Radiomic Features of Mesorectal Fat as Indicators of Response in Rectal Cancer Patients Undergoing Neoadjuvant Therapy

We developed an MRI-based radiomic model capable of differentiating and predicting between two groups of rectal cancer patients: responders and non-responders to neoadjuvant chemoradiotherapy (nCRT). This model has the potential to identify, at an early stage, lesions with a high likelihood of requiring surgery and those that could potentially be managed with medical treatment alone.

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Publication Details

Journal
Tomography
Published
2025-04-07
DOI
https://doi.org/10.3390/tomography11040044
Citations
1
Primary Topic
Colorectal Cancer Surgical Treatments
Type
article
Field-Weighted Citation Impact
1.05
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article

Radiomic Features of Mesorectal Fat as Indicators of Response in Rectal Cancer Patients Undergoing Neoadjuvant Therapy

Linda Calistri, Ginevra Danti, S. Busoni, Vittorio Miele et al.
1 citations
Tomography
Colorectal Cancer Surgical Treatments
1.05
article

Radiomic Features of Mesorectal Fat as Indicators of Response in Rectal Cancer Patients Undergoing Neoadjuvant Therapy

Linda Calistri, Ginevra Danti, S. Busoni, Vittorio Miele, Sofia Boccioli, Francesca Treballi, Sebastiano Paolucci
article en
1 citations

Abstract

We developed an MRI-based radiomic model capable of differentiating and predicting between two groups of rectal cancer patients: responders and non-responders to neoadjuvant chemoradiotherapy (nCRT). This model has the potential to identify, at an early stage, lesions with a high likelihood of requiring surgery and those that could potentially be managed with medical treatment alone.

TomographyVol. 11(4)
Azienda Ospedaliero-Universitaria Careggi (IT), University of Florence (IT)
Good health and well-being
Openalex Percentile: Top 23%
Colorectal Cancer Surgical Treatments
1.05
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Radiomic Features of Mesorectal Fat as Indicators of Response in Rectal Cancer Patients Undergoing Neoadjuvant Therapy — Linda Calistri, Ginevra Danti, et al. · Tomography (2025) | TGRS Research Map | TGRS