Application of ADC measurement in characterization of renal cell carcinomas with different pathological types and grades by 3.0T diffusion-weighted MRI

Utility of Apparent Diffusion Coefficients in the Evaluation of Solid Renal Tumors at 3T

“…The differentiation between hyperattenuating type fat poor AML and papillary RCCs will be more difficult on the conventional findings of CT and MRI, because both show a prolonged enhancement and low T 2 intensity. 28 In this study, there was only one case of papillary RCC was observed, which had an ADC of 0.605 © 10 -3 mm 2 /s, similar to the mean ADC of hyperattenuating type fat poor AML (0.719 © 10 22 However, so far, no study has compared the ADC value between AML and papillary RCC. Further studies will be necessary to evaluate whether the ADC value will be useful for the differentiation of these two tumors.…”

“…To date, only 2 studies, which examined only RCC but not benign renal tumors, have used MRI at 3T. 21,22 The purpose of this study was to assess the usefulness of the apparent diffusion coefficients (ADCs) for differentiating different types of solid renal tumors with DWI at 3T.…”

Comparison of biexponential and monoexponential DWI in evaluation of Fuhrman grading of clear cell renal cell carcinoma

“…Thus, a precise diagnosis of preoperative Fuhrman grade becomes sufficiently important. As noninvasive assessment modalities, computed tomography (CT) and magnetic resonance imaging (MRI) have been used to determine therapeutic strategies and surgical planning in RCC (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18).…”

Clinical Functional MRI of the kidneys

“…Inci and colleagues also suggested that ADC values may help differentiating renal cell carcinoma (RCC) subtypes (papillary RCC exhibits low ADC values, clear-cell RCC intermediate and chromophobe RCC relatively higher ADC values). Yu et al [15] recently reported the feasibility of ADC measurements performed at 3 T for differentiation and classification of RCC. In the mentioned studies, a mono-exponential model was applied for ADC computation.…”

“…Hueper et al [18] Yu et al [15] Inci et al [14] Chandarana et al [16] Zhang et al [13] Lu et al [20] Sigmund et al [11] Wittsack et al [12] Rosenkrantz et al [54] Hueper et al [21] ASL Artz et al [26] Pedrosa et al [28] Lanzman et al [29] Rossi et al [27] Cutajar et al [23] Wu et al [24] Boss et al [22] Schor-Bardach et al [30] BOLD Park et al [37] Xiao et al [36] Min et al [38] Yin et al [34] Michaely et al [43] Xin-Long et al [33] Park et al [37] Donati et al [42] Simon-Zoula et al [32] Zhang et al…”