Literature DB >> 24576597

Accuracy of fluorodeoxyglucose-positron emission tomography within the clinical practice of the American College of Surgeons Oncology Group Z4031 trial to diagnose clinical stage I non-small cell lung cancer.

Eric L Grogan1, Stephen A Deppen2, Karla V Ballman3, Gabriela M Andrade4, Francys C Verdial4, Melinda C Aldrich5, Chiu L Chen6, Paul A Decker3, David H Harpole7, Robert J Cerfolio8, Robert J Keenan9, David R Jones10, Thomas A D'Amico7, Joseph B Shrager11, Bryan F Meyers12, Joe B Putnam13.   

Abstract

BACKGROUND: Fluorodeoxyglucose-positron emission tomography (FDG-PET) is recommended for diagnosis and staging of non-small cell lung cancer (NSCLC). Meta-analyses of FDG-PET diagnostic accuracy demonstrated sensitivity of 96% and specificity of 78% but were performed in select centers, introducing potential bias. This study evaluates the accuracy of FDG-PET to diagnose NSCLC and examines differences across enrolling sites in the national American College of Surgeons Oncology Group (ACOSOG) Z4031 trial.
METHODS: Between 2004 and 2006, 959 eligible patients with clinical stage I (cT1-2 N0 M0) known or suspected NSCLC were enrolled in the Z4031 trial, and with a baseline FDG-PET available for 682. Final diagnosis was determined by pathologic examination. FDG-PET avidity was categorized into avid or not avid by radiologist description or reported maximum standard uptake value. FDG-PET diagnostic accuracy was calculated for the entire cohort. Accuracy differences based on preoperative size and by enrolling site were examined.
RESULTS: Preoperative FDG-PET results were available for 682 participants enrolled at 51 sites in 39 cities. Lung cancer prevalence was 83%. FDG-PET sensitivity was 82% (95% confidence interval, 79 to 85) and specificity was 31% (95% confidence interval, 23% to 40%). Positive and negative predictive values were 85% and 26%, respectively. Accuracy improved with lesion size. Of 80 false-positive scans, 69% were granulomas. False-negative scans occurred in 101 patients, with adenocarcinoma being the most frequent (64%), and 11 were 10 mm or less. The sensitivity varied from 68% to 91% (p=0.03), and the specificity ranged from 15% to 44% (p=0.72) across cities with more than 25 participants.
CONCLUSIONS: In a national surgical population with clinical stage I NSCLC, FDG-PET to diagnose lung cancer performed poorly compared with published studies.
Copyright © 2014 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24576597      PMCID: PMC4008142          DOI: 10.1016/j.athoracsur.2013.12.043

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  15 in total

1.  Procedure guideline for tumor imaging with 18F-FDG PET/CT 1.0.

Authors:  Dominique Delbeke; R Edward Coleman; Milton J Guiberteau; Manuel L Brown; Henry D Royal; Barry A Siegel; David W Townsend; Lincoln L Berland; J Anthony Parker; Karl Hubner; Michael G Stabin; George Zubal; Marc Kachelriess; Valerie Cronin; Scott Holbrook
Journal:  J Nucl Med       Date:  2006-05       Impact factor: 10.057

Review 2.  Evidence for the treatment of patients with pulmonary nodules: when is it lung cancer?: ACCP evidence-based clinical practice guidelines (2nd edition).

Authors:  Momen M Wahidi; Joseph A Govert; Ranjit K Goudar; Michael K Gould; Douglas C McCrory
Journal:  Chest       Date:  2007-09       Impact factor: 9.410

3.  An atlas of sensitivity to tuberculin, PPD-B, and histoplasmin in the United States.

Authors:  L B Edwards; F A Acquaviva; V T Livesay; F W Cross; C E Palmer
Journal:  Am Rev Respir Dis       Date:  1969-04

4.  [18F]Fluorodeoxyglucose uptake by positron emission tomography for diagnosis of suspected lung cancer: impact of verification bias.

Authors:  Michael S Lauer; Sudish C Murthy; Eugene H Blackstone; Ikenna C Okereke; Thomas W Rice
Journal:  Arch Intern Med       Date:  2007-01-22

5.  FDG-PET imaging and the diagnosis of non-small cell lung cancer in a region of high histoplasmosis prevalence.

Authors:  Donita R Croft; John Trapp; Kemp Kernstine; Peter Kirchner; Brian Mullan; Jeffery Galvin; Michael W Peterson; Thomas Gross; Geoffrey McLennan; Jeffrey A Kern
Journal:  Lung Cancer       Date:  2002-06       Impact factor: 5.705

Review 6.  Benefits and harms of CT screening for lung cancer: a systematic review.

Authors:  Peter B Bach; Joshua N Mirkin; Thomas K Oliver; Christopher G Azzoli; Donald A Berry; Otis W Brawley; Tim Byers; Graham A Colditz; Michael K Gould; James R Jett; Anita L Sabichi; Rebecca Smith-Bindman; Douglas E Wood; Amir Qaseem; Frank C Detterbeck
Journal:  JAMA       Date:  2012-06-13       Impact factor: 56.272

7.  Lung cancer screening with CT: Mayo Clinic experience.

Authors:  Stephen J Swensen; James R Jett; Thomas E Hartman; David E Midthun; Jeff A Sloan; Anne-Marie Sykes; Gregory L Aughenbaugh; Medy A Clemens
Journal:  Radiology       Date:  2003-01-24       Impact factor: 11.105

8.  CT screening for lung cancer: five-year prospective experience.

Authors:  Stephen J Swensen; James R Jett; Thomas E Hartman; David E Midthun; Sumithra J Mandrekar; Shauna L Hillman; Anne-Marie Sykes; Gregory L Aughenbaugh; Aaron O Bungum; Katie L Allen
Journal:  Radiology       Date:  2005-02-04       Impact factor: 11.105

9.  Noninvasive staging of non-small cell lung cancer: ACCP evidenced-based clinical practice guidelines (2nd edition).

Authors:  Gerard A Silvestri; Michael K Gould; Mitchell L Margolis; Lynn T Tanoue; Douglas McCrory; Eric Toloza; Frank Detterbeck
Journal:  Chest       Date:  2007-09       Impact factor: 9.410

Review 10.  Screening for lung cancer with low-dose computed tomography: a systematic review to update the US Preventive services task force recommendation.

Authors:  Linda L Humphrey; Mark Deffebach; Miranda Pappas; Christina Baumann; Kathryn Artis; Jennifer Priest Mitchell; Bernadette Zakher; Rongwei Fu; Christopher G Slatore
Journal:  Ann Intern Med       Date:  2013-09-17       Impact factor: 25.391

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  16 in total

1.  Cone-beam computed tomography in lung stereotactic ablative radiation therapy: predictive parameters of early response.

Authors:  Rosario Mazzola; Alba Fiorentino; Francesco Ricchetti; Niccolò Giaj Levra; Sergio Fersino; Gioacchino Di Paola; Antonio Lo Casto; Ruggero Ruggieri; Filippo Alongi
Journal:  Br J Radiol       Date:  2016-06-01       Impact factor: 3.039

2.  Noninvasive Differential Diagnosis of Pulmonary Nodules Using the Standardized Uptake Value Index.

Authors:  Satoshi Shiono; Naoki Yanagawa; Masami Abiko; Toru Sato
Journal:  Ann Thorac Cardiovasc Surg       Date:  2015-03-16       Impact factor: 1.520

3.  Comparative Age-Based Prospective Multi-Institutional Observations of 12,367 Patients Enrolled to the American College of Surgeons Oncology Group (ACOSOG) Z901101 Trials (Alliance).

Authors:  Waddah B Al-Refaie; Paul A Decker; Karla V Ballman; Peter W T Pisters; Mitchell C Posner; Kelly K Hunt; Bryan Meyers; Armin D Weinberg; Heidi Nelson; Lisa Newman; Angelina Tan; Jennifer G Le-Rademacher; Arti Hurria; Aminah Jatoi
Journal:  Ann Surg Oncol       Date:  2019-10-11       Impact factor: 5.344

4.  Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules.

Authors:  Michael N Kammer; Dhairya A Lakhani; Aneri B Balar; Sanja L Antic; Amanda K Kussrow; Rebekah L Webster; Shayan Mahapatra; Udaykamal Barad; Chirayu Shah; Thomas Atwater; Brenda Diergaarde; Jun Qian; Alexander Kaizer; Melissa New; Erin Hirsch; William J Feser; Jolene Strong; Matthew Rioth; York E Miller; Yoganand Balagurunathan; Dianna J Rowe; Sherif Helmey; Sheau-Chiann Chen; Joseph Bauza; Stephen A Deppen; Kim Sandler; Fabien Maldonado; Avrum Spira; Ehab Billatos; Matthew B Schabath; Robert J Gillies; David O Wilson; Ronald C Walker; Bennett Landman; Heidi Chen; Eric L Grogan; Anna E Barón; Darryl J Bornhop; Pierre P Massion
Journal:  Am J Respir Crit Care Med       Date:  2021-12-01       Impact factor: 30.528

5.  Assessment of Fluorodeoxyglucose F18-Labeled Positron Emission Tomography for Diagnosis of High-Risk Lung Nodules.

Authors:  Amelia W Maiga; Stephen A Deppen; Sarah Fletcher Mercaldo; Jeffrey D Blume; Chandler Montgomery; Laszlo T Vaszar; Christina Williamson; James M Isbell; Otis B Rickman; Rhonda Pinkerman; Eric S Lambright; Jonathan C Nesbitt; Eric L Grogan
Journal:  JAMA Surg       Date:  2018-04-01       Impact factor: 14.766

6.  Predicting lung cancer prior to surgical resection in patients with lung nodules.

Authors:  Stephen A Deppen; Jeffrey D Blume; Melinda C Aldrich; Sarah A Fletcher; Pierre P Massion; Ronald C Walker; Heidi C Chen; Theodore Speroff; Catherine A Degesys; Rhonda Pinkerman; Eric S Lambright; Jonathan C Nesbitt; Joe B Putnam; Eric L Grogan
Journal:  J Thorac Oncol       Date:  2014-10       Impact factor: 15.609

7.  Cost-effectiveness of initial diagnostic strategies for pulmonary nodules presenting to thoracic surgeons.

Authors:  Stephen A Deppen; William T Davis; Elizabeth A Green; Otis Rickman; Melinda C Aldrich; Sarah Fletcher; Joseph B Putnam; Eric L Grogan
Journal:  Ann Thorac Surg       Date:  2014-07-31       Impact factor: 4.330

8.  Characterization of 18F-fluorodeoxyglucose metabolic spatial distribution improves the differential diagnosis of indeterminate pulmonary nodules and masses with high fluorodeoxyglucose uptake.

Authors:  Jie Lin; Ling Wang; Xiaowei Ji; Xiangwu Zheng; Kun Tang
Journal:  Quant Imaging Med Surg       Date:  2021-04

9.  Validation of Histoplasmosis Enzyme Immunoassay to Evaluate Suspicious Lung Nodules.

Authors:  Maren E Shipe; Stephen A Deppen; Shelbi Sullivan; Michael Kammer; Sandra L Starnes; David O Wilson; Pierre P Massion; Eric L Grogan
Journal:  Ann Thorac Surg       Date:  2020-07-16       Impact factor: 4.330

10.  Intratumoral Heterogeneity of Subcutaneous Nodules in a Never-Smoker Woman of Lung Squamous Cell Carcinoma Detected on 18F-Fluorodeoxyglucose Positron Emission Tomography and Computed Tomography: A Case Report.

Authors:  Qian Zhao; Zhong-Tang Wang; Jing-Long Sun; Dan Han; Dian-Zheng An; Da-Kai Zhang; Bao-Sheng Li
Journal:  Medicine (Baltimore)       Date:  2015-05       Impact factor: 1.889

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