Literature DB >> 31116055

The Relationship between Primary Gross Tumor Volume and Tumor Response of Locally Advanced Rectal Cancer: pGTV as a More Accurate Tumor Size Indicator.

Wenxue Liu1, Yuqiang Li1,2, Hong Zhu3, Qian Pei1, Fengbo Tan1, Xiangping Song1, Zhongyi Zhou1, Yuan Zhou1, Dan Wang1, Haiping Pei1.   

Abstract

Purpose: To identify the clinical predictive factors of tumor response and to evaluate the significance of primary gross tumor volume (pGTV), obtained from radiotherapy planning, in predicting tumor response. Materials and
Methods: We retrospectively analyzed data of consecutive locally advanced rectal cancer (LARC) patients who were treated with neoadjuvant chemoradiotherapy (nCRT) followed by radical surgery at our institution between March 2009 and December 2017. We identify independent predictors of tumor response to nCRT by statistical analysis. Disease-free survival (DFS) starting from the time of surgery was calculated by the Kaplan-Meier method, and log-rank tests were performed to compare DFS between patients with superior and inferior tumor response.
Results: Overall, 185 LARC patients received nCRT, of whom 89 (48.11%) achieved superior tumor response. Diminutive pGTV (p = 0.038) and distance from the anal verge (DAV) (p = 0.006) were independent predictive factors of superior tumor response. Meanwhile, pGTV can be regarded as an independent predictor of pathologic complete response (pCR) (p = 0.036). The log-rank test revealed that DFS was longer in the diminutive pGTV group than in the giant pGTV group (p = 0.001). Conclusions: pGTV, as a measure of tumor size, is not only an important prognostic indicator but also an independent predictive factor of tumor response, even pCR.

Entities:  

Keywords:  locally advanced rectal cancer; neoadjuvant chemoradiotherapy; primary gross tumor volume; tumor regression grade; tumor response

Year:  2019        PMID: 31116055     DOI: 10.1080/08941939.2019.1615153

Source DB:  PubMed          Journal:  J Invest Surg        ISSN: 0894-1939            Impact factor:   2.533


  9 in total

1.  Machine Learning of Dose-Volume Histogram Parameters Predicting Overall Survival in Patients with Cervical Cancer Treated with Definitive Radiotherapy.

Authors:  Zhiyuan Xu; Li Yang; Qin Liu; Hao Yu; Longhua Chen
Journal:  J Oncol       Date:  2022-06-14       Impact factor: 4.501

2.  Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis.

Authors:  Yuqiang Li; Zhongyi Zhou; Da Liu; Ming Zhou; Fengbo Tan; Wenxue Liu; Hong Zhu
Journal:  Gastroenterol Res Pract       Date:  2020-11-23       Impact factor: 2.260

3.  Pre-Treatment Computed Tomography Radiomics for Predicting the Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer: A Retrospective Study.

Authors:  Yitao Mao; Qian Pei; Yan Fu; Haipeng Liu; Changyong Chen; Haiping Li; Guanghui Gong; Hongling Yin; Peipei Pang; Huashan Lin; Biaoxiang Xu; Hongyan Zai; Xiaoping Yi; Bihong T Chen
Journal:  Front Oncol       Date:  2022-05-10       Impact factor: 5.738

4.  Predicting pathological complete response by comparing MRI-based radiomics pre- and postneoadjuvant radiotherapy for locally advanced rectal cancer.

Authors:  Yuqiang Li; Wenxue Liu; Qian Pei; Lilan Zhao; Cenap Güngör; Hong Zhu; Xiangping Song; Chenglong Li; Zhongyi Zhou; Yang Xu; Dan Wang; Fengbo Tan; Pei Yang; Haiping Pei
Journal:  Cancer Med       Date:  2019-10-22       Impact factor: 4.452

5.  Optimized Parameters of Diffusion-Weighted MRI for Prediction of the Response to Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer.

Authors:  Jie Li; Jia Wang; Jing Pang; Shougen Cao; Jingjing Chen; Wenjian Xu
Journal:  Biomed Res Int       Date:  2019-10-13       Impact factor: 3.411

6.  Accurate nomograms with excellent clinical value for locally advanced rectal cancer.

Authors:  Yuqiang Li; Da Liu; Lilan Zhao; Cenap Güngör; Xiangping Song; Dan Wang; Wenxue Liu; Fengbo Tan
Journal:  Ann Transl Med       Date:  2021-02

7.  The Survival Effect of Radiotherapy on Stage II/III Rectal Cancer in Different Age Groups: Formulating Radiotherapy Decision-Making Based on Age.

Authors:  Yuqiang Li; Heli Liu; Yuan Zhou; Zhongyi Zhou; Wenxue Liu; Lilan Zhao; Cenap Güngör; Dan Wang; Qian Pei; Haiping Pei; Fengbo Tan
Journal:  Front Oncol       Date:  2021-07-28       Impact factor: 6.244

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.  Establishment and Verification of Synchronous Metastatic Nomogram for Gastrointestinal Stromal Tumors (GISTs): A Population-Based Analysis.

Authors:  Yuqiang Li; Guangfeng Zhang; Xiangping Song; Lilan Zhao; Cenap Güngör; Dan Wang; Wenxue Liu; Yan Huang; Fengbo Tan
Journal:  Gastroenterol Res Pract       Date:  2020-01-27       Impact factor: 2.260

  9 in total

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