Literature DB >> 24992501

ACR-STR practice parameter for the performance and reporting of lung cancer screening thoracic computed tomography (CT): 2014 (Resolution 4).

Ella A Kazerooni1, John H M Austin, William C Black, Debra S Dyer, Todd R Hazelton, Ann N Leung, Michael F McNitt-Gray, Reginald F Munden, Sudhakar Pipavath.   

Abstract

Entities:  

Mesh：

Year:  2014        PMID： 24992501     DOI： 10.1097/RTI.0000000000000097

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN： 0883-5993            Impact factor:   3.000


× No keyword cloud information.
  37 in total

1.  [Follow-up for subsolid pulmonary nodules with low-dose CT : Evidence-based scheme for participants of a bronchial carcinoma screening].

Authors:  M J Weinrich; M Avanesov
Journal:  Radiologe       Date:  2016-07       Impact factor: 0.635

Review 2.  Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening.

Authors:  Chara E Rydzak; Samuel G Armato; Ricardo S Avila; James L Mulshine; David F Yankelevitz; David S Gierada
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

3.  Classification of lung nodules based on CT images using squeeze-and-excitation network and aggregated residual transformations.

Authors:  Guobin Zhang; Zhiyong Yang; Li Gong; Shan Jiang; Lu Wang; Hongyun Zhang
Journal:  Radiol Med       Date:  2020-01-08       Impact factor: 3.469

4.  CT Screening for Lung Cancer: Nonsolid Nodules in Baseline and Annual Repeat Rounds.

Authors:  David F Yankelevitz; Rowena Yip; James P Smith; Mingzhu Liang; Ying Liu; Dong Ming Xu; Mary M Salvatore; Andrea S Wolf; Raja M Flores; Claudia I Henschke
Journal:  Radiology       Date:  2015-06-23       Impact factor: 11.105

Review 5.  Controversies on lung cancers manifesting as part-solid nodules.

Authors:  Rowena Yip; Kunwei Li; Li Liu; Dongming Xu; Kathleen Tam; David F Yankelevitz; Emanuela Taioli; Betsy Becker; Claudia I Henschke
Journal:  Eur Radiol       Date:  2017-08-23       Impact factor: 5.315

6.  An official American Thoracic Society/American College of Chest Physicians policy statement: implementation of low-dose computed tomography lung cancer screening programs in clinical practice.

Authors:  Renda Soylemez Wiener; Michael K Gould; Douglas A Arenberg; David H Au; Kathleen Fennig; Carla R Lamb; Peter J Mazzone; David E Midthun; Maryann Napoli; David E Ost; Charles A Powell; M Patricia Rivera; Christopher G Slatore; Nichole T Tanner; Anil Vachani; Juan P Wisnivesky; Sue H Yoon
Journal:  Am J Respir Crit Care Med       Date:  2015-10-01       Impact factor: 21.405

7.  Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules.

Authors:  Jumin Zhao; Chen Zhang; Dengao Li; Jing Niu
Journal:  J Digit Imaging       Date:  2020-08       Impact factor: 4.056

8.  Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data.

Authors:  Rahul Paul; Matthew B Schabath; Robert Gillies; Lawrence O Hall; Dmitry B Goldgof
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-06

Review 9.  The importance of the regimen of screening in maximizing the benefit and minimizing the harms.

Authors:  Claudia I Henschke; Kunwei Li; Rowena Yip; Mary Salvatore; David F Yankelevitz
Journal:  Ann Transl Med       Date:  2016-04

Review 10.  [Early recognition of lung cancer in workers occupationally exposed to asbestos].

Authors:  K Hofmann-Preiß; B Rehbock
Journal:  Radiologe       Date:  2016-09       Impact factor: 0.635
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.