Literature DB >> 28330685

Renal clear cell carcinoma: diffusion tensor imaging diagnostic accuracy and correlations with clinical and histopathological factors.

Q Feng1, W Fang1, X P Sun1, S H Sun1, R M Zhang1, Z J Ma2.   

Abstract

AIM: To investigate whether diffusion tensor imaging (DTI) can be used to assess renal clinical histopathology, including the nuclear grade (NG), cell density (CD), and the presence of ki-67.
MATERIALS AND METHODS: Thirty patients were enrolled in the study and were confirmed at surgical histopathology to have clear cell renal cell carcinoma (CCRCC). For DTI, a coronal echo-planar imaging sequence was performed (1400 ms repetition time, 76 ms echo time, diffusion direction=6, number of excitations=4; b=0 and 800 s/mm2, 6 mm section thickness with no intersection gap). CD and the presence of ki-67 were compared between the different NGs. Correlations between apparent diffusion coefficients (ADCs), E1, fractional anisotropy (FA), CD, and ki-67 were evaluated.
RESULTS: ADC, E1, and FA values are important tools used to identify NG. The cut-off values were 1.003×10-3 mm2/s, 1.277×10-3 mm2/s, and 0.218 mm2/s, respectively. The difference between high- and low-grade CD was significant (t=-4.50, p<0.05). Similarly, a significant difference between high and low grade was also found in ki-67 (t=-4.03, p<0.05). ADC, E1, and FA values were decreased with increased CD; a significant negative correlation was found (r=-0.796, -0.865, and -0.996, respectively). Significant negative correlations between ADC, E1, and FA values, and ki-67 were found (r=-0.739, -0.826, and -0.876, respectively).
CONCLUSIONS: DTI can be used to non-invasively assess CCRCC.
Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28330685     DOI: 10.1016/j.crad.2017.02.016

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


  7 in total

Review 1.  [Renal functional diagnostics using magnetic resonance imaging].

Authors:  Hanne Kirsch; Hans-Joachim Mentzel
Journal:  Radiologe       Date:  2018-10       Impact factor: 0.635

Review 2.  An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions.

Authors:  Ravinder Kaur; Mamta Juneja; A K Mandal
Journal:  Med Biol Eng Comput       Date:  2019-11-21       Impact factor: 2.602

3.  Endometrial Carcinoma: Texture Analysis of Apparent Diffusion Coefficient Maps and Its Correlation with Histopathologic Findings and Prognosis.

Authors:  Ichiro Yamada; Naoyuki Miyasaka; Daisuke Kobayashi; Kimio Wakana; Noriko Oshima; Akira Wakabayashi; Junichiro Sakamoto; Yukihisa Saida; Ukihide Tateishi; Yoshinobu Eishi
Journal:  Radiol Imaging Cancer       Date:  2019-11-29

4.  Texture Analysis of Apparent Diffusion Coefficient Maps in Cervical Carcinoma: Correlation with Histopathologic Findings and Prognosis.

Authors:  Ichiro Yamada; Noriko Oshima; Naoyuki Miyasaka; Kimio Wakana; Akira Wakabayashi; Junichiro Sakamoto; Yukihisa Saida; Ukihide Tateishi; Daisuke Kobayashi
Journal:  Radiol Imaging Cancer       Date:  2020-05-22

5.  Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings.

Authors:  Sophie van Baalen; Martijn Froeling; Marino Asselman; Caroline Klazen; Claire Jeltes; Lotte van Dijk; Bart Vroling; Pieter Dik; Bennie Ten Haken
Journal:  Cancer Imaging       Date:  2018-11-26       Impact factor: 3.909

Review 6.  Diagnostic Imaging for Solid Renal Tumors: A Pictorial Review.

Authors:  Tim J van Oostenbrugge; Jurgen J Fütterer; Peter F A Mulders
Journal:  Kidney Cancer       Date:  2018-08-01

7.  Diffusion tensor imaging for the study of early renal dysfunction in patients affected by bardet-biedl syndrome.

Authors:  Pasquale Borrelli; Miriam Zacchia; Carlo Cavaliere; Luca Basso; Marco Salvatore; Giovambattista Capasso; Marco Aiello
Journal:  Sci Rep       Date:  2021-10-21       Impact factor: 4.379

  7 in total

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