Optimized Parameters of Diffusion-Weighted MRI for Prediction of the Response to Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer

BioMed Research International - Tập 2019 - Trang 1-9 - 2019
Jie Li1, Wang Jia2, Jing Pang1, Shougen Cao3, Jingjing Chen1, Wenjian Xu1
1Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
2Department of Ultrasound, Qingdao Women and Children Hospital, Qingdao, Shandong, China
3Department of General Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China

Tóm tắt

Aim. To identify the optimal diffusion-weighted MRI-derived parameters for predicting the response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Methods. This prospective study enrolled 92 patients who underwent neoadjuvant chemoradiotherapy. Diffusion-weighted MRI sequences with two b-value combinations of b (0, 800) and b (0, 1000) were acquired before the start of neoadjuvant chemoradiotherapy and surgery. The pathological tumor regression grade was obtained according to the Mandard criteria, recommended by the seventh edition of the American Joint Committee on Cancer, to act as the reference standard. Pathological good responders (pathological tumor regression grade 1-2) were compared with poor responders (pathological tumor regression grade 3–5). Results. The good responder group contained 37 (40.2%) patients and the poor responder group 55 (59.8%) patients. Both before and after neoadjuvant chemoradiotherapy, the mean ADC value for b = 1000 was significantly higher than that for b = 800. In the two patient groups, the post-ADC value and ΔADC for b = 800 were significantly lower than those for b = 1000, but percentages of ADC increase for b = 800 and b = 1000 showed no significant difference. Conclusions. The percentage of ADC increase, as an optimized predictor unaffected by different b-values, may have a significant role in differentiating those patients with a good response to N-CRT from those with a poor response.

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BioMed Research International

Tập 2019

1-9

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