Diffusion-weighted MRI for predicting and assessing treatment response of liver metastases from CRC - A systematic review and meta-analysis.

Apparent diffusion coefficient Colorectal cancer Diffusion weighted imaging Liver metastasis Magnetic resonance imaging Treatment response

Journal

European journal of radiology
ISSN: 1872-7727
Titre abrégé: Eur J Radiol
Pays: Ireland
ID NLM: 8106411

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 21 09 2022
revised: 29 03 2023
accepted: 03 04 2023
medline: 12 5 2023
pubmed: 20 4 2023
entrez: 19 04 2023
Statut: ppublish

Résumé

The evaluation of response to chemotherapy and targeted therapies in colorectal liver metastases has traditionally been based on size changes, as per the RECIST criteria. However, therapy may alter tissue composition and not only tumor size, therefore, functional imaging techniques such as diffusion-weighted magnetic resonance imaging (DWI) may offer a more comprehensive assessment of treatment response. The aim of this systematic review and meta-analysis was to evaluate the use of DWI in the prediction and assessment of response to treatment in colorectal liver metastases and to determine if there is a baseline apparent diffusion coefficient (ADC) cut-off value that can predict a favorable response. A literature search was conducted using the MEDLINE/PubMed database, and risk of bias was evaluated using the QUADAS-2 tool. The mean differences between responders and non-responders were pooled. A total of 16 studies met the inclusion criteria, and various diffusion-derived techniques and coefficients were found to have potential for predicting and assessing treatment response. However, discrepancies were noted between studies. The most consistent predictor of response was a lower baseline ADC value calculated using traditional mono-exponential methods. Non-mono-exponential techniques for calculating DWI-derived parameters were also reported. A meta-analysis of a subset of studies failed to establish a cut-off value of ADC due to heterogeneity, but revealed a pooled mean difference of -0.12 × 10

Identifiants

pubmed: 37075628
pii: S0720-048X(23)00124-9
doi: 10.1016/j.ejrad.2023.110810
pii:
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

110810

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Tamer Sobeh (T)

Institute of Medical Imaging, Sheba Medical Center at Tel HaShomer, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel. Electronic address: tamer.sobeh@gmail.com.

Yael Inbar (Y)

Institute of Medical Imaging, Sheba Medical Center at Tel HaShomer, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Sara Apter (S)

Institute of Medical Imaging, Sheba Medical Center at Tel HaShomer, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Shelly Soffer (S)

Internal Medicine B, Assuta Medical Center, Ashdod, Israel; Ben-Gurion University of the Negev, Be'er Sheva, Israel.

Roi Anteby (R)

Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel; Department of General Surgery, Sheba Medical Center at Tel HaShomer, Israel.

Matan Kraus (M)

Institute of Medical Imaging, Sheba Medical Center at Tel HaShomer, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Eli Konen (E)

Institute of Medical Imaging, Sheba Medical Center at Tel HaShomer, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Eyal Klang (E)

Institute of Medical Imaging, Sheba Medical Center at Tel HaShomer, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

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