Objective: To calculate the effective dose from diagnostic computed tomography (CT) scans in Saskatchewan, Canada, and compare with other reported dose levels.
Methods: Data from CT scans were collected from 12 scanners in 7 cities across Saskatchewan. The patient age, scan type, and selected technique parameters including the dose length product and the volume computed tomography dose index were collected for a 2-week period. This information then was used to calculate effective doses patients are exposed to during CT examinations. Data from 2,061 clinically indicated CT examinations were collected, and of them 1,690 were eligible for analysis. Every examination during a 2-week period was recorded without selection.
Results: The average provincial estimated patient dose was as follows: head, 2.7 mSv (638 scans; standard deviation [SD], +/-1.6); chest, 11.3 mSv (376 scans; SD, +/-8.9); abdomen-pelvis, 15.5 mSv (578 scans; SD, +/-10.0); abdomen, 11.7 mSv (80 scans; SD, +/-11.48), and pelvis, 8.6 mSv (18 scans; SD, +/-6.04). Significant variation in dose between the CT scanners was observed (P = .049 for head, P = .001 for chest, and P = .034 for abdomen-pelvis).
Conclusions: Overall, the estimated dose from diagnostic CT examinations was similar to other previously published Canadian data from British Columbia. This dose varied slightly from some other published standards, including being higher than those found in a review conducted in the United Kingdom in 2003.
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http://dx.doi.org/10.1016/j.carj.2009.02.035 | DOI Listing |
Support Care Cancer
January 2025
Oral Diagnosis Department, Faculdade de Odontolodia de Piracicaba, Universidade de Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.
Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.
View Article and Find Full Text PDFPediatr Radiol
January 2025
Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.
Background: Radiographic skeletal survey plays an important role in the diagnosis of infant abuse. Some practitioners have expressed concerns about the radiation exposure from this examination.
Objective: To utilize state-of-the-art hybrid computational phantoms to more accurately estimate radiation doses of skeletal surveys performed for suspected infant abuse.
Clin Rheumatol
January 2025
Department of Pediatric Rheumatology, Zeynep Kamil Women and Children's Diseases Training and Research Hospital, Istanbul, Turkey.
Introduction/objectives: The study aimed to determine whether in children with newly diagnosed juvenile idiopathic arthritis (JIA) hepatitis B surface antibody (anti-HBs) differs from healthy children and to see whether the revaccination is safe and effective under JIA treatment.
Methods: Patients who were followed up with a diagnosis of JIA between January 2020 and February 2024 were included. The control group consisted of healthy children matched for age and gender.
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 PDFTurk J Pediatr
December 2024
Department of Pediatric Neurology, Ankara Bilkent City Hospital, Ankara Yildirim Beyazit University Faculty of Medicine, Ankara, Türkiye.
Background: Metoclopramide, a dopamine antagonist employed for its antiemetic effects, can precipitate neuropsychiatric adverse effects, including extrapyramidal symptoms and, in a few instances, acute psychosis. Although there have been reports of metoclopramide-induced psychosis in elderly individuals, there is no documentation of such incidents in children as far as we are aware.
Case Presentation: This case report describes an 11-year-old girl with a history of mild intellectual disability and attention deficit hyperactivity disorder, managed with 10 mg of methylphenidate daily.
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