Literature DB >> 33989042

Quantitative magnetic resonance imaging for focal liver lesions: bridging the gap between research and clinical practice.

Roberto Cannella1,2,3, Riccardo Sartoris1, Jules Grégory1,4, Lorenzo Garzelli1,4, Valérie Vilgrain1,4,5, Maxime Ronot1,4,5, Marco Dioguardi Burgio1,5.   

Abstract

Magnetic resonance imaging (MRI) is highly important for the detection, characterization, and follow-up of focal liver lesions. Several quantitative MRI-based methods have been proposed in addition to qualitative imaging interpretation to improve the diagnostic work-up and prognostics in patients with focal liver lesions. This includes DWI with apparent diffusion coefficient measurements, intravoxel incoherent motion, perfusion imaging, MR elastography, and radiomics. Multiple research studies have reported promising results with quantitative MRI methods in various clinical settings. Nevertheless, applications in everyday clinical practice are limited. This review describes the basic principles of quantitative MRI-based techniques and discusses the main current applications and limitations for the assessment of focal liver lesions.

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Year:  2021        PMID: 33989042      PMCID: PMC8173689          DOI: 10.1259/bjr.20210220

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.629


  104 in total

1.  Diffusion-weighted magnetic resonance imaging to predict response of hepatocellular carcinoma to chemoembolization.

Authors:  Johnathan C Chung; Neel K Naik; Robert J Lewandowski; Jie Deng; Mary F Mulcahy; Laura M Kulik; Kent T Sato; Robert K Ryu; Riad Salem; Andrew C Larson; Reed A Omary
Journal:  World J Gastroenterol       Date:  2010-07-07       Impact factor: 5.742

2.  Predicting early recurrence of hepatocellular carcinoma with texture analysis of preoperative MRI: a radiomics study.

Authors:  T C H Hui; T K Chuah; H M Low; C H Tan
Journal:  Clin Radiol       Date:  2018-09-10       Impact factor: 2.350

3.  Relationship of apparent diffusion coefficient to survival for patients with unresectable primary hepatocellular carcinoma after chemoembolization.

Authors:  Sheng Dong; Xiao-Dan Ye; Zheng Yuan; Li-Chao Xu; Xiang-Sheng Xiao
Journal:  Eur J Radiol       Date:  2011-02-05       Impact factor: 3.528

4.  Robustness and Reproducibility of Radiomics in Magnetic Resonance Imaging: A Phantom Study.

Authors:  Bettina Baeßler; Kilian Weiss; Daniel Pinto Dos Santos
Journal:  Invest Radiol       Date:  2019-04       Impact factor: 6.016

Review 5.  State-of-the-art in radiomics of hepatocellular carcinoma: a review of basic principles, applications, and limitations.

Authors:  Joao Manoel Miranda Magalhaes Santos; Brunna Clemente Oliveira; Jose de Arimateia Batista Araujo-Filho; Antonildes N Assuncao-Jr; Felipe Augusto de M Machado; Camila Carlos Tavares Rocha; Joao Vicente Horvat; Marcos Roberto Menezes; Natally Horvat
Journal:  Abdom Radiol (NY)       Date:  2020-02

6.  Texture-based classification of focal liver lesions on MRI at 3.0 Tesla: a feasibility study in cysts and hemangiomas.

Authors:  Marius E Mayerhoefer; Wolfgang Schima; Siegfried Trattnig; Katja Pinker; Vanessa Berger-Kulemann; Ahmed Ba-Ssalamah
Journal:  J Magn Reson Imaging       Date:  2010-08       Impact factor: 4.813

7.  Magnetic resonance texture analysis for the identification of cytokeratin 19-positive hepatocellular carcinoma.

Authors:  He-Qing Wang; Chun Yang; Meng-Su Zeng; Sheng-Xiang Rao; Yuan Ji; Xin Weng; Ji-Yong Wang; Ruo-Fan Sheng
Journal:  Eur J Radiol       Date:  2019-06-18       Impact factor: 3.528

8.  Pharmacokinetic parameters from 3-Tesla DCE-MRI as surrogate biomarkers of antitumor effects of bevacizumab plus FOLFIRI in colorectal cancer with liver metastasis.

Authors:  Yoshinori Hirashima; Yasuhide Yamada; Ukihide Tateishi; Ken Kato; Mototaka Miyake; Yosuke Horita; Kohei Akiyoshi; Atsuo Takashima; Natsuko Okita; Daisuke Takahari; Takako Nakajima; Tetsuya Hamaguchi; Yasuhiro Shimada; Kuniaki Shirao
Journal:  Int J Cancer       Date:  2011-11-28       Impact factor: 7.396

9.  Predictive value of apparent diffusion coefficient in evaluation of colorectal carcinoma hepatic metastases' response to radiofrequency ablation.

Authors:  Edyta Szurowska; Tomasz K Nowicki; Ewa Izycka-Swieszewska; Dariusz Zadrozny; Karolina Markiet; Michal Studniarek
Journal:  J Magn Reson Imaging       Date:  2013-03-22       Impact factor: 4.813

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  2 in total

Review 1.  Current Imaging Diagnosis of Hepatocellular Carcinoma.

Authors:  Evangelos Chartampilas; Vasileios Rafailidis; Vivian Georgopoulou; Georgios Kalarakis; Adam Hatzidakis; Panos Prassopoulos
Journal:  Cancers (Basel)       Date:  2022-08-18       Impact factor: 6.575

2.  Development of a novel combined nomogram model integrating Rad-score, age and ECOG to predict the survival of patients with hepatocellular carcinoma treated by transcatheter arterial chemoembolization.

Authors:  Aiai Liu; Bo Liu; Xiaodong Duan; Bo Yang; Yiren Wang; Ping Dong; Ping Zhou
Journal:  J Gastrointest Oncol       Date:  2022-08
  2 in total

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