Literature DB >> 19502615

A novel approach to cancer staging: application to esophageal cancer.

Hemant Ishwaran1, Eugene H Blackstone, Carolyn Apperson-Hansen, Thomas W Rice.   

Abstract

A novel 3-step random forests methodology involving survival data (survival forests), ordinal data (multiclass forests), and continuous data (regression forests) is introduced for cancer staging. The methodology is illustrated for esophageal cancer using worldwide esophageal cancer collaboration data involving 4627 patients.

Entities:  

Mesh：

Year:  2009        PMID： 19502615      PMCID： PMC3590074          DOI： 10.1093/biostatistics/kxp016

Source DB:  PubMed          Journal:  Biostatistics        ISSN： 1465-4644            Impact factor:   5.899


  16 in total

1.  Validation of a modified GTNM classification in peri-junctional oesophago-gastric carcinoma and its use as a prognostic indicator.

Authors:  G H Dickson; K K Singh; X Escofet; K Kelley
Journal:  Eur J Surg Oncol       Date:  2001-11       Impact factor: 4.424

2.  The prognostic importance of the number of involved lymph nodes in esophageal cancer: implications for revisions of the American Joint Committee on Cancer staging system.

Authors:  Nabil Rizk; Ennapadam Venkatraman; Bernard Park; Raja Flores; Manjit S Bains; Valerie Rusch
Journal:  J Thorac Cardiovasc Surg       Date:  2006-12       Impact factor: 5.209

3.  T2N0M0 esophageal cancer.

Authors:  Thomas W Rice; David P Mason; Sudish C Murthy; Gregory Zuccaro; David J Adelstein; Lisa A Rybicki; Eugene H Blackstone
Journal:  J Thorac Cardiovasc Surg       Date:  2007-01-09       Impact factor: 5.209

4.  Selection of operation for esophageal cancer based on staging.

Authors:  D B Skinner; A G Little; M K Ferguson; A Soriano; V M Staszak
Journal:  Ann Surg       Date:  1986-10       Impact factor: 12.969

5.  Consistency of Random Survival Forests.

Authors:  Hemant Ishwaran; Udaya B Kogalur
Journal:  Stat Probab Lett       Date:  2010-07-01       Impact factor: 0.870

6.  Cancer of the esophagus and esophagogastric junction: data-driven staging for the seventh edition of the American Joint Committee on Cancer/International Union Against Cancer Cancer Staging Manuals.

Authors:  Thomas W Rice; Valerie W Rusch; Hemant Ishwaran; Eugene H Blackstone
Journal:  Cancer       Date:  2010-08-15       Impact factor: 6.860

7.  Esophagogastrectomy for carcinoma of the esophagus and cardia: a comparison of findings and results after standard resection in three consecutive eight-year intervals with improved staging criteria.

Authors:  F H Ellis; G J Heatley; M J Krasna; W A Williamson; K Balogh
Journal:  J Thorac Cardiovasc Surg       Date:  1997-05       Impact factor: 5.209

8.  Proposed revision of the staging classification for esophageal cancer.

Authors:  R J Korst; V W Rusch; E Venkatraman; M S Bains; M E Burt; R J Downey; R J Ginsberg
Journal:  J Thorac Cardiovasc Surg       Date:  1998-03       Impact factor: 5.209

9.  Esophageal carcinoma: depth of tumor invasion is predictive of regional lymph node status.

Authors:  T W Rice; G Zuccaro; D J Adelstein; L A Rybicki; E H Blackstone; J R Goldblum
Journal:  Ann Thorac Surg       Date:  1998-03       Impact factor: 4.330

10.  Screening large-scale association study data: exploiting interactions using random forests.

Authors:  Kathryn L Lunetta; L Brooke Hayward; Jonathan Segal; Paul Van Eerdewegh
Journal:  BMC Genet       Date:  2004-12-10       Impact factor: 2.797
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  17 in total

1.  [The current TNM system for gastrointestinal tumors part I].

Authors:  C Wittekind; A Tannapfel
Journal:  Pathologe       Date:  2010-09       Impact factor: 1.011

2.  Identifying important risk factors for survival in patient with systolic heart failure using random survival forests.

Authors:  Eileen Hsich; Eiran Z Gorodeski; Eugene H Blackstone; Hemant Ishwaran; Michael S Lauer
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2010-11-23

3.  Cancer of the esophagus and esophagogastric junction: an 8th edition staging primer.

Authors:  Claire L Donohoe; Alexander W Phillips
Journal:  J Thorac Dis       Date:  2017-03       Impact factor: 2.895

4.  A Random Forests Quantile Classifier for Class Imbalanced Data.

Authors:  Robert O'Brien; Hemant Ishwaran
Journal:  Pattern Recognit       Date:  2019-01-29       Impact factor: 7.740

5.  Pathway hunting by random survival forests.

Authors:  Xi Chen; Hemant Ishwaran
Journal:  Bioinformatics       Date:  2012-11-04       Impact factor: 6.937

6.  Esophageal Cancer: Associations With (pN+) Lymph Node Metastases.

Authors:  Thomas W Rice; Hemant Ishwaran; Wayne L Hofstetter; Paul H Schipper; Kenneth A Kesler; Simon Law; E M R Lerut; Chadrick E Denlinger; Jarmo A Salo; Walter J Scott; Thomas J Watson; Mark S Allen; Long-Qi Chen; Valerie W Rusch; Robert J Cerfolio; James D Luketich; Andre Duranceau; Gail E Darling; Manuel Pera; Carolyn Apperson-Hansen; Eugene H Blackstone
Journal:  Ann Surg       Date:  2017-01       Impact factor: 12.969

7.  Using machine learning to examine medication adherence thresholds and risk of hospitalization.

Authors:  Wei-Hsuan Lo-Ciganic; Julie M Donohue; Joshua M Thorpe; Subashan Perera; Carolyn T Thorpe; Zachary A Marcum; Walid F Gellad
Journal:  Med Care       Date:  2015-08       Impact factor: 2.983

8.  [TNM 2010. What's new?].

Authors:  C Wittekind
Journal:  Pathologe       Date:  2010-10       Impact factor: 1.011

9.  Consistency of Random Survival Forests.

Authors:  Hemant Ishwaran; Udaya B Kogalur
Journal:  Stat Probab Lett       Date:  2010-07-01       Impact factor: 0.870

10.  Gastric cancer: texture analysis from multidetector computed tomography as a potential preoperative prognostic biomarker.

Authors:  Francesco Giganti; Sofia Antunes; Annalaura Salerno; Alessandro Ambrosi; Paolo Marra; Roberto Nicoletti; Elena Orsenigo; Damiano Chiari; Luca Albarello; Carlo Staudacher; Antonio Esposito; Alessandro Del Maschio; Francesco De Cobelli
Journal:  Eur Radiol       Date:  2016-08-23       Impact factor: 5.315
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