Yonago Acta Medica
Online ISSN : 1346-8049
ISSN-L : 0513-5710
Original Article
Is Preoperative Magnetic Resonance Imaging in a Daily Clinical Setting Useful to Evaluate Tumor Invasion Beyond the Pseudocapsule in Renal Cell Carcinoma?
Hideto IwamotoKanae NosakaHidenao MiyoshiKaren MakishimaRyouya OchiaiRyutarou ShimizuTetsuya YumiokaShuichi MorizaneMasashi HondaAtsushi Takenaka
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2021 年 64 巻 4 号 p. 345-352

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Background We wanted to clarify whether preoperative magnetic resonance imaging (MRI) in the clinical setting can evaluate the pathologic pseudocapsule (PC) morphology with high accuracy in renal cell carcinoma (RCC).

Methods We retrospectively analyzed 34 consecutive patients who underwent MRI (1.5 or 3.0T, 5 mm slices) prior to partial nephrectomy (PN) for RCC at our institution between January 2010 and December 2019. First, the correlation between PC morphology (complete or incomplete) and tumor infiltration to the renal parenchyma was examined as pathologic validation. Second, the concordance rate of PC morphology between pathologic tissue and preoperative MRI was evaluated as radiologic validation. Third, risk factor for renal parenchymal invasion in RCC was analyzed.

Results In the pathologic validation, parenchymal invasion rates were 11% and 28% in the “complete PC” and “incomplete PC” groups, respectively. In the radiologic validation, pathological PC morphology could be diagnosed on preoperative MRI in 17 patients (50.0%). “None PC” on MRI had the lowest positive predictive value (PPV) (0%), “partial PC” on MRI had a good PPV (76.5%), “complete PC” on MRI had a relatively low PPV (33.3%). Unfortunately, these data were insufficient for diagnostic accuracy. As risk factor for renal parenchymal invasion in RCC, only pathologic subtype (non-clear cell) was found to have significant differences in the multivariate analysis.

Conclusion The results of this study suggest that renal tumors with pathologically incomplete PC have a high possibility of renal parenchymal invasion. However, it is currently difficult to accurately evaluate pathologic PC morphology by preoperative MRI in the clinical setting.

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© 2021 Tottori University Medical Press
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