ArticleJournal of cancer research and clinical oncology2023
Radiomics‑Clinical model based on
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Global research trends in bone tumors: a bibliometric analysis of medical imaging.Frontiers in oncology · 2025Pooled it
- An interpretable radiomics-deep learning nomogram from whole-body bone scintigraphy for MDP-avid bone metastasis prediction in NSCLC.Journal of applied clinical medical physics · 2026Article
- Phylogeography of Bone Metastasis: Clonal Evolution, Skeletal Niche Adaptation, and Clinical Implications.International journal of molecular sciences · 2026Review
- Leveraging the non-contrast CT component of PET/CT: an AI-driven delta-radiomics approach to monitor treatment response in metastatic breast cancer.BMC medical imaging · 2026Article
- The SPECT/CT radiomics-based classification of skeletal metastases and benign bone lesions.Scientific reports · 2026Article
- Differentiating between benign and malignant bone lesions: The value of using SPECT/CT.Radiology case reports · 2026Article
- Diagnostic value of quantitative SPECT/CT integrated parameters for differentiating spinal tuberculosis from spinal metastases.Frontiers in oncology · 2026Article
- Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine.Nature reviews. Clinical oncology · 2025Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundTo establish a radiomics-clinical model based on
methodsWe retrospectively analyzed 256 patients (122 with bone metastasis and 134 with benign bone disease) and randomized them in the ratio of 6:2:2 into training, test and validation sets. All patients underwent
resultsThe radiomics-clinical displayed excellent performance, and its AUC was 0.941 and 0.879 in the training and test sets. The DCA of radiomics-clinical model showed the highest clinical utility.
conclusionsThe radiomics-clinical nomogram for identifying bone metastasis and benign bone disease in tumor patients was suitable to assist in clinical decision.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.