High-resolution diffusion MRI of rectal cancer ex vivo surgical specimens reveals post-treatment microstructural characteristics of tissue components
Abstract Advances in organ-preserving rectal cancer treatment require accurate restaging after neoadjuvant therapy (NAT). However, standard tools - endoscopy and T 2 -weighted pelvic MRI - struggle to differentiate residual tumour from normal tissue and treatment-induced changes, yielding high specificity but low sensitivity for complete response. Diffusion MRI (dMRI) techniques inform about tissue microstructure, such as directional organisation and cellular packing, yet their utility in post-NAT evaluation remains unexplored. This study performed high-resolution ex vivo dMRI on post-NAT total mesorectal excision (TME) specimens to map diffusion properties of tissue components. Five formalin-fixed samples were scanned at 9.4 T using diffusion-tensor (DTI) and diffusion-kurtosis (DKI) alongside multi-echo T 2 mapping, co-registered to histology via morphological landmarks and analysed using a linear mixed-effects model. Muscularis propria showed the highest fractional anisotropy (FA), allowing direction-encoded colour FA maps to distinguish muscular layers and identify histologically confirmed tumour invasion. While T 2 mapping only distinguished fibrosis ( p < 0.05), diffusion metrics provided broader differentiation: tumour exhibited the lowest mean diffusivity (0.0006 ± 0.0001 mm²/s) and elevated mean kurtosis (0.87 ± 0.06), whereas fibrosis showed higher diffusivity (0.001 ± 0.0002 mm²/s) compared to normal wall. Ultimately, advanced dMRI distinguishes tissue components beyond conventional contrast by providing microstructural information, requiring validation in larger cohorts as biomarkers for treatment response and ypT staging.
Authors
- Jorge B. Brito (ORCID: https://orcid.org/0000-0002-9099-0997)
- Inês Santiago (ORCID: https://orcid.org/0000-0001-7711-3669)
- Richard J. Heald (ORCID: https://orcid.org/0009-0000-4344-8268)
- Stéphanie Nougaret (ORCID: https://orcid.org/0000-0002-6398-8648)
- Amjad C. Parvaiz (ORCID: https://orcid.org/0000-0002-4655-1006)
- Fernández Laura
- Raluca Popița
- José Azevedo (ORCID: https://orcid.org/0000-0002-2918-3088)
- Noam Shemesh (ORCID: https://orcid.org/0000-0001-6681-5876)
- Ana R. Fouto (ORCID: https://orcid.org/0000-0002-0362-9571)
- Susana Ourô (ORCID: https://orcid.org/0000-0002-0764-6694)
- Mireia Castillo-Martín (ORCID: https://orcid.org/0000-0001-8926-6013)
- Andrada Ianuș (ORCID: https://orcid.org/0000-0001-9893-1724)
- Nikolaos Papanikolaou (ORCID: https://orcid.org/0000-0002-1028-1016)
- Miguel Chambel
- Nuno Couto
- Hasti Calá (ORCID: https://orcid.org/0000-0002-4021-544X)
- Ignacio Herrando
- Shermann Moreira
Institutions
- Champalimaud Foundation (PT)
- King's College London (GB)
- Institute of Oncology Prof. Dr. Ion Chiricuta (RO)
- Algarve Biomedical Center (PT)
- Hospital da Luz (PT)
- Institut de Recherche en Cancérologie de Montpellier (FR)
- Unidade Local de Saúde do Algarve (PT)
- Weizmann Institute of Science (IL)
Publication Details
- Journal
- npj Imaging
- Published
- 2026-10-16
- DOI
- https://doi.org/10.1038/s44303-026-00197-0
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundação Champalimaud
- HORIZON EUROPE Framework Programme
- Fundação para a Ciência e a Tecnologia