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| http://dx.doi.org/10.1136/bcr.02.2009.1591 | DOI Listing |
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[F]FDG PET/CT volumetric biomarkers for non-invasive prediction of HER2 expression in breast cancer patients.
Asia Ocean J Nucl Med Biol
January 2025
Nuclear Medicine Unit, National Cancer Institute (NCI), Cairo University, Cairo, Egypt.
Objectives: to investigate the capability of F-fluorodeoxyglucose positron emission tomography/computed tomography ([F]-FDG PET/CT) derived volumetric parameters to predict human epidermal growth factor receptor 2 (HER2) status in breast cancer patients.
Methods: retrospective study enrolled 47 female patients with breast cancer. All patients had pretreatment [F]-FDG PET/CT.
Imaging of unicentric hyaline-vascular variant of Castleman disease: Emphasis on perilesional fat stranding and fatty proliferation.
Glob Health Med
December 2024
Department of Radiology, Institute of Medicine, University of Tsukuba, Ibaraki, Japan.
The hyaline-vascular variant of Castleman disease (HVCD) is relatively uncommon and demonstrates no specific clinical or laboratory findings; therefore, its preoperative diagnosis warrants a radiological evaluation. This study aimed to review imaging findings of HVCD, focusing on perilesional fat stranding and fatty proliferation. Patients with a pathologically confirmed HVCD diagnosis who had undergone CT were recruited from five hospitals from January 2000 to March 2023.
View Article and Find Full Text PDFRelationship Between F-FDG-PET/CT-derived Tumor Glucose Metabolic Activity, Nutritional Risk, and Survival in Patients With Soft-tissue Sarcoma.
Anticancer Res
January 2025
Department of Orthopedic Surgery, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Background/aim: The present study aimed to assess the relationship between the maximum standardized uptake value (SUVmax) on F-fluorodeoxyglucose positron emission tomography computed tomography (F-FDG-PET/CT) and the geriatric nutritional risk index (GNRI) in patients with soft-tissue sarcomas (STSs).
Patients And Methods: The present single-center retrospective observational study included patients who underwent F-FDG-PET/CT and for whom serum albumin levels, height, and body weight were measured prior to therapeutic intervention.
Results: A total of 81 patients were included in the study.
Predicting epidermal growth factor receptor mutation status of lung adenocarcinoma based on PET/CT images using deep learning.
Front Oncol
December 2024
Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Background: The aim of this study is to develop deep learning models based on F-fluorodeoxyglucose positron emission tomography/computed tomographic (F-FDG PET/CT) images for predicting individual epidermal growth factor receptor () mutation status in lung adenocarcinoma (LUAD).
Methods: We enrolled 430 patients with non-small-cell lung cancer from two institutions in this study. The advanced Inception V3 model to predict EGFR mutations based on PET/CT images and developed CT, PET, and PET + CT models was used.
Automated Measurement of Effective Radiation Dose by F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography.
Tomography
December 2024
Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon 16499, Republic of Korea.
Background/objectives: Calculating the radiation dose from CT in F-PET/CT examinations poses a significant challenge. The objective of this study is to develop a deep learning-based automated program that standardizes the measurement of radiation doses.
Methods: The torso CT was segmented into six distinct regions using TotalSegmentator.
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