Cargando…

Prediction of breast cancer-related lymphedema risk after postoperative radiotherapy via multivariable logistic regression analysis

PURPOSE: We identified novel clinical and dosimetric prognostic factors affecting breast cancer-related lymphedema after postoperative radiotherapy (RT) and developed a multivariable logistic regression model to predict lymphedema in these patients. METHODS AND MATERIALS: In total, 580 patients with...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Jae Sik, Kim, Jin Ho, Chang, Ji Hyun, Kim, Do Wook, Shin, Kyung Hwan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643832/ https://www.ncbi.nlm.nih.gov/pubmed/36387231 http://dx.doi.org/10.3389/fonc.2022.1026043

Ejemplares similares

Improper Reporting of Multivariable Logistic Regression
por: Kumar, Rajeev
Publicado: (2014)

Multivariate ordered logistic regression analysis of the postoperative effect of symptomatic discoid lateral meniscus
por: Yang, Shun-Jie, et al.
Publicado: (2021)

Errors in the use of Multivariable Logistic Regression Analysis: An Empirical Analysis
por: Malhotra, Rajeev Kumar
Publicado: (2020)

Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
por: Jang, Su-Kyeong, et al.
Publicado: (2020)

Quality of reporting of multivariable logistic regression models in Chinese clinical medical journals
por: Zhang, Ying-ying, et al.
Publicado: (2017)

Multivariable logistic and linear regression models for identification of clinically useful biomarkers for osteoarthritis
por: Liem, Yulia, et al.
Publicado: (2020)

Impact of Radiotherapy on Kidney Function among Patients Who Received Adjuvant Treatment for Gastric Cancer: Logistic and Linear Regression Analyses
por: Park, Jun Su, et al.
Publicado: (2020)

Geographical variation of unmet medical needs in Italy: a multivariate logistic regression analysis
por: Cavalieri, Marina
Publicado: (2013)

Multivariable Logistic Regression And Back Propagation Artificial Neural Network To Predict Diabetic Retinopathy
por: Yao, Litong, et al.
Publicado: (2019)

Distinguishing risk factors between congenital anophthalmia and microphthalmia using multivariable logistic regression
por: Li, Yang, et al.
Publicado: (2020)

Prediction of gastrointestinal cancers in the ONCONUT cohort study: comparison between logistic regression and artificial neural network
por: Donghia, Rossella, et al.
Publicado: (2023)

Postoperative Concurrent Chemoradiotherapy Versus Radiotherapy Alone for Advanced Oral Cavity Cancer in the Era of Modern Radiation Techniques
por: Kim, Tae Hyung, et al.
Publicado: (2021)

The effects of postoperative treadmill exercise on rats with secondary lymphedema
por: Kim, Sang Ah, et al.
Publicado: (2023)

Statistical notes for clinical researchers: logistic regression
por: Kim, Hae-Young
Publicado: (2017)

The Acute and Late Toxicities of MRI-Guided External Beam Partial Breast Irradiation Delivered Using a Once-Per-Day Regimen
por: Lee, Hye In, et al.
Publicado: (2021)

Postoperative radiotherapy for ependymoma
por: Jung, Jinhong, et al.
Publicado: (2012)

Abscopal effect in metastatic breast cancer treated with stereotactic body radiotherapy in the absence of immunotherapy
por: Kim, Jae Sik, et al.
Publicado: (2023)

Prevalence and Predictive Factors of Sexual Dysfunction in Iranian Women: Univariate and Multivariate Logistic Regression Analyses
por: Direkvand-Moghadam, Ashraf, et al.
Publicado: (2016)

Feature selection with interactions in logistic regression models using multivariate synergies for a GWAS application
por: Xu, Easton Li, et al.
Publicado: (2018)

Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity
por: Kavelaars, Xynthia, et al.
Publicado: (2023)

The Fidelity of Rheumatoid Arthritis Multivariate Diagnostic Biomarkers Using Discriminant Analysis and Binary Logistic Regression
por: Hassan, Wail M., et al.
Publicado: (2023)

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
por: Pate, Alexander, et al.
Publicado: (2023)

Treatment outcome of postoperative radiotherapy for retroperitoneal sarcoma
por: Lee, Hyun Jin, et al.
Publicado: (2011)

Reduced pelvic field sparing anastomosis for postoperative radiotherapy in selected patients with mid–upper rectal cancer
por: Choi, Seo Hee, et al.
Publicado: (2017)

Applied logistic regression
por: Hosmer, David W, et al.
Publicado: (2013)

Applied logistic regression /
por: Hosmer, David W.
Publicado: (2000)

A diagnostic scoring model of ENKTCL in the nose-Waldeyer’s ring based on logistic regression: Differential diagnosis from DLBCL
por: Xiang, Jun-Yi, et al.
Publicado: (2023)

Hypofractionated Radiotherapy With Volumetric Modulated Arc Therapy Decreases Postoperative Complications in Prosthetic Breast Reconstructions: A Clinicopathologic Study
por: Song, Seung Yong, et al.
Publicado: (2020)

Multivariate NTCP Model of Hypothyroidism After Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma
por: Shen, Guanzhu, et al.
Publicado: (2021)

Risk Stratification Using Multivariable Fractional Polynomials in Diffuse Large B-Cell Lymphoma
por: Roh, Jin, et al.
Publicado: (2020)

Ultrasonographic Evaluation of Therapeutic Effects of Complex Decongestive Therapy in Breast Cancer-Related Lymphedema
por: Lee, Jae Hyun, et al.
Publicado: (2013)

Logistic regression : a self-learning text /
por: Kleinbaum, David G.
Publicado: (2002)

Logistic regression : a self-learning text /
por: Kleinbaum, David G.
Publicado: (1994)

Breast Cancer–Related Lymphedema after Neoadjuvant Chemotherapy
por: Kim, Myungsoo, et al.
Publicado: (2015)

Semi-Parallel logistic regression for GWAS on encrypted data
por: Kim, Miran, et al.
Publicado: (2020)

Logistic regression model training based on the approximate homomorphic encryption
por: Kim, Andrey, et al.
Publicado: (2018)

Utilizing logistic regression to compare risk factors in disease modeling with imbalanced data: a case study in vitamin D and cancer incidence
por: Meysami, Mohammad, et al.
Publicado: (2023)

Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation
por: Tobiasz, Joanna, et al.
Publicado: (2023)

Treatment of end-stage lymphedema following radiotherapy for lymphoma: A case report
por: Moon, Kyung-Chul, et al.
Publicado: (2021)

Endogeneity in Logistic Regression Models
por: Avery, George
Publicado: (2005)

Cannot write session to /tmp/vufind_sessions/sess_8bpfaehlvbgohdnjqplqoe3vkj