Literature DB >> 34019200

Development of imaging biomarker for esophageal cancer using intravoxel incoherent motion MRI.

Ryoya Mizumachi1, Koichi Hayano2, Atsushi Hirata1, Gaku Ohira1, Shunsuke Imanishi1, Toru Tochigi1, Tetsuro Isozaki1, Yoshihiro Kurata1, Yuko Ikeda1, Ryoma Urahama1, Takeshi Toyozumi1, Kentaro Murakami1, Masaya Uesato1, Hisahiro Matsubara1.   

Abstract

BACKGROUND: Intravoxel incoherent motion MRI (IVIM-MRI) can quantify micro-perfusion at the capillary level in the tissue. The purpose of this study is to measure tumor perfusion using IVIM-MRI, and evaluate its value as a biomarker to predict prognosis in esophageal squamous cell carcinoma (ESCC) patients.
METHODS: 109 ESCC patients (93 men and 16 women; median age: 72) who underwent IVIM-MRI prior to treatment between February 2018 and August 2020 were retrospectively investigated. Both mean apparent diffusion coefficient (ADC) value and mean perfusion-related parameter (PP) value of the primary tumor were measured using three b values of 0, 400, and 1000 s/mm2 based on the IVIM model. We analyzed associations of these parameters with clinical stage and disease-specific survival (DSS).
RESULTS: Lower ADC and PP values of the tumor were significantly associated with the higher clinical T stage (p < 0.0001, p < 0.0001, respectively). In Kaplan-Meier analyses, patients with lower PP value tumors (< 18.94, median) had significantly worse DSS (p < 0.0001), while tumor ADC value did not show a significant correlation with DSS. In a multivariate analysis, PP value of the tumor was an independent prognostic factor for DSS (p = 0.0027).
CONCLUSIONS: Quantification of tumor perfusion using IVIM-MRI can be a non-invasive prognostic biomarker of ESCC, reflecting clinical stage and survival.
© 2021. The Japan Esophageal Society.

Entities:  

Keywords:  Angiogenesis; Diffusion-weighted imaging; Esophageal squamous cell carcinoma; Intravoxel incoherent motion MRI; Tumor perfusion

Mesh:

Substances:

Year:  2021        PMID: 34019200     DOI: 10.1007/s10388-021-00851-z

Source DB:  PubMed          Journal:  Esophagus        ISSN: 1612-9059            Impact factor:   4.230


  7 in total

1.  MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.

Authors:  D Le Bihan; E Breton; D Lallemand; P Grenier; E Cabanis; M Laval-Jeantet
Journal:  Radiology       Date:  1986-11       Impact factor: 11.105

2.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

3.  Pre-treatment intravoxel incoherent motion diffusion-weighted imaging predicts treatment outcome in nasopharyngeal carcinoma.

Authors:  Sahrish Qamar; Ann D King; Qi-Yong H Ai; Tiffany Y So; Frankie Kwok Fai Mo; Weitian Chen; Darren M C Poon; Macy Tong; Brigette B Ma; Edwin P Hui; David Ka-Wai Yeung; Yi-Xiang Wang; Jing Yuan
Journal:  Eur J Radiol       Date:  2020-06-11       Impact factor: 3.528

4.  Role of extracellular matrix assembly in interstitial transport in solid tumors.

Authors:  P A Netti; D A Berk; M A Swartz; A J Grodzinsky; R K Jain
Journal:  Cancer Res       Date:  2000-05-01       Impact factor: 12.701

5.  Perfusion CT can predict the response to chemoradiation therapy and survival in esophageal squamous cell carcinoma: initial clinical results.

Authors:  Koichi Hayano; Shinichi Okazumi; Kiyohiko Shuto; Hisahiro Matsubara; Hideaki Shimada; Yoshihiro Nabeya; Toshiki Kazama; Noriyuki Yanagawa; Takenori Ochiai
Journal:  Oncol Rep       Date:  2007-10       Impact factor: 3.906

6.  Treatment outcomes and prognostic factors for thoracic esophageal cancer with clinical evidence of adjacent organ invasion.

Authors:  Yoichi Hamai; Jun Hihara; Manabu Emi; Junya Taomoto; Yoshiro Aoki; Ichiko Kishimoto; Yuta Ibuki; Morihito Okada
Journal:  Anticancer Res       Date:  2013-08       Impact factor: 2.480

7.  Liver cirrhosis: intravoxel incoherent motion MR imaging--pilot study.

Authors:  Alain Luciani; Alexandre Vignaud; Madeleine Cavet; Jeanne Tran Van Nhieu; Ariane Mallat; Lucile Ruel; Alexis Laurent; Jean-François Deux; Pierre Brugieres; Alain Rahmouni
Journal:  Radiology       Date:  2008-12       Impact factor: 11.105

  7 in total
  1 in total

1.  Predicting Grade of Esophageal Squamous Carcinoma: Can Stretched Exponential Model-Based DWI Perform Better Than Bi-Exponential and Mono-Exponential Model?

Authors:  Hui Yang; Xubo Ge; Xiuzhu Zheng; Xiaoqian Li; Jiang Li; Min Liu; Jianzhong Zhu; Jian Qin
Journal:  Front Oncol       Date:  2022-07-14       Impact factor: 5.738

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.