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Correlation analysis between ADC minimum, rADC minimum and Fuhrman classification of renal clear cell carcinoma
ZHANG Jing  LI Shaodong 

Cite this article as: Zhang J, Li SD. Correlation analysis between ADC minimum, rADC minimum and Fuhrman classification of renal clear cell carcinoma. Chin J Magn Reson Imaging, 2020, 11(9): 793-796. DOI:10.12015/issn.1674-8034.2020.09.015.


[Abstract] Objective: To investigate the application value of 3.0 T MRI minimum apparent diffusion coefficient (ADCmin) and relative ADC minimum (rADCmin) in predicting the pathological grades of renal clear cell carcinoma (CCRCC), and compare them with mean apparent diffusion coefficient (ADCmean).Materials and Methods: Retrospective analysis of pathological and DWI data of 92 patients with renal clear cell carcinoma confirmed by surgical pathology. The average and minimum ADC values of the parenchyma of the lesion, and the ADC value of contralateral renal parenchyma were measured, and then the rADCmin was calculated. According to Fuhrman nuclear grading system, Grade Ⅰ and Ⅱ were defined as low-grade group, and grade Ⅲ and Ⅳ were defined as high-grade group. The values of ADCmean, ADCmin, and rADCmin were compared among Ⅰ—Ⅳ pathological grades, and between high-grade group and low-grade group. The correlation between Fuhrman classification and ADC values was analyzed. ROC curve was performed to evaluate the diagnostic efficacy of three different ADC values for high and low grade CCRCC.Results: There were statistically significant differences in ADCmean, ADCmin and rADCmin among the four pathological grades (P<0.05). The ADCmean of the high and low grade groups were (1.578±0.188)×10-3 mm2/s, (1.956±0.206)×10-3 mm2/s, and the ADCmin were (1.291±0.134)×10-3 mm2/s, (1.682±0.223)×10-3 mm2/s, rADCmin were 0.591±0.065, 0.777±0.093 (P<0.01). There was a highly negatively correlated between pathological grades and ADCmean, ADCmin, and rADCmin (r=-0.755, r=-0.826, r=-0.880 respectively, P<0.01); rADCmin had the highest diagnostic effectiveness in identifying high and low grade CCRCC, and the area under ROC was 0.963. With 0.6673 as the best diagnostic threshold, the sensitivity was 91.2% and the specificity was 88.6%.Conclusions: ADCmin is superior to ADCmean in predicting the Fuhrman pathological grades and diagnostic efficacy of renal clear cell carcinoma, and rADCmin has the highest evaluation value, which can provide reference for clinical operation and prognostic evaluation.
[Keywords] kidney neoplasms;magnetic resonance imaging;pathology

ZHANG Jing Department of Medical Imaging, Xuzhou Medical University, Xuzhou 221004, China; Department of Radiology, People's Hospital of Tongshan District, Xuzhou City, Jiangsu Province, Xuzhou 221100, China

LI Shaodong* Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China

*Correspondence to: Li SD, E-mail: 13852003378@163.com

Conflicts of interest   None.

Received  2020-02-09
Accepted  2020-07-15
DOI: 10.12015/issn.1674-8034.2020.09.015
Cite this article as: Zhang J, Li SD. Correlation analysis between ADC minimum, rADC minimum and Fuhrman classification of renal clear cell carcinoma. Chin J Magn Reson Imaging, 2020, 11(9): 793-796. DOI:10.12015/issn.1674-8034.2020.09.015.

[1]
Rossi SH, Klatte T, Usher-Smith J, et al. Epidemiology and screening for renal cancer. World J Urol, 2018, 36(9): 1341-1353.
[2]
Motzer RJ, Jonasch E, Agarwal N, et a1. Kidney cancer, version2. 2017, NCCN Clinical Practice Guidelines in Oncology. JNatl Compr Cane Netw, 2017, 15(6): 804-834.
[3]
孙军,邢伟,陈杰,等. T1b期肾透明细胞癌ADC值与病理分级相关性的研究.中华放射学杂志, 2012, 46(8): 682-686.
[4]
Goyal A, Sharma R, Bhalla, et al. Diffusion-weighted MRI in renal cell carcinoma: a surrogate marker for predicting nuclear grade and histological subtype. Acta Radiol, 2012, 53(3): 349-358.
[5]
Shah PH, Moreira DM, Okhunov Z, et a1. Positive surgical margins increase risk of recurrence after partial nephrectomy for high risk renal tumors. J Urol, 2016, 196(2): 327-334.
[6]
彭令荣,孔庆聪,江婷,等.脑胶质瘤的表观扩散系数值与其病理分级的相关性研究.中华神经医学杂志, 2017, 16(10): 1041-1045.
[7]
郑信德,陈财忠,缪熙音,等.磁共振成像表观扩散系数对前列腺癌分级诊断的价值.中国临床医学, 2017, 24(5): 696-700.
[8]
Mytsyk Y, Dutka I, Borys Y, et al. Renal cell carcinoma: applicability of the apparent coefficient of the diffusion-weighted estimated by MRI for improving their differential diagnosis, histologic subtyping, and differentiation grade. Int Urol Nephrol, 2017, 49(2): 215-224.
[9]
陆蓉,胥常云,周建军,等.不同级别肾透明细胞癌3.0 T MR功能成像与E-cad的相关性研究.医学影像学杂志, 2018, 28(3): 448-451.
[10]
张宇馨,韩福刚.表观扩散系数直方图对肾透明细胞癌病理分级的诊断价值.中国癌症防治杂志, 2019, 11(1): 76-80.
[11]
陈伟,王亚婷,周海飞,等. ADC平均值及最小值与食管癌病理特点的相关性分析.放射学实践, 2019, 34(9): 1002-1006.
[12]
Kerim A, Pinar GH, Leman T, et al. The diagnostic value of using combined MR diffusion tensor imaging parameters to differentiate between low- and high-grade meningioma. Br J Radiol, 2018, 91(1088): 20180088.
[13]
冯茜茜,郑雪,李艳,等. ADC值及ADC比值在Ia期子宫内膜癌与子宫黏膜下肌瘤鉴别诊断中的应用价值.中国现代医学杂志, 2019, 29(19): 82-87.
[14]
Kinoshita M, Arita H, Okita Y, et al. Comparison of diffusion tensor imaging and 11C-methionine positron emission tomography for reliable prediction of tumor cell density in gliomas. J Neurosurg. 2016, 125(5): 1136-1142.
[15]
She DJ, Lu YP, Xiong J, et al. Comparison of conventional, diffusion, and perfusion MRI between infratentorial ganglioglioma and pilocytic astrocytoma. Acta Radiologica, 2019, 60(12): 1687-1694.

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