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Acta Radiol
February 2025
Department of Medical Imaging, University of Arizona College of Medicine, Tucson, AZ, USA.
Background: Axial computed tomography (CT) cross-sections offer an accessible model for assessing diverse pathologies associated with hyperostosis frontalis interna (HFI) based on the Hershkovitz classification.
Purpose: To delineate the CT characteristics of HFI, emphasizing a radiological description using the Hershkovitz classification. It investigated whether the Hershkovitz classification can be predicted using density, a variable unexplored in the literature.
Rev Med Chil
May 2024
Departamento de Nefrología, Clínica Dávila, Santiago, Chile.
J Pak Med Assoc
June 2024
Department of Nuclear Medicine, Shaukat Khanum Memorial Cancer Hospital and Research Center, Lahore.
Skeletal scintigraphy has a pivotal role in detecting a number of bone pathologies, but it has its own limitations because of 2D image acquisition. Hybrid imaging acts as a savior in these cases where it is difficult to distinguish between benign and malignant lesions just on the basis of planar images. We present one such case of known breast carcinoma with abnormal increased radiotracer uptake in the skull which was difficult to characterize as benign lesion such as hyperostosis frontalis or metastatic osseous lesion.
View Article and Find Full Text PDFNucl Med Commun
September 2024
Department of Nuclear Medicine, Farwaneya Hospital, Ministry of Health, .
Objective: The objective of this retrospective study was to identify the uptake patterns and suggest a quantitative method to detect hyperostosis frontalis interna (HFI) on fluorine-18 sodium fluoride ([ 18 F]NaF) PET/computed tomography (CT).
Methods: Between January 2019 and December 2021, patients who underwent [ 18 F]NaF PET/CT with a BMI of 30 and above, were included. Three nuclear medicine consultants reviewed the studies to determine the presence and identify the uptake patterns of HFI.
Radiology
May 2024
From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 600 N Wolfe St, Phipps B-100, Baltimore, MD 21287.
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