Literature DB >> 28273745

Histogram analysis of apparent diffusion coefficient for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy.

Jie Meng1, Lijing Zhu2, Li Zhu1, Yun Ge3, Jian He1, Zhengyang Zhou1, Xiaofeng Yang4.   

Abstract

Background Apparent diffusion coefficient (ADC) histogram analysis has been widely used in determining tumor prognosis. Purpose To investigate the dynamic changes of ADC histogram parameters during concurrent chemo-radiotherapy (CCRT) in patients with advanced cervical cancers. Material and Methods This prospective study enrolled 32 patients with advanced cervical cancers undergoing CCRT who received diffusion-weighted (DW) magnetic resonance imaging (MRI) before CCRT, at the end of the second and fourth week during CCRT and one month after CCRT completion. The ADC histogram for the entire tumor volume was generated, and a series of histogram parameters was obtained. Dynamic changes of those parameters in cervical cancers were investigated as early biomarkers for treatment response. Results All histogram parameters except AUClow showed significant changes during CCRT (all P < 0.05). There were three variable trends involving different parameters. The mode, 5th, 10th, and 25th percentiles showed similar early increase rates (33.33%, 33.99%, 34.12%, and 30.49%, respectively) at the end of the second week of CCRT. The pre-CCRT 5th and 25th percentiles of the complete response (CR) group were significantly lower than those of the partial response (PR) group. Conclusion A series of ADC histogram parameters of cervical cancers changed significantly at the early stage of CCRT, indicating their potential in monitoring early tumor response to therapy.

Entities:  

Keywords:  Uterine cervical neoplasms; chemo-radiotherapy; diffusion-weighted magnetic resonance imaging; histogram; treatment response

Mesh:

Year:  2017        PMID: 28273745     DOI: 10.1177/0284185117694509

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  5 in total

1.  Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2- Weighted Images.

Authors:  Xin-Xiang Li; Ting-Ting Lin; Bin Liu; Wei Wei
Journal:  Front Bioeng Biotechnol       Date:  2020-06-11

2.  Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren's Syndrome.

Authors:  Chen Chu; Qianqian Feng; Huayong Zhang; Yun Zhu; Weibo Chen; Jian He; Lingyun Sun; Zhengyang Zhou
Journal:  Sci Rep       Date:  2019-07-03       Impact factor: 4.379

Review 3.  Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy.

Authors:  Petra J van Houdt; Yingli Yang; Uulke A van der Heide
Journal:  Front Oncol       Date:  2021-01-29       Impact factor: 6.244

4.  Whole-volume ADC Histogram and Texture Analyses of Parotid Glands as an Image Biomarker in Evaluating Disease Activity of Primary Sjögren's Syndrome.

Authors:  Chen Chu; Fengxian Wang; Huayong Zhang; Yun Zhu; Chun Wang; Weibo Chen; Jian He; Lingyun Sun; Zhengyang Zhou
Journal:  Sci Rep       Date:  2018-10-18       Impact factor: 4.379

5.  Evaluation of diffusion-weighted MRI and (18F) fluorothymidine-PET biomarkers for early response assessment in patients with operable non-small cell lung cancer treated with neoadjuvant chemotherapy.

Authors:  Dominic Carlin; Alexander Weller; Gem Kramer; Yan Liu; John C Waterton; Arturo Chiti; Martina Sollini; A Joop de Langen; Mary E R O'Brien; Maria Urbanowicz; Bart Km Jacobs; Nandita deSouza
Journal:  BJR Open       Date:  2019-07-20
  5 in total

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