Radiation dose reduction by using low dose CT protocol of thorax

Objective: To investigate the feasibility of low dose chest CT acquisition protocol for the imaging of either the confirmed case of COVID-19 disease or the suspected case of this disease in adults. Method: In this retrospective case-control study, the study group consisted of 141 patients who were imaged with low dose chest CT acquisition protocol. The control group consisted of 92 patients who were imaged with the standard protocol. Anteroposterior and lateral diameters of chest, effective diameter and scan length, qualitative and quantitative noise levels, volumetric CT dose index (CTDIvol), dose length product (DLP), and size-specific dose estimations were compared between groups. Results: Radiation dose reduction by nearly 90% (CTDIvol and DLP values 1.06 mGy and 40.3 mGy.cm vs. 8.07 mGy and 330 mGy.cm, p < 0.001, respectively) was achieved with the use of low dose acquisition chest CT protocol. Despite higher image noise with low dose acquisition protocol, no significant effect on diagnostic confidence was encountered. Cardiac and diaphragm movement-related artifacts were similar in both groups (p = 0.275). Interobserver agreement was very good in terms of diagnostic confidence assessment. Conclusion: For the imaging of either the confirmed case of COVID-19 related pneumonia or the suspected case of this disease in adults, low dose chest CT acquisition protocol provides remarkable radiation dose reduction without adversely affecting image quality and diagnostic confidence.

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Radiation Dose Reduction in Scoliosis Patients: Low-Dose Full-Spine Radiography with Digital Flat Panel Detector and Image Stitching System

RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren ◽

10.1055/s-0029-1246010 ◽

2011 ◽

Vol 183 (07) ◽

pp. 645-649 ◽

Cited By ~ 11

Author(s):

T. Grieser ◽

A. Baldauf ◽

K. Ludwig

Keyword(s):

Radiation Dose ◽

Dose Reduction ◽

Low Dose ◽

Radiation Dose Reduction ◽

Image Stitching ◽

Flat Panel ◽

Spine Radiography ◽

Flat Panel Detector

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The effect of radiation dose reduction on computer-aided detection (CAD) performance in a low-dose lung cancer screening population

Medical Physics ◽

10.1002/mp.12128 ◽

2017 ◽

Vol 44 (4) ◽

pp. 1337-1346 ◽

Cited By ~ 8

Author(s):

Stefano Young ◽

Pechin Lo ◽

Grace Kim ◽

Matthew Brown ◽

John Hoffman ◽

...

Keyword(s):

Lung Cancer ◽

Cancer Screening ◽

Radiation Dose ◽

Dose Reduction ◽

Low Dose ◽

Lung Cancer Screening ◽

Radiation Dose Reduction ◽

Computer Aided Detection ◽

Computer Aided ◽

Screening Population

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Potential for Radiation Dose Reduction in Dual-Source Computed Tomography of the Lung in the Pediatric and Adolescent Population Compared to Digital Radiography

Diagnostics ◽

10.3390/diagnostics11020270 ◽

2021 ◽

Vol 11 (2) ◽

pp. 270

Author(s):

Matthias Wetzl ◽

Matthias Stefan May ◽

Daniel Weinmann ◽

Matthias Hammon ◽

Markus Kopp ◽

...

Keyword(s):

Computed Tomography ◽

Radiation Dose ◽

Dose Reduction ◽

Low Dose ◽

Radiation Dose Reduction ◽

Diagnostic Confidence ◽

Anatomical Structures ◽

Lung Lesions ◽

Dual Source ◽

Dual Source Computed Tomography

Low-dose dual-source computed tomography (DSCT) protocols for the evaluation of lung diseases in children and adolescents are of importance since this age group is particularly prone to radiation damage. The aim of this study was to evaluate image quality of low-dose DSCT of the lung and to assess the potential of radiation dose reduction compared to digital radiographs (DR). Three groups, each consisting of 19 patients, were examined with different DSCT protocols using tin prefiltration (Sn96/64/32 ref. mAs at 100 kV). Different strengths of iterative reconstruction were applied (ADMIRE 2/3/4). DSCT groups were compared to 19 matched patients examined with posterior–anterior DR. Diagnostic confidence, detectability of anatomical structures and small lung lesions were evaluated on a 4-point Likert scale (LS 1 = unacceptable, 4 = fully acceptable; a value ≥ 3 was considered acceptable). Effective dose (ED) was 31-/21-/9-fold higher in Sn96/Sn64/Sn32 compared to DR. Diagnostic confidence was sufficient in Sn96/Sn64 (LS 3.4/3.2), reduced in Sn32 (LS 2.7) and the worst in DR (LS 2.4). In DSCT, detectability of small anatomical structures was always superior to DR (p < 0.05). Mean lesion size ranged from 5.1–7 mm; detectability was acceptable in all DSCT groups (LS 3.0–3.4) and superior to DR (LS 1.9; p < 0.05). Substantial dose lowering in DSCT of the pediatric lung enables acceptable detectability of small lung lesions with a radiation dose being about 10-fold higher compared to DR.

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Evaluation of an iterative model-based CT reconstruction algorithm by intra-patient comparison of standard and ultra-low-dose examinations

Acta Radiologica ◽

10.1177/0284185117752551 ◽

2018 ◽

Vol 59 (10) ◽

pp. 1225-1231 ◽

Cited By ~ 8

Author(s):

Peter B Noël ◽

Stephan Engels ◽

Thomas Köhler ◽

Daniela Muenzel ◽

Daniela Franz ◽

...

Keyword(s):

Radiation Dose ◽

Dose Reduction ◽

Low Dose ◽

Standard Dose ◽

Health Concern ◽

Generation Model ◽

Reconstruction Algorithms ◽

Low Dose Ct ◽

Model Based

Background The explosive growth of computer tomography (CT) has led to a growing public health concern about patient and population radiation dose. A recently introduced technique for dose reduction, which can be combined with tube-current modulation, over-beam reduction, and organ-specific dose reduction, is iterative reconstruction (IR). Purpose To evaluate the quality, at different radiation dose levels, of three reconstruction algorithms for diagnostics of patients with proven liver metastases under tumor follow-up. Material and Methods A total of 40 thorax–abdomen–pelvis CT examinations acquired from 20 patients in a tumor follow-up were included. All patients were imaged using the standard-dose and a specific low-dose CT protocol. Reconstructed slices were generated by using three different reconstruction algorithms: a classical filtered back projection (FBP); a first-generation iterative noise-reduction algorithm (iDose4); and a next generation model-based IR algorithm (IMR). Results The overall detection of liver lesions tended to be higher with the IMR algorithm than with FBP or iDose4. The IMR dataset at standard dose yielded the highest overall detectability, while the low-dose FBP dataset showed the lowest detectability. For the low-dose protocols, a significantly improved detectability of the liver lesion can be reported compared to FBP or iDose4 ( P = 0.01). The radiation dose decreased by an approximate factor of 5 between the standard-dose and the low-dose protocol. Conclusion The latest generation of IR algorithms significantly improved the diagnostic image quality and provided virtually noise-free images for ultra-low-dose CT imaging.

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