常规基于 ROI 的与 CT 增强后容积直方图分析在鉴别良恶性肾肿瘤中的对比研究。
Comparative study of conventional ROI-based and volumetric histogram analysis derived from CT enhancement in differentiating malignant and benign renal tumors.
机构信息
Department of Medical Imaging, Clinical Medical College, Yangzhou University, Yangzhou, China.
出版信息
Br J Radiol. 2022 Jul 1;95(1135):20210801. doi: 10.1259/bjr.20210801. Epub 2022 Mar 31.
OBJECTIVE
To quantitatively compare the diagnostic values of conventional region of interest (ROI)-based and volumetric histogram analysis derived from CT enhancement in differentiating malignant and benign renal tumors.
METHODS
A total of 230 patients with pathologically confirmed renal tumors who had undergone CT enhancement were classified into clear cell renal cell carcinoma (ccRCC) ( = 133), non-ccRCC ( = 56), and benign renal tumor( = 41) group. Parametric CT enhancement of each tumor from volumetric histogram were obtained using in-house software, including 10th percentile, 25th percentile, median, 75th percentile, 90th percentile, mean, standard deviation, as well as skewness, kurtosis and entropy, and histogram metrics among these groups were analyzed. ROI-based enhancement density was also analyzed.
RESULTS
The entropy and SD values of ccRCCs were higher than those of non-ccRCCs and benign renal tumors ( < 0.05). The 10th percentile, 25th percentile, median, 75th percentile, 90th percentile and mean values of ccRCCs were lower than those of benign renal tumors, however, higher than those of non-ccRCCs ( < 0.05). The ROI-based enhancement density of non-ccRCCs were lower than those of ccRCCs and benign renal tumors( < 0.05). Receiver operating characteristic (ROC) curve analyses showed that entropy and mean values had the highest diagnostic efficacy in differentiating ccRCCs/non-ccRCCs and benign renal tumors. ROC curve analyses showed that mean values had the highest diagnostic efficacy in differentiating ccRCCs and non-ccRCCs. In terms of pairwise comparisons of ROC curves and diagnostic efficacy, ROI-based CT enhancement density was worse than volumetric histogram analysis ( < 0.05).
CONCLUSION
Volumetric histogram analysis parameters can effectively distinguish malignant and benign renal tumors.
ADVANCES IN KNOWLEDGE
- Entropy and mean values had the highest diagnostic efficacy in differentiating ccRCCs/ non-ccRCCs and benign renal tumors.2. Mean values had the highest diagnostic efficacy in differentiating ccRCCs and non-ccRCCs.3.Volumetric histogram analysis had better performance than ROI-based enhancement density.
目的
定量比较基于传统感兴趣区（ROI）和 CT 增强容积直方图分析在鉴别良恶性肾肿瘤中的诊断价值。
方法
对 230 例经病理证实的肾肿瘤患者的 CT 增强资料进行回顾性分析，根据病理结果分为透明细胞肾细胞癌（ccRCC）（n=133）、非 ccRCC（n=56）和良性肿瘤（n=41）组。应用自制软件获得容积直方图中各肿瘤的参数 CT 增强值，包括第 10 百分位数、第 25 百分位数、中位数、第 75 百分位数、第 90 百分位数、平均值、标准差，以及偏度、峰度和熵，比较组间直方图参数。同时分析 ROI 增强密度。
结果
ccRCC 的熵和 SD 值高于非 ccRCC 和良性肿瘤（<0.05）。ccRCC 的第 10 百分位数、第 25 百分位数、中位数、第 75 百分位数、第 90 百分位数和平均值均低于良性肿瘤，而高于非 ccRCC（<0.05）。非 ccRCC 的 ROI 增强密度低于 ccRCC 和良性肿瘤（<0.05）。受试者工作特征（ROC）曲线分析显示，熵和平均值在鉴别 ccRCC/非 ccRCC 和良性肿瘤方面具有最高的诊断效能。ROC 曲线分析显示，平均值在鉴别 ccRCC 和非 ccRCC 方面具有最高的诊断效能。在 ROC 曲线和诊断效能的两两比较方面，ROI 增强密度比容积直方图分析差（<0.05）。
结论
容积直方图分析参数可有效鉴别良恶性肾肿瘤。
知识进展
- 熵和平均值在鉴别 ccRCC/非 ccRCC 和良性肿瘤方面具有最高的诊断效能。2. 平均值在鉴别 ccRCC 和非 ccRCC 方面具有最高的诊断效能。3. 容积直方图分析的性能优于 ROI 增强密度。
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