Effect of radiation dose reduction and iterative reconstruction on computer-aided detection of pulmonary nodules: Intra-individual comparison. Issue 2 (February 2016)
- Record Type:
- Journal Article
- Title:
- Effect of radiation dose reduction and iterative reconstruction on computer-aided detection of pulmonary nodules: Intra-individual comparison. Issue 2 (February 2016)
- Main Title:
- Effect of radiation dose reduction and iterative reconstruction on computer-aided detection of pulmonary nodules: Intra-individual comparison
- Authors:
- Den Harder, Annemarie M.
Willemink, Martin J.
van Hamersvelt, Robbert W.
Vonken, Evert-jan P.A.
Milles, Julien
Schilham, Arnold M.R.
Lammers, Jan-Willem
de Jong, Pim A.
Leiner, Tim
Budde, Ricardo P.J. - Abstract:
- Abstract: Objective: To evaluate the effect of radiation dose reduction and iterative reconstruction (IR) on the performance of computer-aided detection (CAD) for pulmonary nodules. Methods: In this prospective study twenty-five patients were included who were scanned for pulmonary nodule follow-up. Image acquisition was performed at routine dose and three reduced dose levels in a single session by decreasing mAs-values with 45%, 60% and 75%. Tube voltage was fixed at 120 kVp for patients ≥80 kg and 100 kVp for patients <80 kg. Data were reconstructed with filtered back projection (FBP), iDose 4 (levels 1, 4, 6) and IMR (levels 1–3). All noncalcified solid pulmonary nodules ≥4 mm identified by two radiologists in consensus served as the reference standard. Subsequently, nodule volume was measured with CAD software and compared to the reference consensus. The numbers of true-positives, false-positives and missed pulmonary nodules were evaluated as well as the sensitivity. Results: Median effective radiation dose was 2.2 mSv at routine dose and 1.2, 0.9 and 0.6 mSv at respectively 45%, 60% and 75% reduced dose. A total of 28 pulmonary nodules were included. With FBP at routine dose, 89% (25/28) of the nodules were correctly identified by CAD. This was similar at reduced dose levels with FBP, iDose 4 and IMR. CAD resulted in a median number of false-positives findings of 11 per scan with FBP at routine dose (93% of the CAD marks) increasing to 15 per scan with iDose 4 (95% ofAbstract: Objective: To evaluate the effect of radiation dose reduction and iterative reconstruction (IR) on the performance of computer-aided detection (CAD) for pulmonary nodules. Methods: In this prospective study twenty-five patients were included who were scanned for pulmonary nodule follow-up. Image acquisition was performed at routine dose and three reduced dose levels in a single session by decreasing mAs-values with 45%, 60% and 75%. Tube voltage was fixed at 120 kVp for patients ≥80 kg and 100 kVp for patients <80 kg. Data were reconstructed with filtered back projection (FBP), iDose 4 (levels 1, 4, 6) and IMR (levels 1–3). All noncalcified solid pulmonary nodules ≥4 mm identified by two radiologists in consensus served as the reference standard. Subsequently, nodule volume was measured with CAD software and compared to the reference consensus. The numbers of true-positives, false-positives and missed pulmonary nodules were evaluated as well as the sensitivity. Results: Median effective radiation dose was 2.2 mSv at routine dose and 1.2, 0.9 and 0.6 mSv at respectively 45%, 60% and 75% reduced dose. A total of 28 pulmonary nodules were included. With FBP at routine dose, 89% (25/28) of the nodules were correctly identified by CAD. This was similar at reduced dose levels with FBP, iDose 4 and IMR. CAD resulted in a median number of false-positives findings of 11 per scan with FBP at routine dose (93% of the CAD marks) increasing to 15 per scan with iDose 4 (95% of the CAD marks) and 26 per scan (96% of the CAD marks) with IMR at the lowest dose level. Conclusion: CAD can identify pulmonary nodules at submillisievert dose levels with FBP, hybrid and model-based IR. However, the number of false-positive findings increased using hybrid and especially model-based IR at submillisievert dose while dose reduction did not affect the number of false-positives with FBP. … (more)
- Is Part Of:
- European journal of radiology. Volume 85:Issue 2(2016)
- Journal:
- European journal of radiology
- Issue:
- Volume 85:Issue 2(2016)
- Issue Display:
- Volume 85, Issue 2 (2016)
- Year:
- 2016
- Volume:
- 85
- Issue:
- 2
- Issue Sort Value:
- 2016-0085-0002-0000
- Page Start:
- 346
- Page End:
- 351
- Publication Date:
- 2016-02
- Subjects:
- Chest CT -- Pulmonary nodules -- Iterative reconstruction -- Computer-aided detection
Medical radiology -- Periodicals
Radiology -- Periodicals
Radiologie médicale -- Périodiques
Medical radiology
Periodicals
616.075705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0720048X ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.clinicalkey.com/dura/browse/journalIssue/0720048X ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/0720048X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ejrad.2015.12.003 ↗
- Languages:
- English
- ISSNs:
- 0720-048X
- 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 - 3829.738050
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