Literature DB >> 28712703

Role of semi-quantitative dynamic contrast-enhanced MR imaging in characterization and grading of prostate cancer.

See Hyung Kim1, Mi Sun Choi2, Mi Jung Kim3, Young Hwan Kim3, Seung Hyun Cho4.   

Abstract

OBJECTIVE: The study retrospectively assessed the diagnostic value of semi-quantitative dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in characterization and grading of prostate cancer, with correlation to histopathological analysis.
MATERIALS AND METHODS: 161 consecutive patients with prostate cancer underwent DCE MRI. 430 lesions, including 200 cancers with Gleason grade (GG) of 6 (n=25), 7 (n=112) and 8 or higher (n=63); 80 benign hyperplasia; and 150 healthy tissues were assessed using a histology-MRI correlation. Time-intensity curve types between two radiologists and kinetic parameters (Cpeak, time to peak, wash-in and wash-out) were compared in the different tissue types and GGs. Receiver operating characteristic curve analysis was performed to assess for each parameter to differentiate cancer from benign hyperplasia or healthy tissue, and GG 8 or higher from GG 6 or 7.
RESULTS: Type 2 was the prevalent assigned curve type. Inter-radiologist agreement for the curve types was excellent. Cancer and GG 8 or higher significantly showed a higher Cpeak and faster wash-in compared to healthy tissue and GG 6. Only wash-in significantly differentiated cancer from healthy tissue, and GG 8 or higher from GG 6, having an area under the curve (AUC) of 0.755 and 0.815 respectively. Wash-in for the combined parameters revealed AUCs of 0.791 and 0.839 in two (Cpeak) parameters, and AUCs of 0.862 and 0.891 in three (Cpeak and wash-out) parameters.
CONCLUSION: Semi-quantitative parameters can differentiate cancer from benign hyperplasia and healthy tissue. Wash-in is the most accurate differentiation parameter of cancer foci and GG 8 or higher.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dynamic contrast-enhanced MRI; Prostate cancer; Semi-quantitative parameters

Mesh:

Substances:

Year:  2017        PMID: 28712703     DOI: 10.1016/j.ejrad.2017.06.021

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

Review 1.  Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.

Authors:  Domenico Albano; Federico Bruno; Andrea Agostini; Salvatore Alessio Angileri; Massimo Benenati; Giulia Bicchierai; Michaela Cellina; Vito Chianca; Diletta Cozzi; Ginevra Danti; Federica De Muzio; Letizia Di Meglio; Francesco Gentili; Giuliana Giacobbe; Giulia Grazzini; Irene Grazzini; Pasquale Guerriero; Carmelo Messina; Giuseppe Micci; Pierpaolo Palumbo; Maria Paola Rocco; Roberto Grassi; Vittorio Miele; Antonio Barile
Journal:  Jpn J Radiol       Date:  2021-12-24       Impact factor: 2.374

2.  Comparative study of imaging and histology of sacroiliac joint in normal rats based on IVIM-DWI and DCE-MRI.

Authors:  Jian Qin; Qianqian Yao; Xubo Ge; Jianzhong Zhu; Zhaoliang Yin; Xiaoqian Li; Changqin Li
Journal:  BMC Musculoskelet Disord       Date:  2020-07-20       Impact factor: 2.362

Review 3.  Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models.

Authors:  M F Fiordelisi; L Auletta; L Meomartino; L Basso; G Fatone; M Salvatore; M Mancini; A Greco
Journal:  Contrast Media Mol Imaging       Date:  2019-09-22       Impact factor: 3.161

  3 in total

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