Literature DB >> 31085285

Development and Validation of a Nomogram to Predict Lymphedema After Axillary Surgery and Radiation Therapy in Women With Breast Cancer From the NCIC CTG MA.20 Randomized Trial.

Jeffrey P Gross1, Timothy J Whelan2, Wendy R Parulekar3, Bingshu E Chen3, Alfred W Rademaker4, Irene B Helenowski4, Eric D Donnelly1, Jonathan B Strauss5.   

Abstract

PURPOSE: Regional nodal irradiation for women with breast cancer is known to be an important risk factor for the development of upper extremity lymphedema, but tools to accurately predict lymphedema risks for individual patients are lacking. This study sought to develop and validate a nomogram to predict lymphedema risk after axillary surgery and radiation therapy in women with breast cancer. METHODS AND MATERIALS: Data from 1832 women accrued on the MA.20 trial between March 2000 and February 2007 were used to create a prognostic model with National Cancer Institute Common Toxicity Criteria Version 2.0 grade 2 or higher lymphedema as the primary endpoint. Multivariable logistic regression estimated model performance. External validation was performed on data from a single large academic cancer center (N = 785).
RESULTS: In the MA.20 trial cohort, 3 risk factors were predictive of lymphedema risk: body mass index (adjusted odds ratio, 1.05 per unit body mass index; 95% confidence interval [CI], 1.03-1.08, P < .001), extent of axillary surgery (adjusted odds radio for 8-11 lymph nodes removed, 3.28 [95% CI, 1.53-7.89] P = .004; 12-15 lymph nodes, 4.04 [95% CI, 1.76-10.26] P = .002; ≥16 nodes, 5.08 [95% CI, 2.26-12.70] P < .001), and extent of nodal irradiation (adjusted odds radio for limited, 1.66 [95% CI, 1.08-2.56] P = .02; for extensive, 2.31 [95% CI, 1.28-4.10] P = .004). A nomogram was created from these data that predicted lymphedema risk with reasonable accuracy confirmed by both internal (concordance index, 0.69; 95% CI, 0.64-0.74) and external validation (concordance index, 0.71; 95% CI, 0.66-0.76).
CONCLUSIONS: The nomogram created from the MA.20 randomized trial data using clinical information may be useful for lymphedema screening and risk stratification for therapeutic intervention trials.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31085285     DOI: 10.1016/j.ijrobp.2019.05.002

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  14 in total

Review 1.  Locoregional Management After Neoadjuvant Chemotherapy.

Authors:  Monica Morrow; Atif J Khan
Journal:  J Clin Oncol       Date:  2020-05-22       Impact factor: 44.544

Review 2.  Use of technology to facilitate a prospective surveillance program for breast cancer-related lymphedema at the Massachusetts General Hospital.

Authors:  Lauren M Havens; Cheryl L Brunelle; Tessa C Gillespie; Madison Bernstein; Loryn K Bucci; Yara W Kassamani; Alphonse G Taghian
Journal:  Mhealth       Date:  2021-01-20

3.  Preoperative and postoperative nomograms for predicting early recurrence of hepatocellular carcinoma without macrovascular invasion after curative resection.

Authors:  Yanfang Zhang; Xuezhong Lei; Liangliang Xu; Xiaoju Lv; Mingqing Xu; Hong Tang
Journal:  BMC Surg       Date:  2022-06-17       Impact factor: 2.030

4.  Prevelance of upper extremity lymphedema and risk factors in patients with mastectomy: Single-center, observational, cross-sectional study.

Authors:  Tuba Tülay Koca; Gökmen Aktaş; Mehmet Emre Kurtgil
Journal:  Turk J Obstet Gynecol       Date:  2020-10-02

5.  Validation of a nomogram for predicting the risk of lymphedema following contemporary treatment for breast cancer: a large multi-institutional study (KROG 20-05).

Authors:  Hwa Kyung Byun; Jae Sik Kim; Jee Suk Chang; Yeona Cho; Sung-Ja Ahn; Jung Han Yoon; Haeyoung Kim; Nalee Kim; Euncheol Choi; Hyeli Park; Kyubo Kim; Shin-Hyung Park; Chai Hong Rim; Hoon Sik Choi; Yoon Kyeong Oh; Ik Jae Lee; Kyung Hwan Shin; Yong Bae Kim
Journal:  Breast Cancer Res Treat       Date:  2022-02-02       Impact factor: 4.872

6.  Novel prognostic nomograms for female patients with breast cancer and bone metastasis at presentation.

Authors:  Zhan Wang; Yonggang Cheng; Shi Chen; Haiyu Shao; Xiaowei Chen; Zenan Wang; Yucheng Wang; Hao Zhou; Tao Chen; Nong Lin; Zhaoming Ye
Journal:  Ann Transl Med       Date:  2020-03

7.  Novel biomarkers and prediction model for the pathological complete response to neoadjuvant treatment of triple-negative breast cancer.

Authors:  Yiqun Han; Jiayu Wang; Binghe Xu
Journal:  J Cancer       Date:  2021-01-01       Impact factor: 4.207

8.  A Radiation Oncologist's Guide to Axillary Management in Breast Cancer: A Walk Through the Trials.

Authors:  Julie K Jang; Elana R Sverdlik; Naomi R Schechter
Journal:  Curr Breast Cancer Rep       Date:  2019-09-14

Review 9.  Histopathologic Features of Lymphedema: A Molecular Review.

Authors:  Claire Y Li; Raghu P Kataru; Babak J Mehrara
Journal:  Int J Mol Sci       Date:  2020-04-06       Impact factor: 5.923

10.  A competing risk nomogram predicting cause-specific mortality in patients with lung adenosquamous carcinoma.

Authors:  Xiao Wu; Wenfeng Yu; R H Petersen; Hongxu Sheng; Yiqing Wang; Wang Lv; Jian Hu
Journal:  BMC Cancer       Date:  2020-05-16       Impact factor: 4.430

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.