Literature DB >> 30667335

Vancouver Risk Calculator Compared with ACR Lung-RADS in Predicting Malignancy: Analysis of the National Lung Screening Trial.

Charles S White1, Ekta Dharaiya1, Sandeep Dalal1, Rong Chen1, Linda B Haramati1.   

Abstract

Purpose To compare the Vancouver risk calculator (VRC) with American College of Radiology (ACR) Lung Imaging Reporting and Data System (Lung-RADS) in predicting the risk of malignancy in the National Lung Screening Trial (NLST). Materials and Methods A total of 2813 patients with 4408 nodules (4078 solid, 330 subsolid) were available from the NLST for evaluation. Nodules were scored by using VRC with nine parameters (output was the percentage likelihood of malignancy; VRC threshold for malignancy likelihood set as greater than 5%) and Lung-RADS (output was category 2-4B; malignancy defined as category 4A or 4B; malignancy likelihood greater than 5%). Lung-RADS and VRC were compared for sensitivity, specificity, and accuracy for malignancy on a per-nodule and per-patient basis. Results Of 4408 total nodules, 100 of 4078 (2.5%) solid nodules were malignant and 10 of 330 (3%) subsolid nodules were malignant. On an overall per-nodule basis, the sensitivity, specificity, and accuracy for VRC and Lung-RADS were 93%, 90%, and 90% for VRC and 87%, 83%, and 83% for Lung-RADS, respectively (P = .077, P < .001, and P < .001, respectively). On a per-patient basis, the sensitivity, specificity, and accuracy for VRC and Lung-RADS were 93%, 85%, and 85% for VRC and 87%, 76%, and 76% for Lung-RADS, respectively (P = .077, P < .001, and P < .001, respectively). Conclusion The Vancouver risk calculator had superior overall accuracy than the Lung Imaging Reporting and Data System in predicting malignancy in the National Lung Screening Trial for total nodules, as well as on a per-patient basis. © RSNA, 2019 See also the editorial by Black in this issue.

Entities:  

Year:  2019        PMID: 30667335     DOI: 10.1148/radiol.2018181050

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  14 in total

1.  Detection of Promoter DNA Methylation in Urine and Plasma Aids the Detection of Non-Small Cell Lung Cancer.

Authors:  Bin Liu; Julio Ricarte Filho; Apurva Mallisetty; Cassandra Villani; Anastasia Kottorou; Kristen Rodgers; Chen Chen; Tomoaki Ito; Kyla Holmes; Nicole Gastala; Klara Valyi-Nagy; Odile David; Ron C Gaba; Christian Ascoli; Mary Pasquinelli; Lawrence E Feldman; Malek G Massad; Tza-Huei Wang; Ignacio Jusue-Torres; Enrico Benedetti; Robert A Winn; Malcolm V Brock; James G Herman; Alicia Hulbert
Journal:  Clin Cancer Res       Date:  2020-05-19       Impact factor: 12.531

Review 2.  Low-Dose CT Screening for Lung Cancer: Evidence from 2 Decades of Study.

Authors:  David S Gierada; William C Black; Caroline Chiles; Paul F Pinsky; David F Yankelevitz
Journal:  Radiol Imaging Cancer       Date:  2020-03-27

3.  Performance of the Vancouver Risk Calculator Compared with Lung-RADS in an Urban, Diverse Clinical Lung Cancer Screening Cohort.

Authors:  Abraham Kessler; Robert Peng; Edward Mardakhaev; Linda B Haramati; Charles S White
Journal:  Radiol Imaging Cancer       Date:  2020-03-27

4.  Cancer Risk in Subsolid Nodules in the National Lung Screening Trial.

Authors:  Mark M Hammer; Lauren L Palazzo; Chung Yin Kong; Andetta R Hunsaker
Journal:  Radiology       Date:  2019-09-17       Impact factor: 11.105

5.  Cost-Effectiveness of Management Algorithms for Lung-RADS Category 4 Nodules.

Authors:  Mark M Hammer; Sumit Gupta; Chung Yin Kong
Journal:  Radiol Cardiothorac Imaging       Date:  2021-04-15

6.  Lung Nodule Risk Calculator and Cost-Effectiveness of Different Lung Cancer Screening Algorithms.

Authors:  Brett M Elicker
Journal:  Radiol Cardiothorac Imaging       Date:  2021-04-15

7.  Lung cancer screening in patients with previous malignancy: Is this cohort at increased risk for malignancy?

Authors:  Elisabeth O'Dwyer; Darragh F Halpenny; Michelle S Ginsberg
Journal:  Eur Radiol       Date:  2020-07-29       Impact factor: 5.315

8.  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

9.  Executive Summary: Screening for Lung Cancer: Chest Guideline and Expert Panel Report.

Authors:  Peter J Mazzone; Gerard A Silvestri; Lesley H Souter; Tanner J Caverly; Jeffrey P Kanne; Hormuzd A Katki; Renda Soylemez Wiener; Frank C Detterbeck
Journal:  Chest       Date:  2021-07-13       Impact factor: 9.410

10.  Screening for Lung Cancer: CHEST Guideline and Expert Panel Report.

Authors:  Peter J Mazzone; Gerard A Silvestri; Lesley H Souter; Tanner J Caverly; Jeffrey P Kanne; Hormuzd A Katki; Renda Soylemez Wiener; Frank C Detterbeck
Journal:  Chest       Date:  2021-07-13       Impact factor: 9.410

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