Literature DB >> 33123794

Variability in interpretation of low-dose chest CT using computerized assessment in a nationwide lung cancer screening program: comparison of prospective reading at individual institutions and retrospective central reading.

Eui Jin Hwang1, Jin Mo Goo2,3, Hyae Young Kim4, Soon Ho Yoon1, Gong Yong Jin5, Jaeyoun Yi6, Yeol Kim7.   

Abstract

OBJECTIVES: To evaluate the degree of variability in computer-assisted interpretation of low-dose chest CTs (LDCTs) among radiologists in a nationwide lung cancer screening (LCS) program, through comparison with a retrospective interpretation from a central laboratory.
MATERIALS AND METHODS: Consecutive baseline LDCTs (n = 3353) from a nationwide LCS program were investigated. In the institutional reading, 20 radiologists in 14 institutions interpreted LDCTs using computer-aided detection and semi-automated segmentation systems for lung nodules. In the retrospective central review, a single radiologist re-interpreted all LDCTs using the same system, recording any non-calcified nodules ≥ 3 mm without arbitrary rejection of semi-automated segmentation to minimize the intervention of radiologist's discretion. Positive results (requiring additional follow-up LDCTs or diagnostic procedures) were initially classified by the lung CT screening reporting and data system (Lung-RADS) during the interpretation, while the classifications based on the volumetric criteria from the Dutch-Belgian lung cancer screening trial (NELSON) were retrospectively applied. Variabilities in positive rates were assessed with coefficients of variation (CVs).
RESULTS: In the institutional reading, positive rates by the Lung-RADS ranged from 7.5 to 43.3%, and those by the NELSON ranged from 11.4 to 45.0% across radiologists. The central review exhibited higher positive rates by Lung-RADS (20.0% vs. 27.3%; p < .001) and the NELSON (23.1% vs. 37.0%; p < .001), and lower inter-institution variability (CV, 0.30 vs. 0.12, p = .003 by Lung-RADS; CV, 0.25 vs. 0.12, p = .014 by the NELSON) compared to the institutional reading.
CONCLUSION: Considerable inter-institution variability in the interpretation of LCS results is caused by different usage of the computer-assisted system. KEY POINTS: • Considerable variability existed in the interpretation of screening LDCT among radiologists partly from the different usage of the computerized system. • A retrospective reading of low-dose chest CTs in the central laboratory resulted in reduced variability but an increased positive rate.

Entities:  

Keywords:  Early detection of cancer; Image interpretation; Lung neoplasms; Tomography, X-Ray computed

Year:  2020        PMID: 33123794     DOI: 10.1007/s00330-020-07424-1

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  1 in total

1.  A computer-aided diagnosis (CAD) system in lung cancer screening with computed tomography.

Authors:  Yoshiyuki Abe; Kouzo Hanai; Makiko Nakano; Yasuyuki Ohkubo; Toshinori Hasizume; Toru Kakizaki; Masato Nakamura; Noboru Niki; Kenji Eguchi; Tadahiko Fujino; Noriyuki Moriyama
Journal:  Anticancer Res       Date:  2005 Jan-Feb       Impact factor: 2.480

  1 in total
  3 in total

1.  Community-based Lung Cancer Screening Results in Relation to Patient and Radiologist Characteristics: The PROSPR Consortium.

Authors:  Andrea N Burnett-Hartman; Nikki M Carroll; Stacey A Honda; Caroline Joyce; Nandita Mitra; Christine Neslund-Dudas; Oluwatosin Olaiya; Katharine A Rendle; Mitchell D Schnall; Anil Vachani; Debra P Ritzwoller
Journal:  Ann Am Thorac Soc       Date:  2022-03

2.  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

3.  Determination of the optimum definition of growth evaluation for indeterminate pulmonary nodules detected in lung cancer screening.

Authors:  Jong Hyuk Lee; Eui Jin Hwang; Woo Hyeon Lim; Jin Mo Goo
Journal:  PLoS One       Date:  2022-09-15       Impact factor: 3.752

  3 in total

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