Lung nodules are reliably detectable on ultra-low-dose CT utilising model-based iterative reconstruction with radiation equivalent to plain radiography. Issue 5 (May 2019)
- Record Type:
- Journal Article
- Title:
- Lung nodules are reliably detectable on ultra-low-dose CT utilising model-based iterative reconstruction with radiation equivalent to plain radiography. Issue 5 (May 2019)
- Main Title:
- Lung nodules are reliably detectable on ultra-low-dose CT utilising model-based iterative reconstruction with radiation equivalent to plain radiography
- Authors:
- Miller, A.R.
Jackson, D.
Hui, C.
Deshpande, S.
Kuo, E.
Hamilton, G.S.
Lau, K.K. - Abstract:
- Abstract : AIM: 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. MATERIALS AND METHODS: Ninety-nine individuals undergoing surveillance of solid pulmonary nodules undertook a low-dose (LD) and ULD CT during the same sitting. Image pairs were read blinded, in random order, and independently by two experienced thoracic radiologists. With LD-CT as the reference standard, the number, size, and location of nodules was compared, and inter-rater agreement was established. RESULTS: There was very good inter-rater agreement with regards nodules ≥4mm for both the LD- (k=0.931) and ULD-CT (k=0.869). One hundred and ninety-nine nodules were reported on the LD-CT by both radiologists and 196 reported on the ULD-CT, with no nodules reported only on the ULD-CT. This gives a sensitivity of 98.5% and specificity of 100% for ULD-CT with MBIR. The effective dose of radiation was significantly different between the two scans ( p< 0.0001), 1.67 mSv for the LD-CT and 0.13 mSv for the ULD-CT. CONCLUSION: ULD-CT utilising MBIR and delivering radiation equivalent to plain radiography, allows detection of lung nodules with high sensitivity. The attendant 10-fold reduction in radiation may allow for dramatic reductions in cumulative radiation exposure. Highlights: Lung nodules are reliably identified in studies utilising MBIR. Radiation exposure isAbstract : AIM: 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. MATERIALS AND METHODS: Ninety-nine individuals undergoing surveillance of solid pulmonary nodules undertook a low-dose (LD) and ULD CT during the same sitting. Image pairs were read blinded, in random order, and independently by two experienced thoracic radiologists. With LD-CT as the reference standard, the number, size, and location of nodules was compared, and inter-rater agreement was established. RESULTS: There was very good inter-rater agreement with regards nodules ≥4mm for both the LD- (k=0.931) and ULD-CT (k=0.869). One hundred and ninety-nine nodules were reported on the LD-CT by both radiologists and 196 reported on the ULD-CT, with no nodules reported only on the ULD-CT. This gives a sensitivity of 98.5% and specificity of 100% for ULD-CT with MBIR. The effective dose of radiation was significantly different between the two scans ( p< 0.0001), 1.67 mSv for the LD-CT and 0.13 mSv for the ULD-CT. CONCLUSION: ULD-CT utilising MBIR and delivering radiation equivalent to plain radiography, allows detection of lung nodules with high sensitivity. The attendant 10-fold reduction in radiation may allow for dramatic reductions in cumulative radiation exposure. 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. … (more)
- Is Part Of:
- Clinical radiology. Volume 74:Issue 5(2019)
- Journal:
- Clinical radiology
- Issue:
- Volume 74:Issue 5(2019)
- Issue Display:
- Volume 74, Issue 5 (2019)
- Year:
- 2019
- Volume:
- 74
- Issue:
- 5
- Issue Sort Value:
- 2019-0074-0005-0000
- Page Start:
- 409.e17
- Page End:
- 409.e22
- Publication Date:
- 2019-05
- Subjects:
- Computed tomography -- Radiation dosage -- Solitary Pulmonary Nodule -- Multiple Pulmonary Nodules
Medical radiology -- Periodicals
Radiotherapy -- Periodicals
Radiotherapy -- Periodicals
Radiology -- Periodicals
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Medical radiology
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616.0757 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00099260 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.crad.2019.02.001 ↗
- Languages:
- English
- ISSNs:
- 0009-9260
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 3286.350000
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