Layer upon layer: Imaging techniques of bladder matrix stone: A case report.
Autor: | Paredes C; Diagnostic Imaging Center (CDI), Department of Radiogiagnosis, Hospital Clínic, Barcelona, Spain., Paño B; Diagnostic Imaging Center (CDI), Department of Radiogiagnosis, Hospital Clínic, Barcelona, Spain., Sebastià C; Diagnostic Imaging Center (CDI), Department of Radiogiagnosis, Hospital Clínic, Barcelona, Spain., Padulles B; Clinic Institute of Nephrology and Urology (ICNU), Department of Urology, Hospital Clínic, Barcelona, Spain., Rodríguez L; Center for Biomedical Diagnosis (CDB), Department of Pathology, Hospital Clínic, Barcelona, Spain., Borrell-Vega J; Department of Anesthesia, Resuscitation and Pain Management, Hospital Clínic, Barcelona, Spain., Nicolau C; Diagnostic Imaging Center (CDI), Department of Radiogiagnosis, Hospital Clínic, Barcelona, Spain. |
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Jazyk: | angličtina |
Zdroj: | Radiology case reports [Radiol Case Rep] 2024 Sep 17; Vol. 19 (12), pp. 5942-5947. Date of Electronic Publication: 2024 Sep 17 (Print Publication: 2024). |
DOI: | 10.1016/j.radcr.2024.08.095 |
Abstrakt: | Matrix lithiasis within the bladder is an extremely rare and diagnostically challenging condition, characterized by its atypical presentation and complex imaging appearance. We report the case of a 69-year-old woman with nonspecific urinary symptoms, including hematuria and abdominal pain. Initial ultrasonography revealed an echogenic lesion on the bladder wall, leading to further investigations using computed tomography (CT) and magnetic resonance imaging (MRI). CT imaging initially delineated the lesion's structure, revealing a complex, multilayered cystic mass. Subsequent MRI provided detailed insights into the internal architecture of the mass, further elucidating its layered structure. Although a parasitic etiology was initially suspected, matrix lithiasis was later confirmed. This case highlights the critical role of a comprehensive imaging strategy in diagnosing rare urological conditions and emphasizes the importance of multimodal imaging in differentiating potential diagnoses. (© 2024 The Authors. Published by Elsevier Inc. on behalf of University of Washington.) |
Databáze: | MEDLINE |
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