Literature DB >> 25347370

Conventional and diffusion-weighted MRI features in diagnosis of metastatic lymphadenopathy in bladder cancer.

Daniel A Wollin1, Fang-Ming Deng, William C Huang, James S Babb, Andrew B Rosenkrantz.   

Abstract

INTRODUCTION: To compare qualitative and quantitative imaging features from conventional and diffusion-weighted (DW) magnetic resonance imaging (MRI) in detection of metastatic pelvic lymph nodes in bladder cancer patients undergoing cystectomy.
MATERIALS AND METHODS: Thirty-six patients who had undergone cystectomy for bladder cancer with preoperative MRI with DWI sequence prior to surgery were included. Imaging features on conventional and DW-MRI were compared with histopathology at cystectomy.
RESULTS: Nodal features associated with metastatic lymphadenopathy were short axis (AUC = 0.85, p < 0.001; when SA > 5 mm: sensitivity = 88%, specificity = 75%), long axis (AUC = 0.80, p < 0.001; when LA > 6 mm: sensitivity = 88%, specificity = 71%), apparent diffusion coefficient (ADC) on DWI, normalized to muscle (AUC = 0.66, p = 0.113; when nADC < 1.35: sensitivity = 75%, specificity = 68%), and absence of fatty hilum on conventional imaging (AUC = 0.73, p = 0.012; when fatty hilum absent, sensitivity = 75%, specificity = 71%). ADC without normalization was not associated with metastasis (p = 0.303).
CONCLUSIONS: Imaging findings from conventional MRI and DWI achieved reasonable accuracy for detecting metastatic lymph nodes in bladder cancer, although sensitivity was higher than specificity. A short axis greater than 5 mm on conventional MRI had the highest accuracy of any individual finding. When using DWI, normalization of ADC values to muscle ADC may improve diagnostic performance.

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Year:  2014        PMID: 25347370

Source DB:  PubMed          Journal:  Can J Urol        ISSN: 1195-9479            Impact factor:   1.344


  6 in total

1.  Comparative sensitivity and specificity of imaging modalities in staging bladder cancer prior to radical cystectomy: a systematic review and meta-analysis.

Authors:  Jack Crozier; Nathan Papa; Marlon Perera; Brian Ngo; Damien Bolton; Shomik Sengupta; Nathan Lawrentschuk
Journal:  World J Urol       Date:  2018-08-17       Impact factor: 4.226

2.  Diffusion-weighted imaging of hyperpolarized [13 C]urea in mouse liver.

Authors:  Irene Marco-Rius; Jeremy W Gordon; Aras N Mattis; Robert Bok; Romelyn Delos Santos; Subramanian Sukumar; Peder E Z Larson; Daniel B Vigneron; Michael A Ohliger
Journal:  J Magn Reson Imaging       Date:  2017-04-17       Impact factor: 4.813

Review 3.  Pitfalls and Limitations of Diffusion-Weighted Magnetic Resonance Imaging in the Diagnosis of Urinary Bladder Cancer.

Authors:  Wei-Ching Lin; Jeon-Hor Chen
Journal:  Transl Oncol       Date:  2015-06       Impact factor: 4.243

Review 4.  Evaluation of lymph node status in patients with urothelial carcinoma-still in search of the perfect imaging modality: a systematic review.

Authors:  Michał Frączek; Hubert Kamecki; Anna Kamecka; Roman Sosnowski; Katarzyna Sklinda; Marcin Czarniecki; Leszek Królicki; Jerzy Walecki
Journal:  Transl Androl Urol       Date:  2018-10

Review 5.  Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics.

Authors:  Massimo E Maffei
Journal:  Int J Mol Sci       Date:  2022-01-25       Impact factor: 5.923

6.  A glance at imaging bladder cancer.

Authors:  Ebru Salmanoglu; Ethan Halpern; Edouard J Trabulsi; Sung Kim; Mathew L Thakur
Journal:  Clin Transl Imaging       Date:  2018-05-16
  6 in total

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