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SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I Chondrosarcoma
Hyukjin Yoon1, Woo Hee Choi1, Min Wook Joo2
1Division of Nuclear Medicine, Department of Radiology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
SPECT/CT radiomics can help distinguish enchondromas from atypical cartilaginous tumors (ACTs). The radiomics feature zone-length non-uniformity (ZLNUGLZLM) showed high accuracy in predicting ACTs in long bones.
Area of Science:
- Medical Imaging
- Radiology
- Oncology
Background:
- Differentiating enchondromas from atypical cartilaginous tumors (ACTs) is crucial for appropriate patient management.
- Current diagnostic methods may have limitations in distinguishing these bone lesions.
- Radiomics analysis of SPECT/CT scans offers a novel approach for quantitative assessment.
Purpose of the Study:
- To evaluate the efficacy of SPECT/CT radiomics parameters in differentiating enchondromas from ACTs in long bones.
- To identify specific radiomics features predictive of ACTs.
Main Methods:
- Retrospective analysis of quantitative HDP SPECT/CT data from 49 patients with enchondromas or ACTs.
- Patients were divided into training (n=32) and testing (n=17) datasets.
- LASSO regression was used for feature selection, followed by multivariate analysis to assess predictive value.
Main Results:
- Two radiomics features, zone-length non-uniformity (ZLNUGLZLM) and coarseness (CoarsenessNGLDM), were selected.
- Higher ZLNUGLZLM was identified as the sole significant independent predictor of ACTs.
- In the test dataset, ZLNUGLZLM demonstrated high sensitivity (83.3%) and specificity (90.9%) for ACT diagnosis.
Conclusions:
- HDP SPECT/CT radiomics, particularly ZLNUGLZLM, shows significant potential in differentiating enchondromas from ACTs.
- This quantitative imaging approach may enhance diagnostic accuracy for bone tumors.
- Further validation in larger cohorts is warranted.
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