Literature DB >> 29036528

Prediction of pathologic responders to neoadjuvant chemoradiotherapy by diffusion-weighted magnetic resonance imaging in locally advanced esophageal squamous cell carcinoma: a prospective study.

Q-W Li1, B Qiu1, B Wang1, D-L Wang2, S-H Yin2, H Yang3, J-L Liu4, J-H Fu3, M-Z Liu1, C-M Xie2, H Liu1.   

Abstract

This study aims to investigate the role of diffusion-weighted magnetic resonance imaging (DW-MRI) in ESCC patients receiving neoadjuvant concurrent chemoradiotherapy (CCRT), and the efficacy of apparent diffusion coefficient (ADC) values in predicting pathologic response to neoadjuvant CCRT. Twenty-eight locally advanced ESCC patients treated with neoadjuvant CCRT followed by radical resection were prospectively enrolled. DW-MRI was recommended to be performed within 2 weeks before and 4-6 weeks after neoadjuvant CCRT. The calculated ADCs pre- (ADC1) and post- (ADC2) neoadjuvant CCRT, the definite (ΔADC) and percentage changes (ΔADC%) were analyzed for the efficacy of predicting pathologic response to neoadjuvant CCRT. Twenty patients had been identified as responders (tumor regression grade 1-2). Among them, ADC2 (3.02 ± 0.84 vs. 2.12 ± 0.44 × 10-3 mm2/s, P = 0.001) and ΔADC (1.22 ± 0.78 vs 0.64 ± 0.26 × 10-3 mm2/s, P = 0.007) were significantly higher than those of nonresponders (tumor regression grade: 3-5). Receiver operating characteristic analysis revealed that ADC2 exhibited an overall accuracy of in 71.4% in predicting pathologic response, with a sensitivity of 60.0%, a specificity of 100%, a positive predictive value of 100%, and a negative predictive value of 50.0%, when 3.04 × 10-3 mm2/s was used as the cutoff value. ADC value could be useful in predicting pathologic response to neoadjuvant CCRT in ESCC patients. High postneoadjuvant CCRT ADC is a predictive indicator for good response.

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Year:  2018        PMID: 29036528     DOI: 10.1093/dote/dox121

Source DB:  PubMed          Journal:  Dis Esophagus        ISSN: 1120-8694            Impact factor:   3.429


  8 in total

1.  AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.

Authors:  Isabella Castiglioni; Francesca Gallivanone; Paolo Soda; Michele Avanzo; Joseph Stancanello; Marco Aiello; Matteo Interlenghi; Marco Salvatore
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-11       Impact factor: 9.236

2.  Multimodal Imaging of Pathologic Response to Chemoradiation in Esophageal Cancer.

Authors:  Penny Fang; Benjamin C Musall; Jong Bum Son; Amy C Moreno; Brian P Hobbs; Brett W Carter; Bryan M Fellman; Osama Mawlawi; Jingfei Ma; Steven H Lin
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-03-02       Impact factor: 7.038

3.  Preoperative Prediction of Pathologic Response to Neoadjuvant Chemoradiotherapy in Patients With Esophageal Cancer Using 18F-FDG PET/CT and DW-MRI: A Prospective Multicenter Study.

Authors:  Alicia S Borggreve; Lucas Goense; Peter S N van Rossum; Sophie E Heethuis; Richard van Hillegersberg; Jan J W Lagendijk; Marnix G E H Lam; Astrid L H M W van Lier; Stella Mook; Jelle P Ruurda; Marco van Vulpen; Francine E M Voncken; Berthe M P Aleman; Annemarieke Bartels-Rutten; Jingfei Ma; Penny Fang; Benjamin C Musall; Steven H Lin; Gert J Meijer
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-01-25       Impact factor: 7.038

4.  Genomic characteristics in neoadjuvant chemoradiotherapy for locally advanced esophageal squamous cell carcinoma.

Authors:  Wenwu He; Xuefeng Leng; Kangning Wang; Tiaoqin Mao; Lin Peng; Qiang Fang; Wenguang Xiao; Yongtao Han
Journal:  J Gastrointest Oncol       Date:  2020-12

5.  Diagnostic performance of MRI for assessment of response to neoadjuvant chemoradiotherapy in oesophageal cancer.

Authors:  S E Vollenbrock; F E M Voncken; J M van Dieren; D M J Lambregts; M Maas; G J Meijer; L Goense; S Mook; K J Hartemink; P Snaebjornsson; L C Ter Beek; M Verheij; B M P Aleman; R G H Beets-Tan; A Bartels-Rutten
Journal:  Br J Surg       Date:  2019-02-25       Impact factor: 6.939

6.  Diffusion-weighted MRI and 18F-FDG PET/CT in assessing the response to neoadjuvant chemoradiotherapy in locally advanced esophageal squamous cell carcinoma.

Authors:  Xin Xu; Zhi-Yong Sun; Hua-Wei Wu; Chen-Peng Zhang; Bin Hu; Ling Rong; Hai-Yan Chen; Hua-Ying Xie; Yu-Ming Wang; Hai-Ping Lin; Yong-Rui Bai; Qing Ye; Xiu-Mei Ma
Journal:  Radiat Oncol       Date:  2021-07-19       Impact factor: 3.481

7.  Oesophageal squamous cell carcinoma: histogram-derived ADC parameters are not predictive of tumour response to chemoradiotherapy.

Authors:  Maiko Kozumi; Hideki Ota; Takaya Yamamoto; Rei Umezawa; Haruo Matsushita; Yojiro Ishikawa; Noriyoshi Takahashi; Tomonori Matsuura; Kei Takase; Keiichi Jingu
Journal:  Eur Radiol       Date:  2018-05-03       Impact factor: 5.315

8.  Optimal timing for prediction of pathologic complete response to neoadjuvant chemoradiotherapy with diffusion-weighted MRI in patients with esophageal cancer.

Authors:  Alicia S Borggreve; Sophie E Heethuis; Mick R Boekhoff; Lucas Goense; Peter S N van Rossum; Lodewijk A A Brosens; Astrid L H M W van Lier; Richard van Hillegersberg; Jan J W Lagendijk; Stella Mook; Jelle P Ruurda; Gert J Meijer
Journal:  Eur Radiol       Date:  2019-12-10       Impact factor: 5.315

  8 in total

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