Literature DB >> 27433192

Diagnostic image quality in gynaecological ultrasound: Who should measure it, what should we measure and how?

Peter Cantin1, Karen Knapp2.   

Abstract

Assessment of diagnostic image quality in gynaecological ultrasound is an important aspect of imaging department quality assurance. This may be addressed through audit, but who should undertake the audit, what should be measured and how, remains contentious. The aim of this study was to identify whether peer audit is a suitable method of assessing the diagnostic quality of gynaecological ultrasound images. Nineteen gynaecological ultrasound studies were independently assessed by six sonographers utilising a pilot version of an audit tool. Outcome measures were levels of inter-rater agreement using different data collection methods (binary scores, Likert scale, continuous scale), effect of ultrasound study difficulty on study score and whether systematic differences were present between reviewers of different clinical grades and length of experience. Inter-rater agreement ranged from moderate to good depending on the data collection method. A continuous scale gave the highest level of inter-rater agreement with an intra-class correlation coefficient of 0.73. A strong correlation (r = 0.89) between study difficulty and study score was yielded. Length of clinical experience between reviewers had no effect on the audit scores, but individuals of a higher clinical grade gave significantly lower scores than those of a lower grade (p = 0.04). Peer audit is a promising tool in the assessment of ultrasound image quality. Continuous scales seem to be the best method of data collection implying a strong element of heuristically driven decision making by reviewing ultrasound practitioners.

Keywords:  Ultrasound; audit; gynaecology; heuristics; image quality

Year:  2013        PMID: 27433192      PMCID: PMC4760520          DOI: 10.1177/1742271X13511242

Source DB:  PubMed          Journal:  Ultrasound        ISSN: 1742-271X


  11 in total

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6.  First-trimester fetal nasal bone audit: evaluation of a novel method of image assessment.

Authors:  A McLennan; P J Schluter; V Pincham; J Hyett
Journal:  Ultrasound Obstet Gynecol       Date:  2009-12       Impact factor: 7.299

7.  Nuchal translucency audit: a novel image-scoring method.

Authors:  A Herman; R Maymon; E Dreazen; E Caspi; I Bukovsky; Z Weinraub
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8.  Point-of-care, peer-comparator colonoscopy practice audit: The Canadian Association of Gastroenterology Quality Program--Endoscopy.

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Journal:  Can J Gastroenterol       Date:  2011-01       Impact factor: 3.522

9.  The coming of age of artificial intelligence in medicine.

Authors:  Vimla L Patel; Edward H Shortliffe; Mario Stefanelli; Peter Szolovits; Michael R Berthold; Riccardo Bellazzi; Ameen Abu-Hanna
Journal:  Artif Intell Med       Date:  2008-09-13       Impact factor: 5.326

10.  Heterogeneity: we can't live with it, and we can't live without it.

Authors:  Frank Davidoff
Journal:  BMJ Qual Saf       Date:  2011-04       Impact factor: 7.035

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