Literature DB >> 25497874

Can perfusion MRI predict response to preoperative treatment in rectal cancer?

Milou H Martens1, Samina Subhani2, Luc A Heijnen3, Doenja M J Lambregts2, Jeroen Buijsen4, Monique Maas2, Robert G Riedl5, Cecile R L P N Jeukens2, Geerard L Beets6, Ewelina Kluza2, Regina G H Beets-Tan7.   

Abstract

BACKGROUND AND
PURPOSE: Dynamic contrast-enhanced MRI (DCE-MRI) provides information on perfusion and could identify good prognostic tumors. Aim of this study was to evaluate whether DCE-MRI using a novel blood pool contrast-agent can accurately predict the response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
MATERIALS AND METHODS: Thirty patients underwent DCE-MRI before and 7-10weeks after chemoradiotherapy. Regions of interest were drawn on DCE-MRI with T2W-images as reference. DCE-MRI-based kinetic parameters (initial slope, initial peak, late slope, and AUC at 60, 90, and 120s) determined pre- and post-CRT and their Δ were compared between good (TRG1-2) and poor (TRG3-5) responders. Optimal thresholds were determined and sensitivities, specificities, positive predictive values (PPV), and negative predictive values (NPV) were calculated.
RESULTS: Pre-therapy, the late slope was able to discriminate between good and poor responders (-0.05×10(-3) vs. 0.62×10(-3), p<0.001) with an AUC of 0.90, sensitivity 92%, specificity 82%, PPV 80%, and NPV 93%. Other pre-CRT parameters showed no significant differences, nor any post-CRT parameters or their Δ.
CONCLUSIONS: The kinetic parameter 'late slope' derived from DCE-MRI could potentially be helpful to predict before the onset of neoadjuvant chemoradiotherapy which tumors are likely going to respond. This could allow for personalized treatment-options in rectal cancer patients.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Neoadjuvant chemoradiation; Preoperative treatment; Rectal cancer; Response prediction

Mesh:

Substances:

Year:  2014        PMID: 25497874     DOI: 10.1016/j.radonc.2014.11.044

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  19 in total

1.  Non-invasive MR assessment of macroscopic and microscopic vascular abnormalities in the rectal tumour-surrounding mesorectum.

Authors:  Ewelina Kluza; Jean-Paul J E Kleijnen; Milou H Martens; Dorit Rennspiess; Monique Maas; Cécile R L P N Jeukens; Robert G Riedl; Axel zur Hausen; Geerard L Beets; Regina G H Beets-Tan
Journal:  Eur Radiol       Date:  2015-08-30       Impact factor: 5.315

2.  Multiparametric MRI of rectal cancer-repeatability of quantitative data: a feasibility study.

Authors:  Bengi Gürses; Emre Altınmakas; Medine Böge; M Serhat Aygün; Onur Bayram; Emre Balık
Journal:  Diagn Interv Radiol       Date:  2020-03       Impact factor: 2.630

3.  Effect of color visualization and display hardware on the visual assessment of pseudocolor medical images.

Authors:  Silvina Zabala-Travers; Mina Choi; Wei-Chung Cheng; Aldo Badano
Journal:  Med Phys       Date:  2015-06       Impact factor: 4.071

4.  Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Authors:  Yanfen Cui; Xiaotang Yang; Zhongqiang Shi; Zhao Yang; Xiaosong Du; Zhikai Zhao; Xintao Cheng
Journal:  Eur Radiol       Date:  2018-08-20       Impact factor: 5.315

Review 5.  Functional MRI for quantitative treatment response prediction in locally advanced rectal cancer.

Authors:  Trang T Pham; Gary P Liney; Karen Wong; Michael B Barton
Journal:  Br J Radiol       Date:  2017-03-07       Impact factor: 3.039

Review 6.  Multiparametric MRI in rectal cancer.

Authors:  Bengi Gürses; Medine Böge; Emre Altınmakas; Emre Balık
Journal:  Diagn Interv Radiol       Date:  2019-05       Impact factor: 2.630

7.  Dynamic contrast-enhanced magnetic resonance imaging for evaluating early response to radiosurgery in patients with vestibular schwannoma.

Authors:  Halil Özer; Merve Yazol; Nesrin Erdoğan; Ömer Hakan Emmez; Gökhan Kurt; Ali Yusuf Öner
Journal:  Jpn J Radiol       Date:  2022-01-17       Impact factor: 2.374

8.  MRI for evaluation of treatment response in rectal cancer.

Authors:  Ivana M Blazic; Naomi M Campbell; Marc J Gollub
Journal:  Br J Radiol       Date:  2016-06-22       Impact factor: 3.039

9.  Exercise-induced calf muscle hyperemia: quantitative mapping with low-dose dynamic contrast enhanced magnetic resonance imaging.

Authors:  Jeff L Zhang; Gwenael Layec; Christopher Hanrahan; Christopher C Conlin; Corey Hart; Nan Hu; Lillian Khor; Michelle Mueller; Vivian S Lee
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-11-02       Impact factor: 4.733

Review 10.  Advanced imaging of colorectal cancer: From anatomy to molecular imaging.

Authors:  Roberto García-Figueiras; Sandra Baleato-González; Anwar R Padhani; Ana Marhuenda; Antonio Luna; Lidia Alcalá; Ana Carballo-Castro; Ana Álvarez-Castro
Journal:  Insights Imaging       Date:  2016-04-30
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