Literature DB >> 27461068

Comparing the performance of trained radiographers against experienced radiologists in the UK lung cancer screening (UKLS) trial.

Arjun Nair1, Natalie Gartland2, Bruce Barton2, Diane Jones3, Leigh Clements4, Nicholas J Screaton4, John A Holemans3, Stephen W Duffy5, John K Field6, David R Baldwin7, David M Hansell2, Anand Devaraj2.   

Abstract

OBJECTIVE: To compare the performance of radiographers against that of radiologists for CT lung nodule detection in the UK Lung Cancer Screening (UKLS) pilot trial.
METHODS: Four radiographers, trained in CT nodule detection, and three radiologists were prospectively evaluated. 290 CTs performed for the UKLS were independently read by 2 radiologists and 2 radiographers. The reference standard comprised all radiologist-identified positive nodules after arbitration of discrepancies. For each radiographer and radiologist, relative sensitivity and average false positives (FPs) per case were compared for all cases read, as well as for subsets of cases read by each radiographer-radiologist combination (10 combinations).
RESULTS: 599 nodules in 209/290 (72.1%) CT studies comprised the reference standard. The relative mean (±standard deviation) sensitivity of the four radiographers was 71.6 ± 8.5% compared with 83.3 ± 8.1% for the three radiologists. Radiographers were less sensitive and detected more FPs per case than radiologists in 7/10 and 8/10 radiographer-radiologist combinations, respectively (ranges of difference 11.2-33.8% and 0.4-2.6; p < 0.05). In 3/10 and 2/10 combinations, there was no difference in sensitivity and FPs per case between radiographers and radiologists. For nodules ≥100 mm(3) in volume or ≥5 mm in maximum diameter, radiographers were relatively less sensitive than radiologists in only 5/10 radiographer-radiologist combinations (range of difference 16.1-30.6%; p < 0.05) and not significantly different in the remaining 5/10 combinations.
CONCLUSION: Although overall radiographer performance was lower than that of experienced radiologists in this study, some radiographer performances were comparable with that of radiologists. ADVANCES IN KNOWLEDGE: Overall, radiographers were less sensitive than radiologists reading the same CTs and also displayed higher average FP detections per case when compared with a reference standard derived from radiologist readings. However, some radiographers compared favourably with radiologists, especially when considering larger potentially clinically relevant nodules. Thus, while probably not sensitive enough to function as first readers, radiographers may still be able to fulfil the role of an assistant reader-that is, as a first or concurrent reader, who presents detected nodules for verification to a reading radiologist.

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Year:  2016        PMID: 27461068      PMCID: PMC5124804          DOI: 10.1259/bjr.20160301

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  28 in total

1.  Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists.

Authors:  Katharina Marten; Tobias Seyfarth; Florian Auer; Edzard Wiener; Andreas Grillhösl; Silvia Obenauer; Ernst J Rummeny; Christoph Engelke
Journal:  Eur Radiol       Date:  2004-07-03       Impact factor: 5.315

2.  An observational study to evaluate the performance of units using two radiographers to read screening mammograms.

Authors:  R L Bennett; S J Sellars; R G Blanks; S M Moss
Journal:  Clin Radiol       Date:  2011-11-08       Impact factor: 2.350

3.  Comparison of sensitivity of lung nodule detection between radiologists and technologists on low-dose CT lung cancer screening images.

Authors:  R Kakinuma; K Ashizawa; T Kobayashi; A Fukushima; H Hayashi; T Kondo; M Machida; M Matsusako; K Minami; K Oikado; M Okuda; S Takamatsu; M Sugawara; S Gomi; Y Muramatsu; K Hanai; Y Muramatsu; M Kaneko; R Tsuchiya; N Moriyama
Journal:  Br J Radiol       Date:  2012-09       Impact factor: 3.039

4.  Detection failures in spiral CT screening for lung cancer: analysis of CT findings.

Authors:  R Kakinuma; H Ohmatsu; M Kaneko; K Eguchi; T Naruke; K Nagai; Y Nishiwaki; A Suzuki; N Moriyama
Journal:  Radiology       Date:  1999-07       Impact factor: 11.105

5.  Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening.

Authors:  Nanda Horeweg; Joost van Rosmalen; Marjolein A Heuvelmans; Carlijn M van der Aalst; Rozemarijn Vliegenthart; Ernst Th Scholten; Kevin ten Haaf; Kristiaan Nackaerts; Jan-Willem J Lammers; Carla Weenink; Harry J Groen; Peter van Ooijen; Pim A de Jong; Geertruida H de Bock; Willem Mali; Harry J de Koning; Matthijs Oudkerk
Journal:  Lancet Oncol       Date:  2014-10-01       Impact factor: 41.316

6.  Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement.

Authors:  Virginia A Moyer
Journal:  Ann Intern Med       Date:  2014-03-04       Impact factor: 25.391

7.  UK Lung Screen (UKLS) nodule management protocol: modelling of a single screen randomised controlled trial of low-dose CT screening for lung cancer.

Authors:  D R Baldwin; S W Duffy; N J Wald; R Page; D M Hansell; J K Field
Journal:  Thorax       Date:  2011-02-11       Impact factor: 9.139

Review 8.  CT screening for lung cancer: countdown to implementation.

Authors:  John K Field; David M Hansell; Stephen W Duffy; David R Baldwin
Journal:  Lancet Oncol       Date:  2013-12       Impact factor: 41.316

9.  UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening.

Authors:  J K Field; S W Duffy; D R Baldwin; D K Whynes; A Devaraj; K E Brain; T Eisen; J Gosney; B A Green; J A Holemans; T Kavanagh; K M Kerr; M Ledson; K J Lifford; F E McRonald; A Nair; R D Page; M K B Parmar; D M Rassl; R C Rintoul; N J Screaton; N J Wald; D Weller; P R Williamson; G Yadegarfar; D M Hansell
Journal:  Thorax       Date:  2015-12-08       Impact factor: 9.139

10.  The LLP risk model: an individual risk prediction model for lung cancer.

Authors:  A Cassidy; J P Myles; M van Tongeren; R D Page; T Liloglou; S W Duffy; J K Field
Journal:  Br J Cancer       Date:  2007-12-18       Impact factor: 7.640

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  5 in total

Review 1.  Lung cancer screening-low dose CT for lung cancer screening: recent trial results and next steps.

Authors:  Emma Louise O'Dowd; David R Baldwin
Journal:  Br J Radiol       Date:  2017-10-17       Impact factor: 3.039

2.  The impact of trained radiographers as concurrent readers on performance and reading time of experienced radiologists in the UK Lung Cancer Screening (UKLS) trial.

Authors:  Arjun Nair; Nicholas J Screaton; John A Holemans; Diane Jones; Leigh Clements; Bruce Barton; Natalie Gartland; Stephen W Duffy; David R Baldwin; John K Field; David M Hansell; Anand Devaraj
Journal:  Eur Radiol       Date:  2017-06-22       Impact factor: 5.315

3.  Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population.

Authors:  John T Murchison; Gillian Ritchie; David Senyszak; Jeroen H Nijwening; Gerben van Veenendaal; Joris Wakkie; Edwin J R van Beek
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

4.  The role of computer-assisted radiographer reporting in lung cancer screening programmes.

Authors:  Sam M Janes; Helen Hall; Mamta Ruparel; Samantha L Quaife; Jennifer L Dickson; Carolyn Horst; Sophie Tisi; James Batty; Nicholas Woznitza; Asia Ahmed; Stephen Burke; Penny Shaw; May Jan Soo; Magali Taylor; Neal Navani; Angshu Bhowmik; David R Baldwin; Stephen W Duffy; Anand Devaraj; Arjun Nair
Journal:  Eur Radiol       Date:  2022-05-14       Impact factor: 7.034

5.  Reporting radiographers and their role in thoracic CT service improvement: managing the pulmonary nodule.

Authors:  Paul Holland; Hazel Spence; Alison Clubley; Chantel Brooks; David Baldwin; Kate Pointon
Journal:  BJR Open       Date:  2020-03-10
  5 in total

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