Literature DB >> 27323759

Value of diffusion-weighted MRI and apparent diffusion coefficient measurements for predicting the response of locally advanced rectal cancer to neoadjuvant chemoradiotherapy.

Elsa Iannicelli1, Marco Di Pietropaolo2, Emanuela Pilozzi3, Mattia Falchetto Osti4, Maria Valentino5, Luigi Masoni6, Mario Ferri6.   

Abstract

PURPOSE: The aim of our study was to assess the performance value of magnetic resonance imaging (MRI) in the restaging of locally advanced rectal cancer after neoadjuvant chemoradiotherapy (CRT) and in the identification of good vs. poor responders to neoadjuvant therapy.
MATERIALS AND METHODS: A total of 34 patients with locally advanced rectal cancer underwent MRI prior to and after CRT. T stage and tumor regression grade (TRG) on post-CRT MRI was compared with the pathological staging ypT and TRG. Tumor volume and the apparent diffusion coefficient (ADC) were measured using diffusion-weighted imaging (DWI) before and after neoadjuvant CRT; the percentage of tumor volume reduction and the change of ADC (ΔADC) was also calculated. ADC parameters and the percentage of tumor volume reduction were correlated to histopathological results. The diagnostic performance of ADC and volume reduction to assess tumor response was evaluated by calculating the area under the ROC curve and the optimal cut-off values.
RESULTS: A significant correlation between the T stage and the TRG defined in DW-MRI after CRT and the ypT and the TRG observed on the surgical specimens was found (p = 0.001; p < 0.001). The mean post-CRT ADC and ΔADC in responder patients was significantly higher compared to non-responder ones (p = 0.001; p = 0.01). Furthermore, the mean post-CRT ADC values were significantly higher in tumors with T-downstage (p = 0.01).
CONCLUSION: DW-MRI may have a significant role in the restaging and in the evaluation of post-CRT response of locally advanced rectal cancer. Quantitative analysis of DWI through ADC map may result in a promising noninvasive tool to evaluate the response to therapy.

Entities:  

Keywords:  Apparent diffusion coefficient; Chemoradiotherapy; Diffusion-weighted imaging; Locally advanced rectal cancer; Magnetic resonance imaging; TRG

Mesh:

Year:  2016        PMID: 27323759     DOI: 10.1007/s00261-016-0805-9

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  9 in total

Review 1.  Diffusion-weighted imaging in rectal cancer: current applications and future perspectives.

Authors:  Niels W Schurink; Doenja M J Lambregts; Regina G H Beets-Tan
Journal:  Br J Radiol       Date:  2019-03-05       Impact factor: 3.039

2.  Performances of Whole Tumor Texture Analysis Based on MRI: Predicting Preoperative T Stage of Rectal Carcinomas.

Authors:  Jia You; Jiandong Yin
Journal:  Front Oncol       Date:  2021-08-03       Impact factor: 6.244

3.  MR tumor regression grade for pathological complete response in rectal cancer post neoadjuvant chemoradiotherapy: a systematic review and meta-analysis for accuracy.

Authors:  Jong Keon Jang; Sang Hyun Choi; Seong Ho Park; Kyung Won Kim; Hyun Jin Kim; Jong Seok Lee; Ah Young Kim
Journal:  Eur Radiol       Date:  2020-01-17       Impact factor: 5.315

4.  Local staging of rectal cancer using fused high resolution diffusion weighted imaging and modified MR rectography.

Authors:  Xue Tang; Yan Luo; Shipai Zhang; Ligang Xia; Jingshan Gong
Journal:  Quant Imaging Med Surg       Date:  2019-09

5.  Pretreatment Apparent Diffusion Coefficient Cannot Predict Histopathological Features and Response to Neoadjuvant Radiochemotherapy in Rectal Cancer: A Meta-Analysis.

Authors:  Alexey Surov; Maciej Pech; Maciej Powerski; Katja Woidacki; Andreas Wienke
Journal:  Dig Dis       Date:  2021-03-04       Impact factor: 2.404

6.  Potential role of functional imaging in predicting outcome for patients treated with carbon ion therapy: a review.

Authors:  Giulia Riva; Sara Imparato; Giovanni Savietto; Mattia Pecorilla; Alberto Iannalfi; Amelia Barcellini; Sara Ronchi; Maria Rosaria Fiore; Chiara Paganelli; Giulia Buizza; Mario Ciocca; Guido Baroni; Lorenzo Preda; Ester Orlandi
Journal:  Br J Radiol       Date:  2021-09-14       Impact factor: 3.039

7.  Intravoxel incoherent motion diffusion-weighted imaging for discriminating the pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Authors:  Wen Lu; Hou Jing; Zhou Ju-Mei; Nie Shao-Lin; Cao Fang; Yu Xiao-Ping; Lu Qiang; Zeng Biao; Zhu Su-Yu; Hu Ying
Journal:  Sci Rep       Date:  2017-08-17       Impact factor: 4.379

8.  Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients.

Authors:  Jia Wang; Jingjing Chen; Ruizhi Zhou; Yuanxiang Gao; Jie Li
Journal:  BMC Cancer       Date:  2022-04-19       Impact factor: 4.638

9.  Prediction of different stages of rectal cancer: Texture analysis based on diffusion-weighted images and apparent diffusion coefficient maps.

Authors:  Jian-Dong Yin; Li-Rong Song; He-Cheng Lu; Xu Zheng
Journal:  World J Gastroenterol       Date:  2020-05-07       Impact factor: 5.742

  9 in total

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