Literature DB >> 29064264

Accuracy of Models to Identify Lung Nodule Cancer Risk in the National Lung Screening Trial.

Viswam S Nair1,2, Vandana Sundaram3, Manisha Desai3, Michael K Gould4.   

Abstract

Mesh：

Year:  2018        PMID： 29064264      PMCID： PMC5955070          DOI： 10.1164/rccm.201708-1632LE

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN： 1073-449X            Impact factor:   21.405


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  8 in total

1.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

Authors:  E R DeLong; D M DeLong; D L Clarke-Pearson
Journal:  Biometrics       Date:  1988-09       Impact factor: 2.571

2.  Accuracy of Models to Identify Lung Nodule Cancer Risk in the National Lung Screening Trial.

Authors:  Viswam S Nair; Vandana Sundaram; Manisha Desai; Michael K Gould
Journal:  Am J Respir Crit Care Med       Date:  2018-05-01       Impact factor: 21.405

3.  Probability of cancer in pulmonary nodules detected on first screening CT.

Authors:  Annette McWilliams; Martin C Tammemagi; John R Mayo; Heidi Roberts; Geoffrey Liu; Kam Soghrati; Kazuhiro Yasufuku; Simon Martel; Francis Laberge; Michel Gingras; Sukhinder Atkar-Khattra; Christine D Berg; Ken Evans; Richard Finley; John Yee; John English; Paola Nasute; John Goffin; Serge Puksa; Lori Stewart; Scott Tsai; Michael R Johnston; Daria Manos; Garth Nicholas; Glenwood D Goss; Jean M Seely; Kayvan Amjadi; Alain Tremblay; Paul Burrowes; Paul MacEachern; Rick Bhatia; Ming-Sound Tsao; Stephen Lam
Journal:  N Engl J Med       Date:  2013-09-05       Impact factor: 91.245

4.  Reduced lung-cancer mortality with low-dose computed tomographic screening.

Authors:  Denise R Aberle; Amanda M Adams; Christine D Berg; William C Black; Jonathan D Clapp; Richard M Fagerstrom; Ilana F Gareen; Constantine Gatsonis; Pamela M Marcus; JoRean D Sicks
Journal:  N Engl J Med       Date:  2011-06-29       Impact factor: 91.245

5.  A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodules.

Authors:  Michael K Gould; Lakshmi Ananth; Paul G Barnett
Journal:  Chest       Date:  2007-02       Impact factor: 9.410

6.  The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules.

Authors:  S J Swensen; M D Silverstein; D M Ilstrup; C D Schleck; E S Edell
Journal:  Arch Intern Med       Date:  1997-04-28

7.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

8.  Validation of two models to estimate the probability of malignancy in patients with solitary pulmonary nodules.

Authors:  E M Schultz; G D Sanders; P R Trotter; E F Patz; G A Silvestri; D K Owens; M K Gould
Journal:  Thorax       Date:  2007-10-26       Impact factor: 9.139
  8 in total
  13 in total

1.  Accuracy of Models to Identify Lung Nodule Cancer Risk in the National Lung Screening Trial.

Authors:  Viswam S Nair; Vandana Sundaram; Manisha Desai; Michael K Gould
Journal:  Am J Respir Crit Care Med       Date:  2018-05-01       Impact factor: 21.405

Review 2.  Low Dose CT for Lung Cancer Screening: The Background, the Guidelines, and a Tailored Approach to Patient Care.

Authors:  Emily Tylski; Mala Goyal
Journal:  Mo Med       Date:  2019 Sep-Oct

3.  Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.

Authors:  Pierre P Massion; Sanja Antic; Sarim Ather; Carlos Arteta; Jan Brabec; Heidi Chen; Jerome Declerck; David Dufek; William Hickes; Timor Kadir; Jonas Kunst; Bennett A Landman; Reginald F Munden; Petr Novotny; Heiko Peschl; Lyndsey C Pickup; Catarina Santos; Gary T Smith; Ambika Talwar; Fergus Gleeson
Journal:  Am J Respir Crit Care Med       Date:  2020-07-15       Impact factor: 21.405

4.  A simple assessment of lung nodule location for reduction in unnecessary invasive procedures.

Authors:  C Matthew Kinsey; Ehab Billatos; Vitor Mori; Ben Tonelli; Bernard F Cole; Fenghai Duan; Helga Marques; Isaac de la Bruere; Jorge Onieva; Rubén San José Estépar; Alyx Cleveland; Dan Idelkope; Chris Stevenson; Jason H T Bates; Denise Aberle; Avi Spira; George Washko; Raúl San José Estépar
Journal:  J Thorac Dis       Date:  2021-07       Impact factor: 3.005

5.  Overview of recent advances in molecular analysis for diagnosing early stage lung cancer nodules.

Authors:  Milo Frattini; Patrizia Froesch; Samantha Epistolio
Journal:  Transl Lung Cancer Res       Date:  2021-11

Review 6.  Lung cancer risk prediction models based on pulmonary nodules: A systematic review.

Authors:  Zheng Wu; Fei Wang; Wei Cao; Chao Qin; Xuesi Dong; Zhuoyu Yang; Yadi Zheng; Zilin Luo; Liang Zhao; Yiwen Yu; Yongjie Xu; Jiang Li; Wei Tang; Sipeng Shen; Ning Wu; Fengwei Tan; Ni Li; Jie He
Journal:  Thorac Cancer       Date:  2022-02-08       Impact factor: 3.500

7.  Comprehensive Analysis of Clinical Logistic and Machine Learning-Based Models for the Evaluation of Pulmonary Nodules.

Authors:  Kai Zhang; Zihan Wei; Yuntao Nie; Haifeng Shen; Xin Wang; Jun Wang; Fan Yang; Kezhong Chen
Journal:  JTO Clin Res Rep       Date:  2022-02-22

8.  Accurate diagnosis of pulmonary nodules using a noninvasive DNA methylation test.

Authors:  Wenhua Liang; Zhiwei Chen; Caichen Li; Jun Liu; Jinsheng Tao; Xin Liu; Dezhi Zhao; Weiqiang Yin; Hanzhang Chen; Chao Cheng; Fenglei Yu; Chunfang Zhang; Luxu Liu; Hui Tian; Kaican Cai; Xiang Liu; Zheng Wang; Ning Xu; Qing Dong; Liang Chen; Yue Yang; Xiuyi Zhi; Hui Li; Xixiang Tu; Xiangrui Cai; Zeyu Jiang; Hua Ji; Lili Mo; Jiaxuan Wang; Jian-Bing Fan; Jianxing He
Journal:  J Clin Invest       Date:  2021-05-17       Impact factor: 14.808

9.  A Comparison of the PanCan Model and Lung-RADS to Assess Cancer Probability Among People With Screening-Detected, Solid Lung Nodules.

Authors:  Vandana Sundaram; Michael K Gould; Viswam S Nair
Journal:  Chest       Date:  2020-10-23       Impact factor: 9.410

10.  A Cost-Effective and Non-Invasive pfeRNA-Based Test Differentiates Benign and Suspicious Pulmonary Nodules from Malignant Ones.

Authors:  Wei Liu; Yuyan Wang; Hongchan Huang; Nadege Fackche; Kristen Rodgers; Beverly Lee; Wasay Nizam; Hamza Khan; Zhihao Lu; Xiangqian Kong; Yanfei Li; Naixin Liang; Xin Zhao; Xin Jin; Haibo Liu; Charles Conover Talbot; Peng Huang; James R Eshleman; Qi Lai; Yi Zhang; Malcolm V Brock; Yuping Mei
Journal:  Noncoding RNA       Date:  2021-12-16
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