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Summary Background Body composition is recognized as a major determinant of health outcomes, but its multidimensional nature makes clinical adoption challenging. We sought to develop and validate a body composition index (BCI) for all-cause mortality risk assessment, integrating variables of six body composition tissues. Methods We analyzed 28509 consecutive patients undergoing myocardial perfusion imaging with routine low-dose chest CT attenuation correction (CTAC) scans acquired during myocardial perfusion imaging (MPI) at 12 centers across four countries. An artificial intelligence-based BCI was developed in a cohort of 15037 patients’ CTACs by integrating the CT-derived metrics of bone, skeletal muscle, and four adipose tissue compartments, coronary artery calcium score, and basic demographic variables (age, sex, BMI). The performance of BCI for mortality prediction was validated in an internal cohort of 6444 patients and an external cohort of 7028 patients by prognosis, calibration, net benefit, and explainability. Model-based simulation of tissue metrics modification was performed to evaluate estimated mortality risk reduction. Findings During a median of 3.5 (IQR [1.9, 5.1]) years, 4697 (16%) patients died. In the external testing cohort, the BCI demonstrated excellent discrimination for mortality (area under receiver operating characteristic curve 0.78 (95% CI [0.76, 0.79]) and Harrell’s concordance index 0.75 [0.73, 0.76]), calibration, and net benefit overall and across pre-specified subgroups stratified by patient characteristics and imaging protocols. Visceral adipose tissue attenuation was the most influential body composition measure, followed by skeletal muscle volume. Simulated improvement in body composition was associated with significant mortality risk reduction. Interpretation An index combining six body composition measures obtained opportunistically from routine chest CT provides robust mortality risk stratification. By converting complex body composition information into a single interpretable score, the BCI can facilitate clinical implementation of opportunistic CT biomarkers and guide individualized preventive strategies. Funding National Institute of Health Research in context Evidence before this study We searched PubMed and Google Scholar on July 7, 2026 for English language studies using the terms (“mortality prediction” OR “death prediction”) AND (“integrated body composition analysis” OR “body composition metrics integration”) AND (“predictive model” OR “model development”), and identified 41 publications describing predictive models incorporating body composition metrics. Recent advances in artificial intelligence (AI) have enabled increasingly granular quantification of body composition from CT, with multiple tissues and tissue-specific metrics showing independent prognostic value for all-cause mortality (ACM) prediction. However, reported associations of body composition metrics with mortality risk were highly inconsistent or even contradictory across studies. This heterogeneity likely reflected the differences in study design or the inherent complexity of body composition analysis, such as the interaction among variables derived from multiple tissues. Thus, it is difficult to interpret body composition results reliably in clinical practice. We hypothesized that integrating multiple body composition metrics could achieve comprehensive and reliable prediction of mortality across patient populations. Added value of this study In this large international, multicenter longitudinal cohort study of 28509 consecutive patients with suspected or known coronary artery disease (CAD) undergoing myocardial perfusion imaging across 12 sites in four countries, we developed and externally validated an artificial intelligence-based body composition index (BCI) for all-cause mortality prediction. The BCI integrated chest CT-derived metrics of six body composition tissue compartments – bone, skeletal muscle (SM), subcutaneous adipose tissue (SAT), intramuscular adipose tissue (IMAT), visceral adipose tissue (VAT), and epicardial adipose tissue (EAT), together with demographics (age, sex, BMI) and CT-derived coronary artery calcium (CAC) score, all derived automatically from routine low-dose attenuation correction CT scans without additional imaging or laboratory tests. In an external validation cohort of 7028 patients, the BCI achieved robust discrimination for mortality prediction, substantially outperforming a baseline model using demographics and calcium score alone, and exceeded the discriminative performance of prior body composition models. Performance was consistent across subgroups defined by sex, age, body mass index, cardiometabolic risk factors, imaging modality, and acquisition protocol, supporting generalizability across clinical settings. The BCI demonstrated excellent calibration and net clinical benefit. Explainability analysis identified visceral adipose tissue attenuation and skeletal muscle volume as the dominant contributors to mortality risk, offering tissue-specific therapeutic targets that complement generic weight-based metrics. Model-based simulations suggested that improvements in these specific compartments could reduce estimated mortality risk more effectively than equivalent changes in BMI alone, pointing toward precision therapeutic targets beyond weight reduction. Our study improved over previous literatures on body composition-based predictive models in one or more of the following ways: (1) we considered six types of body composition tissues while existing studies considered only three or less tissues, thus significantly higher granularity and improved ability to capture refined tissue interactions; (2) our model was rigorously validated in external sites, showing cross-site generalizability while most previous work lacked external validation; (3) our model achieved significant prediction performance improvement over previous body composition predictive models, offering better clinical outcomes prediction and facilitating the suitability for widespread clinical adoption; (4) our study was conducted with a large multi-center cohort across multiple countries, achieving statistical power and demonstrating reliability towards patients characteristics and imaging acquisition protocols while previous studies involved small single-center cohorts; (5) our model required only CT scans and basic demographics which were widely available in clinical routine while the existing models required dedicated laboratory tests or specialized imaging modalities, enhancing the applicability in routine clinical practice. Implications of all the available evidence BCI offers an explainable and clinically deployable tool for improved prediction of mortality risk from existing chest CT scans. Its use could inform updates to existing risk models, guide precision preventive strategies, and support development of therapeutics targeting specific body composition phenotypes.

ABSTRACTBackgroundContrast‐enhanced magnetic resonance neurography (ceMRN) can enhance brachial plexus visualization and quality of imaging. However, the interval between contrast injection and scanning that provides the highest‐quality images is not known.MethodsFifteen patients underwent brachial plexus imaging using the 3D T2‐NerveView sequence with a scanning duration of 5 min. A consecutive six‐phase scan was initiated immediately at the start of contrast agent injection. Subsequently, all patients' images were classified into six groups according to the phases: group A (phase 1, delay 0 min), group B (phase 2, delay 5 min), group C (phase 3, delay 10 min), group D (phase 4, delay 15 min), group E (phase 5, delay 20 min), and group F (phase 6, delay 25 min). The image quality in each group was assessed based on nerve signal (signalnerve), muscle signal (signalmuscle), lymph node signal (signallymph node), background noise (BN), signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), and subjective score.ResultsSignalnerve, signalmuscle, BN, and SNR did not significantly differ among the six groups (p > 0.05). However, significant differences (p < 0.05) were observed in signallymph node (F = 16.067), CNR (F = 9.495), and subjective score (χ2 = 23.586). As the scanning delay increased, signallymph node intensity gradually increased whereas the CNR gradually decreased. The subjective score was significantly higher in groups B (4.83 ± 0.24), C (4.90 ± 0.21), D (4.87 ± 0.30), E (4.83 ± 0.31), and F (4.83 ± 0.31) than in group A (4.47 ± 0.30).ConclusionWe recommend performing brachial plexus ceMRN 5 min after contrast injection. With this delay, the brachial plexus can be visualized optimally with minimal interference from background signals.

Abstract Background and Aims A platelet count ≤100,000/µL is regarded as an independent prognostic marker for the development of leukemia and is associated with inferior survival in myelofibrosis (MF) (Huang et al. 2008). The approved JAK2 inhibitor, ruxolitinib, is associated with treatment-emergent thrombocytopenia, and patients with platelets ≤100,000/µL were excluded from the phase III COMFORT trials. Efficacy and safety data are limited in patients with MF and platelets ≤100,000/µL treated with ruxolitinib. Pacritinib (SB1518), an oral JAK2/FLT3 inhibitor, did not appear to be associated with clinically significant treatment emergent anemia or thrombocytopenia during early phase studies in patients with myeloid and lymphoid malignancies. This integrated analysis was performed to further evaluate the safety and efficacy of pacritinib in MF patients with baseline platelet counts of ≤100,000/µL. Methods The databases from 2 phase I/II clinical trials of pacritinib in advanced myeloid malignancies and MF were integrated to evaluate the rate of adverse events (AEs) and favorable spleen responses in patients with MF and thrombocytopenia. Results One hundred twenty-nine patients with advanced myeloid malignancies and MF were treated with pacritinib in phase I and II clinical trials. Sixty-five patients with MF were treated with 400 mg orally once daily in 2 phase II studies. Of these, 28 patients with MF [21 primary MF (75%), 5 post-polycythemia vera-MF, 2 post-essential thrombocytosis-MF] had baseline platelet counts of ≤100,000/µL (median: 58,500/µL, range: 15,000/µL – 97,000/µL). The median age was 69 years. Twenty three (82%) patients had the JAK2V617F mutation. During the phase 2 studies, spleen volume responses were assessed by MRI and are shown for all patients (Figure 1) and for patients with platelets ≤100,000/µL (Figure 2). Thirty-seven percent and 43% of all evaluable patients and patients with ≤100,000/µL platelets, respectively, had ≥35% reduction in spleen volume from baseline (Table). Among the 21 informative patients with allelic JAK2V617F quantification at more than 1 study visit, 3, including 2 patients with homozygous mutations, had ≥35% reduction in spleen volume and substantial reductions in allelic burden from baseline (mean reduction 64%, range 44 to 88%). In the 11 (17%) patients with MF and baseline platelet counts ≤50,000/μL, overall spleen volume reduction was 38% (3/8) in evaluable patients and the median decline in platelet count observed at study end was 6,000/µL. Integrated safety analysis for all 129 patients with advanced myeloid malignancies showed the most common adverse events (AEs) were gastrointestinal (GI), predominantly diarrhea, and most of these were grade 1 (43%) and grade 2 (26%). The time to onset of diarrhea was ≤30 days in the majority of those affected, but only 2% had drug discontinuation as a consequence. Among the 129 patients in the phase 1 and 2 trials, 57 patients had ≤100,000 platelets; of these 26 (46%) had no CTC grade change in hemoglobin (Hb) and platelet counts from baseline values. Hb and platelet counts improved by one grade in 16% and 18% of patients, respectively. One grade worsening was seen in 28% and 30% in Hb and platelet counts, respectively. Conclusions Pacritinib was well-tolerated in patients with MF, regardless of their baseline platelet counts. Grade 1 or 2 GI toxicities, particularly diarrhea, were the most common AEs. Spleen responses were similar in patients regardless of baseline platelet counts (≥100,000/µL vs. ≤100,000/µL). Notably, even patients with initial platelet counts ≤50,000/µL tolerated therapy and the majority maintained stable hemoglobin and platelet counts. A phase III trial will evaluate pacritinib versus best available therapies in patients with MF and platelet counts ≤100,000/µL. Disclosures: Dean: Cell Therapeutics, Inc: Employment. Cernohous:Cell Therapeutics, Inc: Employment. Mesa:Incyte, CTI, Gilead, Celgene, Genetech, NS Pharma, Lilly: Research Funding. Campbell:Cell Therapeutics, Inc: Employment. Caldwell:Cell Therapeutics, Inc: Employment. Wang:Cell Therapeutics, Inc.: Employment. Myint:Cell Therapeutics, Inc: Employment.

Abstract Introduction: Myelofibrosis (MF) is a life-threatening hematologic malignancy characterized by splenomegaly and debilitating symptoms including fatigue, abdominal pain, night sweats, bone pain, pruritus, and unintentional weight loss. The myeloproliferative neoplasm symptom assessment form (MPN-SAF) is a PRO tool designed to measure MF-related symptom burden and was developed and validated at Mayo Clinic. It was modified (MPN-SAF total symptom score [TSS] and TSS 2.0) for use in the PERSIST-1 and PERSIST-2 phase 3 trials. For PERSIST-1, when examining the 6 common symptoms in both TSS versions (tiredness, night sweats, early satiety, itchiness, bone pain, and abdominal pain), pacritinib-treated patients (pts) had significant improvements in TSS overall and in individual symptoms vs BAT; Pt Global Impression of Change (PGIC) was also significantly improved for pts receiving pacritinib. Improvements in EORTC-QLQ-C30 scales were noted in the pacritinib arm (Mesa, EHA 2015). The proportion of pts achieving spleen volume reduction (SVR) ≥35% at Week 24 was significantly greater with pacritinib vs BAT (ITT: 19.1% vs 4.7%, p=0.0003; evaluable at baseline and Week 24: 25.0% vs 5.9%; p=0.0001). This analysis examines relationships between TSS improvement and changes in splenomegaly and HRQoL outcomes. Methods: Pts who received no prior JAK inhibitor therapy were randomized 2:1 to oral pacritinib 400 mg once daily or BAT. Pts were stratified by DIPSS risk (Int-1/Int-2 vs High) and platelet count (<50,000/μL vs 50,000/μL to <100,000/μL vs ≥100,000/μL). Pts must have had a baseline total TSS ≥13 using MPN-SAF TSS 2.0. Each symptom is rated on a scale from 0 (absent) to 10 (worst imaginable) using MPN-SAF TSS and TSS 2.0. Results for the 6 symptoms common to both TSS versions are reported. Additional PROs used for assessment of HRQoL included EORTC QLQ-C30 and EQ-5D-5L. In multivariate logistic regressions, odds of TSS reduction ≥50% at Week 24 were modeled as a function of Week 24 SVR ≥35%, spleen length reduction (SLR) ≥ 50%, PGIC, improvement in each EORTC scale, and improvement in EQ-5D-5L Overall Health State (OHS) and in each dimension individually while adjusting for treatment (pacritinib vs BAT). Correlations were examined in all pts and by baseline platelet counts (<50,000/μL, <100,000/μL, and ≥100,000/μL). Results: A total of 327 pts were enrolled (PAC: 220, BAT: 107). 62% of pts had primary MF, 32% had baseline platelets <100,000/μL, and 16% had baseline platelets <50,000/μL. TSS reduction ≥50% was found to be associated with SVR ≥35% and improvement in splenomegaly (SLR ≥50%). In the total pt population, there was a significant association between TSS reduction and SVR (odds ratio [OR]=2.60, p=0.016). In all pts, there was a significant association between TSS reduction and improvements in OHS as measured by EQ-5D-5L (OR=2.30, p=0.013). TSS reductions were also marginally associated with improvements in the QLQ-C30 Global Health Scale (GHS)/QoL Scale (OR=1.92, p=0.050) and, though not statistically significant, there was a trend of improvement in perceived overall health as measured by PGIC (OR=2.16, p=0.118). TSS reductions were further examined in pts grouped by baseline platelet count. Improvement in EQ-5D-5L OHS was marginally associated with TSS reductions in pts with platelets <50,000/μL (OR=6.03, p=0.057). For pts with platelets <100,000/μL, reductions in TSS were significantly associated with reductions in splenomegaly (SLR ≥50%; OR=9.53, p=0.004), and improvements in the QLQ-C30 GHS/QoL domain (OR=4.03, p=0.022) as well as the EQ-5D-5L OHS (OR=5.49, p=0.008). A significant association between TSS reductions and SVR ≥35% was observed in pts with platelets ≥100,000/μL (OR=3.99, p=0.005). In all pts, improvements in Fatigue as measured by QLQ-C30 were significantly associated with TSS reductions (OR=2.20, p=0.019) as well as in pts with baseline platelets <50,000/μL (OR=17.88, p=0.008) and <100,000/μL (OR=10.18, p<0.001). Conclusions: In the total pt population, TSS reduction was associated with improvements in spleen response and perceived overall health. This trend was also observed in pts with low baseline platelet counts. Additionally, TSS reduction was significantly associated with improvements in fatigue, a major contributor to poor HRQoL in pts with MF. This reinforces the clinical relevance of measuring TSS using a validated instrument as an endpoint in MF trials. Disclosures Mesa: NS Pharma: Research Funding; Pfizer: Research Funding; Gilead: Research Funding; Incyte Corporation: Research Funding; CTI Biopharma: Research Funding; Novartis Pharmaceuticals Corporation: Consultancy; Genentech: Research Funding; Promedior: Research Funding. Off Label Use: This abstract discusses off-label use of pacritinib. Harrison:Shire: Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau; Gilead: Honoraria; CTI Biopharma: Consultancy, Honoraria, Speakers Bureau; Sanofi: Honoraria, Speakers Bureau. Cervantes:Novartis: Consultancy, Speakers Bureau; Sanofi-Aventis: Consultancy; CTI-Baxter: Consultancy, Speakers Bureau. Dean:CTI Biopharma: Employment, Equity Ownership. Wang:CTI Biopharma: Employment, Equity Ownership. Yang:Baxalta: Employment, Other: Stock. Vannucchi:Shire: Speakers Bureau; Novartis Pharmaceuticals Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Baxalta: Membership on an entity's Board of Directors or advisory committees.

Key Points Pacritinib reduced myelofibrosis-related splenomegaly and patient symptoms without causing clinically significant myelosuppression. Pacritinib had activity and was well tolerated in patients with preexisting anemia and thrombocytopenia.