Published in:
Open Access
01-02-2016 | Gastrointestinal
Magnetization transfer imaging to assess tumour response after chemoradiotherapy in rectal cancer
Authors:
Milou H Martens, Doenja M. J. Lambregts, Nickolas Papanikolaou, Styliani Alefantinou, Monique Maas, Georgios C. Manikis, Kostantinos Marias, Robert G. Riedl, Geerard L. Beets, Regina G. H. Beets-Tan
Published in:
European Radiology
|
Issue 2/2016
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Abstract
Purpose
Single-slice magnetization transfer (MT) imaging has shown promising results for evaluating post-radiation fibrosis. The study aim was to evaluate the value of multislice MT imaging to assess tumour response after chemoradiotherapy by comparing magnetization transfer ratios (MTR) with histopathological tumour regression grade (TRG).
Materials and Methods
Thirty patients with locally advanced rectal cancer (cT3-4 and/or cN2) underwent routine restaging MRI 8 weeks post-chemoradiotherapy, including multislice MT-sequence, covering the entire tumour bed. Two independent readers delineated regions of interest on MTR maps, covering all potential remaining tumour and fibrotic areas. Mean MTR and histogram parameters (minimum, maximum, median, standard deviation, skewness, kurtosis, and 5-30-70-95th percentiles) were calculated. Reference standard was histological TRG1-2 (good response) and TRG3-5 (poor response).
Results
24/30 patients were male; mean age was 67.7 ± 10.8 years. Mean MTR rendered AUCs of 0.65 (reader1) and 0.87 (reader2) to differentiate between TRG1-2 versus TRG3-5. Best results were obtained for 95th percentile (AUC 0.75- 0.88). Interobserver agreement was moderate (ICC 0.50) for mean MTR and good (ICC 0.80) for 95th percentile.
Conclusions
MT imaging is a promising tool to assess tumour response post-chemoradiotherapy in rectal cancer. Particularly, 95th percentile results in AUCs up to 0.88 to discriminate a good tumour response.
Key Points
• The mean MTR can differentiate between good and poor responders after chemoradiation.
• In addition to measurement of the mean value, histogram analyses can be beneficial.
• The histogram parameter 95
th
percentile can reach AUCs of 0.75–0.88.