Akinci Ozlem, Turkoglu Furkan, Nalbant Mustafa Orhan, Inci Ercan
Department of Radiology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkiye.
North Clin Istanb. 2023 Sep 27;10(5):636-641. doi: 10.14744/nci.2023.26122. eCollection 2023.
In this study, the utility of histogram parameters derived from diffusion-weighted imaging for differentiate renal cell carcinoma (RCC) from oncocytoma was investigated.
This research tracked 126 individuals who were diagnosed with RCC and oncocytoma through histopathological analysis, using magnetic resonance imaging (MRI) assessments from 2015 to 2023. We observed various attributes of these patients, including demographic details, surgical records, pre-surgery MRI results, MRI apparent diffusion coefficient (ADC) histogram analysis, and post-surgery histopathological outcomes. Calculations of ADC measurements such as mean, minimum, and maximum in conjunction with the 5, 10, 25, 50, 75, 90, and 95 quantile points were made. In addition, we also noted the skewness, kurtosis, and variance of these data points.
The focus group for this investigation consisted of 75 male and 51 female patients. Out of these, 82 were diagnosed with RCC and 44 with oncocytoma. All ADC parameters including ADCmin, ADCmedian, ADCmean, and ADCmax, including the 5, 10, 25, 50, 75, 90, and 95 quantile divisions among the oncocytoma cohort were observed to be higher than the corresponding ones in the RCC group. A statistically meaningful difference was discovered between the minimum ADC value along with the 5 ranking of ADC measurements (p<0.001), in addition to mean of ADC (p=0.050), and the 10 (p=0.002) and 25 (p=0.015) quantiles of ADC data. When considering the region below the curve (AUC) in ROC analysis, the value of ADCmin was recorded as 0.739, with a sensitivity of 75.0%, and specificity of 68.2%.
To distinguish oncocytoma from RCC, it may be useful to conduct a whole-tumor histogram and textural analysis of ADC values.
本研究探讨了扩散加权成像衍生的直方图参数在鉴别肾细胞癌（RCC）和嗜酸细胞瘤中的应用价值。
本研究追踪了126例经组织病理学分析诊断为RCC和嗜酸细胞瘤的患者，采用2015年至2023年的磁共振成像（MRI）评估。我们观察了这些患者的各种属性，包括人口统计学细节、手术记录、术前MRI结果、MRI表观扩散系数（ADC）直方图分析以及术后组织病理学结果。计算了ADC测量值的均值、最小值和最大值，以及5、10、25、50、75、90和95分位数。此外，我们还记录了这些数据点的偏度、峰度和方差。
本研究的焦点组包括75名男性和51名女性患者。其中，82例被诊断为RCC，44例被诊断为嗜酸细胞瘤。观察到嗜酸细胞瘤队列中的所有ADC参数，包括ADCmin、ADCmedian、ADCmean和ADCmax，以及5、10、25、50、75、90和95分位数划分，均高于RCC组中的相应参数。除了ADC的均值（p=0.050）、10分位数（p=0.002）和25分位数（p=0.015）外，还发现ADC最小值与ADC测量值的5分位数之间存在统计学意义上的差异（p<0.001）。在ROC分析中考虑曲线下面积（AUC）时，ADCmin的值记录为0.739，灵敏度为75.0%，特异性为68.2%。
为了区分嗜酸细胞瘤和RCC，对ADC值进行全肿瘤直方图和纹理分析可能是有用的。
