Diffusion-weighted imaging versus contrast-enhanced MR imaging for the differentiation of renal oncocytomas and chromophobe renal cell carcinomas

Zhong, Yan; Wang, Haiyi; Shen, Yanguang; Guo, Aitao; Wang, Jia; Kang, Shan; Ma, Lu; Pan, Jingjing; Ye, Huiyi

doi:10.1007/s00330-017-4906-9

Cited by 25 publications

(11 citation statements)

References 33 publications

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“…Another limitation is the lack of research on the value of contrast-enhanced MRI in this study. However, contrast-enhanced imaging might be inferior to DWI in renal tumor diagnosis, especially for complicated renal lesions, hemorrhagic lesions, or tumors showing overlap in the enhancement pattern (2836). Moreover, most patients with renal tumors are elderly individuals and may have renal dysfunction, which increases the risk of development of nephrogenic systemic fibrosis after contrast administration (37).…”

Section: Discussionmentioning

confidence: 99%

Comparison of Monoexponential, Biexponential, Stretched-Exponential, and Kurtosis Models of Diffusion-Weighted Imaging in Differentiation of Renal Solid Masses

et al. 2019

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Objective To compare various models of diffusion-weighted imaging including monoexponential apparent diffusion coefficient (ADC), biexponential (fast diffusion coefficient [D f ], slow diffusion coefficient [D s ], and fraction of fast diffusion), stretched-exponential (distributed diffusion coefficient and anomalous exponent term [α]), and kurtosis (mean diffusivity and mean kurtosis [MK]) models in the differentiation of renal solid masses. Materials and Methods A total of 81 patients (56 men and 25 women; mean age, 57 years; age range, 30–69 years) with 18 benign and 63 malignant lesions were imaged using 3T diffusion-weighted MRI. Diffusion model selection was investigated in each lesion using the Akaike information criteria. Mann-Whitney U test and receiver operating characteristic (ROC) analysis were used for statistical evaluations. Results Goodness-of-fit analysis showed that the stretched-exponential model had the highest voxel percentages in benign and malignant lesions (90.7% and 51.4%, respectively). ADC, D s , and MK showed significant differences between benign and malignant lesions ( p < 0.05) and between low- and high-grade clear cell renal cell carcinoma (ccRCC) ( p < 0.05). α was significantly lower in the benign group than in the malignant group ( p < 0.05). All diffusion measures showed significant differences between ccRCC and non-ccRCC ( p < 0.05) except D f and α ( p = 0.143 and 0.112, respectively). α showed the highest diagnostic accuracy in differentiating benign and malignant lesions with an area under the ROC curve of 0.923, but none of the parameters from these advanced models revealed significantly better performance over ADC in discriminating subtypes or grades of renal cell carcinoma (RCC) ( p > 0.05). Conclusion Compared with conventional diffusion parameters, α may provide additional information for differentiating benign and malignant renal masses, while ADC remains the most valuable parameter for differentiation of RCC subtypes and for ccRCC grading.

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Section: Discussionmentioning

confidence: 99%

Comparison of Monoexponential, Biexponential, Stretched-Exponential, and Kurtosis Models of Diffusion-Weighted Imaging in Differentiation of Renal Solid Masses

et al. 2019

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“…ER was calculated as follows: ER=(SI max – SI pre )/SI pre ×100%. 15 Wall thickness at the neck, body, and dome portions of the IAs was measured manually on the post-enhancement images. Average values were used for all subsequent statistical analyses.…”

Section: Methodsmentioning

confidence: 99%

Wall enhancement ratio and partial wall enhancement on MRI associated with the rupture of intracranial aneurysms

Wang

Lei

et al. 2017

J NeuroIntervent Surg

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ObjectivesTo evaluate the risk factors for rupture of intracranial aneurysms (IAs) using high resolution MRI (HRMRI).Methods91 consecutive patients with 106 IAs were reviewed from February 2016 to April 2017. Patients and IAs were divided into ruptured and unruptured groups. In addition to the clinical characteristics of the patients, the features of IAs (eg, shape) were evaluated by CT angiography, whereas wall thickness, enhanced patterns, and enhancement ratio (ER) were evaluated by MRI. Multiple logistic regression analysis was used to identify independent risk factors associated with the rupture of IAs. Receiver operating characteristic curve analysis was performed on the final model, and the optimal thresholds were obtained.ResultsER (OR 6.638) and partial wall enhancement (PWE) (OR 6.710) were not markers of aneurysms more prone to rupture, but simply were more commonly found in the ruptured aneurysm cohort. The threshold value for ER was 61.5%.ConclusionsER (≥61.5%) and IAs with PWE are better predictors of rupture. Increased attentions should be paid to these factors during assessment of IA rupture.

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“…The combination of DWI‐MRI and DCE‐MRI seems to provide a more accurate diagnostic method for differentiating ccRCCs from other less‐aggressive renal cortical tumors. Increased vascularity in malignant tumors can decrease diffusion and increase perfusion . Then, based on high vascularity and cellularity, IVIM can divide ccRCCs into four grades that are positively correlated with (perfusion fraction) f values and negatively linked with (diffusivity) D values and (pseudodiffusivity) D* values in DWI .…”

Section: Applications Of Renal Fmrimentioning

confidence: 99%

Renal Functional MRI and Its Application

Zhou

Wang

Zeng

et al. 2018

Magnetic Resonance Imaging

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Diffusion-weighted imaging versus contrast-enhanced MR imaging for the differentiation of renal oncocytomas and chromophobe renal cell carcinomas

Abstract: • ADC values can assist in differentiating renal oncocytomas from chromophobe RCCs. • DW imaging possesses better specificity than does contrast-enhanced MR imaging. • Combining the two parameters provides higher specificity regarding the differential diagnosis.

Cited by 25 publications

References 33 publications

Comparison of Monoexponential, Biexponential, Stretched-Exponential, and Kurtosis Models of Diffusion-Weighted Imaging in Differentiation of Renal Solid Masses

Comparison of Monoexponential, Biexponential, Stretched-Exponential, and Kurtosis Models of Diffusion-Weighted Imaging in Differentiation of Renal Solid Masses

Wall enhancement ratio and partial wall enhancement on MRI associated with the rupture of intracranial aneurysms

Renal Functional MRI and Its Application

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