Literature DB >> 34787695

Diagnostic Performance of the Herder Model in Veterans Undergoing PET Scans for Pulmonary Nodule Evaluation.

Yevgeniy Vayntrub1,2, Eric Gartman1,2, Linda Nici1,2, Matthew D Jankowich3,4.   

Abstract

British Thoracic Society (BTS) guidelines recommend using the Herder model to risk-stratify lung nodules after positron emission tomography (PET). However, this approach has not been adequately evaluated, particularly among Veterans. A single-center retrospective cohort study was carried out in U.S. Veterans with pulmonary nodules assessed by PET to validate the Herder model; decision analysis using risk thresholds from the BTS guidelines was performed. One hundred subjects met inclusion criteria. Area under the curve of the Herder model for predicting malignancy was 0.87 for all lung nodules and 0.90 for newly discovered nodules. For low- and high-risk lung nodules, BTS guidelines would have recommended appropriate care in this patient cohort.
© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Entities:  

Keywords:  Diagnosis; Lung Neoplasms; Positron Emission Tomography; Pulmonary Nodule

Mesh:

Substances:

Year:  2021        PMID: 34787695     DOI: 10.1007/s00408-021-00495-x

Source DB:  PubMed          Journal:  Lung        ISSN: 0341-2040            Impact factor:   2.584


  6 in total

1.  Multicenter external validation of two malignancy risk prediction models in patients undergoing 18F-FDG-PET for solitary pulmonary nodule evaluation.

Authors:  Simone Perandini; G A Soardi; A R Larici; A Del Ciello; G Rizzardi; A Solazzo; L Mancino; F Zeraj; M Bernhart; M Signorini; M Motton; S Montemezzi
Journal:  Eur Radiol       Date:  2016-09-15       Impact factor: 5.315

2.  British Thoracic Society guidelines for the investigation and management of pulmonary nodules.

Authors:  M E J Callister; D R Baldwin; A R Akram; S Barnard; P Cane; J Draffan; K Franks; F Gleeson; R Graham; P Malhotra; M Prokop; K Rodger; M Subesinghe; D Waller; I Woolhouse
Journal:  Thorax       Date:  2015-08       Impact factor: 9.139

3.  Cancer Incidence Among Patients of the U.S. Veterans Affairs Health Care System: 2010 Update.

Authors:  Leah L Zullig; Kellie J Sims; Rebecca McNeil; Christina D Williams; George L Jackson; Dawn Provenzale; Michael J Kelley
Journal:  Mil Med       Date:  2017-07       Impact factor: 1.437

4.  Risk of malignancy in pulmonary nodules: A validation study of four prediction models.

Authors:  Ali Al-Ameri; Puneet Malhotra; Helene Thygesen; Paul K Plant; Sri Vaidyanathan; Shishir Karthik; Andrew Scarsbrook; Matthew E J Callister
Journal:  Lung Cancer       Date:  2015-03-28       Impact factor: 5.705

5.  Are patients at Veterans Affairs medical centers sicker? A comparative analysis of health status and medical resource use.

Authors:  Z Agha; R P Lofgren; J V VanRuiswyk; P M Layde
Journal:  Arch Intern Med       Date:  2000-11-27

6.  Clinical prediction model to characterize pulmonary nodules: validation and added value of 18F-fluorodeoxyglucose positron emission tomography.

Authors:  Gerarda J Herder; Harm van Tinteren; Richard P Golding; Piet J Kostense; Emile F Comans; Egbert F Smit; Otto S Hoekstra
Journal:  Chest       Date:  2005-10       Impact factor: 9.410

  6 in total
  1 in total

1.  LUNG Year in Review: 2021.

Authors:  Peter V Dicpinigaitis
Journal:  Lung       Date:  2022-01-18       Impact factor: 3.777

  1 in total

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