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Pulmonary nodule volumetry at different low computed tomography radiation dose levels with hybrid and model-based iterative reconstruction : A within patient analysis
- Source :
- Journal of Computer Assisted Tomography, 40(4), 578-583. Lippincott Williams & Wilkins, Journal of Computer Assisted Tomography, 40(4), 578. Lippincott Williams and Wilkins
- Publication Year :
- 2016
-
Abstract
- Objective The aim of the study was to determine the effects of dose reduction and iterative reconstruction (IR) on pulmonary nodule volumetry. Methods In this prospective study, 25 patients scheduled for follow-up of pulmonary nodules were included. Computed tomography acquisitions were acquired at 4 dose levels with a median of 2.1, 1.2, 0.8, and 0.6 mSv. Data were reconstructed with filtered back projection (FBP), hybrid IR, and model-based IR. Volumetry was performed using semiautomatic software. Results At the highest dose level, more than 91% (34/37) of the nodules could be segmented, and at the lowest dose level, this was more than 83%. Thirty-three nodules were included for further analysis. Filtered back projection and hybrid IR did not lead to significant differences, whereas model-based IR resulted in lower volume measurements with a maximum difference of -11% compared with FBP at routine dose. Conclusions Pulmonary nodule volumetry can be accurately performed at a submillisievert dose with both FBP and hybrid IR.
- Subjects :
- Male
medicine.medical_specialty
iterative reconstruction
Lung Neoplasms
Computed tomography
chest CT
Iterative reconstruction
Radiation Dosage
Dose level
Models, Biological
Sensitivity and Specificity
030218 nuclear medicine & medical imaging
03 medical and health sciences
Imaging, Three-Dimensional
Radiation Protection
0302 clinical medicine
Pulmonary nodule
Maximum difference
medicine
Journal Article
Humans
Radiology, Nuclear Medicine and imaging
Aged
Models, Statistical
medicine.diagnostic_test
business.industry
Radiation dose
Reproducibility of Results
pulmonary nodule
Middle Aged
Radiation Exposure
Tumor Burden
Radiographic Image Enhancement
Volume measurements
low dose
Radiology Nuclear Medicine and imaging
030220 oncology & carcinogenesis
Radiographic Image Interpretation, Computer-Assisted
Female
Dose reduction
Radiology
Tomography, X-Ray Computed
business
Nuclear medicine
Subjects
Details
- Language :
- English
- ISSN :
- 03638715
- Database :
- OpenAIRE
- Journal :
- Journal of Computer Assisted Tomography, 40(4), 578-583. Lippincott Williams & Wilkins, Journal of Computer Assisted Tomography, 40(4), 578. Lippincott Williams and Wilkins
- Accession number :
- edsair.doi.dedup.....95693159f46486c63e47fc7db21ddf76