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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.
Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm.
Radiography (Lond)
December 2024
Department of Physics, Faculty of Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia. Electronic address:
Introduction: Optimizing the image quality of Positron Emission Tomography/Computed Tomography (PET/CT) systems is crucial for effective monitoring, diagnosis, and treatment planning in oncology. This study evaluates the impact of time-of-flight (TOF) on PET/CT performance, focusing on varying penalty β values within Q. Clear reconstruction algorithm.
View Article and Find Full Text PDFComparative analysis of arterial involvement in predominant cranial and isolated extracranial phenotypes of giant cell arteritis using F-FDG PET-CT.
Arthritis Res Ther
December 2024
Department of Rheumatology, Hospital Universitario de Bellvitge. Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.
Objective: To investigate differences in arterial involvement patterns on F-FDG PET-CT between predominant cranial and isolated extracranial phenotypes of giant cell arteritis (GCA).
Methods: A retrospective review of F-FDG PET-CT findings was conducted on 140 patients with confirmed GCA. The patients were divided into two groups: the cranial group, which presented craniofacial ischemic symptoms either at diagnosis or during follow-up, and the isolated extracranial group which never exhibited such manifestations.
[F]FDG PET/CT Beyond Staging: Prognostic Significance of Sarcopenia and Adipose Tissue Metabolism in Esophageal Carcinoma.
Rev Esp Med Nucl Imagen Mol (Engl Ed)
December 2024
Department of Radiology, University of Health Sciences, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Turkey.
Aim: This study aimed to investigate the relationship between PET and CT parameters and sarcopenia, adipose tissue, and tumor metabolism in esophageal carcinoma(EC) and its impact on survival in EC.
Method: Our study included 122 EC patients who underwent PET/CT for staging. Muscle and adipose tissue characteristics were evaluated, including lumbar(L3) and cervical(C3) muscle areas, psoas major(PM) and sternocleidomastoid muscle(SCM) parameters, and PET parameters for visceral and subcutaneous adipose tissue(SAT).
Prognostic value of interim PET/CT in GCB and non-GCB DLBCL: comparison of the Deauville five-point scale and the ΔSUVmax method.
BMC Cancer
December 2024
Department of Nuclear Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, 200080, China.
Background: This study aimed to identify the prognostic value of interim F-FDG PET/CT (I-PET) for germinal center B-cell-like (GCB) and non-GCB diffuse large B-cell lymphoma (DLBCL), respectively.
Methods: Baseline F-FDG PET/CT (B-PET) and I-PET scans were performed in 112 patients with DLBCL. The prognostic value of I-PET using the Deauville five-point scale (D-5PS) criteria or percentage decrease in SUVmax (∆SUVmax) for GCB and non-GCB DLBCL were evaluated.
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