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[Diagnostic algorithm and key differential diagnoses of hematuria].

MMW Fortschr Med

January 2025

Urologische Klinik und Poliklinik, Klinikum Großhadern der LMU München, Marchioninistraße 15, 81377, München, Deutschland.

The different causes of hematuria depend largely on age, gender and clinical context. Macrohematuria should always be investigated using cystoscopy and advanced imaging (CT/MRI with urographic phase). The most common differential diagnoses of macrohematuria include urinary tract infection, stones and urothelial carcinoma.

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Is the excretory phase necessary to identify upper tract urothelial neoplasms at CT urography? A 10-year population-based study.

Abdom Radiol (NY)

July 2024

Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre, Dalhousie University, Victoria General Building, 3rd floor, 1276 South Park Street, Halifax, NS, B3H 2Y9, Canada.

Purpose: To assess the proportion of upper tract urothelial carcinomas (UTUC) that are evident without the excretory phase at CT urography (CTU), and the proportion of potentially avoidable radiation.

Methods: UTUCs diagnosed between January 2008-December 2017 were retrospectively identified from a population-based cancer registry. For each patient, US, non-urographic CT, and MRI exams were assessed for a primary mass and secondary imaging findings (hydronephrosis, urinary tract thickening, luminal distention, fat stranding, and lymphadenopathy/metastatic disease).

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Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging.

Invest Radiol

September 2024

From the Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany (G.B., R.H., K.B., L.K., S.K., F.N., J.H.); Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany (G.B., R.H., C.S.S., K.B., L.K., S.K., O.P., F.N., J.H.); Institute for Transfusion Medicine, University Hospital Essen, Essen, Germany (C.S.S.); Department of Diagnostic and Interventional Radiology, Kliniken Essen-Mitte, Essen, Germany (P.H.); and Data Integration Center, Central IT Department, University Hospital Essen, Essen, Germany (O.P., F.N.).

Objectives: Accurately acquiring and assigning different contrast-enhanced phases in computed tomography (CT) is relevant for clinicians and for artificial intelligence orchestration to select the most appropriate series for analysis. However, this information is commonly extracted from the CT metadata, which is often wrong. This study aimed at developing an automatic pipeline for classifying intravenous (IV) contrast phases and additionally for identifying contrast media in the gastrointestinal tract (GIT).

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Photon-counting CT urogram: optimal acquisition potential (kV) determination for virtual noncontrast creation.

Abdom Radiol (NY)

March 2024

Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016, USA.

Purpose: To quantitatively and qualitatively compare the degree of iodine removal in the collecting system from PCCT urographic phase-derived virtual noncontrast (VNC) images obtained at 140 kV versus 120 kV.

Methods: A retrospective PACS search identified adult patients (>18 years) who underwent a PCCT urogram for hematuria from 4/2022 to 4/2023 with available urographic phase-derived VNC images in PACS. Tube voltage (120 kV, 140 kV), body mass index, CTDIvol, dose length product (DLP), and size-specific dose estimate (SSDE) were recorded.

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