidence in several subgroups (i.e., Cambodian, Laotian, and Vietnamese individuals) reaching up to nine times that of non-Hispanic Whites. HCC in SEAAs is largely driven by chronic hepatitis B (HBV), hepatitis C (HCV), metabolic dysfunction–associated steatotic liver disease (MASLD), and alcohol-associated liver disease (ALD). Despite established screening guidelines, under-detection and delayed diagnosis remain common. Objective: To summarize epidemiologic patterns, risk factors, screening challenges, and potential interventions aimed at reducing HCC disparities among SEAAs. Design and Methods: This narrative review synthesized evidence from population based epidemiologic studies, community-based interventions, health services research, and policy analyses. Attention was given to studies reporting disaggregated SEAA subgroup data. Findings derived from SEAA specific studies were distinguished from evidence drawn from broader Asian American or general cirrhosis populations, with inferential steps explicitly noted where subgroup specific data were limited. Key Findings: HCC incidence varies widely across SEAA subgroups, with elevated HBV- and HCV-related HCC in Vietnamese, Cambodian, and Laotian communities, and increasing MASLD-related HCC including among lean individuals who fall outside many surveillance frameworks. Screening and surveillance remain suboptimal, with fewer than 30% of patients with cirrhosis receiving recommended semiannual HCC surveillance and even lower uptake among SEAAs. Barriers include low HBV/HCV screening rates, limited disease awareness, language barriers, underinsurance, provider knowledge gaps, and lack of automated EHR-based reminders. Structural challenges such as poverty, transportation barriers, and limited access to specialty care further delay diagnosis. Proposed Interventions: Culturally tailored outreach programs, bilingual navigators, and community-based screening initiatives have demonstrated improved HBV/HCV testing and linkage to care. AI-enabled EHR tools may enhance identification of high-risk patients, streamline follow-up, and increase surveillance adherence. Expanded use of non-invasive fibrosis assessment and recognition of MASLD-related risk in non-obese individuals may support earlier detection. Policy priorities include mandatory Asian subgroup data disaggregation, expanded insurance coverage, and strengthened community-level healthcare infrastructure. Conclusions: SEAAs face a substantial and preventable HCC burden. A coordinated approach combining culturally tailored community engagement, improved provider support systems, and policy reforms is essential to improving early detection and reducing HCC disparities in this diverse population.

Background/Objectives: Racial/ethnic and regional disparities in neoplasm-related mortality remain a significant public health challenge. In this study, we aimed to evaluate long-term trends in county-level neoplasm-related mortality rates by race/ethnicity in the United States and examine associations with social determinants of health. Methods: We conducted a cross-sectional ecological study using population-based data from the Global Burden of Disease Study, including individuals residing in 50 states of the United States and the District of Columbia from 2000 to 2019. We analyzed age-standardized neoplasm-related mortality rates by ethnicity/race. Joinpoint regression analysis was used to identify significant changes in mortality trends, summarized as average annual percentage change. County-level correlations between mortality and key social determinants of health were also assessed. Results: Neoplasm-related mortality rates declined across all racial/ethnic groups from 2000 to 2019; however, disparities persisted. The age-standardized neoplasm-related mortality rates per 100,000 population decreased in all racial/ethnic subgroups. The average annual percentage change ranged from −0.94% (Hispanic and non-Hispanic American Indian or Alaska Native) to −1.90% (Black). Sex-specific analyses revealed similar trends. Southeastern states experienced slower declines than Northeastern states did. County-level smoking and poverty rates were positively correlated, whereas the primary care physician-to-population ratio, excessive alcohol consumption rate, mammography screening rate, and median household income were inversely correlated with neoplasm-related mortality rate, varying by race/ethnicity. Conclusions: Targeted, community-specific interventions are required to reduce inequities in cancer outcomes.

Cancer-induced muscle wasting affects many people with cancer, reducing treatment tolerance and survival. We identified a natural dietary compound, ursolic acid, that attenuates muscle atrophy across five preclinical cancer models spanning pancreatic, colon, and lung cancer. Ursolic acid inhibits cancer-induced changes in muscle mRNA expression, preserves muscle strength, and remains protective during chemotherapy, without affecting food intake or tumor burden. These results identify ursolic acid as a promising, translatable dietary supplement for supportive cancer care.

Background: The comparative effectiveness of robotic-assisted versus conventional minimally invasive (“straight stick”) approaches across multiple solid organ malignancies remains incompletely defined, limiting evidence-based operative platform selection. Study Design: Patients undergoing minimally invasive primary tumor resection for 17 solid organ cancers were identified in the National Cancer Database (2010–2022) and stratified by robotic-assisted versus straight stick approach. The primary endpoint was conversion to open surgery. Secondary endpoints included short-term outcomes and oncologic/technical metrics. Multivariable logistic and negative binomial regression models were used to estimate adjusted associations. Results: Among 2,258,360 patients, 1,339,482 (59.3%) underwent robotic-assisted resection. Robotic surgery was associated with lower adjusted conversion rates compared with straight stick approaches (6.1% vs 13.6%, p<0.001), a finding consistent across all organ sites. Robotic approaches yielded approximately one additional lymph node on average after adjustment. Length of stay, 90-day mortality, and negative margin rates were overall similar between groups, with variation by disease site. Conclusions: In this large national cohort, robotic-assisted resection for solid organ malignancies was more frequently utilized and associated with lower conversion rates and modestly higher lymph node yield compared with straight stick approaches. These findings support consideration of robotic platforms to reduce conversion risk, although equivalence in other short-term outcomes and potential residual confounding warrant cautious interpretation.

ABSTRACT Background Interpretation of urodynamic studies (UDS) is central to diagnosing lower urinary tract dysfunction, but it is often complex, time‐consuming, and subject to interobserver variability. Recent advances in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), have enabled automated analysis of multichannel pressure–flow data and may improve objectivity and efficiency in UDS interpretation. Objective To critically review current applications of ML and DL for interpretation of multichannel UDS data and to evaluate their performance, clinical targets, and limitations. Methods A literature search of PubMed, Scopus, and Web of Science was performed through September 2, 2025, without language or date restrictions. A narrative review was conducted of peer‐reviewed studies applying ML or DL techniques to invasive UDS signals, including vesical, abdominal, and detrusor pressures as well as urinary flow. Studies limited to uroflowmetry or non‐UDS inputs were excluded. Model design, input features, validation strategies, and clinical outcomes were systematically assessed. Results A total of 12 studies met inclusion criteria. AI models were applied to a range of UDS tasks, including detection of detrusor overactivity, classification of bladder outlet obstruction and detrusor underactivity, multi‐feature UDS pattern recognition, severity grading, and real‐time event detection. Reported diagnostic performance was generally high, with many models achieving accuracies or AUCs between 80% and 95% for primary outcomes. However, study designs were heterogeneous, most datasets were retrospective and single‐center, and external validation was limited. Conclusions ML and DL approaches can extract clinically meaningful information from multichannel UDS recordings and demonstrate strong technical performance across several diagnostic tasks. However, variability in methodology, limited generalizability, and lack of prospective validation currently limit clinical adoption. AI‐based UDS interpretation remains an emerging research area requiring standardized data, robust validation, and integration with clinical workflows.

Abstract Background Fibroblast growth factor receptors inhibitors (FGFRi) are approved treatments for various malignancies. FGFRi-associated retinopathy is a class effect of FGFRi, including erdafitinib, pemigatinib, infigratinib, and rogaratinib. Patients and Methods We summarized FGFRi-associated retinopathy with erdafitinib across 5 clinical studies in patients with metastatic urothelial cancer (mUC pooled studies) and one study in patients with advanced solid tumors (RAGNAR). We also present changes in visual acuity, retinal pigment epithelial elevation, and subretinal fluid in RAGNAR. Results One hundred and three (21.5%) of 479 patients in the mUC pooled studies and 43/314 (13.7%) patients in RAGNAR experienced FGFRi-associated retinopathy. Most FGFRi-associated retinopathy were Grade 1/2 events. Grade 3 FGFRi-associated retinopathy were infrequent (mUC pooled studies, 11/479 [2.3%]; RAGNAR, 3/314 [1.0%]). No Grade 4 events occurred. Most FGFRi-associated retinopathy events (mUC pooled studies, 81/103 [78.6%]; RAGNAR, 30/43 [70.0%]) occurred within 90 days of treatment initiation and were managed with erdafitinib dose interruption (mUC pooled studies, 41/479 [8.6%]; RAGNAR, 23/314 [7.3%]) or reduction (mUC pooled studies, 58/479 [12.1%]; RAGNAR, 21/314 [6.7%]); few required treatment discontinuation (mUC pooled studies, 14/479 [2.9%]; RAGNAR, 3/314 [1.0%]). By the data cutoff, 63.1% (65/103) patients in the mUC pooled studies and 65.1% (28/43) patients in RAGNAR had their FGFRi-associated retinopathy events resolve. Most unresolved FGFRi-associated retinopathy events were persistent Grade 1 events. In RAGNAR, 92.0% of patients had their visual acuity return to baseline and 78.5% of patients had their retinal pigment epithelial elevation resolve. Conclusions FGFRi-associated retinopathy with erdafitinib can be managed with dose reductions, interruptions, or discontinuations. Proactive collaboration between oncologists and ophthalmologists is required to ensure that erdafitinib delivers clinical benefit to patients while managing their potential adverse symptoms of FGFRi-associated retinopathy.

Case: A right-hand dominant, 38-year-old man presented to clinic with atraumatic left wrist pain of 1 year duration in the setting of bilateral bipartite lunate. Both wrists ultimately became symptomatic and were treated with proximal row carpectomy. The patient had durable pain relief in both wrists after proximal row carpectomy. Conclusion: Bipartite lunate is a rare developmental anomaly that is usually asymptomatic. Operative intervention directed at treating involved osteoarthritic joints is warranted in the rare symptomatic patient. Clinicians should be aware of the pathology given its high rate of misdiagnosis.

Background The prevalence and clinical correlates of extra-aortic vascular disease in Marfan syndrome remain incompletely defined, and current surveillance strategies primarily target the thoracic aorta. Methods We conducted a multicentre retrospective cohort study of 783 patients with Marfan syndrome across three tertiary centres, with systematic chart and imaging adjudication to define aneurysm and dissection distribution. Results Extra-aortic aneurysms were identified in 32% of patients, most commonly involving the iliac, carotid and subclavian arteries. Extra-aortic dissections occurred in 5.2%. Extra-aortic aneurysms clustered strongly with markers of advanced aortic disease, including abdominal aortic aneurysm (adjusted OR 3.48), prior aortic dissection (OR 3.39) and extra-aortic dissection (OR 4.44), as well as age >40 years and male sex. Genetic confirmation status was not associated with extra-aortic aneurysm presence. Conclusions Extra-aortic vascular involvement is common in Marfan syndrome and closely linked to advanced aortic pathology. These findings support risk-stratified vascular imaging beyond the thoracic aorta in higher-risk patients.