ArticleOrthopedic research and reviews2025
Opportunistic Screening with Radiomics Model Based on CT Imaging of Adrenal Adenoma to Assess Bone Mass Change.
Article in Orthopedic research and reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence for opportunistic screening of osteoporosis across multiple imaging modalities: a systematic review.Frontiers in medicine · 2026Pooled it
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: There was a strong correlation between adrenal adenoma and osteoporosis, the primary objective of this research was to establish and authenticate a radiomics nomogram using CT scan of adrenal adenoma to screen abnormal bone mineral density (BMD) opportunistically. Methods and Materials: A total of 161 patients with adrenal adenomas who underwent thoracoabdominal CT and quantitative CT (QCT) were enrolled retrospectively. The radiomics features were chosen from the cross-sectional CT images of adrenal adenomas and the nomogram models that including patient's clinical and radiomics features were then established. The receiver operating characteristic (ROC) curve was performed to evaluate the performance of the model and the decision curve analysis (DCA) was used to assess the clinical usefulness. Results: To build a radiomics model, 11 radiomics features based on CT scans of adrenal adenomas were selected and showed good performance in distinguishing abnormal BMD from normal BMD. Moreover, the radiomics nomogram model demonstrated excellent ability to identify abnormal BMD of adrenal adenoma patients with area under the curve (AUC) of 0.87 (95% CI, 0.80-0.93) in training cohort and 0.85 (95% CI, 0.74-0.96) in validation cohort. The accuracy, sensitivity, specificity of the nomogram model were 79.7%, 78.3%, 81.1% in training cohort, and 72.9%, 67.7%, 82.4% in validation cohort respectively. Conclusion: The radiomics nomogram based on clinical and radiomics features of adrenal adenoma CT images had a satisfying predictive ability and can be an opportunistic effective tool for identifying bone mass change.
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