Objectives: To accurately differentiate clumpy artifacts from tophi with foot and ankle DECT.
Methods And Materials: In session 1, 108 clumpy artifacts from 35 patients and 130 tophi images from 25 patients were analyzed. Reviewers classified green pixelation according to anatomic location, shape (linear, stippled, angular, oval), and height and width ratio. In session 2, green pixelation confined to the tendon was evaluated (shape, height and width ratio, occupied area in the tendon, accompanied peritendinous green pixelation).
Results: In session 1, while tophi were noted at various locations, almost all clumpy artifacts were located at the tendon (99%, < 0.0001). Most clumpy artifacts were linear, stippled, and wide, while most tophi were angular and oval ( < 0.05). In session 2, the shape of green pixelation from clumpy artifacts and tophi was significantly different ( < 0.0001) and most clumpy artifacts occupied less than 50% of the tendon ( = 0.02), and most tophi were accompanied by peritendinous green pixelation ( < 0.0001). Univariant logistic regression showed that tophi were significantly correlated with peritendinous deposits, angular and oval shape, and more than 50% of the tendon ( < 0.05).
Conclusion: Clumpy artifacts can be differentiated from tophi in DECT. Clumpy artifacts typically are located in the tendon with a linear or stippled shape, wide, and less than 50% of a tendon's cross-section. Tophi, on the other hand, typically are oval, larger than 50% of the tendon's cross-section, and associated with adjacent peritendinous green pixelation.
Advances In Knowledge: Clumpy artifacts can be differentiated from tophi in image findings by their location and shape.
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http://dx.doi.org/10.1259/bjr.20210990 | DOI Listing |
Rheumatology (Oxford)
November 2024
Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute, Jeonbuk National University, Jeonju, South Korea.
Objectives: To evaluate whether the application of deep learning (DL) could achieve high diagnostic accuracy in differentiating between green colour coding, indicative of tophi, and clumpy artifacts observed in dual-energy computed tomography (DECT) scans.
Methods: A comprehensive analysis of 18 704 regions of interest (ROIs) extracted from green foci in DECT scans obtained from 47 patients with gout and 27 gout-free controls was performed. The ROIs were categorized into three size groups: small, medium, and large.
Quant Imaging Med Surg
January 2022
Rheumatology Department, Dijon-Bourgogne University Hospital, Dijon, France.
Br J Radiol
January 2022
Department of Radiology, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Objectives: To accurately differentiate clumpy artifacts from tophi with foot and ankle DECT.
Methods And Materials: In session 1, 108 clumpy artifacts from 35 patients and 130 tophi images from 25 patients were analyzed. Reviewers classified green pixelation according to anatomic location, shape (linear, stippled, angular, oval), and height and width ratio.
AJR Am J Roentgenol
June 2020
Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, Jeonju, Republic of Korea.
The clumpy artifact has a high misdiagnosis rate, but the artifact has not been well studied. The aims of this study were to evaluate the frequency and location of clumpy artifacts, the rate of misdiagnosis of clumpy artifacts as gout, and the effects of raising the minimum attenuation value and using a selective photon shield in dual-energy CT (DECT). Forty patients without gout who underwent foot and ankle DECT were enrolled in this study.
View Article and Find Full Text PDFEur Radiol
March 2019
Division of Rheumatology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, 21 Namdong-daero, 774beon-gil, Namdong-gu, Incheon, 21565, Republic of Korea.
Objectives: In dual-source CT, dual-energy (DE) performance is affected by various X-ray tube voltage combinations with and without tin filter (Sn). The purpose of this study was to assess the utility of the 80/150 Sn kV voltage combination in terms of image artefact and radiation dose for DECT gout protocol, compared with the conventional 80/140 kV.
Methods: Seventy-four patients with suspected gout who underwent dual-source DECT examinations scanned at 80/140 kV (n = 37) and at 80/150 Sn kV (n = 37) were included.
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