Background: Fluorodeoxyglucose (F-FDG) positron emission tomography/computed tomography (PET/CT) imaging is recommended in patients with metastatic pheochromocytoma (PC) and paraganglioma (PGL). There are no data on whether routine preoperative F-FDG PET/CT in all patients with PC/PGL impacts surgical management.
Objective: The aim of this study was to determine whether routine preoperative F-FDG PET/CT imaging affects the surgical management of patients with PC/PGLs.
Methods: We analyzed clinical, biochemical, genetic, and anatomic imaging data in 93 consecutive patients with PC/PGL who collectively underwent a total of 100 operations and who had preoperative F-FDG PET/CT imaging.
Results: Of 100 operations, preoperative F-FDG PET/CT showed additional lesions compared to anatomic imaging in 15 cases. These patients were more likely to undergo an open surgical approach (P < 0.05). Presence of genetic mutation, redo operations, sex, age, or tumor size had no significant association with finding additional lesions on F-FDG PET/CT.
Conclusions: Additional lesions detected on preoperative F-FDG-PET/CT imaging have an impact on the surgical approach in patients with PC/PGLs. Therefore, surgeons should routinely obtain F-FDG-PET/CT imaging in patients with PC/PGL to allow for a more precise surgical intervention.
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http://dx.doi.org/10.1097/SLA.0000000000002671 | DOI Listing |
Eur Radiol
January 2025
Department of Radiology, Montpellier Research Center Institute, PINKCC Laboratory, Montpellier, France.
Objective: To provide up-to-date European Society of Urogenital Radiology (ESUR) guidelines for staging and follow-up of patients with ovarian cancer (OC).
Methods: Twenty-one experts, members of the female pelvis imaging ESUR subcommittee from 19 institutions, replied to 2 rounds of questionnaires regarding imaging techniques and structured reporting used for pre-treatment evaluation of OC patients. The results of the survey were presented to the other authors during the group's annual meeting.
Cancer Sci
January 2025
Hepatobiliary Surgery Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Immunotherapy has revolutionized cancer treatment, making it a challenge to noninvasively monitor immune infiltration. Metabolic reprogramming in cancers, including hepatocellular carcinoma (HCC), is closely linked to immune status. In this study, we aimed to evaluate the ability of carbon-11 acetate (C-acetate) and fluorine-18 fluorodeoxyglucose (F-FDG) PET/CT findings in predicting overall survival (OS) and immune infiltration in HCC patients.
View Article and Find Full Text PDFIndian J Nucl Med
November 2024
Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India.
Objectives: The objective is to evaluate the efficacy of F-fluorodeoxyglucose positron emission tomography (F-FDG-PET) computed tomography (CT) in the evaluation of tumor response to preoperative/palliative chemoradiotherapy (CRT) for advanced colorectal cancer; including metastatic cancer at primary presentation and recurrent cancers with local and/or distant metastasis.
Materials And Methods: Fifty patients with advanced rectal cancer underwent two point imaging with 18 FDG PET-CT before and after 3 weeks of completion of preoperative/palliative CRT in between 2016 and 2022. Patients with locally recurrent cancer also underwent radical surgery.
Mol Diagn Ther
January 2025
Thoracic Surgery and Lung Transplantation, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122, Milan, Italy.
Objectives: To investigate whether 18F-fluorodeoxyglucose positron emission tomography-computed tomography ([F]F-FDG PET/CT) metabolic parameters were associated with histology and to assess their prognostic role in patients with thymic lesions.
Patients And Methods: In total, 116 patients (49/67 M/F; mean age 59.5 years) who underwent preoperative [F]F-FDG PET/CT and thymectomy from 2012 to 2022 were retrospectively analyzed.
Acad Radiol
December 2024
PET/CT Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, Heilongjiang, PR China. Electronic address:
Purpose: This study aimed to develop and evaluate a machine learning model combining clinical, radiomics, and deep learning features derived from PET/CT imaging to predict lymph node metastasis (LNM) in patients with non-small cell lung cancer (NSCLC). The model's interpretability was enhanced using Shapley additive explanations (SHAP).
Methods: A total of 248 NSCLC patients who underwent preoperative PET/CT scans were included and divided into training, test, and external validation sets.
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