Litcius/Paper detail

Evaluating the effectiveness of abbreviated breast MRI (abMRI) interpretation training for mammogram readers: a multi-centre study assessing diagnostic performance, using an enriched dataset

Lyn Jones, Andrea Marshall, Premkumar Elangovan, Rebecca Geach, Sadie McKeown-Keegan, Sarah Vinnicombe, Sam Harding, Sian Taylor‐Phillips, Mark Halling‐Brown, Christopher Foy, Elizabeth O’Flynn, Hesam Ghiasvand, Claire Hulme, Janet Dunn, the FAST MRI Study Group, Christiane Kühl, Jennifer Wookey, Janice Rose, Victoria M. Taylor, John Gifford, Rosie Gray, Thomas William-Jones, Karen Litton, Simon Lloyd, J Steel, E. Kutt, Alexandra Valencia, Alice Pocklington, Anjum Mahatma, Helen Massey, Gillian M. Clark, Clare McLachlan, Gemini Beckett, Clare Alison, M Bárta, Claudia Betancourt, Julie Bramwell, Nichola Bright, Helen M. Burt, Louise Cann, Jane Ceney, Eleanor Cornford, Diana Dalgliesh, Sarah Doyle, Sarah Fearn, Dagmar Godden, Zoe Goldthorpe, Lucinda Hobson, Paul Hynam, Emma Jackson, Margaret Jenkin, Beckie Kingsnorth, Katherine Klimczak, Alice Moody, Sarah Perrin, Alison Peters, Elizabeth Preston, Anne Ratsey, Richard Sidebottom, Lesley Stephenson, Michelle Taylor, Erika Tóth, Frances Vincent, Sharon Watkin, Sue Widdison, Jennifer M. Williams, Karen Wilmot, Sravya Singamaneni, Zsolt Friedrich, Joanne Robson, Elizabeth Cullimore, Anna Mankelow

2022Breast Cancer Research16 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Abbreviated breast MRI (abMRI) is being introduced in breast screening trials and clinical practice, particularly for women with dense breasts. Upscaling abMRI provision requires the workforce of mammogram readers to learn to effectively interpret abMRI. The purpose of this study was to examine the diagnostic accuracy of mammogram readers to interpret abMRI after a single day of standardised small-group training and to compare diagnostic performance of mammogram readers experienced in full-protocol breast MRI (fpMRI) interpretation (Group 1) with that of those without fpMRI interpretation experience (Group 2). METHODS: Mammogram readers were recruited from six NHS Breast Screening Programme sites. Small-group hands-on workstation training was provided, with subsequent prospective, independent, blinded interpretation of an enriched dataset with known outcome. A simplified form of abMRI (first post-contrast subtracted images (FAST MRI), displayed as maximum-intensity projection (MIP) and subtracted slice stack) was used. Per-breast and per-lesion diagnostic accuracy analysis was undertaken, with comparison across groups, and double-reading simulation of a consecutive screening subset. RESULTS: 37 readers (Group 1: 17, Group 2: 20) completed the reading task of 125 scans (250 breasts) (total = 9250 reads). Overall sensitivity was 86% (95% confidence interval (CI) 84-87%; 1776/2072) and specificity 86% (95%CI 85-86%; 6140/7178). Group 1 showed significantly higher sensitivity (843/952; 89%; 95%CI 86-91%) and higher specificity (2957/3298; 90%; 95%CI 89-91%) than Group 2 (sensitivity = 83%; 95%CI 81-85% (933/1120) p < 0.0001; specificity = 82%; 95%CI 81-83% (3183/3880) p < 0.0001). Inter-reader agreement was higher for Group 1 (kappa = 0.73; 95%CI 0.68-0.79) than for Group 2 (kappa = 0.51; 95%CI 0.45-0.56). Specificity improved for Group 2, from the first 55 cases (81%) to the remaining 70 (83%) (p = 0.02) but not for Group 1 (90-89% p = 0.44), whereas sensitivity remained consistent for both Group 1 (88-89%) and Group 2 (83-84%). CONCLUSIONS: Single-day abMRI interpretation training for mammogram readers achieved an overall diagnostic performance within benchmarks published for fpMRI but was insufficient for diagnostic accuracy of mammogram readers new to breast MRI to match that of experienced fpMRI readers. Novice MRI reader performance improved during the reading task, suggesting that additional training could further narrow this performance gap.

Topics & Concepts

MedicineBreast MRIMedical physicsDiagnostic accuracyBreast cancerBreast screeningProtocol (science)MammographyInterpretation (philosophy)Surgical oncologyBreast imagingRadiologyAlternative medicineOncologyComputer sciencePathologyInternal medicineCancerProgramming languageMRI in cancer diagnosisGlobal Cancer Incidence and ScreeningDigital Radiography and Breast Imaging