Accessibility of positron emission tomography integrated with computed tomography (PET/CT) has improved significantly in recent years. PET/CT with the use of 18F-deoxyglucose (FDG) is widely used in patients with ovarian malignancies at different stages of the management. FDG PET/CT shows high diagnostic accuracy in the differentiation of benign and malignant ovarian lesions with the exception of borderline tumors that may cause false negative results. Moreover FDG PET/CT is used in some centers for preoperative staging and determining the prognosis of ovarian cancer However further studies including larger groups of patients are needed to confirm the applicability of FDG PET/CT in case of the two abovementioned indications. Until now, the best documented indication for FDG PET/ CT in patients with ovarian cancer has been the detection of recurrence, especially in subjects with elevated CA 125 marker and negative results of other imaging techniques. This review focuses on the applicability of PET with the use of FDG in ovarian malignancies and points out to the limitations of this method.
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http://dx.doi.org/10.17772/gp/1630 | DOI Listing |
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.
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).
BMC Med Imaging
December 2024
Department of Radiology, Cardiothoracic Imaging, University of Utah, 30 N 1900 E #1A71, Salt Lake City, Utah, 84132, USA.
Background: Lung cancer is a leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) comprising 85% of cases. Due to the lack of early clinical signs, metastasis often occurs before diagnosis, impacting treatment and prognosis. Cardiovascular disease (CVD) is a common comorbidity in lung cancer patients, with shared risk factors exacerbating outcomes.
View Article and Find Full Text PDFBMC 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.
Jpn J Radiol
December 2024
Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Objectives: This study evaluates the effectiveness of machine learning (ML) models that incorporate clinical and 2-deoxy-2-[F]fluoro-D-glucose ([F]-FDG)-positron emission tomography (PET)-radiomic features for predicting outcomes in gallbladder cancer patients.
Materials And Methods: The study analyzed 52 gallbladder cancer patients who underwent pre-treatment [F]-FDG-PET/CT scans between January 2011 and December 2021. Twenty-seven patients were assigned to the training cohort between January 2011 and January 2018, and the data randomly split into training (70%) and validation (30%) sets.
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