Purpose: The AUA (American Urological Association) guidelines for asymptomatic microscopic hematuria recommend that patients undergo computerized tomography urography, which is associated with high doses of ionizing radiation. To our knowledge the associated risk of secondary malignancy and mortality remains unknown. We modeled the risk of malignancy and associated mortality due to ionizing radiation from computerized tomography urography relative to the additional diagnostic benefit offered over renal ultrasound.
Materials And Methods: We performed a PubMed® based literature search to identify model inputs. We obtained estimates of age and gender specific radiation induced secondary malignancy and mortality rates from the BEIR (Biologic Effects of Ionizing Radiation) VII Phase 2 report with dose extrapolation using the linear no threshold model.
Results: Patients with asymptomatic microscopic hematuria had a 0.053% and 0.48% prevalence of upper tract urothelial carcinoma and renal cell carcinoma, respectively. Ultrasound had 77% sensitivity for upper tract urothelial carcinoma and 82% sensitivity for renal cell carcinoma. The effective radiation dose of computerized tomography urography was 31.7 mSv. Based on these inputs a population of 100,000 patients with asymptomatic microscopic hematuria would include 53.1 and 478 patients with upper tract urothelial carcinoma and renal cell carcinoma, respectively. On ultrasound alone 98.2 cases of upper urinary tract malignancy would be missed. An additional 149 cases of secondary malignancy would be caused by computerized tomography urography associated radiation with 101 fatalities. A total of 1,018.3 computerized tomography urography studies would need to be performed to detect an additional case of upper tract malignancy.
Conclusions: Based on current risk models computerized tomography urography for asymptomatic microscopic hematuria may be associated with a small but significant risk of secondary malignancy relative to the additional diagnostic benefit offered.
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http://dx.doi.org/10.1016/j.juro.2018.05.118 | DOI Listing |
Radiology
January 2025
From the Department of Radiology, Duke University Hospital, 2301 Erwin Rd, Box 3808, Durham, NC 27701 (B.W.T., K.R.K., B.C.A., S.P.T., D.E.K., B.H., M.R.B., D.M., E.S., E.A.); Department of Biostatistics and Bioinformatics (N.F., S.M., A.E.) and Department of Medical Physics (W.P.S., E.S., E.A.), Duke University, Durham, NC.
Background Detection of hepatic metastases at CT is a daily task in radiology departments that influences medical and surgical treatment strategies for oncology patients. Purpose To compare simulated photon-counting CT (PCCT) with energy-integrating detector (EID) CT for the detection of small liver lesions. Materials and Methods In this reader study (July to December 2023), a virtual imaging framework was used with 50 anthropomorphic phantoms and 183 generated liver lesions (one to six lesions per phantom, 0.
View Article and Find Full Text PDFRadiology
January 2025
From the Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China (Q.S., P.L., J.Z.); and Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 (Q.S., P.L., R.Y., D.F.Y., C.I.H.).
Background Angiolymphatic invasion (ALI) is an important prognostic indicator in non-small cell lung cancer (NSCLC). However, few studies focus on radiologic features for predicting ALI in patients with early-stage NSCLCs 30 mm or smaller. Purpose To identify radiologic features for predicting ALI in NSCLCs 30 mm or smaller in maximum diameter.
View Article and Find Full Text PDFRadiology
January 2025
From the Department of Cardiology (T.P., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), MIRACL.ai (Multimodality Imaging for Research and Analysis Core Laboratory: and Artificial Intelligence) (T.P., S.T., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), Inserm MASCOT-UMRS 942 (T.P., K.H., T.A.S., T.G., A.L., E.G., A.U., J.G.D., P.H.), and Department of Radiology (T.P., V.B., L.H., T.G.), Université Paris Cité, University Hospital of Lariboisière, Assistance Publique-Hôpitaux de Paris, Paris, France; Cardiovascular Magnetic Resonance Laboratory (T.P., T.H., T.U., F.S., S.C., P.G., J.G.) and Cardiac Computed Tomography Laboratory (T.P., T.H., T.L., B.C., T.U., F.S., S.C., H.B., A.N., M.A., P.G., J.G.), Hôpital Privé Jacques Cartier, Institut Cardiovasculaire Paris Sud, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300 Massy, France; Scientific Partnerships, Siemens Healthcare France, Saint-Denis, France (S.T.); Department of Cardiology, Hôpital Universitaire de Bruxelles-Hôpital Erasme, Brussels, Belgium (A.U.); and Department of Cardiovascular Imaging, American Hospital of Paris, Neuilly, France (O.V., M.S.).
Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of variables. Purpose To investigate the performance of an ML model that uses both stress cardiac MRI and coronary CT angiography (CCTA) data to predict major adverse cardiovascular events (MACE) in patients with newly diagnosed CAD.
View Article and Find Full Text PDFRadiol Case Rep
March 2025
Faculty of Medicine, Arab American University of Palestine, Jenin, Palestine.
Spontaneous cervical swelling syndrome is an uncommon clinical syndrome characterized by the sudden onset of swelling in the cervical region with no identifiable cause. A 47-year-old woman with a history of Iron Deficiency Anemia presented to the emergency department (ED) complaining of an acute left neck and upper chest swelling and pressure sensation in her neck. The swelling started suddenly and was growing rapidly over several hours.
View Article and Find Full Text PDFZhonghua Xin Xue Guan Bing Za Zhi
January 2025
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