Citations

The NCCN Guidelines for Prostate Cancer include recommendations for staging and risk assessment after a prostate cancer diagnosis and for the care of patients with localized, regional, recurrent, and metastatic disease. These NCCN Guidelines Insights summarize the panel’s discussions on select 2026 updates to the guidelines regarding nonmetastatic disease: the elimination of the very-low-risk group, updates to the Principles of Active Surveillance, and caution in the use of focal therapy in newly diagnosed patients.

Abstract Background Previous studies evaluated large language model (LLM) performance on the American Society of Nuclear Cardiology (ASNC) Board Preparation Exam. Without domain-specific context, the best model (GPT-4o) achieved 63.1%, below the estimated 65% passing threshold and the 78% mean score of human fellows-in-training (FITs). Providing textbook context improved GPT-4o to 73.8% on text-only questions, but still fell short of human trainees. Whether next-generation LLMs with retrieval-augmented generation (RAG) can exceed this gap is unknown. Methods Claude Opus 4.7 and GPT-5.5 were administered all 168 questions (141 text-only, 27 image-based) from the 2023 ASNC Board Preparation Exam across 5 iterations each, using RAG with a nuclear cardiology textbook, companion atlas, and ASNC clinical guidelines. Claude used local FAISS-based semantic retrieval; GPT-5.5 used Azure’s cloud-hosted vector store. Performance was compared to prior LLM results and 13 human FITs. Results Across 5 iterations, Claude Opus 4.7 achieved a mean accuracy of 86.3% ± 1.4% (text 88.8%, image 73.3%). GPT-5.5 achieved 86.7% ± 2.2% (text 88.5%, image 77.0%) but refused a mean of 12.2 questions (7.3%) per iteration due to safety filters. Both models surpassed the human FIT mean (78.0%) and the estimated passing threshold. Compared to GPT-4o without context (63.1%), this represents a 23-percentage-point improvement in 18 months. Conclusion Next-generation LLMs with RAG now surpass average human trainee performance on nuclear cardiology board preparation questions, suggesting significant potential as educational tools and knowledge-reference aids in cardiovascular imaging. Condensed Abstract Across 5 iterations each, Claude Opus 4.7 and GPT-5.5 with retrieval-augmented generation achieved mean accuracies of 86.3% and 86.7% on the 2023 ASNC Board Preparation Exam (168 questions), both surpassing the mean human fellow-in-training score of 78%. GPT-5.5 refused a mean of 12.2 questions (7.3%) per iteration due to safety filters. These results represent a 23-percentage-point improvement over the best prior LLM without context (63.1%), demonstrating that RAG-enhanced LLMs have reached human-level proficiency in nuclear cardiology knowledge. Graphical Abstract Overview of the three-study research arc evaluating LLM performance on the 2023 ASNC Board Preparation Exam. Study 1 (2024) tested four LLMs without context (best: GPT-4o, 63.1%). Study 2 (2025) added textbook context to GPT-4o (73.8%). Study 3 (2026, current) evaluated Claude Opus 4.7 and GPT-5.5 with retrieval-augmented generation across 5 iterations each (mean 86.3% and 86.7%, respectively), both surpassing the human fellow-in-training mean of 78%. Right panel shows the performance scale with key thresholds.

BACKGROUND AND OBJECTIVES: Craniopharyngiomas are complex intracranial tumors that pose significant challenges in surgical management. We aimed to develop risk-stratified surgical outcome benchmarks for adult patients undergoing endoscopic craniopharyngioma resection by using the Registry of Adenomas of the Pituitary and Related Disorders database to facilitate comparisons across institutions and guide clinical decision-making. METHODS: A retrospective cohort of adult patients (18 years and older) with craniopharyngioma undergoing a first-time endoscopic transnasal surgery across 14 academic centers in the United States was analyzed using data collected from 2011 to 2024. Patients were stratified into low-risk and high-risk cohorts based on criteria including age, body mass index, selected tumor characteristics (size, infundibular relationship, intraventricular extension), and previous radiation. Surgical outcomes were analyzed, and benchmarking ranges were defined using the established methodology. RESULTS: The overall cohort included 318 patients with a mean age of 50 years. Upon benchmarking analysis (50th-75th percentile performance), low-risk patients (n = 136) had a median length of stay of 4.0 to 6.0 days, 90-day readmission rates of 15.5% to 22.2%, skilled nursing facility discharge rates of <1.0%, postoperative cerebrospinal fluid leak incidence of <1.0% to 14.3%, gross total resection rates of 50.0% to 60.8%, new postoperative arginine vasopressin deficiency rates of 33.3% to 50.0%, and tumor progression/recurrence rates of <1.0% to 18.3% over a median follow-up period of 27.0 (IQR 10.5-56.5) months. Benchmarking ranges were proposed for each outcome to facilitate cross-institutional comparisons. CONCLUSION: Establishing surgical outcome benchmarks for adult patients undergoing craniopharyngioma resection using data from the Registry of Adenomas of the Pituitary and Related Disorders provides a framework for assessing surgical performance and guiding clinical decision-making. Benchmark ranges can inform institutional quality improvement efforts, perioperative risk stratification, and patient counseling regarding expected postoperative outcomes.

Triple-negative breast cancer (TNBC) represents a biologically aggressive subtype with limited therapeutic targets; however, tumor-infiltrating lymphocytes (TILs) have emerged as the most robust immune biomarker with compelling prognostic and predictive significance. This comprehensive review synthesizes current evidence on TIL assessment methodology; the immunobiological landscape of TNBC, including regulatory T cell populations and PD-L1 correlations; gene expression underpinnings of the tumor immune microenvironment; and systematic evidence from meta-analyses and clinical trials. Meta-analytic estimates demonstrate that high TIL levels are associated with improved overall survival (HR 0.58, 95% CI 0.48–0.71) and disease-free survival (HR 0.66, 95% CI 0.57–0.76), with each 10% TIL increment conferring incremental benefit. High TILs predict superior pathologic complete response to neoadjuvant chemotherapy (OR 2.14, 95% CI 1.43–3.19), with lymphocyte-predominant breast cancer achieving pCR rates exceeding 80% with pembrolizumab-based chemoimmunotherapy. Future directions include prospective TIL-guided treatment trials, artificial intelligence-enabled standardization, and emerging adoptive TIL cellular therapies for metastatic disease.

Elevated intratumoral interstitial fluid pressure (IFP) can negatively impact the efficacy of neoadjuvant chemotherapy (NAC) of breast cancer. This study aims to predict breast cancer pathological complete response (pCR) to NAC based on IFP measures by 3-D subharmonic-aided pressure estimation (SHAPE). SHAPE uses the inverse linear relationship between hydrostatic pressure and subharmonic signal magnitude from intravascular ultrasound contrast agents. Thirty-eight breast cancer patients undergoing NAC from three clinical sites were enrolled for this study. SHAPE data were collected for each subject at 0%, 10%, and 30% of NAC completion using a Logiq E9 system (GE HeathCare) equipped with an RSP6-16D probe. The contrast agent used was Definity (Lantheus Medical Imaging). The subharmonic signal gradients between tumor and adjacent normal tissue were calculated and compared with patient pathological response outcome using t-test and receiver operating characteristic (ROC) curve analysis. Pressure gradients between pCR (15 patients) and non-pCR (23 patients) groups were significantly different at 0 (p = 0.02), 10 (p = 0.03), and 30% (p = 0.0003) completion of NAC. Area under the curve values of 0.69, 0.77, and 0.86 were achieved at 0%, 10%, and 30% of NAC completion, respectively. Overall, SHAPE pressure gradients may aid prediction of NAC pathological response in breast cancer patients.

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 Differential awakening is a well-known, yet poorly understood phenomenon seen in patients with intracranial pathologies. Because acute postoperative neurological decline has many potentially reversible causes, distinguishing differential awakening from other etiologies is critical. To the authors’ knowledge, differential awakening has not been reported following peripheral nerve procedures. OBSERVATIONS A 40-year-old man presented with a 1.5-year history of painful bilateral cervical and right lumbosacral radiculoplexus neuropathy recently associated with bilateral facial and vestibulocochlear neuropathy. He had not responded to treatment trials. A sciatic nerve lesion in the sciatic notch was identified on imaging and an open biopsy of the posterior femoral cutaneous nerve was pursued. Immediately after emergence from anesthesia, he demonstrated a complete inability to dorsiflex or plantar flex the right foot, despite minimal intraoperative manipulation of the sciatic nerve. Over the ensuing hour, motor function progressively returned to baseline. The transient postoperative motor deficit was attributed to differential awakening of the sciatic nerve. Pathological analysis confirmed high-grade B-cell lymphoma. LESSONS Differential awakening may be an underrecognized cause of transient neurological worsening during emergence from anesthesia following peripheral nerve surgery. Further investigation is needed to clarify the underlying mechanisms and define its incidence and risk factors. https://thejns.org/doi/10.3171/CASE251028

Importance Current risk prediction guidelines for hypertrophic cardiomyopathy predict only sudden cardiac death and are imperfect, leading to avoidable deaths and unnecessary implantable cardioverter defibrillators. Objective To combine prospectively collected clinical history, imaging, genetic, and biomarker data to improve risk prediction of adverse events in hypertrophic cardiomyopathy. Design, Setting, and Participants A total of 2750 patients with hypertrophic cardiomyopathy were prospectively enrolled in the registry-based study from 44 sites in North America and Europe with expertise in hypertrophic cardiomyopathy and cardiac magnetic resonance (CMR) imaging. Participants were enrolled from April 1, 2014, to April 7, 2017. Exposures Patients underwent a health history questionnaire, blood sampling for biomarkers and genotyping, and contrast-enhanced CMR. Patients were followed up yearly by telephone and through records review regarding event documentation. Main Outcomes and Measures The predefined composite adjudicated primary end point was time to first event for hypertrophic cardiomyopathy–related deaths; nonfatal sustained ventricular arrhythmias (VAs) requiring cardioversion or defibrillation; and left ventricular (LV) assist device implant or heart transplant. A secondary end point was a composite of sudden cardiac death and nonfatal VA events. The elastic-net method identified the most important predictors. Cox proportional hazards regression assessed associations with time to the first end point. Results Of the 2750 prospectively enrolled patients, 2698 (98%) had analyzable data after 9 were excluded because they had hypertrophic cardiomyopathy phenocopies and 43 withdrew. Of these remaining patients, 1919 (71%) were male, mean age was 50 years (SD, 11 years), and 423 (16%) were from underrepresented racial and minority groups. The mean follow-up was 6.9 years (SD, 2.1 years). The primary event model in 104 patients included LV scar as a percentage of LV mass by late gadolinium enhancement (LGE%; hazard ratio [HR], 1.86; 95% CI, 1.58-2.20; P &amp;lt; .001), LV mass index (HR, 1.09; 95% CI, 1.01-1.17; P = .03), LV end-systolic volume index (HR, 1.28; 95% CI, 1.12-1.46; P &amp;lt; .001 ), all per 10-unit increase, history of heart failure at study entry (HR, 2.89; 95% CI, 1.75-4.77; P &amp;lt; .001), and log N-terminal pro–B-type natriuretic peptide (NT-proBNP; HR, 1.41; 95% CI, 1.17-1.70; P &amp;lt; .001) level per log unit, (C index for all, 0.77). An LGE percentage of the LV mass of 9% or higher substantially increased the primary composite event rate ( P = .001). The secondary sudden cardiac death and VA risk factor model (in 69 patients) included LGE%, LV mass index, LV ejection fraction, and log(NT-proBNP) (C index, 0.76). Conclusions and Relevance These results provide prospective evidence for incorporating cardiac magnetic resonance and NT-proBNP in the evaluation of patients with hypertrophic cardiomyopathy. Trial Registration ClinicalTrials.gov Identifier: NCT01915615