The Value of Dual-Energy Computed Tomography-Based Radiomics in the Evaluation of Interstitial Fibers of Clear Cell Renal Carcinoma
Objective We investigated the potential of dual-energy computed tomography (DECT) radiomics in assessing cancer-associated fibroblasts in clear cell renal carcinoma (ccRCC). Methods A retrospective analysis was conducted on 132 patients with ccRCC. The arterial and venous phase iodine-based material...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2024-02-01
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| Series: | Technology in Cancer Research & Treatment |
| Online Access: | https://doi.org/10.1177/15330338241235554 |
| _version_ | 1827341434113490944 |
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| author | Xue Bing MM Ning Wang MM Yuhan Li MB Haitao Sun PhD Jian Yao PhD Ruobing Li MM Zhongyuan Li MM Aimei Ouyang PhD |
| author_facet | Xue Bing MM Ning Wang MM Yuhan Li MB Haitao Sun PhD Jian Yao PhD Ruobing Li MM Zhongyuan Li MM Aimei Ouyang PhD |
| author_sort | Xue Bing MM |
| collection | DOAJ |
| description | Objective We investigated the potential of dual-energy computed tomography (DECT) radiomics in assessing cancer-associated fibroblasts in clear cell renal carcinoma (ccRCC). Methods A retrospective analysis was conducted on 132 patients with ccRCC. The arterial and venous phase iodine-based material decomposition images (IMDIs), virtual non-contrast images, 70 keV, 100 keV, and 150 keV virtual monoenergetic images, and mixed energy images (MEIs) were obtained from the DECT datasets. On the Radcloud platform, radiomics feature extraction, feature selection, and model establishment were performed. Seven radiomics models were established using the support vector machine. The predictive performance was evaluated by utilizing receiver operating characteristic and the area under the curve (AUC) was calculated. Nomograms were constructed. Results The combined model demonstrated high efficiency in evaluating pseudocapsule thickness with AUC, specificity, and sensitivity of 0.833, 0.870, and 0.750, respectively in the validation set, surpassing those of other models. The precision, F1-score, and Youden index were also higher for the combined model. For evaluating the number of collagen fibers, the combined model exhibited the highest AUC (0.741) among all models, with a specificity of 0.830 and a sensitivity of 0.330. The AUC in the 150 kv model and IMDI model were slightly lower than those in the combined model (0.728 and 0.710, respectively), with corresponding sensitivity and specificity of 0.560/0.780 and 0.670/0.830. The nomogram exhibited that Rad-score had good prediction efficiency. Conclusion DECT radiomics features have significant value in evaluating the interstitial fibers of ccRCC. The combined model of IMDI + MEI exhibits superior performance in assessing the thickness of the pseudocapsule, while the combined, 150 keV, and IMDI models demonstrate higher efficacy in evaluating collagen fiber number. Radiomics, combined with imaging features and clinical features, has excellent predictive performance. These findings offer crucial support for the clinical diagnosis, treatment, and prognosis of ccRCC and provide valuable insights into the application of DECT. |
| first_indexed | 2024-03-07T21:40:57Z |
| format | Article |
| id | doaj.art-ea700c4b6a21493eb5193992b3d0e26c |
| institution | Directory Open Access Journal |
| issn | 1533-0338 |
| language | English |
| last_indexed | 2024-03-07T21:40:57Z |
| publishDate | 2024-02-01 |
| publisher | SAGE Publishing |
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| series | Technology in Cancer Research & Treatment |
| spelling | doaj.art-ea700c4b6a21493eb5193992b3d0e26c2024-02-26T10:03:47ZengSAGE PublishingTechnology in Cancer Research & Treatment1533-03382024-02-012310.1177/15330338241235554The Value of Dual-Energy Computed Tomography-Based Radiomics in the Evaluation of Interstitial Fibers of Clear Cell Renal CarcinomaXue Bing MM0Ning Wang MM1Yuhan Li MB2Haitao Sun PhD3Jian Yao PhD4Ruobing Li MM5Zhongyuan Li MM6Aimei Ouyang PhD7 Department of Radiology, Central Hospital Affiliated to , Jinan Central Hospital, Jinan, P.R. China Department of Radiology, Central Hospital Affiliated to , Jinan Central Hospital, Jinan, P.R. China Department of Radiology, Longkou Traditional Chinese Medicine Hospital, Yantai, P.R. China Department of Radiology, Central Hospital Affiliated to , Jinan Central Hospital, Jinan, P.R. China Department of Radiology, Central Hospital Affiliated to , Jinan Central Hospital, Jinan, P.R. China Department of Radiology, Shandong First Medical University, Jinan, P.R. China School of Medical Imaging, , Weifang, P.R. China Department of Radiology, Central Hospital Affiliated to , Jinan Central Hospital, Jinan, P.R. ChinaObjective We investigated the potential of dual-energy computed tomography (DECT) radiomics in assessing cancer-associated fibroblasts in clear cell renal carcinoma (ccRCC). Methods A retrospective analysis was conducted on 132 patients with ccRCC. The arterial and venous phase iodine-based material decomposition images (IMDIs), virtual non-contrast images, 70 keV, 100 keV, and 150 keV virtual monoenergetic images, and mixed energy images (MEIs) were obtained from the DECT datasets. On the Radcloud platform, radiomics feature extraction, feature selection, and model establishment were performed. Seven radiomics models were established using the support vector machine. The predictive performance was evaluated by utilizing receiver operating characteristic and the area under the curve (AUC) was calculated. Nomograms were constructed. Results The combined model demonstrated high efficiency in evaluating pseudocapsule thickness with AUC, specificity, and sensitivity of 0.833, 0.870, and 0.750, respectively in the validation set, surpassing those of other models. The precision, F1-score, and Youden index were also higher for the combined model. For evaluating the number of collagen fibers, the combined model exhibited the highest AUC (0.741) among all models, with a specificity of 0.830 and a sensitivity of 0.330. The AUC in the 150 kv model and IMDI model were slightly lower than those in the combined model (0.728 and 0.710, respectively), with corresponding sensitivity and specificity of 0.560/0.780 and 0.670/0.830. The nomogram exhibited that Rad-score had good prediction efficiency. Conclusion DECT radiomics features have significant value in evaluating the interstitial fibers of ccRCC. The combined model of IMDI + MEI exhibits superior performance in assessing the thickness of the pseudocapsule, while the combined, 150 keV, and IMDI models demonstrate higher efficacy in evaluating collagen fiber number. Radiomics, combined with imaging features and clinical features, has excellent predictive performance. These findings offer crucial support for the clinical diagnosis, treatment, and prognosis of ccRCC and provide valuable insights into the application of DECT.https://doi.org/10.1177/15330338241235554 |
| spellingShingle | Xue Bing MM Ning Wang MM Yuhan Li MB Haitao Sun PhD Jian Yao PhD Ruobing Li MM Zhongyuan Li MM Aimei Ouyang PhD The Value of Dual-Energy Computed Tomography-Based Radiomics in the Evaluation of Interstitial Fibers of Clear Cell Renal Carcinoma Technology in Cancer Research & Treatment |
| title | The Value of Dual-Energy Computed Tomography-Based Radiomics in the Evaluation of Interstitial Fibers of
Clear Cell Renal Carcinoma |
| title_full | The Value of Dual-Energy Computed Tomography-Based Radiomics in the Evaluation of Interstitial Fibers of
Clear Cell Renal Carcinoma |
| title_fullStr | The Value of Dual-Energy Computed Tomography-Based Radiomics in the Evaluation of Interstitial Fibers of
Clear Cell Renal Carcinoma |
| title_full_unstemmed | The Value of Dual-Energy Computed Tomography-Based Radiomics in the Evaluation of Interstitial Fibers of
Clear Cell Renal Carcinoma |
| title_short | The Value of Dual-Energy Computed Tomography-Based Radiomics in the Evaluation of Interstitial Fibers of
Clear Cell Renal Carcinoma |
| title_sort | value of dual energy computed tomography based radiomics in the evaluation of interstitial fibers of clear cell renal carcinoma |
| url | https://doi.org/10.1177/15330338241235554 |
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