Literature DB >> 29435147

Morphologic predictors of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Chongda Zhang1, Feng Ye1, Yuan Liu1, Han Ouyang1, Xinming Zhao1, Hongmei Zhang1.   

Abstract

PURPOSE: To evaluate the value of morphological parameters that can be obtained conveniently by MRI for predicting pathologically complete response (pCR) in patients with rectal cancer.
MATERIALS AND METHODS: A cohort of 101 patients was examined using MRI before and after Neoadjuvant chemoradiotherapy (nCRT). Morphological parameters including maximum tumor area (MTA), maximum tumor length (MTL) and maximum tumor thickness (MTT), as well as cylindrical approximated tumor volume (CATV), distance to anal verge (DTA), and the reduction rates were evaluated by two experienced readers independently.
RESULTS: Post-nCRT MTA and MTL, reduction rates and pre-nCRT DTA were proved to be significantly different between pCR and non-pCR with the AUCs of 0.672-0.853. The sensitivity and specificity for assessing pCR were 61.1-89.9% and 59.0-80.7% respectively. No significant correlation between pre-nCRT size measurements and pCR was obtained.
CONCLUSION: The convenient morphological measurements may be useful for predicting pCR with moderate sensitivity and specificity. Combining these predictors with the aim of building diagnostic model should be explored.

Entities:  

Keywords:  magnetic resonance imaging; neoadjuvant chemoradiotherapy; pathologically complete response; rectal cancer

Year:  2017        PMID: 29435147      PMCID: PMC5797018          DOI: 10.18632/oncotarget.23419

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


  42 in total

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Review 2.  Predicting complete response: is there a role for non-operative management of rectal cancer?

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Journal:  J Gastrointest Oncol       Date:  2015-04

Review 3.  Systematic review and meta-analysis of outcomes following pathological complete response to neoadjuvant chemoradiotherapy for rectal cancer.

Authors:  S T Martin; H M Heneghan; D C Winter
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4.  Predicting tumor response after preoperative chemoradiation using clinical parameters in rectal cancer.

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Journal:  World J Gastroenterol       Date:  2011-12-28       Impact factor: 5.742

5.  Distance to the anal verge is associated with pathologic complete response to neoadjuvant therapy in locally advanced rectal cancer.

Authors:  Sunil V Patel; Campbell S Roxburgh; Efsevia Vakiani; Jinru Shia; J Joshua Smith; Larissa K Temple; Philip Paty; Julio Garcia-Aguilar; Garrett Nash; Jose Guillem; Abraham Wu; Marsha Reyngold; Martin R Weiser
Journal:  J Surg Oncol       Date:  2016-09-19       Impact factor: 3.454

Review 6.  Neoadjuvant Combined-Modality Therapy for Locally Advanced Rectal Cancer and Its Future Direction.

Authors:  Mohamed E Salem; Marion Hartley; Keith Unger; John L Marshall
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Review 7.  The role of diffusion-weighted MRI and (18)F-FDG PET/CT in the prediction of pathologic complete response after radiochemotherapy for rectal cancer: a systematic review.

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8.  Locally advanced rectal cancer: diffusion-weighted MR tumour volumetry and the apparent diffusion coefficient for evaluating complete remission after preoperative chemoradiation therapy.

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Journal:  Eur Radiol       Date:  2013-06-28       Impact factor: 5.315

Review 9.  A Review of Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer.

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Review 10.  Effect of Neoadjuvant Chemoradiotherapy with Capecitabine versus Fluorouracil for Locally Advanced Rectal Cancer: A Meta-Analysis.

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1.  Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.

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Journal:  Magn Reson Imaging       Date:  2019-05-03       Impact factor: 2.546

2.  Machine learning for predicting pathological complete response in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy.

Authors:  Chun-Ming Huang; Ming-Yii Huang; Ching-Wen Huang; Hsiang-Lin Tsai; Wei-Chih Su; Wei-Chiao Chang; Jaw-Yuan Wang; Hon-Yi Shi
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3.  Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients.

Authors:  Sajad P Shayesteh; Afsaneh Alikhassi; Farshid Farhan; Reza Ghalehtaki; Masume Soltanabadi; Peiman Haddad; Ahmad Bitarafan-Rajabi
Journal:  J Gastrointest Cancer       Date:  2020-06

Review 4.  MRI Evaluation of Complete Response of Locally Advanced Rectal Cancer After Neoadjuvant Therapy: Current Status and Future Trends.

Authors:  Qiaoyu Xu; Yanyan Xu; Hongliang Sun; Tao Jiang; Sheng Xie; Bee Yen Ooi; Yi Ding
Journal:  Cancer Manag Res       Date:  2021-06-01       Impact factor: 3.989

5.  Imaging for guiding a more tailored approach in rectal cancer patients.

Authors:  Gaya Spolverato; Filippo Crimì; Salvatore Pucciarelli
Journal:  Ann Transl Med       Date:  2022-08

6.  3.0 T MRI IVIM-DWI for predicting the efficacy of neoadjuvant chemoradiation for locally advanced rectal cancer.

Authors:  Hongbo Hu; Huijie Jiang; Song Wang; Hao Jiang; Sheng Zhao; Wenbin Pan
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7.  Predicting Response to Total Neoadjuvant Treatment (TNT) in Locally Advanced Rectal Cancer Based on Multiparametric Magnetic Resonance Imaging: A Retrospective Study.

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  7 in total

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