Citations

Dynamic gadopiclenol-enhanced nodal and pedal MR lymphangiography was safe, with no adverse events, and feasible for imaging peripheral and central conducting lymphatic anatomy.

Scattered tubular-like cells (STCs) are dedifferentiated renal tubular cells that repair other damaged kidney cells. This study shows that renovascular disease (RVD) induces site-specific 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) modifications in DNA associated with transcriptional changes and impaired proliferative capacity of swine STCs, which could be mitigated in RVD-STCs treated with an epigenetic modulator. Therefore, our observations may contribute to the development of novel approaches to preserve the reparative capacity of STCs in individuals with RVD.

Abstract Improved understanding of how chimeric antigen receptor (CAR) and endogenous T‐cell phenotypes associate with progression‐free survival (PFS) is needed to individualize and improve immunotherapy outcomes in multiple myeloma (MM). We characterized and investigated the prognostic value of immune dynamics defined with multidimensional and computational flow cytometry in 258 bone marrow aspirates from 107 MM patients treated with idecabtagene vicleucel in the KarMMa trial. At screening, there was an association between longer PFS and increased percentages of PD1 + cytotoxic T cells and ICOS − TIGIT + Tregs. At Month 1 after infusion, the presence of >1% CAR‐T cells, a CD4/CD8 CAR‐T‐cell ratio >0.09, and greater abundance of non‐activated non‐cytolytic CAR‐T cells identified patients with longer PFS. Notably, 47 of the 115 endogenous T‐cell clusters were prognostic at the latest assessment performed after CAR‐T infusion. Lower percentages of ICOS + TIGIT − Tregs showed the strongest association with longer PFS. Altogether, this large dataset of dynamic immune profiling throughout treatment with anti‐B‐cell maturation antigen (anti‐BCMA) CAR‐T cells uncovered that the T‐cell composition prior to apheresis as well as CAR‐T and endogenous T‐cell phenotypes after infusion associates with PFS. These findings have potential for translation into routine laboratory practice for improved understanding of response and resistance to CAR‐T cells in relapsed/refractory MM.

Abstract Rationale Idiopathic Pulmonary Fibrosis (IPF) is characterized by chronic progressive pulmonary fibrosis and high mortality. Genetic markers, summarized into a polygenic risk score (PRS), associate with IPF in well-phenotyped research cohorts. Objectives To evaluate the performance of the PRS using real-world data from routinely captured electronic healthcare records. Methods We conducted an observational study evaluating the association of a PRS for IPF with electronic healthcare record diagnosis of IPF as well as lung transplant-free survival in four independent cohorts; the Mass General Brigham Biobank (MGBB), Mayo Clinic Biobank (MCBB), Mayo Clinic Tapestry Cohort (Tapestry), and U.K. Biobank (UKBB). We used multivariable logistic regression and multivariable Cox proportional hazards models adjusting for age, gender, and principal components of ancestry. The cohorts then underwent fixed and random effects meta-analysis. Measurements and Main Results Of 37,709; 44,195; 43,202; and 447,422 participants from MGBB, MCBB, Tapestry and UKBB respectively, 1,015 (2.7%) 2,879 (6.5%), 1,310 (3.0%), and 2,742 (0.6%) participants had an IPF diagnosis. Meta-analysis demonstrated a high-risk PRS associated with IPF diagnosis, OR 2.88 (95%CI 2.41-3.44) compared to all other individuals. A high-risk PRS also associated with the composite endpoint of mortality or lung transplant among those with an IPF diagnosis, HR 1.23(95%CI 1.11-1.35) compared to all other individuals. Conclusions A PRS can identify those at risk for an IPF diagnosis and mortality in biobank-scale data, which may have implications for clinical decisions. Further work is necessary to evaluate the utility of adding genetics in clinical settings.

The integration of artificial intelligence (AI) into healthcare systems is central to the realization of 6P Medicine that emphasizes Predictive, Preventive, Personalized, Participatory, Precision-oriented, and Public-centered care. While several conceptual AI adoption models have been proposed, few provide prescriptive guidance for real-world validation across technical, sociotechnical, and ethical dimensions. This paper introduces a comprehensive validation framework for the Scalable Multi-Layer AI Adoption Model for 6P Medicine. The framework aligns architectural prerequisites, regulatory governance, and continuous lifecycle monitoring with the six interdependent layers of the model. Validation is addressed across data integrity, model robustness, clinical efficacy, human-AI collaboration, scalability, and ethical governance, drawing on FDA Good Machine Learning Practice (GMLP) principles and WHO regulatory considerations. The resulting framework intends to support continuous, real-world validation, positioning AI as a trustworthy, scalable, and ethically governed enabler of 6P Medicine.

Abstract Background This secondary analysis of a phase I clinical trial illustrates integrated summary and visualization of Common Terminology Criteria for Adverse Events (CTCAE) data and Patient-Reported Outcomes version of the CTCAE (PRO-CTCAE) data at baseline and through the first cycle of treatment for tolerability review during dose-cohort evaluation in a phase I trial. Methods This study uses data from a phase I clinical trial of patients with relapsed or refractory acute myeloid leukemia. Through iterative feedback from clinicians and statisticians, we developed a summary of cycle 1 PRO-CTCAE and CTCAE data for the first dose-level cohort. This summary is intended to demonstrate reporting that would be reviewed to inform a decision about proceeding to the next dose level in a dose escalation trial. Results Cycle 1 CTCAE and PRO-CTCAE data for 4 patients enrolled in the first dose cohort are summarized as narrative and tabular summaries and visualized using swimmer and butterfly plots. In this cohort, 3/4 (75%) patients had at least one CTCAE grade 3 or higher adverse event, and all 4 (100%) patients had at least one PRO-CTCAE composite score of 3 during cycle 1. All 4 (100%) patients had at least one symptom for which PRO-CTCAE suggested greater symptom burden than was reflected in CTCAE. Conclusions In this illustrative summary of a dose cohort, PRO-CTCAE complemented CTCAE reporting by capturing patient-reported symptomatic burden that was not always fully reflected by clinician-graded adverse events. Reviewing PRO-CTCAE and CTCAE data together during dose-cohort evaluation may enrich discussions on safety and tolerability in phase I trials.

BACKGROUND: Aortic enlargement is a powerful predictor of dissection and rupture, yet it is rarely evaluated during routine myocardial perfusion imaging, despite the widespread availability of computed tomography (CT) attenuation correction scans. The aim of this study was to determine whether fully automated, opportunistically derived, artificial intelligence-based aortic measurements from myocardial perfusion imaging CT attenuation correction scans are associated with adverse outcomes in a large multicenter cohort. METHODS: CT attenuation correction scans from patients undergoing positron emission tomography/CT and single-photon emission CT/CT myocardial perfusion imaging across 10 centers were included. A deep learning model automatically segmented the thoracic aorta, and a postprocessing algorithm extracted maximum ascending and descending diameters. The aortic size index was calculated by indexing the diameter to body surface area. RESULTS: A total of 29 339 patients (56% men; median age, 66 years [interquartile range, 58–75 years]) were included. Over a median follow-up of 3.5 years (interquartile range, 1.9–5.0 years), 5083 (17.3%) patients died. Median ascending and descending aortic size index values were 1.8 cm/m 2 (interquartile range, 1.6–2.0) and 1.5 cm/m 2 (interquartile range, 1.4–1.6), respectively, with an increase with age and higher values in females. Elevated aortic size index thresholds (ascending >2.2 cm/m 2 ; descending >1.6 cm/m 2 ) were significantly associated with increased all-cause mortality (ascending: adjusted hazard ratio, 1.16 [95% CI, 1.07–1.26], P <0.001; descending: adjusted hazard ratio, 1.23 [95% CI, 1.14–1.31]; P <0.001). Notably, the prognostic value of an abnormal aortic size index persisted independent of age, sex, and perfusion abnormalities. CONCLUSIONS: Artificial intelligence can unlock previously unused information within routine myocardial perfusion imaging CT attenuation correction scans by rapidly and automatically quantifying aortic size at scale. Opportunistic aortic measurements derived from CT attenuation correction may serve as an adjunctive risk biomarker and could add prognostic value to standard myocardial perfusion imaging without additional imaging or radiation.

BACKGROUND: Acoramidis achieves near-complete (≥90%) transthyretin stabilization and is approved to reduce cardiovascular-related mortality and hospitalization in transthyretin amyloid cardiomyopathy. Its effects on kidney function are not well characterized. METHODS: Data from randomized phase 2 (N=49) and phase 3 (N=632) studies in transthyretin amyloid cardiomyopathy were included. The estimated glomerular filtration rate (eGFR) slope was generated using a linear spline mixed-effects model. The urinary albumin-to-creatinine ratio was measured longitudinally. Relationships between changes in kidney function and clinical outcomes were explored using Cox proportional hazards models. RESULTS: Acoramidis initiation resulted in a modest acute dip in eGFR that was dose-dependent, reversible, and not associated with adverse kidney-related events. At Day 28, the mean (±SE) dip in eGFR from baseline with acoramidis was 8.5±0.48 mL/min per 1.73 m 2 ; the placebo-corrected reduction in the urinary albumin-to-creatinine ratio was 15.5% (95% CI, 0.4%–28.4%; P =0.044). The rate of decline in kidney function (chronic eGFR slope) was significantly improved with acoramidis versus placebo (−1.01 versus −3.48 mL/min per 1.73 m 2 per year; P <0.001), and the reduction in the urinary albumin-to-creatinine ratio was sustained (13.7% [95% CI, 1.7%–24.2%]; P =0.026) over time. Concomitant tafamidis use did not influence the chronic eGFR slope in either arm. Comparing acoramidis versus placebo subgroups with acute eGFR dips ≥ the median (4.89 mL/min per 1.73 m 2 ) favored acoramidis for all-cause mortality or cardiovascular-related hospitalization (hazard ratio, 0.42 [95% CI, 0.22–0.78]; P =0.006; P interaction=0.043) and cardiovascular-related hospitalization (hazard ratio, 0.34 [95% CI, 0.17–0.66]; P =0.002, P interaction=0.025). Within the placebo arm, eGFR dips portended worse outcomes. CONCLUSIONS: Acoramidis initiation resulted in an acute dip in eGFR and reductions in both the chronic eGFR slope and urinary albumin-to-creatinine ratio versus placebo without adverse kidney-related events. Acoramidis effects on kidney function may be mediated through direct kidney-protective hemodynamic effects. Importantly, the acute dip in eGFR was associated with a reduced risk of adverse clinical outcomes within the first year. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifiers: NCT03458130, NCT03536767, NCT03860935, NCT04988386.

Background Intraoperative indocyanine green fluorescence angiography (ICG-FA) is increasingly utilized to assess bowel perfusion during colorectal anastomosis. Although recent multicenter randomized trials have yielded mixed findings, pooled randomized evidence and 2025 SAGES guidance indicate an overall benefit, particularly in left-sided and rectal surgery. However, acquisition protocols, interpretation criteria, and reported endpoints remain heterogeneous. Main message ICG-FA reflects the dynamics of an intravascular dye signal and is affected by injection technique, hemodynamic status, camera geometry, display mode, and platform-specific processing. Visual interpretation shows substantial interobserver variability. Thus, single fluorescence-intensity snapshots are unstable for comparison. In contrast, time-intensity kinetics and spatial heterogeneity measures are more reproducible and physiologically meaningful. Among reported kinetic metrics, the time ratio (TR = T1/2Max/Tmax) is promising. However, current evidence is preliminary and needs multicenter validation. Proposal We propose a practical minimum acquisition and reporting standard for colorectal ICG-FA studies as an expert-opinion framework for future consensus development. This includes consistent reporting of ICG administration, physiological status at assessment, imaging conditions, camera geometry, analysis methodology, measured outcomes, decision impact, and software/version details. We also describe other relevant approaches, such as laser speckle contrast imaging (LSCI), hyperspectral imaging (HSI), and artificial intelligence (AI)-assisted interpretation. Conclusions The key question is no longer only whether ICG-FA should be used, but how its signal should be acquired, quantified, interpreted, and reported. Better standardization should improve comparability, support multicenter validation, and clarify where perfusion imaging adds the greatest clinical value.