SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I Chondrosarcoma
This study was performed to assess the value of SPECT/CT radiomics parameters in differentiating enchondroma and atypical cartilaginous tumors (ACTs) located in the long bones. Quantitative HDP SPECT/CT data of 49 patients with enchondromas or ACTs in the long bones were retrospectively reviewed. Pa...
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MDPI AG
2023-10-01
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| Series: | Tomography |
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| Online Access: | https://www.mdpi.com/2379-139X/9/5/148 |
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| author | Hyukjin Yoon Woo Hee Choi Min Wook Joo Seunggyun Ha Yong-An Chung |
| author_facet | Hyukjin Yoon Woo Hee Choi Min Wook Joo Seunggyun Ha Yong-An Chung |
| author_sort | Hyukjin Yoon |
| collection | DOAJ |
| description | This study was performed to assess the value of SPECT/CT radiomics parameters in differentiating enchondroma and atypical cartilaginous tumors (ACTs) located in the long bones. Quantitative HDP SPECT/CT data of 49 patients with enchondromas or ACTs in the long bones were retrospectively reviewed. Patients were randomly split into training (<i>n</i> = 32) and test (<i>n</i> = 17) data, and SPECT/CT radiomics parameters were extracted. In training data, LASSO was employed for feature reduction. Selected parameters were compared with classic quantitative parameters for the prediction of diagnosis. Significant parameters from training data were again tested in the test data. A total of 12 (37.5%) and 6 (35.2%) patients were diagnosed as ACTs in training and test data, respectively. LASSO regression selected two radiomics features, zone-length non-uniformity for zone (ZLNU<sub>GLZLM</sub>) and coarseness for neighborhood grey-level difference (Coarseness<sub>NGLDM</sub>). Multivariate analysis revealed higher ZLNU<sub>GLZLM</sub> as the only significant independent factor for the prediction of ACTs, with sensitivity and specificity of 85.0% and 58.3%, respectively, with a cut-off value of 191.26. In test data, higher ZLNU<sub>GLZLM</sub> was again associated with the diagnosis of ACTs, with sensitivity and specificity of 83.3% and 90.9%, respectively. HDP SPECT/CT radiomics may provide added value for differentiating between enchondromas and ACTs. |
| first_indexed | 2024-03-10T20:51:14Z |
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| last_indexed | 2024-03-10T20:51:14Z |
| publishDate | 2023-10-01 |
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| series | Tomography |
| spelling | doaj.art-c57a2fa9f3c64bbd92bf672f10e655e72023-11-19T18:21:02ZengMDPI AGTomography2379-13812379-139X2023-10-01951868187510.3390/tomography9050148SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I ChondrosarcomaHyukjin Yoon0Woo Hee Choi1Min Wook Joo2Seunggyun Ha3Yong-An Chung4Division of Nuclear Medicine, Department of Radiology, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDivision of Nuclear Medicine, Department of Radiology, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Orthopedic Surgery, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDivision of Nuclear Medicine, Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDivision of Nuclear Medicine, Department of Radiology, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaThis study was performed to assess the value of SPECT/CT radiomics parameters in differentiating enchondroma and atypical cartilaginous tumors (ACTs) located in the long bones. Quantitative HDP SPECT/CT data of 49 patients with enchondromas or ACTs in the long bones were retrospectively reviewed. Patients were randomly split into training (<i>n</i> = 32) and test (<i>n</i> = 17) data, and SPECT/CT radiomics parameters were extracted. In training data, LASSO was employed for feature reduction. Selected parameters were compared with classic quantitative parameters for the prediction of diagnosis. Significant parameters from training data were again tested in the test data. A total of 12 (37.5%) and 6 (35.2%) patients were diagnosed as ACTs in training and test data, respectively. LASSO regression selected two radiomics features, zone-length non-uniformity for zone (ZLNU<sub>GLZLM</sub>) and coarseness for neighborhood grey-level difference (Coarseness<sub>NGLDM</sub>). Multivariate analysis revealed higher ZLNU<sub>GLZLM</sub> as the only significant independent factor for the prediction of ACTs, with sensitivity and specificity of 85.0% and 58.3%, respectively, with a cut-off value of 191.26. In test data, higher ZLNU<sub>GLZLM</sub> was again associated with the diagnosis of ACTs, with sensitivity and specificity of 83.3% and 90.9%, respectively. HDP SPECT/CT radiomics may provide added value for differentiating between enchondromas and ACTs.https://www.mdpi.com/2379-139X/9/5/148HDP bone SPECT/CTradiomicsenchondromaschondrosarcoma |
| spellingShingle | Hyukjin Yoon Woo Hee Choi Min Wook Joo Seunggyun Ha Yong-An Chung SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I Chondrosarcoma Tomography HDP bone SPECT/CT radiomics enchondromas chondrosarcoma |
| title | SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I Chondrosarcoma |
| title_full | SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I Chondrosarcoma |
| title_fullStr | SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I Chondrosarcoma |
| title_full_unstemmed | SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I Chondrosarcoma |
| title_short | SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I Chondrosarcoma |
| title_sort | spect ct radiomics for differentiating between enchondroma and grade i chondrosarcoma |
| topic | HDP bone SPECT/CT radiomics enchondromas chondrosarcoma |
| url | https://www.mdpi.com/2379-139X/9/5/148 |
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