Ranking the Relative Importance of Image Quality Features in CT by Consensus Survey.

CT Image quality Protocol optimization Radiology subspecialty consensus Survey

Journal

Journal of the American College of Radiology : JACR
ISSN: 1558-349X
Titre abrégé: J Am Coll Radiol
Pays: United States
ID NLM: 101190326

Informations de publication

Date de publication:
18 Oct 2024
Historique:
received: 07 08 2024
revised: 03 10 2024
accepted: 11 10 2024
medline: 21 10 2024
pubmed: 21 10 2024
entrez: 20 10 2024
Statut: aheadofprint

Résumé

This study sought to determine consensus opinions from subspecialty radiologists and imaging physicists on the relative importance of image quality features in CT. A prospective survey of subspecialty radiologists and medical physicists was conducted to collect consensus opinions on the relative importance of ten image quality features: axial sharpness, blooming, contrast, longitudinal sharpness, low contrast axial sharpness, metal artifact, motion, noise magnitude, noise texture, and streaking. The survey was first sent to subspecialty radiologists in volunteer leadership roles in the American College of Radiology and Radiological Society of North America, thereafter relying on snowball sampling. Surveyed subspecialties were abdominal, cardiac, emergency, musculoskeletal, neuro, pediatric, and thoracic radiology, and medical physics. Individual respondents' ratings were normalized for calculation of mean normalized ratings and priority rankings for each feature within subspecialties. Also calculated were intraclass correlation coefficients across image quality features within subspecialties, and analysis of variance across subspecialties within each feature. Most subspecialties had moderate to excellent intraclass agreement. For every radiology subspecialty except musculoskeletal, motion was the most important image quality feature. There was agreement across subspecialties that axial sharpness and contrast are only moderately important. There was disagreement across subspecialties on the relative importance of noise magnitude. Blooming was highly important to cardiac radiologists, and noise texture was highly important to musculoskeletal radiologists. Image quality preferences differ based on clinical tasks and challenges in each anatomical radiology subspecialty. CT image analysis and development of quantitative measures of quality and protocol optimization-and related policy initiatives-should be specific to radiology subspecialty.

Identifiants

pubmed: 39427722
pii: S1546-1440(24)00841-X
doi: 10.1016/j.jacr.2024.10.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Dustin A Gress (DA)

American College of Radiology, 1892 Preston White Dr, Reston, VA 20191 USA; George Mason University, Department of Health Administration and Policy, College of Public Health, 4400 University Dr, Fairfax, VA 22030 USA. Electronic address: dgress@acr.org.

Ehsan Samei (E)

Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, 2424 Erwin Rd (Hock Plaza), Suite 302, Durham, NC 27705 USA. Electronic address: ehsan.samei@duke.edu.

Donald P Frush (DP)

Duke University Medical Center, Department of Radiology, 1904 Childrens Hlth Ctr, Durham, NC 27710 USA. Electronic address: donald.frush@duke.edu.

Casey E Pelzl (CE)

Harvey L. Neiman Health Policy Institute, 1892 Preston White Dr, Reston, VA 20191 USA. Electronic address: cpelzl@neimanhpi.org.

Joel G Fletcher (JG)

Mayo Clinic, Department of Radiology, 200 First St SW, Rochester, MN 55905 USA. Electronic address: Fletcher.Joel@mayo.edu.

Mahadevappa Mahesh (M)

Johns Hopkins University School of Medicine, JHOC, Suite 4264, 601 N Caroline St, Baltimore, MD 21287 USA. Electronic address: mmahesh@jhmi.edu.

David B Larson (DB)

Stanford University School of Medicin eDepartment of Radiology, 453 Quarry Rd, Mail Code 5659. Electronic address: david.larson@stanford.edu.

Mythreyi Bhargavan-Chatfield (M)

American College of Radiology, 1892 Preston White Dr, Reston, VA 20191 USA. Electronic address: mchatfield@acr.org.

Classifications MeSH