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Published in: Radiation Oncology 1/2012

Open Access 01-12-2012 | Research

Preoperative rectal cancer staging with phased-array MR

Authors: Sabina Giusti, Piero Buccianti, Maura Castagna, Elena Fruzzetti, Silvia Fattori, Elisa Castelluccio, Davide Caramella, Carlo Bartolozzi

Published in: Radiation Oncology | Issue 1/2012

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Abstract

Background

We retrospectively reviewed magnetic resonance (MR) images of 96 patients with diagnosis of rectal cancer to evaluate tumour stage (T stage), involvement of mesorectal fascia (MRF), and nodal metastasis (N stage).
Our gold standard was histopathology.

Methods

All studies were performed with 1.5-T MR system (Symphony; Siemens Medical System, Erlangen, Germany) by using a phased-array coil. Our population was subdivided into two groups: the first one, formed by patients at T1-T2-T3, N0, M0 stage, whose underwent MR before surgery; the second group included patients at Tx N1 M0 and T3-T4 Nx M0 stage, whose underwent preoperative MR before neoadjuvant chemoradiation therapy and again 4-6 wks after the end of the treatment for the re-staging of disease.
Our gold standard was histopathology.

Results

MR showed 81% overall agreement with histological findings for T and N stage prediction; for T stage, this rate increased up to 95% for pts of group I (48/96), while for group II (48/96) it decreased to 75%.
Preoperative MR prediction of histologically involved MRF resulted very accurate (sensitivity 100%; specificity 100%) also after chemoradiation (sensitivity 100%; specificity 67%).

Conclusions

Phased-array MRI was able to clearly estimate the entire mesorectal fat and surrounding pelvic structures resulting the ideal technique for local preoperative rectal cancer staging.
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Metadata
Title
Preoperative rectal cancer staging with phased-array MR
Authors
Sabina Giusti
Piero Buccianti
Maura Castagna
Elena Fruzzetti
Silvia Fattori
Elisa Castelluccio
Davide Caramella
Carlo Bartolozzi
Publication date
01-12-2012
Publisher
BioMed Central
Published in
Radiation Oncology / Issue 1/2012
Electronic ISSN: 1748-717X
DOI
https://doi.org/10.1186/1748-717X-7-29

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