Literature DB >> 25533223

Quantification of coronary artery calcium in nongated CT to predict cardiovascular events in male lung cancer screening participants: results of the NELSON study.

Richard A P Takx1, Ivana Išgum2, Martin J Willemink3, Yolanda van der Graaf4, Harry J de Koning5, Rozemarijn Vliegenthart6, Matthijs Oudkerk7, Tim Leiner3, Pim A de Jong3.   

Abstract

OBJECTIVE: To evaluate the incremental prognostic value of the number and maximum volume of coronary artery calcifications over modified Agatston score strata, age, pack-years, and smoking status for predicting cardiovascular events.
METHODS: A total of 3559 male current and former smokers received a CT examination for lung cancer screening. Smoking characteristics, patient demographics, and physician-diagnosed cardiovascular events were collected. Images were acquired without electrocardiography gating on 16-slice CT scanners. The association between the presence of both fatal and nonfatal cardiovascular events and the predictors was quantified using Cox proportional hazard analysis.
RESULTS: Median follow-up period was 2.9 years. Incident cardiovascular events occurred in 186 participants. Adjusted hazard ratios for modified Agatston score strata of 1 to 10, 11 to 100, 101 to 400, and >400 were 3.39 (95% confidence interval [CI], 1.20-9.59), 6.52 (95% CI, 2.73-15.60), 6.58 (95% CI, 2.75-15.78), and 12.58 (95% CI, 5.42-29.16), respectively. Moreover, comparing the models with and without modified Agatston score strata to the model with age, pack-years, and smoking status yielded a significantly better net reclassification improvement (NRI; 27.3%; P < .0001). Adding the number of calcifications to the model with age, pack-years, smoking status, and modified Agatston score strata resulted in a slightly better NRI (1.68%; P = .0490) with a hazard ratio of 1.13 (95% CI, 1.05-1.21) per 10 calcifications. The incremental prognostic information contained in the volume of the largest calcification was not statistically significant (NRI, 0.14%; P = .3458).
CONCLUSION: Cardiovascular event rate increased with higher numbers of calcified lesions. The number but not maximum volume of calcifications has independent, although minimal, prognostic value over age, pack-years, smoking status, and modified Agatston score strata in our population.
Copyright © 2015 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Agatston score; Cardiovascular event; Computed tomography; Coronary artery calcification; Lung cancer screening

Mesh:

Year:  2014        PMID: 25533223     DOI: 10.1016/j.jcct.2014.11.006

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  19 in total

Review 1.  Addressing Knowledge Gaps in the 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: a Review of Recent Coronary Artery Calcium Literature.

Authors:  Vasanth Sathiyakumar; Roger S Blumenthal; Khurram Nasir; Seth S Martin
Journal:  Curr Atheroscler Rep       Date:  2017-02       Impact factor: 5.113

Review 2.  Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation.

Authors:  Sharmila Dorbala; Karthik Ananthasubramaniam; Ian S Armstrong; Panithaya Chareonthaitawee; E Gordon DePuey; Andrew J Einstein; Robert J Gropler; Thomas A Holly; John J Mahmarian; Mi-Ae Park; Donna M Polk; Raymond Russell; Piotr J Slomka; Randall C Thompson; R Glenn Wells
Journal:  J Nucl Cardiol       Date:  2018-10       Impact factor: 5.952

Review 3.  Coronary artery calcification in lung cancer screening.

Authors:  James G Ravenel; John W Nance
Journal:  Transl Lung Cancer Res       Date:  2018-06

Review 4.  2022 ASNC/AAPM/SCCT/SNMMI guideline for the use of CT in hybrid nuclear/CT cardiac imaging.

Authors:  Mouaz H Al-Mallah; Timothy M Bateman; Kelley R Branch; Andrew Crean; Eric L Gingold; Randall C Thompson; Sarah E McKenney; Edward J Miller; Venkatesh L Murthy; Koen Nieman; Todd C Villines; Michael V Yester; Andrew J Einstein; John J Mahmarian
Journal:  J Nucl Cardiol       Date:  2022-09-02       Impact factor: 3.872

5.  Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs.

Authors:  Eldad Elnekave; Ran Balicer; Noam Barda; Noa Dagan; Amos Stemmer; Janni Yuval; Eitan Bachmat
Journal:  J Digit Imaging       Date:  2022-03-16       Impact factor: 4.903

6.  National trends among radiologists in reporting coronary artery calcium in non-gated chest computed tomography.

Authors:  Jacobo Kirsch; Felipe Martinez; David Lopez; Gian M Novaro; Craig R Asher
Journal:  Int J Cardiovasc Imaging       Date:  2016-09-27       Impact factor: 2.357

7.  Coronary Artery Calcium Scores and Atherosclerotic Cardiovascular Disease Risk Stratification in Smokers.

Authors:  Adam Leigh; John W McEvoy; Parveen Garg; J Jeffrey Carr; Veit Sandfort; Elizabeth C Oelsner; Matthew Budoff; David Herrington; Joseph Yeboah
Journal:  JACC Cardiovasc Imaging       Date:  2018-02-14

8.  Qualitative coronary artery calcium assessment on CT lung screening exam helps predict first cardiac events.

Authors:  Katherine B Malcolm; Danya L Dinwoodey; Michael C Cundiff; Shawn M Regis; Andrea K Borondy Kitts; Christoph Wald; Miranda L Lynch; Wael Al-Husami; Andrea B McKee; Brady J McKee
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

9.  Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT.

Authors:  Bob D de Vos; Nikolas Lessmann; Pim A de Jong; Ivana Išgum
Journal:  Radiol Cardiothorac Imaging       Date:  2021-04-15

10.  Cardiovascular Risk in the Lung Cancer Screening Population: A Multicenter Study Evaluating the Association Between Coronary Artery Calcification and Preventive Statin Prescription.

Authors:  Tina D Tailor; Caroline Chiles; Joseph Yeboah; M Patricia Rivera; Betty C Tong; Fides R Schwartz; Thad Benefield; Lindsay M Lane; Ilona Stashko; Samantha M Thomas; Louise M Henderson
Journal:  J Am Coll Radiol       Date:  2021-02-26       Impact factor: 6.240

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