Literature DB >> 27320827

Preliminary study of diffusion-weighted MRI in the preoperative diagnosis of cystitis glandularis.

H-J Wang1, M H Pui2, Y Guo3, J Guan1, X-L Zhang1, M-J Liu1, S-R Li1, J-H Lin1.   

Abstract

AIM: To assess the efficacy of diffusion-weighted (DWI) magnetic resonance imaging (MRI) in distinguishing cystitis glandularis (CG) from bladder urothelial carcinoma.
MATERIALS AND METHODS: Ultrasound, computed tomography (CT), conventional MRI, and DWI of 30 patients with histopathologically confirmed CG were analysed retrospectively and the imaging findings were correlated to the findings at histology.
RESULTS: Ultrasound was non diagnostic in 11/18 and misdiagnosed malignancy in 7/18; CT was non diagnostic in 6/10 and misdiagnosed malignancy in 4/10; MRI was non diagnostic in 0 and misdiagnosed malignancy in 4/5 respectively. One patient with diffuse bladder wall thickening was correctly diagnosed as CG at MRI. All six patients who underwent additional DWI were accurately diagnosed as having CG with no or minimal reduction of diffusion.
CONCLUSIONS: Diffusion is not reduced or shows minimal reduction in CG. DWI may aid the differential diagnosis of CG.
Copyright © 2016 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27320827     DOI: 10.1016/j.crad.2016.05.008

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


  3 in total

1.  Quantitative Analysis of Enhanced Computed Tomography in Differentiating Cystitis Glandularis and Bladder Cancer.

Authors:  Hui Hua; Yuanxiang Gao; Jizheng Lin; Feng Hou; Jun Wei Wang; Yong Zhang; Xuecheng Yang; Hexiang Wang
Journal:  Biomed Res Int       Date:  2020-06-17       Impact factor: 3.411

2.  Feasibility Study on Predicting Recurrence Risk of Bladder Cancer Based on Radiomics Features of Multiphase CT Images.

Authors:  Jing Qian; Ling Yang; Su Hu; Siqian Gu; Juan Ye; Zhenkai Li; Hongdi Du; Hailin Shen
Journal:  Front Oncol       Date:  2022-06-02       Impact factor: 5.738

3.  A nomogram combined with radiomics features, albuminuria, and metabolic syndrome to predict the risk of myometrial invasion of bladder cancer.

Authors:  Qi Zhou; Zhiyu Zhang; Xiaojie Ang; Haoyang Zhang; Jun Ouyang
Journal:  Transl Cancer Res       Date:  2021-07       Impact factor: 1.241

  3 in total

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