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Integrating MRI-based tumour staging within the TNM classification system in modern prostate cancer management

delete2026-07-09
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OA
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G
Georgios Agrotis *
A
Andrei Purysko
A
Anwar Padhani
F
Fredrik Jäderling
G
Geert Villeirs
S
Samuel J. Withey
M
Maarten de Rooij
T
Tristan Barrett
I
Ivo G. Schoots
DOI:10.1186/s13244-026-02346-wdelete
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Abstract

Abstract

En 中文
MRI has transformed prostate cancer diagnosis, risk stratification, and treatment planning. However, the tumour-node-metastasis (TNM) classification continues to rely exclusively on digital rectal examination (DRE) for clinical T-staging, despite DRE’s limited diagnostic accuracy and prognostic performance. This mismatch between modern MRI practice and outdated staging criteria undermines prognostication and treatment decision-making. In this review, we synthesise current evidence on DRE- and MRI-based local staging, discuss the limitations of the current TNM framework, and present a proposal for parallel reporting of MRI-based T-staging (mrT) alongside clinical T-staging (cT). We further outline the rationale for developing MRI-derived prognostic groups, benchmarked against pathology and long-term oncologic outcomes, and present a framework intended to support future evidence-based revisions of the official TNM classification. Clinical adoption of prostate MRI, TNM T-staging still relies on digital rectal examination, a method with limited sensitivity and prognostic value. This discordance leads to stage misclassification and suboptimal risk stratification. Parallel reporting of MRI-based T-staging and development of MRI-derived prognostic groups are essential to align staging with contemporary imaging practice, support evidence-based treatment decisions, and inform future revisions of the TNM classification system.
Keywords:
Prostate cancer
Magnetic resonance imaging
Digital rectal examination
Extraprostatic extension
Tumour staging
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Journal

Insights into Imaging cover
Insights into Imaging
IF:
4.5
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1.8K
Citations:
7.5K

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D
Department of Medical Imaging
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631
Papers: 270
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P
paul strickland scanner centre
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2
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D
department of radiology
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