Citations

Abstract Purpose It remains unclear whether increasing the frequency of administration of 0.01% atropine improves its effectiveness in slowing axial elongation or refractive progression. This study compared twice‐daily 0.01% atropine administration and traditional once‐nightly administration. Methods A hybrid design was adopted incorporating both retrospective and prospective elements, with participants observed for 1 year. The control group (received saline eye drops) and once‐daily 0.01% atropine group (Atropine‐1 group) were derived from two previous trials, while the twice‐daily 0.01% atropine group (Atropine‐2 group) was enrolled prospectively. A total of 163 participants were included in the intention‐to‐treat set, with 51, 70 and 42 participants in the control, Atropine‐1 and Atropine‐2 groups, respectively. The primary outcome was the change in axial length (AL), and the secondary outcome was the change in cycloplegic spherical equivalent refraction (SER). Results Compared with the control group (0.48 ± 0.22 mm), both Atropine‐1 (0.26 ± 0.17 mm) and Atropine‐2 (0.15 ± 0.18 mm) groups showed significantly reduced AL elongation ( p < 0.001). Notably, Atropine‐2 significantly improved slowing of AL elongation compared with Atropine‐1 ( p = 0.008). The result of the secondary outcome (adjusted SER change) was consistent. Atropine‐2 was significantly more effective in slowing SER progression (−0.15 ± 0.37 D) than Atropine‐1 (−0.41 ± 0.50 D) ( p = 0.02). Based on a multivariable model, age was identified as the key covariate to perform subgroup analyses. In the younger subgroup (8–10 years), AL elongation was significantly reduced in the Atropine‐2 group (0.16 ± 0.17 mm) compared with the Atropine‐1 group (0.36 ± 0.22 mm; p = 0.002). In the older subgroup (10–12 years), there was no significant difference in progression. Consistent results were observed in the sensitivity analyses based on the per‐protocol set. Conclusion Twice‐daily administration of 0.01% atropine was more effective than once daily in slowing AL elongation and SER progression in children 8 to 10 years of age. Further investigation with extended follow‐up is warranted to substantiate this finding.

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.

Abstract Ischemic cardiomyopathy (ICM) is a leading cause of heart failure characterized by extensive remodeling of the cardiac extracellular matrix (ECM). While initially adaptive, ECM deposition following ischemic injury eventually turns maladaptive, promoting adverse cardiac remodeling. The strong link between the extent of fibrosis and adverse clinical outcomes has led to growing interest in ECM targeted therapies to prevent or reverse maladaptive cardiac remodeling in ICM; yet, the precise composition of the ECM in ICM remains poorly defined. In this study, we employed a sequential protein extraction enabled by the photocleavable surfactant Azo to enrich ECM proteins from left ventricular tissues of patients with end-stage ICM (n=16) and nonfailing donor hearts (n=16). High-resolution mass spectrometry-based quantitative proteomics identified and quantified over 6,000 unique protein groups, including 315 ECM proteins. We discovered significant upregulation of key ECM components, particularly glycoproteins, proteoglycans, collagens, and ECM regulators. Notably, LOXL1, FBLN1, and VCAN were among the most differentially expressed. Functional enrichment analyses revealed enhanced TGFβ signaling, integrin-mediated adhesion, and complement activation in ICM tissues, suggesting a feedback loop driving continued ECM deposition in the end-stage failing heart. Together, our findings provide a comprehensive proteomic landscape of ECM alterations in the end-stage ICM myocardium and identify promising molecular targets for therapeutic intervention.

9009 Background: International Medical Graduates (IMGs) are a vital component of the US oncology workforce, representing nearly half of practicing medical oncologists. However, systemic barriers may influence their career trajectories differently. Understanding these challenges is essential for addressing workforce disparities and optimizing cancer care delivery across diverse geographic regions. Methods: We conducted a cross-sectional study of 13,497 medical oncologists using the 2024 Dec CMS Provider Dataset linked with the 2023 Rural-Urban Continuum Codes (RUCC). Medical oncologists were identified by their self-reported primary specialties, including Hematology/Oncology, Medical Oncology, and Hematopoietic Cell Transplant. Physicians were categorized by graduation origin (based on their self-reported medical school), career stage (early: 0–10 years, mid: 11–30 years, late: >30 years post-medical school graduation). The primary outcomes included practice at Main Campus of NCI Designated Cancer Centers (as an indicator of academic practice) and the geographical location of their practice (Metro, Non-Metro, Mixed). We employed chi-squared tests for statistical comparisons and performed stratified analyses by career stage to evaluate transition patterns over time. Results: 6920 IMGs constituted 48.7% of the oncology workforce, with similar gender distributions between IMG and non-IMG oncologists (37.9% vs 36.5% female, p=0.068). Notably, early career oncologists were less likely to be IMGs (IMG vs non-IMGs: 8.2% vs 12.5%, p<0.001). Compared to Non-IMGs, IMG oncologists are less likely to practice at main campuses of NCI Center (19.9% vs. 27.7%, p<0.001), especially as their career advances (all p<0.01). (Table). IMGs had higher representation in non-metropolitan areas than non-IMGs (11.4% vs 9.1%, p<0.001), particularly in late-career stages (14.7% vs 12.3%, p=0.033), indicating their unique role in serving underserved regions. (Table). Conclusions: Our findings reveal that, IMGs are less likely to practice at main campuses of NCI-Cancer Center than their non-IMG colleagues. Meanwhile, IMG oncologists are disproportionately serving rural communities. Supporting IMG pathways in oncology is critical to ensure a balanced cancer care delivery across the United States. Practice setting distribution and academic affiliation among international medical graduates (IMGs) and US graduates (USGs) by career stage. IMG (N=6,577) Non-IMG (N=6,920) IMG (N=6,577) Non-IMG (N=6,920) NCI Center Other NCI Center Other Metro Non-Metro/Mixed Metro Non-Metro/Mixed Total 19.9% 80.1% 27.7% 72.3% 88.6% 11.4% 90.9% 9.1% Career Stage Early (0-10y) 29.1% 70.9% 36.1% 63.9% 91.1% 8.9% 95.4% 4.6% Mid (11-30y) 21.3% 78.7% 28.8% 71.2% 90.1% 9.9% 91.6% 8.4% Senior (30+y) 15.0% 85.0% 22.0% 78.0% 85.3% 14.7% 87.7% 12.3%

Abstract Mesenchymal stem cells (MSCs) offer significant therapeutic potential, but traditional 2D culture on rigid substrates results in progressive cell enlargement and senescence, reducing proliferative capacity and therapeutic potency. This poses a major challenge for widespread clinical application. We explored a novel strategy for placenta-derived MSCs combining 2D expansion with 3D spheroid culture to address these limitations. Our research shows that culturing MSCs as 3D spheroids significantly reduces individual cell size and size distribution compared to 2D culture. Spheroid formation is feasible in chemically defined media with minimal cell death, and is enhanced by extracellular matrix protein supplementation. Although MSCs do not proliferate in 3D suspension, an alternating 2D/3D culture protocol, transitioning cells between 2D flasks and 3D spheroids after each passage, effectively slows MSC enlargement and senescence over long periods. This alternating method also preserves MSC immunomodulatory function, unlike continuous 2D culture which leads to its loss. For scalability, we developed an RGD-functionalized alginate hydrogel tube (AlgTube) system that mimics this alternating environment, supporting both adherent growth and chemically triggered spheroid formation. This alternating 2D/3D culture strategy and the scalable AlgTube platform provide a foundation for developing next-generation MSC manufacturing technologies to meet future clinical demands.