Literature DB >> 28673449

Arterial spin labelling MRI for detecting pseudocapsule defects and predicting renal capsule invasion in renal cell carcinoma.

H Zhang1, Y Wu2, W Xue3, P Zuo4, N Oesingmann5, Q Gan6, Z Huang1, M Wu1, F Hu1, M Kuang7, B Song8.   

Abstract

AIM: To evaluate prospectively the performance of combining morphological and arterial spin labelling (ASL) magnetic resonance imaging (MRI) for detecting pseudocapsule defects in renal cell carcinoma (RCC), and to predict renal capsule invasion confirmed histopathologically.
MATERIALS AND METHODS: Twenty consecutive patients with suspicious renal tumours underwent MRI. Renal ASL imaging was performed and renal blood flow was measured quantitatively. The diagnostic performance of T2-weighted images alone, and a combination of T2-weighted and ASL images for predicting renal capsule invasion were assessed.
RESULTS: Twenty renal lesions were evaluated in 20 patients. All lesions were clear cell RCCs (ccRCCs) confirmed at post-surgical histopathology. Fifteen ccRCCs showed pseudocapsule defects on T2-weighted images, of which 12 cases showed existing blood flow in defect areas on perfusion images. To predict renal capsule invasion, the sensitivity, specificity, positive predictive value, and negative predictive value were 100%, 71.4%, 86.7%, 100%, respectively, for T2-weighted images alone, and 92.3%, 100%, 100%, 87.5%, respectively, for the combination of T2-weighted and ASL images.
CONCLUSION: ASL images can reflect the perfusion of pseudocapsule defects and as such, the combination of T2-weighted and ASL images produces promising diagnostic accuracy for predicting renal capsule invasion.
Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28673449     DOI: 10.1016/j.crad.2017.06.003

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  5 in total

1.  Accuracy of magnetic resonance imaging to identify pseudocapsule invasion in renal tumors.

Authors:  Rocco Papalia; Valeria Panebianco; Riccardo Mastroianni; Maurizio Del Monte; Emanuela Altobelli; Eliodoro Faiella; Francesco Rosario Grasso; Mariangela Bellangino; Giuseppe Simone; Massimo Ciccozzi; Silvia Angeletti; Giulia D'ovidio; Carlo Catalano; Michele Gallucci; Roberto Mario Scarpa; Giovanni Muto
Journal:  World J Urol       Date:  2019-04-25       Impact factor: 4.226

2.  Arterial Spin Labeling MRI for Predicting Microvascular Invasion of T1 Staging Renal Clear Cell Carcinoma Preoperatively.

Authors:  Han-Mei Zhang; Da-Guang Wen; Yi Wang; Yi-Ge Bao; Yuan Yuan; Yun-Tian Chen; Bin Song
Journal:  Front Oncol       Date:  2021-05-18       Impact factor: 6.244

Review 3.  Non-Invasive Renal Perfusion Imaging Using Arterial Spin Labeling MRI: Challenges and Opportunities.

Authors:  Fabio Nery; Isky Gordon; David L Thomas
Journal:  Diagnostics (Basel)       Date:  2018-01-05

4.  A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma.

Authors:  Lu Yang; Long Gao; Dooman Arefan; Yuchuan Tan; Hanli Dan; Jiuquan Zhang
Journal:  BMC Med Imaging       Date:  2022-01-30       Impact factor: 1.930

5.  Multislice spiral computed tomography signs of invasion of the renal capsule by renal cell carcinoma.

Authors:  Yanman Zhang; Hao Tian; Siqi Zhang; Qing Zhang; Xianhua Wu
Journal:  Medicine (Baltimore)       Date:  2018-11       Impact factor: 1.817

  5 in total

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