Prediction of WHO/ISUP Grading of Renal Clear Cell Carcinoma by Quantitative Parameters of CT Enhancement Scanning
Objective: To investigate the potential of CT-enhanced quantitative parameters for preoperative prediction of WHO/ISUP grading for renal clear cell carcinoma (ccRCC). Methods: The study involved collecting clinical and CT-enhanced data of 98 patients with ccRCC, who were then classified into low lev...
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Format: | Article |
Language: | English |
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Editorial Office of Computerized Tomography Theory and Application
2023-11-01
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Series: | CT Lilun yu yingyong yanjiu |
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Online Access: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2022.253 |
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author | Xiaojin ZHANG Jian ZHAI Hu ZHANG Min XIE Shujian WU Yong GUO |
author_facet | Xiaojin ZHANG Jian ZHAI Hu ZHANG Min XIE Shujian WU Yong GUO |
author_sort | Xiaojin ZHANG |
collection | DOAJ |
description | Objective: To investigate the potential of CT-enhanced quantitative parameters for preoperative prediction of WHO/ISUP grading for renal clear cell carcinoma (ccRCC). Methods: The study involved collecting clinical and CT-enhanced data of 98 patients with ccRCC, who were then classified into low level group (76 cases) and high level group (22 cases) based on the WHO/ISUP classification. Differences in CT-enhanced quantitative parameters between the two groups were compared, and the diagnostic efficacy of each parameter for predicting ccRCC WHO/ISUP grading was evaluated. External verification was conducted to identify CT-enhanced quantitative parameters with the best generalization ability. Results: There were significant differences in the CT value, net increment, and enhancement rate in both cortical and substantive phases between the two groups. The AUC values were 0.834, 0.871, 0.900, 0.707, 0.678, and 0.762, respectively. The cut-off values were 123.5 HU, 71 HU, 0.73, 87.5 HU, 54 HU, 0.67, respectively. The diagnostic efficacy of cortical enhancement rate was the highest with an AUC of 0.900, a sensitivity of 0.842, and a specificity of 0.864. The external validation results revealed that the diagnostic efficacy of cortical phase enhancement rate (AUC=0.867) was better than that of cortical phase CT (AUC=0.735) and cortical phase net increment (AUC=0.709). The Z values were 2.134 and 2.417, respectively. Conclusion: The quantitative parameters of CT enhancement can be used to predict ccRCC WHO/ISUP grading. Cortical phase enhancement rate is the parameter with the highest diagnostic efficiency and the best generalization ability. |
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language | English |
last_indexed | 2024-03-09T14:13:07Z |
publishDate | 2023-11-01 |
publisher | Editorial Office of Computerized Tomography Theory and Application |
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series | CT Lilun yu yingyong yanjiu |
spelling | doaj.art-ce0a2477633a49b0964deb29747f66282023-11-29T06:06:17ZengEditorial Office of Computerized Tomography Theory and ApplicationCT Lilun yu yingyong yanjiu1004-41402023-11-0132674675210.15953/j.ctta.2022.2532022-253Prediction of WHO/ISUP Grading of Renal Clear Cell Carcinoma by Quantitative Parameters of CT Enhancement ScanningXiaojin ZHANGJian ZHAIHu ZHANGMin XIEShujian WUYong GUOObjective: To investigate the potential of CT-enhanced quantitative parameters for preoperative prediction of WHO/ISUP grading for renal clear cell carcinoma (ccRCC). Methods: The study involved collecting clinical and CT-enhanced data of 98 patients with ccRCC, who were then classified into low level group (76 cases) and high level group (22 cases) based on the WHO/ISUP classification. Differences in CT-enhanced quantitative parameters between the two groups were compared, and the diagnostic efficacy of each parameter for predicting ccRCC WHO/ISUP grading was evaluated. External verification was conducted to identify CT-enhanced quantitative parameters with the best generalization ability. Results: There were significant differences in the CT value, net increment, and enhancement rate in both cortical and substantive phases between the two groups. The AUC values were 0.834, 0.871, 0.900, 0.707, 0.678, and 0.762, respectively. The cut-off values were 123.5 HU, 71 HU, 0.73, 87.5 HU, 54 HU, 0.67, respectively. The diagnostic efficacy of cortical enhancement rate was the highest with an AUC of 0.900, a sensitivity of 0.842, and a specificity of 0.864. The external validation results revealed that the diagnostic efficacy of cortical phase enhancement rate (AUC=0.867) was better than that of cortical phase CT (AUC=0.735) and cortical phase net increment (AUC=0.709). The Z values were 2.134 and 2.417, respectively. Conclusion: The quantitative parameters of CT enhancement can be used to predict ccRCC WHO/ISUP grading. Cortical phase enhancement rate is the parameter with the highest diagnostic efficiency and the best generalization ability.https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2022.253tomographyx-ray computerclear cell renal carcinomapathological grading |
spellingShingle | Xiaojin ZHANG Jian ZHAI Hu ZHANG Min XIE Shujian WU Yong GUO Prediction of WHO/ISUP Grading of Renal Clear Cell Carcinoma by Quantitative Parameters of CT Enhancement Scanning CT Lilun yu yingyong yanjiu tomography x-ray computer clear cell renal carcinoma pathological grading |
title | Prediction of WHO/ISUP Grading of Renal Clear Cell Carcinoma by Quantitative Parameters of CT Enhancement Scanning |
title_full | Prediction of WHO/ISUP Grading of Renal Clear Cell Carcinoma by Quantitative Parameters of CT Enhancement Scanning |
title_fullStr | Prediction of WHO/ISUP Grading of Renal Clear Cell Carcinoma by Quantitative Parameters of CT Enhancement Scanning |
title_full_unstemmed | Prediction of WHO/ISUP Grading of Renal Clear Cell Carcinoma by Quantitative Parameters of CT Enhancement Scanning |
title_short | Prediction of WHO/ISUP Grading of Renal Clear Cell Carcinoma by Quantitative Parameters of CT Enhancement Scanning |
title_sort | prediction of who isup grading of renal clear cell carcinoma by quantitative parameters of ct enhancement scanning |
topic | tomography x-ray computer clear cell renal carcinoma pathological grading |
url | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2022.253 |
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