Multiparametric Whole-Body MRI Protocols in Contemporary Clinical Practice: Indications, Technical Considerations, and Emerging Applications

Multiparametric whole-body MRI (WB-MRI) is an advanced cross-sectional imaging technique that integrates anatomic sequences into functional modalities, including diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping and Dixon-based imaging. WB-MRI can evaluate the body from the vertex to the feet in a single session, offering advantages such as generating important biomarkers, robust musculoskeletal tissue assessment, high signal-to-noise ratio, and speed optimization, among others. This review examines current evidence and provides recommendations for multiparametric WB-MRI across a broad spectrum of oncologic and nononcologic indications, including multiple myeloma, lymphoma, melanoma, metastatic prostate cancer, cancer predisposition syndromes, MSK tumors, inflammatory arthritis, and diffuse neuromuscular disorders. Readers will gain an understanding of key technical considerations, including field strength selection, coil configuration, sequence design, and protocol optimization, that radiologists must navigate when implementing WB-MRI in clinical practice. Emerging applications such as AI-assisted lesion segmentation, automated quantitative biomarker analysis, and accelerated image reconstruction are also discussed, which spotlight the evolving role of WB-MRI in disease characterization and the following treatment response. As protocols become more standardized and evidence continues to grow, this review equips radiologists with a practical framework for incorporating multiparametric WB-MRI into contemporary clinical and research settings.

Authors

Institutions

Publication Details

Journal
Journal of Computer Assisted Tomography
Published
2026-09-18
DOI
https://doi.org/10.1097/rct.0000000000001928
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Multiparametric Whole-Body MRI Protocols in Contemporary Clinical Practice: Indications, Technical Considerations, and Emerging Applications

Aimaz Afrough, Alexandra K. Callan, Avneesh Chhabra, Jiya Ghei et al.
Journal of Computer Assisted Tomography
MRI in cancer diagnosis
article

Multiparametric Whole-Body MRI Protocols in Contemporary Clinical Practice: Indications, Technical Considerations, and Emerging Applications

Aimaz Afrough, Alexandra K. Callan, Avneesh Chhabra, Jiya Ghei, Angela He, Ria Chhabra, Amanda Dann
article en

Abstract

Multiparametric whole-body MRI (WB-MRI) is an advanced cross-sectional imaging technique that integrates anatomic sequences into functional modalities, including diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping and Dixon-based imaging. WB-MRI can evaluate the body from the vertex to the feet in a single session, offering advantages such as generating important biomarkers, robust musculoskeletal tissue assessment, high signal-to-noise ratio, and speed optimization, among others. This review examines current evidence and provides recommendations for multiparametric WB-MRI across a broad spectrum of oncologic and nononcologic indications, including multiple myeloma, lymphoma, melanoma, metastatic prostate cancer, cancer predisposition syndromes, MSK tumors, inflammatory arthritis, and diffuse neuromuscular disorders. Readers will gain an understanding of key technical considerations, including field strength selection, coil configuration, sequence design, and protocol optimization, that radiologists must navigate when implementing WB-MRI in clinical practice. Emerging applications such as AI-assisted lesion segmentation, automated quantitative biomarker analysis, and accelerated image reconstruction are also discussed, which spotlight the evolving role of WB-MRI in disease characterization and the following treatment response. As protocols become more standardized and evidence continues to grow, this review equips radiologists with a practical framework for incorporating multiparametric WB-MRI into contemporary clinical and research settings.

Journal of Computer Assisted Tomography
University of North Texas (US), University of North Texas Health Science Center (US), Southwestern Medical Center (US), The University of Texas Southwestern Medical Center (US)
Good health and well-being
Openalex Percentile: Top 11%
MRI in cancer diagnosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.