T2 relaxation time for the early prediction of treatment response to chemoradiation in locally advanced rectal cancer

Author:

Ge Yuxi,Jia Yanlong,Li Xiaohong,Dou Weiqiang,Chen Zhong,Yan Gen

Abstract

Abstract Objectives Poor responders to chemoradiotherapy (CRT) for locally advanced rectal cancer (LARC) can still have a good prognosis if the treatment strategy is changed in time. However, no reliable predictor of early-treatment response has been identified. The purpose of this study was to investigate the role of T2 relaxation time in magnetic resonance imaging (MRI) for the early prediction of a pathological response to CRT in LARC. Methods A total of 123 MRIs were performed on 41 LARC patients immediately before, during, and after CRT. The corresponding tumor volume, T2 relaxation time, and apparent diffusion coefficient (ADC) values at different scan time points were obtained. The Mann–Whitney U test was used to compare the T2 relaxation time between pathological good responders (GR) and non-good responders (non-GR). The area under the curve (AUC) value was used to quantify the diagnostic ability of each parameter in predicting tumor response to CRT. Results Twenty-one (51%) and 20 (49%) were GRs and non-GRs, respectively. T2 relaxation time showed an excellent intraclass correlation coefficient (ICC) of > 0.85 at three-time points. It was significantly lower in the GR group than in the non-GR group during and after CRT. The early T2 decrease had a high AUC of 0.91 in differentiating non-GRs and GRs, similar to 0.90 of the T2 value after CRT. Conclusions T2 relaxation time may help predict treatment response to CRT for LARC earlier, rather than having to wait until the end of CRT, thereby alleviating the physical burden for patients with no good response.

Funder

The Joint Funds for the Health and Education of Fujian Province, China

The Institute of Respiratory Diseases, Xiamen Medical College

The Wuxi Science and Technology Development Fund

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

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