Literature DB >> 27384088

A Nomogram to Predict Lymph Node Positivity Following Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer.

Andrew D Newton1, Jiaqi Li, Arjun N Jeganathan, Najjia N Mahmoud, Andrew J Epstein, E Carter Paulson.   

Abstract

BACKGROUND: Patients with locally advanced rectal cancer typically receive neoadjuvant chemoradiation followed by total mesorectal excision. Other treatment approaches, including transanal techniques and close surveillance, are becoming increasingly common following positive responses to chemoradiation. Lack of pathologic lymph node staging is one major disadvantage of these novel strategies.
OBJECTIVE: The purposes of this study were to determine clinicopathologic factors associated with positive lymph nodes following neoadjuvant chemoradiation for rectal cancer and to create a nomogram using these factors to predict rates of lymph node positivity.
DESIGN: This is a retrospective cohort analysis. SETTINGS: This study used the National Cancer Database. PATIENTS: Patients aged 18 to 90 with clinical stage T3/T4, N0, M0 or Tany, N1-2, M0 adenocarcinoma of the rectum who underwent neoadjuvant chemoradiation before total mesorectal excision from 2010 to 2012 were identified. MAIN OUTCOME MEASURES: The primary outcome measure was lymph node positivity after neoadjuvant chemoradiation for locally advanced rectal cancer. Bivariate and multivariate analyses were used to determine the associations of clinicopathologic variables with lymph node positivity.
RESULTS: Eight thousand nine hundred eighty-four patients were included. Young age, lower Charlson score, mucinous histology, poorly differentiated and undifferentiated tumors, the presence of lymphovascular invasion, elevated CEA level, and clinical lymph node positivity were significantly predictive of pathologic lymph node positivity following neoadjuvant chemoradiation. The predictive accuracy of the nomogram is 70.9%, with a c index of 0.71. There was minimal deviation between the predicted and observed outcomes. LIMITATIONS: This study is retrospective, and it cannot be determined when in the course of treatment the data were collected.
CONCLUSIONS: We created a nomogram to predict lymph node positivity following neoadjuvant chemoradiation for locally advanced rectal cancer that can serve as a valuable complement to imaging to aid clinicians and patients in determining the best treatment strategy.

Entities:  

Mesh:

Year:  2016        PMID: 27384088     DOI: 10.1097/DCR.0000000000000638

Source DB:  PubMed          Journal:  Dis Colon Rectum        ISSN: 0012-3706            Impact factor:   4.585


  8 in total

Review 1.  Clinical utility of pretreatment prediction of chemoradiotherapy response in rectal cancer: a review.

Authors:  Byong Chul Yoo; Seung-Gu Yeo
Journal:  EPMA J       Date:  2017-03-03       Impact factor: 6.543

2.  The risk of nodal disease in patients with pathological complete responses after neoadjuvant chemoradiation for rectal cancer: a systematic review, meta-analysis, and meta-regression.

Authors:  Ian Jun Yan Wee; Hai Man Cao; James Chi-Yong Ngu
Journal:  Int J Colorectal Dis       Date:  2019-07-04       Impact factor: 2.571

3.  Predictive role of diffusion-weighted MRI in the assessment of response to total neoadjuvant therapy in locally advanced rectal cancer.

Authors:  Franco Iafrate; Fabio Ciccarelli; Giorgio Maria Masci; Damiano Grasso; Francesco Marruzzo; Francesca De Felice; Vincenzo Tombolini; Giancarlo D'Ambrosio; Fabio Massimo Magliocca; Enrico Cortesi; Carlo Catalano
Journal:  Eur Radiol       Date:  2022-08-18       Impact factor: 7.034

4.  Nomogram for predicting anastomotic leakage after low anterior resection for rectal cancer.

Authors:  Nobuaki Hoshino; Koya Hida; Yoshiharu Sakai; Shunichi Osada; Hitoshi Idani; Toshihiko Sato; Yasumasa Takii; Hiroyuki Bando; Akio Shiomi; Norio Saito
Journal:  Int J Colorectal Dis       Date:  2018-02-06       Impact factor: 2.571

5.  Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer.

Authors:  Xuezhi Zhou; Yongju Yi; Zhenyu Liu; Zhiyang Zhou; Bingjia Lai; Kai Sun; Longfei Li; Liyu Huang; Yanqiu Feng; Wuteng Cao; Jie Tian
Journal:  Front Oncol       Date:  2020-05-11       Impact factor: 6.244

Review 6.  Role of MRI‑based radiomics in locally advanced rectal cancer (Review).

Authors:  Siyu Zhang; Mingrong Yu; Dan Chen; Peidong Li; Bin Tang; Jie Li
Journal:  Oncol Rep       Date:  2021-12-22       Impact factor: 3.906

7.  Nomograms for Death from Pneumocystis jirovecii Pneumonia in HIV-Uninfected and HIV-Infected Patients.

Authors:  Qiuyue Feng; Jingjing Hao; Ang Li; Zhaohui Tong
Journal:  Int J Gen Med       Date:  2022-03-15

8.  A preoperative prediction model based on Lymphocyte-C-reactive protein ratio predicts postoperative anastomotic leakage in patients with colorectal carcinoma: a retrospective study.

Authors:  Bin Zhong; Zhen-Yu Lin; Dan-Dan Ma; Zuo-Hong Shang; Yan-Bin Shen; Tao Zhang; Jian-Xin Zhang; Wei-Dong Jin
Journal:  BMC Surg       Date:  2022-07-23       Impact factor: 2.030

  8 in total

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