Literature DB >> 33944631

Lung-RADS Version 1.0 versus Lung-RADS Version 1.1: Comparison of Categories Using Nodules from the National Lung Screening Trial.

Julia Kastner1, Rydhwana Hossain1, Jean Jeudy1, Farouk Dako1, Varun Mehta1, Sandeep Dalal1, Ekta Dharaiya1, Charles White1.   

Abstract

Background The American College of Radiology updated Lung Imaging Reporting and Data System (Lung-RADS) version 1.0 to version 1.1 in May 2019, with the two key changes involving perifissural nodules (PFNs) and ground-glass nodules (GGNs) now designated as a negative screening result. This study examines the effects of these changes using National Lung Screening Trial (NLST) data. Purpose To determine the frequency of PFNs and GGNs reclassified from category 3 or 4A to the more benign category 2 in the updated Lung-RADS version 1.1, as compared with Lung-RADS version 1.0, using CT scans from the NLST. Materials and Methods In this secondary analysis of the NLST, the authors studied all noncalcified nodules (NCNs) found on the incident scan. Nodules were evaluated using criteria from both Lung-RADS version 1.0 and version 1.1, which were compared to determine changes in the number of nodules deemed benign. A McNemar test was used to assess statistical significance. Results A total of 2813 patients (mean age ± standard deviation, 62 years ± 5; 1717 men) with 4408 NCNs were studied. Of the largest 1092 solid NCNs measuring at least 6 mm but less than 10 mm, 216 (19.8%) were deemed PFNs (category 2) using Lung-RADS version 1.1. Eleven of the 1092 solid NCNs (1.0%) were malignant, but none were PFNs. Of 161 GGNs, three (1.9%) were category 3 according to Lung-RADS version 1.0, of which two (66.7%) were down-classified to category 2 with version 1.1. One of the three down-categorized GGNs (version 1.1) proved to be malignant (false-negative finding). Statistically significant improvement for Lung-RADS version 1.1 was found for total nodules (P < .01) and PFNs (P < .01), but not GGNs (P = .48). Conclusion This secondary analysis of National Lung Screening Trial data shows that Lung Imaging Reporting and Data System version 1.1 decreased the number of false-positive results. This was related to the down-classification of perifissural nodules in the range of 6 up to 10 mm. The increase in allowable nodule size for ground-glass nodules in category 2 from 20 mm (version 1.0) to 30 mm (version 1.1) showed no benefit. © RSNA, 2021 See also the editorial by Mayo and Lam in this issue.

Entities:  

Year:  2021        PMID: 33944631     DOI: 10.1148/radiol.2021203704

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


  5 in total

Review 1.  Impact of low-dose computed tomography (LDCT) screening on lung cancer-related mortality.

Authors:  Asha Bonney; Reem Malouf; Corynne Marchal; David Manners; Kwun M Fong; Henry M Marshall; Louis B Irving; Renée Manser
Journal:  Cochrane Database Syst Rev       Date:  2022-08-03

2.  Personalized Chest Computed Tomography: Minimum Diagnostic Radiation Dose Levels for the Detection of Fibrosis, Nodules, and Pneumonia.

Authors:  Matthias May; Rafael Heiss; Julia Koehnen; Matthias Wetzl; Marco Wiesmueller; Christoph Treutlein; Lars Braeuer; Michael Uder; Markus Kopp
Journal:  Invest Radiol       Date:  2022-03-01       Impact factor: 6.016

3.  Cost-Effectiveness of Artificial Intelligence Support in Computed Tomography-Based Lung Cancer Screening.

Authors:  Sebastian Ziegelmayer; Markus Graf; Marcus Makowski; Joshua Gawlitza; Felix Gassert
Journal:  Cancers (Basel)       Date:  2022-03-29       Impact factor: 6.639

4.  Low-dose CT for lung cancer screening: position paper from the Italian college of thoracic radiology.

Authors:  Mario Silva; Giulia Picozzi; Nicola Sverzellati; Sandra Anglesio; Maurizio Bartolucci; Edoardo Cavigli; Annalisa Deliperi; Massimo Falchini; Fabio Falaschi; Domenico Ghio; Paola Gollini; Anna Rita Larici; Alfonso V Marchianò; Stefano Palmucci; Lorenzo Preda; Chiara Romei; Carlo Tessa; Cristiano Rampinelli; Mario Mascalchi
Journal:  Radiol Med       Date:  2022-03-20       Impact factor: 6.313

5.  Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?

Authors:  Marco Curti; Federico Fontana; Filippo Piacentino; Christian Ossola; Andrea Coppola; Giulio Carcano; Massimo Venturini
Journal:  Eur Radiol Exp       Date:  2022-08-15
  5 in total

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