Akıncı Özlem, Türkoglu Furkan, Nalbant Mustafa Orhan, Öner Özkan, İnci Ercan
Bakırköy Dr Sadi Konuk Training and Research Hospital, Department of Radiology, Istanbul, Turkey.
Bakırköy Dr Sadi Konuk Training and Research Hospital, Department of Radiology, Istanbul, Turkey.
Acad Radiol. 2023 Sep;30 Suppl 1:S278-S285. doi: 10.1016/j.acra.2023.03.029. Epub 2023 Apr 25.
This study investigated the utility of histogram parameters derived from diffusion-weighted imaging (DWI) for evaluating renal cell carcinoma (RCC) grading prior to surgery.
This retrospective study included 88 patients who were histopathologically diagnosed with RCC and underwent magnetic resonance imaging (MRI) examinations. The patients were divided into two groups as well-differentiated (Group 1) and poorly differentiated (Group 2). Demographic data, preoperative MRI findings, MRI apparent diffusion coefficient (ADC) histogram analyzes, operation types, postoperative histopathological data and cancer stages of the patients were recorded. The histogram parameters of ADC values, comprising the mean, minimum, maximum, 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles, as well as skewness, kurtosis, and variance, were calculated.
The study included 59 males and 29 women with an average age of 56.21 ± 1.33 years. There were 52 patients in Group 1 and 36 patients in Group 2. The ADCmin, ADCmean, ADCmax, 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles of ADC values of the poorly differentiated group were all lower than those of the well-differentiated group. ADCmin and the 5th percentile of ADC values, as well as ADCmean and the 10th, 25th, 50th, and 75th percentiles of ADC values, showed a statistically significant difference (p < 0.05). The AUC, sensitivity, and specificity of the ADCmin value were 0.703, 56.3%, and 75.7%, respectively.
The present study indicated that histogram parameters generated from DWI were capable of differentiating between high-grade and low-grade RCC.
本研究探讨了扩散加权成像（DWI）衍生的直方图参数在术前评估肾细胞癌（RCC）分级中的应用价值。
本回顾性研究纳入了88例经组织病理学诊断为RCC并接受磁共振成像（MRI）检查的患者。患者分为高分化组（第1组）和低分化组（第2组）。记录患者的人口统计学数据、术前MRI表现、MRI表观扩散系数（ADC）直方图分析、手术类型、术后组织病理学数据和癌症分期。计算ADC值的直方图参数，包括均值、最小值、最大值、第5、第10、第25、第50、第75、第90和第95百分位数，以及偏度、峰度和方差。
本研究包括59例男性和29例女性，平均年龄为56.21±1.33岁。第1组有52例患者，第2组有36例患者。低分化组ADC值的ADCmin、ADCmean、ADCmax、第5、第10、第25、第50、第75、第90和第95百分位数均低于高分化组。ADCmin和ADC值的第5百分位数，以及ADCmean和ADC值的第10、第25、第50和第75百分位数，差异有统计学意义（p<0.05）。ADCmin值的AUC、敏感性和特异性分别为0.703、56.3%和75.7%。
本研究表明，DWI生成的直方图参数能够区分高分级和低分级RCC。
