The comparative study on axial and coronal CT images using maximum intensity projection for evaluating urinary calculus - a study protocol [version 1; peer review: 1 not approved]

Urinary calculus is a medical condition characterized by the formation of hard deposits in the urinary tract. It is also known as kidney stones and can cause severe pain and discomfort. The most common type of urinary calculus is composed of calcium, but it can be made of other substances such as ur...

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Veröffentlicht in:F1000 research 2023, Vol.12, p.952
Hauptverfasser: Asrar ul haq Andrabi, Syed, Tivaskar, Suhas, Luharia, Anurag, Paul, Albert, Naik, Shreya
Format: Artikel
Sprache:eng
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Zusammenfassung:Urinary calculus is a medical condition characterized by the formation of hard deposits in the urinary tract. It is also known as kidney stones and can cause severe pain and discomfort. The most common type of urinary calculus is composed of calcium, but it can be made of other substances such as uric acid or struvite. Risk factors for developing urinary calculus include dehydration, family history, certain medical conditions, and certain medications. Urinary calculi are a common condition that can cause significant discomfort and morbidity in affected individuals. CT imaging is the gold standard technique that helps diagnose urinary calculi. During the examination, axial and coronal images are commonly used. However, the optimal imaging approach has not been clearly defined. The study will include patients with suspected urinary calculi who undergo CT imaging at a single institution. Both axial and coronal images will be reconstructed using M.I.P. The primary outcome measure will be the sensitivity and specificity of the two imaging approaches for detecting urinary calculi. Secondary outcome measures will include the time required for image reconstruction, the radiation exposure associated with each approach, and the subjective preference of the radiologists for one approach over the other. The study is expected to provide valuable information on the optimal imaging approach for evaluating urinary calculi. If one approach is superior, it could lead to a more efficient and effective diagnosis and treatment of this common condition. Additionally, the study will provide data on the radiation exposure associated with each approach, which could inform clinical decision-making and improve patient safety. In this study, the protocol aims to compare the diagnostic performance of axial and coronal C.T. images using maximum intensity projection (MIP) for the evaluation of urinary calculi.
ISSN:2046-1402
2046-1402
DOI:10.12688/f1000research.138981.1