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Validation of a candidate instrument to assess image quality in digital mammography using ROC analysis

Boita, Joana (författare)
Radboud University Medical Center
van Engen, Ruben E. (författare)
Dutch Expert Centre for Screening (LRCB)
Mackenzie, Alistair (författare)
Royal Surrey NHS Foundation Trust
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Tingberg, Anders (författare)
Lund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Medical Radiation Physics, Malmö,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Skåne University Hospital
Bosmans, Hilde (författare)
University Hospitals Leuven
Bolejko, Anetta (författare)
Lund University,Lunds universitet,Vård i högteknologisk miljö,Forskargrupper vid Lunds universitet,Diagnostisk radiologi, Malmö,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Care in high technological environments,Lund University Research Groups,Radiology Diagnostics, Malmö,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Skåne University Hospital
Zackrisson, Sophia (författare)
Lund University,Lunds universitet,Diagnostisk radiologi, Malmö,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Radiology Diagnostics, Malmö,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Skåne University Hospital
Wallis, Matthew G (författare)
Cambridge University Hospitals NHS Foundation Trust
Ikeda, Debra M. (författare)
Stanford University
Van Ongeval, Chantal (författare)
University Hospitals Leuven
Pijnappel, Ruud M. (författare)
Dutch Expert Centre for Screening (LRCB),University Medical Center Utrecht
Broeders, Mireille (författare)
Radboud University Nijmegen,Dutch Expert Centre for Screening (LRCB)
Sechopoulos, Ioannis (författare)
Dutch Expert Centre for Screening (LRCB),Radboud University Medical Center
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 (creator_code:org_t)
Elsevier BV, 2021
2021
Engelska.
Ingår i: European Journal of Radiology. - : Elsevier BV. - 1872-7727 .- 0720-048X. ; 139
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • PurposeTo validate a candidate instrument, to be used by different professionals to assess image quality in digital mammography (DM), against detection performance results.MethodsA receiver operating characteristics (ROC) study was conducted to assess the detection performance in DM images with four different image quality levels due to different quality issues. Fourteen expert breast radiologists from five countries assessed a set of 80 DM cases, containing 60 lesions (40 cancers, 20 benign findings) and 20 normal cases. A visual grading analysis (VGA) study using a previously-described candidate instrument was conducted to evaluate a subset of 25 of the images used in the ROC study. Eight radiologists that had participated in the ROC study, and seven expert breast-imaging physicists, evaluated this subset. The VGA score (VGAS) and the ROC and visual grading characteristics (VGC) areas under the curve (AUCROC and AUCVGC) were compared.ResultsNo large differences in image quality among the four levels were detected by either ROC or VGA studies. However, the ranking of the four levels was consistent: level 1 (partial AUCROC: 0.070, VGAS: 6.77) performed better than levels 2 (0.066, 6.15), 3 (0.061, 5.82), and 4 (0.062, 5.37). Similarity between radiologists’ and physicists’ assessments was found (average VGAS difference of 10 %).ConclusionsThe results from the candidate instrument were found to correlate with those from ROC analysis, when used by either observer group. Therefore, it may be used by different professionals, such as radiologists, radiographers, and physicists, to assess clinically-relevant image quality variations in DM.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Image Processing (hsv//eng)

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