Patient-based Performance Assessment for Pediatric Abdominal CT: An Automated Monitoring System Based on Lesion Detectability and Radiation Dose.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
02 2021
Historique:
received: 30 10 2019
revised: 18 01 2020
accepted: 18 01 2020
pubmed: 18 2 2020
medline: 13 2 2021
entrez: 18 2 2020
Statut: ppublish

Résumé

To deploy an automated tool for evaluating pediatric body computed tomography (CT) performance utilizing metrics of radiation dose and image quality for the task of liver lesion detection. This IRB approved retrospective investigation used 507 IV-contrast-enhanced abdominopelvic CT scans of pediatric patients (<18 years) between June 2014 and November 2017 acquired on three scanner models from two manufacturers. The scans were evaluated in terms of radiation metrics (CTDI There was minimal SSDE variability by age. Median SSDE at 100 kV on one scanner model was 5.2 mGy (5.0-5.4 mGy interquartile range). However, when assessing image quality by applying d', the age groups separated such that the younger patients had higher d' values than older patients. Similar trends were seen in all scanners. An automated method to assess clinical image quality for pediatric CT provided a metric of image quality that varied as expected across ages (i.e., higher quality for younger patients). This tool affords the establishment of a quality reference level that, in addition to dose estimations currently available, would allow for enhanced assessment (e.g., facilitated audit) of CT imaging performance.

Identifiants

pubmed: 32063494
pii: S1076-6332(20)30046-5
doi: 10.1016/j.acra.2020.01.018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

217-224

Informations de copyright

Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Tyler Lacy (T)

Department of Radiology, Duke University Hospital, 2301 Erwin Road, Durham, NC 27710.

Aiping Ding (A)

Department of Radiology, Duke University Hospital, 2301 Erwin Road, Durham, NC 27710.

Vivian Minkemeyer (V)

Department of Radiology, Duke University Hospital, 2301 Erwin Road, Durham, NC 27710. Electronic address: vivian.minkemeyer@duke.edu.

Donald Frush (D)

Department of Radiology, Duke University Hospital, 2301 Erwin Road, Durham, NC 27710.

Ehsan Samei (E)

Department of Radiology, Duke University Hospital, 2301 Erwin Road, Durham, NC 27710.

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