ArticleMedComm2025
A Combined Model Based on Bone Mineral Density for Noninvasive Prediction of Prognosis in Non-Small Cell Lung Cancer Patients Receiving Immune Checkpoint Inhibitors: A Multicenter Retrospective Study.
Article in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- AI-driven body composition atlas reveals its association with NSCLC immunotherapy outcome and molecular background: a multicenter study.NPJ precision oncology · 2026Article
- Artificial intelligence in multidisciplinary tumor boards enhancing decision making and clinical outcomes in oncology.iScience · 2025Review
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Authors and funding
17 authors.
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Abstract
The prognostic value of baseline bone mineral density (BMD) and posttreatment BMD decrease (BMDD) in non-small cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitor (ICI) treatment remains unclear. We assembled data of 2096 patients with advanced NSCLC from five institutions to develop a combined model incorporating BMD/BMDD and clinical characteristics for noninvasive prognosis prediction. BMD was automatically assessed using a deep learning-based method. Compared with the physiological BMD group and the non-severe BMDD group, the pathological BMD group and the severe BMDD group had shorter progression-free survival (PFS) (hazard ratio [HR]: 1.19,
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