Citations

Background There is a global mismatch between the number of adults with congenital heart disease and adult congenital heart disease (ACHD) cardiologists, potentially impacting patient outcomes. This survey explores factors influencing trainees and cardiologists' career choices in ACHD. Methods An online, anonymous global survey on demographics, ACHD as a career choice, encouraging and deterring factors assessed via a 5‐point Likert scale and open‐ended questions on recommending ACHD was distributed through targeted emails and social media. Responses meeting a 75% completion criterion were analyzed using descriptive statistics and thematic analysis. Results Among 811 included responses, most were from women (53.5%), aged 31 to 40 years (48.3%), White individuals (43.3%), non‐Hispanic individuals (85%), from outside the ACHD field (79.0%), and from North America (42.7%). Only 30.9% of non‐ACHD physicians considered specializing in ACHD despite 78.9% recommending it. Encouraging factors included awareness of ACHD significance, mentor influence, and clinical exposure. Key deterrents were inadequate financial incentives, limited job opportunities, and lengthy training. Regional variations showed that longer training duration and lack of compensation incentives were the main deterrents in North America. Suggested solutions included structured training programs, salary improvements, and early ACHD exposure during medical education. Conclusions Less than a third of respondents considered ACHD as a career largely due to inadequate financial incentives, limited job opportunities, and long training duration. Addressing these barriers could enhance recruitment and help meet the growing demands of the ACHD population.

Abstract Craniopharyngiomas are rare parasellar tumors, and papillary craniopharyngiomas (PCPs) represent 8 to 20% of cases. Interim analysis of retrospective data collected from the Registry of Adenomas of the Pituitary and Related Disorders (RAPID). Fourteen U.S.-based academic skull base centers between 2011 and 2023. Patients with PCPs. Demographic, imaging, surgical, and outcome variables. Ninety-nine patients with PCPs were included. The mean age was 51.8 ± 14.7, and 57.6% were male. Most tumors showed mixed cystic/solid components (67.5%), were transinfundibular (50.0%), and were treated with an endoscopic endonasal approach (74.5%), with 51.1% demonstrating gross total resection (GTR). Pituitary stalk was preserved in 51.9%. Permanent arginine vasopressin deficiency was seen in 67.1% and was associated with pituitary stalk sacrifice (p = 0.003). Cerebrospinal fluid leak was the most common nonendocrine postsurgical, 30-day complication (9.1%), reason for return to the operating room (3.1%), and reason for 90-day readmission (8.1%). Most patients (63.9%) received no adjuvant therapy; GTR was associated with decreased radiotherapy use (p = 0.0001). BRAFV600E mutation was detected in 64/69 tumors tested, although only one patient was treated with a BRAF inhibitor. A mean follow-up of 12.3 ± 14.6 months was seen for the group. RAPID consortium enabled the largest real-world clinical information dataset for PCPs. Early findings support that GTR and stalk preservation are important to outcomes. Iterative analysis and discussion of data led to the generation of a framework for future studies to fully leverage the capabilities of multicenter registries.

The use of temporary mechanical circulatory support in refractory heart failure cardiogenic shock (HFCS) has risen, leading to potential complications. Post-Cardiac Injury Syndrome (PCIS) from Impella insertion is rare but may result from subclavian artery manipulation and aortic irritation. We report the first case of pericarditis (PCIS) caused by Impella 5.5 insertion in an HFCS patient awaiting heart transplantation. The patient developed chest pain, tachycardia, and hypotension post-Impella insertion. Laboratory results and electrocardiograms confirmed PCIS. Treatment with Ibuprofen and Colchicine was successful. He received a heart transplant 14 days later. This case emphasizes recognizing iatrogenic pericarditis after Impella insertion and the need to avoid additional myocardial strain.

Abstract Background The radiation oncology clinical practice involves many steps relying on the dynamic interplay of abundant text data. Large language models have displayed remarkable capabilities in processing complex text information. But their direct applications in specific fields like radiation oncology remain underexplored. Purpose This study aims to investigate whether fine‐tuning LLMs with domain knowledge can improve the performance on Task (1) treatment regimen generation, Task (2) treatment modality selection (photon, proton, electron, or brachytherapy), and Task (3) ICD‐10 code prediction in radiation oncology. Methods Data for 15 724 patient cases were extracted. Cases where patients had a single diagnostic record, and a clearly identifiable primary treatment plan were selected for preprocessing and manual annotation to have 7903 cases of the patient diagnosis, treatment plan, treatment modality, and ICD‐10 code. Each case was used to construct a pair consisting of patient diagnostics details and an answer (treatment regimen, treatment modality, or ICD‐10 code, respectively) for the supervised fine‐tuning of these three tasks. Open source LLaMA2‐7B and Mistral‐7B models were utilized for the fine‐tuning with the Low‐Rank Approximations method. Accuracy and ROUGE‐1 score were reported for the fine‐tuned models and original models. Clinical evaluation was performed on Task (1) by radiation oncologists, while precision, recall, and F‐1 score were evaluated for Task (2) and (3). One‐sided Wilcoxon signed‐rank tests were used to statistically analyze the results. Results Fine‐tuned LLMs outperformed original LLMs across all tasks with p value ≤ 0.001. Clinical evaluation demonstrated that over 60% of the fine‐tuned LLMs‐generated treatment regimens were clinically acceptable. Precision, recall, and F1‐score showed improved performance of fine‐tuned LLMs. Conclusion Fine‐tuned LLMs demonstrated statistically significant improvements over original LLMs upon three clinically important tasks in radiation oncology. This study explored the feasibility of applying fine‐tuned LLMs in radiation oncology, inspiring further development of utilizing LLMs to assist with radiation oncology tasks.

Abstract INTRODUCTION Monoclonal anti‐amyloid therapies are now accessible, but how these treatments influence changes within the brain is still not clear. We investigated overall and regional change in amyloid removal, glucose metabolism, and atrophy in trial participants with dominantly inherited Alzheimer's disease (DIAD). METHODS In the DIAN‐TU‐001 trial, 92 carriers received gantenerumab or placebo and underwent serial neuroimaging assessments including [ 11 C]‐Pittsburgh compound‐B (PiB) positron emission tomography (PET), [ 18 F]‐fluoro‐2‐deoxyglucose (FDG) PET, and magnetic resonance imaging (MRI). RESULTS Gantenerumab significantly reduced PiB‐PET uptake overall and in most regions and showed no changes in FDG‐PET or MRI measures. Drug effects were associated with baseline PiB‐PET uptake, and the largest effects occurred in medial regions. DISCUSSION Treated DIAD participants, and especially those with higher amyloid burden, showed a decrease in PiB‐PET uptake, which was more pronounced in the basal ganglia and medial frontal structures. These results may inform patient response and future drug trial design. Highlights Gantenerumab unevenly decreased Aβ burden as measured by PiB‐PET across brain regions. The strongest decrease in PiB‐PET uptake was in basal ganglia and medial frontal structures. Variable drug effect on Aβ was partly due to the amount of burden present before treatment. There was no regional effect on FDG‐PET metabolism or MRI volumetrics after 4 years.

Abstract Anti-IgLON5 disease is an autoimmune encephalitis that presents with a heterogenous clinical phenotype, including sleep disorders, movement abnormalities and bulbar involvement. It is characterized by autoantibodies against IgLON5, 85% association with HLA-DQB1*05:∼ and a brainstem-dominant tauopathy. Cellular and murine models report pathogenic effects of the autoantibodies, and neurodegenerative factors suggest progressive atrophy as a common sequela. However, evidence from in vivo patient data and long-term follow-up is limited, and the degree of progression remains elusive. In this multicentre study, clinical and brain MRI data were collected from 127 patients across 12 countries to investigate the relationships between clinical presentations and the development of distinct brain atrophy patterns. Our data show that most patients develop a complex multisystem phenotype as the disease progresses; however, neuromuscular manifestations rarely emerge at later disease stages. By comparison to healthy controls, this disease presents with severe substructure-specific atrophy, especially affecting the hypothalamus, brainstem, accumbens and basal ganglia, which, in age-independent analyses, show significant ventricular enlargement and also suggest progression of brainstem atrophy over the disease course. Moreover, the focality of atrophy was functionally linked to specific symptoms, with more severe involvement of the basal ganglia in patients with movement disorders, and greater atrophy in the hippocampus and thalamus in patients with cognitive impairment. Taken together, our results provide evidence of distinct atrophy patterns in anti-IgLON5 disease, which closely mirror sites of pathophysiologic processes, including autoantibody binding and tau deposition. Our data emphasize the brainstem as the pathophysiological hub of the disease and provide normative data for the incorporation of atrophy measurements into routine clinical assessments and future treatment studies to monitor disease trajectory and evaluate future treatment strategies.

Abstract RAS pathway (RASp) mutations induce proliferative features, and promote transformation in chronic myelomonocytic leukemia (CMML). However, the unique clonal landscape and hierarchy of distinct RASp mutations remain unexplored. To characterize the landscape, architecture, and implications of unique RASp mutations in CMML, we evaluated a cohort of 814 patients with CMML. We identified 461 RASp mutations among 342 patients (42%). N/KRAS and CBL mutations were the most common, frequently involved the P-loop or RING domains, respectively, and frequently appeared as dominant events (63% and 65%, respectively). BRAF, NF1, and PTPN11 mutations spanned throughout the gene structure, and frequently appeared as subclonal events (75%, 64%, and 59%, respectively). CBL mutations frequently occurred in codominance with SRSF2 and multihit TET2, and were enriched for KIT mutations. PTPN11 mutations more frequently co-occurred with SETBP1 and DNMT3A mutations, and were infrequently codominant with TET2 or ASXL1. RASp mutations predicted for shorter overall survival (hazard ratio [HR], 1.55; 95% confidence interval [CI], 1.15-2.07; P = .0075) and leukemia-free survival (LFS; HR, 1.67; 95% CI, 1.26-2.20; P = .0011), influenced outcomes of myelodysplastic and TET2 mutant CMML, and cooperated with IDH2 and RUNX1 mutations to induce shorter LFS. These data set the bases for refined genomic classifications of CMML, and underscore the need to develop RAS-directed therapies for patients with CMML.

Abstract Introduction: Radiotherapy (RT)-induced acute esophagitis (AE) is a common side effect in lung cancer patients receiving RT, which can significantly impact their quality of life. This highlights the need for a predictive model that can estimate AE risk in advance using pretreatment imaging data. However, collecting sufficient data for model development is often resource-intensive and costly. Additionally, acquiring a homogeneous training dataset (e.g., from a single center or modality) is not always feasible. This study aimed to develop an automated artificial intelligence-based 3D vision foundation model (VFM) combining standard-of-care planning computed tomography (pCT) and planned radiation dose maps to predict grade II or higher AE. Materials and methods: This study included 246 patients with non-small cell lung cancer who underwent either image-guided radiation treatment (IMRT) or proton-beam radiation therapy. The endpoint was grade two or higher AE (33% positive and 67% negative). The IMRT group consisted of 182 patients from a single center, whereas the proton therapy group included 64 patients from the Proton Collaborative Group trial from 11 different institutions. For each patient, pCT, dose maps, and radiotherapy segmentations were available. The VFM was created using a transformer pretrained using a large number of unlabeled volumetric 3D CTs from patients with varied diseases through a self-supervised learning approach, which extracts useful features directly from images. Next, the pretrained encoder was combined with fully connected classification layers and fine-tuned using stratified 5-fold cross-validation with 20 patients set aside for testing. We developed two models: a CT only and CT + dose model. Model performance was assessed using the area under the curve (AUC), specificity, and sensitivity. Results: In cross-validation, adding dose information to CT (CT+Dose) improved model performance, increasing AUC from 0.72 ± 0.08 to 0.76 ± 0.10 and specificity from 0.82 ± 0.09 to 0.87 ± 0.04, while sensitivity remained the same. On the independent test set, CT+Dose showed a marked improvement over CT only (AUC: 0.82 vs. 0.59; sensitivity: 0.57 vs. 0.14), with a slight decrease in specificity (0.77 vs. 1.00). Conclusion: A VFM model combining CT and radiation dose showed the capability to predict AE more accurately with higher specificity. Further studies on larger cohorts of testing patients are planned to assess model generalization. Citation Format: Chloe Min Seo Choi, Jue Jiang, Nikhil Mankuzhy, John Chang, Jing Zeng, Carlos Vargas, James Urbanic, Isabella Choi, Mark Mcdonald, James Gray, Joseph Deasy, Maria Thor, Charles Simone, Harini Veeraraghavan. Prediction of radiotherapy-Induced esophagitis in non-small cell lung cancer using a 3D vision foundation model [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Artificial Intelligence and Machine Learning; 2025 Jul 10-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(13_Suppl):Abstract nr B022.

PURPOSE Colorectal cancer (CRC) incidence and mortality have decreased since the 1970s, but the incidence in young adults (<50 years, named early-onset CRC [eoCRC]) has been increasing. PATIENTS AND METHODS Individual patient data on 13,365 patients with metastatic CRC enrolled between 2000 and 2012 in 17 first-line randomized trials in the Aide et Recherche en Cancérologie Digestive database were pooled. The distribution of demographics, clinicopathologic features, biomarkers, and outcome data were summarized and compared by age groups. Progression-free survival (PFS) and overall survival (OS) were assessed by Kaplan-Meier curves and Cox models stratified by treatment arms within studies, adjusting for potential confounders. Predictive value of age group on clinical outcomes was evaluated by testing interaction effect between treatment and age variables. RESULTS Overall, 2,045 patients with eoCRC (median age, 42.5) and 11,320 patients with average-onset CRC (aoCRC; median age, 63.8) were included in this analysis. Within the eoCRC population, treatment with bevacizumab in addition to chemotherapy improved PFS (9.9 v 6.8 months; hazard ratio [HR], 0.66 [95% CI, 0.54 to 0.80]; P < .0001), which was similar to the findings in aoCRC population (9.4 v 7.3 months; HR, 0.73 [95% CI, 0.67 to 0.80]; P < .001; interaction P = .5415). However, epithelial growth factor receptor inhibitor (EGFRi) did not improve PFS in RAS wild-type (WT) patients with eoCRC who had left-sided primary tumors (8.3 v 8.9 months; HR, 1.20 [95% CI, 0.81 to 1.77]; P = .36), whereas EGFRi significantly improved PFS in the aoCRC population (9.9 v 8.5 months; HR, 0.74 [95% CI, 0.64 to 0.86]; P < .0001; interaction P = .083). CONCLUSION Treatment-naïve patients with metastatic eoCRC appear to derive similar benefit from bevacizumab as patients with aoCRC. However, patients with eoCRC with left-sided RAS/RAF WT tumors did not appear to derive benefit from first-line EGFRi.

Background Pancreatoduodenectomy (PD) is the only curative treatment for pancreatic cancer. Neoadjuvant therapy (NAT) has enhanced survival, especially for downstaging advanced tumors, while also introducing complexities and new complications. Despite surgical advances, some PD attempts remain unsuccessful. The management of these cases is not well defined. This study analyzes outcomes of repeat PD performed by two high-volume surgeons following previously unsuccessful attempts. Methods We retrospectively analyzed patients with pancreatic neoplasm undergoing successful pancreaticoduodenectomy (2013-2024) at two high-volume centers under two experienced surgeons. Only cases with prior aborted PD attempts for non-metastatic disease were included. Data from institutional records provided outcomes on failure reasons, procedure timing, surgical details, and 90-day complications. Results Of the 858 PD cases, 18 patients (2.1%; 12 males, 6 females; median age 69 years) had prior unsuccessful PD attempts at other institutions. Initial tumors were borderline resectable (33.3%), resectable (22.2%), or locally advanced (22.2%). Main causes for initial failure were vascular involvement (41.2%) and tumor infiltration (17.6%). Median time between attempts was 246 days, with 77.8% receiving chemotherapy before the second attempt. The second procedure achieved R0 resection in 94.4% of cases. Major 90-day complications occurred in 23.5% of patients, with no perioperative mortality. Disease recurrence occurred in 38.9% within the first year. Conclusion Repeat PD after an aborted attempt is feasible in select patients at specialized centers. However, complication and recurrence rates emphasize the need for careful patient selection. Further research is needed to optimize management strategies.