Literature DB >> 28815808

Intravoxel incoherent motion diffusion-weighted imaging in assessing bladder cancer invasiveness and cell proliferation.

Fang Wang1, Lian-Ming Wu1, Xiao-Lan Hua1, Zi-Zhou Zhao1, Xiao-Xi Chen1, Jian-Rong Xu1.   

Abstract

BACKGROUND: Nonmuscle-invasive bladder cancer (NMIBC, Stage T1 or lower) is treated with transurethral resection (TUR), while muscle-invasive bladder cancer (MIBC, Stage T2 or more) requires neoadjuvant chemotherapy before radical cystectomy. Hence, preoperative differentiation is vital.
PURPOSE: To investigate whether intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) can differentiate NMIBC from MIBC and to assess whether there were correlations between IVIM parameters and the Ki-67 labeling index (LI). STUDY TYPE: Retrospective.
SUBJECTS: Thirty-six patients diagnosed with bladder cancer confirmed by histopathological findings. FIELD STRENGTH/SEQUENCE: 3.0T magnetic resonance imaging (MRI) DWI with eight b-values ranging from 0 to 1000 s/mm2 . ASSESSMENT: Molecular diffusion coefficient (D), perfusion-related diffusion coefficient (D*), perfusion fraction (f), and apparent diffusion coefficient (ADC) were calculated by biexponential and monoexponential models fits, respectively. STATISTICAL TESTS: Comparisons were made between the MIBC and NMIBC group, and differences were analyzed by comparing the areas under the receiver-operating characteristic curves (AUCs). The correlations between these parameters and Ki-67 LI were assessed by Spearman's rank correlation analysis.
RESULTS: The ADC and D value were significantly lower in patients with MIBC compared to those with NMIBC (P < 0.01). No significant (P > 0.05) differences were observed in D* and f. The AUC of D value (0.894) was significantly (P < 0.05) larger than the ADC value (0.786), with sensitivities and specificities of 95% and 87.5% (D) and 80% and 68.7% (ADC), respectively. In addition, the D and ADC values were significantly correlated with Ki-67 LI (r = -0.785, r = -0.643, respectively; both P < 0.01). DATA
CONCLUSION: The D value obtained from IVIM exhibited better performance than conventional DWI for distinguishing NMIBC from MIBC and may serve as a potential imaging biomarker for bladder cancer invasion. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;47:1054-1060.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  bladder cancer; diffusion-weighted imaging; intravoxel incoherent motion; invasiveness

Mesh:

Substances:

Year:  2017        PMID: 28815808     DOI: 10.1002/jmri.25839

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  4 in total

1.  DWI and IVIM are predictors of Ki67 proliferation index: direct comparison of MRI images and pathological slices in a murine model of rhabdomyosarcoma.

Authors:  Yuan Yuan; Dewei Zeng; Yajie Liu; Juan Tao; Yu Zhang; Jie Yang; Tsendjav Lkhagvadorj; Zhenzhen Yin; Shaowu Wang
Journal:  Eur Radiol       Date:  2019-11-08       Impact factor: 5.315

2.  A Correlative Study Between IVIM-DWI Parameters and the Expression Levels of Ang-2 and TKT in Hepatocellular Carcinoma.

Authors:  Jing Zheng; Xue Qin Gong; Yun Yun Tao; Ran Wang; Gang Yang; Jing Dong Li; Tian Ren; Zu Mao Li; Cui Yang; Wei Cheng Wang; Lin Yang; Xiao Ming Zhang
Journal:  Front Oncol       Date:  2021-01-15       Impact factor: 6.244

Review 3.  Multiparametric Magnetic Resonance Imaging for Bladder Cancer: Development of VI-RADS (Vesical Imaging-Reporting And Data System).

Authors:  Valeria Panebianco; Yoshifumi Narumi; Ersan Altun; Bernard H Bochner; Jason A Efstathiou; Shaista Hafeez; Robert Huddart; Steve Kennish; Seth Lerner; Rodolfo Montironi; Valdair F Muglia; Georg Salomon; Stephen Thomas; Hebert Alberto Vargas; J Alfred Witjes; Mitsuru Takeuchi; Jelle Barentsz; James W F Catto
Journal:  Eur Urol       Date:  2018-05-10       Impact factor: 20.096

4.  Renal cell carcinoma with venous extension: prediction of inferior vena cava wall invasion by MRI.

Authors:  Lisa C Adams; Bernhard Ralla; Yi-Na Y Bender; Keno Bressem; Bernd Hamm; Jonas Busch; Florian Fuller; Marcus R Makowski
Journal:  Cancer Imaging       Date:  2018-05-03       Impact factor: 3.909

  4 in total

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