ArticleEuropean radiology2024
Spectral CT assists differentiation of osteoblastic bone metastasis from bone island in newly diagnosed cancer patients.
Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- The performance ofScientific reports · 2026Article
- The Applications of Spectral CT in Interventional Radiology: Innovations in Diagnosis and Intra-procedural Guidance.Cardiovascular and interventional radiology · 2026Review
- Diagnostic accuracy of dual-layer spectral CT for osteolytic vertebral metastases.Skeletal radiology · 2026Article
- Establishment an early precise diagnosis model for bone metastasis in lung cancer based on driver gene types.American journal of cancer research · 2026Article
- Diagnostic performance of dual-layer spectral CT Radiomics and deep learning for differentiating osteoblastic bone metastases from bone islands.European journal of radiology open · 2025Article
- Unveiling Primary Bone Tumors of the Spine: A Review of Essential Imaging Clues.Diagnostics (Basel, Switzerland) · 2025Review
- Potential of spectral imaging generated by contrast-enhanced dual-energy CT for lung cancer histopathological classification - A preliminary study.European journal of radiology open · 2025Article
- A spectral CT-derived metrics-based radiomics model in differentiatingFrontiers in oncology · 2025Article
- Correlation between vertebral bone mineral density and multi-level virtual non-calcium imaging parameters from dual-layer spectral detector computed tomography.Quantitative imaging in medicine and surgery · 2024Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
objectivesTo investigate measurements derived from plain and enhanced spectral CT in differentiating osteoblastic bone metastasis (OBM) from bone island (BI). MATERIALS AND
methodsFrom January to November 2020, 73 newly diagnosed cancer patients with 201 bone lesions (OBM = 92, BI = 109) having received spectral CT were retrospectively enrolled. Measurements including CT values of 40-140 keV, slope of the spectral curve, effective atomic number (Z
resultsAll features were significantly different between the BI group and OBM group (all p < 0.05), highly correlated with the corresponding features between plain and enhanced spectral CT both in OBM (r: 0.392-0.763) and BI (r: 0.430-0.544). As for the model performance, the combined model achieved the best performance (AUC = 0.925, 95% CI: 0.879 to 0.957), which significantly outperformed the plain spectral CT model (AUC = 0.815, 95% CI: 0.754 to 0.866, p < 0.001) and enhanced spectral CT model (AUC = 0.901, 95% CI: 0.852 to 0.939, p = 0.024) in differentiating OBM and BI.
conclusionIn addition to plain spectral CT measurements, enhanced spectral CT measurements would further significantly benefit the differential diagnosis. CLINICAL RELEVANCE STATEMENT: Measurements derived either from plain or enhanced spectral CT could provide additional valuable information to improve the differential diagnosis between OBM and BI in newly diagnosed cancer patients. KEY POINTS: • We intend to investigate plain and enhanced spectral CT measurements in differentiating OBM from BI. • Both plain and enhanced spectral CT help in discriminating OBM and BI in newly diagnosed cancer patients. • Enhanced spectral CT measurements further improve plain spectral CT measurements-based differential diagnosis.
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