Wei Yang1, Jin Wei Qiang2, Hai Ping Tian3, Bing Chen1, Ai Jun Wang1, Jian Guo Zhao1. 1. Department of Radiology, The General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, China. 2. Department of Radiology, Jinshan Hospital, Fudan University, 1508 Longhang Road, Shanghai, 201508, China. dr.jinweiqiang@163.com. 3. Department of Pathology, The General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, China.
Abstract
OBJECTIVE: To investigate the prediction of response to concurrent chemoradiotherapy (CCRT) through a combination of pretreatment multi-parametric magnetic resonance imaging (MRI) with clinical prognostic factors (CPF) in cervical cancer patients. METHODS: Sixty-five patients underwent conventional MRI, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced MRI (DCE-MRI) before CCRT. The patients were divided into non- and residual tumour groups according to post-treatment MRI. Pretreatment MRI parameters and CPF between the two groups were compared and prognostic factors, optimal thresholds, and predictive performance for post-treatment residual tumour occurrence were estimated. RESULTS: The residual group showed a lower maximum slope of increase (MSIL) and signal enhancement ratio (SERL) in low-perfusion subregions, a higher apparent diffusion coefficient (ADC) value, and a higher stage than the non-residual tumour group (p < 0.001, p = 0.003, p < 0.001, and p < 0.001, respectively). MSIL and ADC were independent prognostic factors. The combination of both measures improved the diagnostic performance compared with individual MRI parameters. A further combination of these two factors with CPF exhibited the highest predictive performance. CONCLUSIONS: Pretreatment MSIL and ADC were independent prognostic factors for cervical cancer. The predictive capacity of multi-parametric MRI was superior to individual MRI parameters. The combination of multi-parametric MRI with CPF further improved the predictive performance. KEY POINTS: • Pretreatment MSI L and ADC were independent prognostic factors for post-treatment residual tumours. • The residual groups showed lower MSI L , higher ADC and higher stage. • The predictive capacity of multi-parametric MRI was superior to individual MRI parameters. • The combination of multi-parametric MRI with CPF exhibited the highest predictive performance.
OBJECTIVE: To investigate the prediction of response to concurrent chemoradiotherapy (CCRT) through a combination of pretreatment multi-parametric magnetic resonance imaging (MRI) with clinical prognostic factors (CPF) in cervical cancerpatients. METHODS: Sixty-five patients underwent conventional MRI, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced MRI (DCE-MRI) before CCRT. The patients were divided into non- and residual tumour groups according to post-treatment MRI. Pretreatment MRI parameters and CPF between the two groups were compared and prognostic factors, optimal thresholds, and predictive performance for post-treatment residual tumour occurrence were estimated. RESULTS: The residual group showed a lower maximum slope of increase (MSIL) and signal enhancement ratio (SERL) in low-perfusion subregions, a higher apparent diffusion coefficient (ADC) value, and a higher stage than the non-residual tumour group (p < 0.001, p = 0.003, p < 0.001, and p < 0.001, respectively). MSIL and ADC were independent prognostic factors. The combination of both measures improved the diagnostic performance compared with individual MRI parameters. A further combination of these two factors with CPF exhibited the highest predictive performance. CONCLUSIONS: Pretreatment MSIL and ADC were independent prognostic factors for cervical cancer. The predictive capacity of multi-parametric MRI was superior to individual MRI parameters. The combination of multi-parametric MRI with CPF further improved the predictive performance. KEY POINTS: • Pretreatment MSI L and ADC were independent prognostic factors for post-treatment residual tumours. • The residual groups showed lower MSI L , higher ADC and higher stage. • The predictive capacity of multi-parametric MRI was superior to individual MRI parameters. • The combination of multi-parametric MRI with CPF exhibited the highest predictive performance.
Authors: Ruben S A Goedegebuure; Leonie K de Klerk; Adam J Bass; Sarah Derks; Victor L J L Thijssen Journal: Front Immunol Date: 2019-01-14 Impact factor: 7.561