ArticleNuclear medicine and molecular imaging2025
Accuracy of an Automated Bone Scan Index Measurement System Enhanced by Deep Learning of the Female Skeletal Structure in Patients with Breast Cancer.
Article in Nuclear medicine and molecular imaging, 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.
- Comparison of Diagnostic Performance of Whole-Body 360° CZT Bone SPECT/CT and Planar Bone Scintigraphy in Detecting Bone Metastasis in Small Cell Lung Cancer.Diagnostics (Basel, Switzerland) · 2026Article
- Feasibility of No-Code Deep Learning for Diagnosing Bone Metastasis in Bone Scans: A Comparative Study of Teachable Machine and ResNet.Journal of imaging informatics in medicine · 2026Article
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10 authors.
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Abstract
Purpose: VSBONE Methods: In total, 220 Japanese patients with breast cancer who underwent bone scintigraphy with single-photon emission computed tomography/computed tomography (SPECT/CT) were retrospectively analyzed. The patients were diagnosed with active bone metastases ( Results: VSBONE ver.2 and VSBONE ver.3 had segmentation errors in four and two patients. Significant positive linear correlations were confirmed in both versions of the BSI ( Conclusion: The diagnostic accuracy of VSBONE was improved through deep learning of the female skeletal structures. The updated VSBONE ver.3 can be a reliable automated system for measuring BSI in patients with breast cancer.
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