Published May 2019
| Version v1
Journal article
Lung nodules are reliably detectable on ultra-low-dose CT utilising model-based iterative reconstruction with radiation equivalent to plain radiography
Creators
- 1. General Medicine, Monash Health, Clayton, Victoria (Australia)
- 2. Monash University, Clayton, Victoria (Australia)
- 3. Monash Lung and Sleep, Monash Health, Clayton, Victoria (Australia)
- 4. Monash Imaging, Monash Health, Clayton, Victoria (Australia)
Description
Highlights: • Lung nodules are reliably identified in studies utilising MBIR. • Radiation exposure is reduced 10-fold without loss of diagnostic accuracy. • Sensitivity is unaffected by sex or BMI. -- Abstract: To determine if ultra-low-dose (ULD) computed tomography (CT) utilising model-based iterative reconstruction (MBIR) with radiation equivalent to plain radiography allows the detection of lung nodules.
Additional details
Identifiers
- DOI
- 10.1016/j.crad.2019.02.001;
- PII
- S000992601930090X;
Publishing Information
- Journal Title
- Clinical Radiology
- Journal Volume
- 74
- Journal Issue
- 5
- Journal Page Range
- p. 409.e17-409.e22
- ISSN
- 0009-9260
- CODEN
- CLRAAG
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55054925
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ACCURACY; COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; ITERATIVE METHODS; LUNGS; SENSITIVITY
- Descriptors DEC
- BODY; CALCULATION METHODS; DIAGNOSTIC TECHNIQUES; ORGANS; RESPIRATORY SYSTEM; TOMOGRAPHY
Optional Information
- Copyright
- Copyright (c) 2019 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.