ArticleScientific reports2026
The SPECT/CT radiomics-based classification of skeletal metastases and benign bone lesions.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
- Cone-beam computed tomography-based radiomic analysis of architectural phenotypes in jaw cysts and tumors using interpretable artificial intelligence models.World journal of radiology · 2026Article
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4 authors.
Funding
Abstract
Hybrid Single Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) improves lesion localization and diagnostic accuracy in detecting skeletal metastases. However, interpretation based on standardized uptake value (SUV) remains suboptimal due to overlapping uptake between benign and malignant lesions. Radiomics quantifies intralesional heterogeneity and may overcome SUV limitations. This study aimed to evaluate whether integrating SPECT/CT radiomics with SUV improves differentiation between skeletal metastases and benign bone lesions. Sixty-three patients who underwent SPECT/CT between September 2021 and March 2024 at Ewha Mokdong Hospital were included. Benign and metastatic lesions were classified based on histopathology or imaging follow-up. Four classification models were developed based on features: (1) SUV
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