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Head-to-Head Comparison Between [68Ga]Ga-DOTA.SA.FAPi And [18F]F-FDG PET/CT Imaging in Patients With Sarcoma.
Clin Nucl Med
January 2025
From the Departments of Nuclear Medicine.
Purpose: This study aimed to compare the diagnostic efficacy of [68Ga]Ga-DOTA.SA.FAPi and [18F]F-FDG PET/CT for detecting primary and metastatic lesions in sarcoma patients.
View Article and Find Full Text PDFDiffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma, and a sizable fraction of the DLBCL patients presents with advanced, relapsed, and refractory disease, demonstrating poor response to standard chemotherapy regimens. Radioimmunotherapy (RIT) has shown to be clinically effective in refractory DLBCL. We present the case of a patient with DLBCL with [18F]FDG-avid widespread skeletal as well as splenic involvement as poor prognostic extranodal disease on FDG PET/CT.
View Article and Find Full Text PDFF-FDG PET/CT radiomic analysis and artificial intelligence to predict pathological complete response after neoadjuvant chemotherapy in breast cancer patients.
Radiol Med
January 2025
Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Purpose: Build machine learning (ML) models able to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients based on conventional and radiomic signatures extracted from baseline [F]FDG PET/CT.
Material And Methods: Primary tumor and the most significant lymph node metastasis were manually segmented in baseline [F]FDG PET/CT of 52 newly diagnosed BC patients. Clinical parameters, NAC and conventional semiquantitative PET parameters were collected.
Radiomic signatures derived from baseline 18F FDG PET/CT imaging can predict tumor-infiltrating lymphocyte values in patients with primary breast cancer.
Nuklearmedizin
January 2025
Department of Nuclear Medicine, Başakşehir Cam and Sakura City Hospital, University of Health Sciences, Istanbul, Turkey.
To determine the value of radiomics data extraction from baseline 18F FDG PET/CT in the prediction of tumor-infiltrating lymphocytes (TILs) among patients with primary breast cancer (BC).We retrospectively evaluated 74 patients who underwent baseline 18F FDG PET/CT scans for BC evaluation between October 2020 and April 2022. Radiomics data extraction resulted in a total of 131 radiomic features from primary tumors.
View Article and Find Full Text PDFBrown adipose tissue is associated with reduced weight loss and risk of cancer cachexia: A retrospective cohort study.
Clin Nutr
December 2024
Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Department of Nutrition, University of California Davis, Davis, CA, USA; Department of Radiology, University of California Davis, Sacramento, CA, USA; Department of Nutritional Sciences and Dietetics, Harokopio University of Athens, Greece. Electronic address:
Background & Aims: Brown adipose tissue (BAT) has been mainly investigated as a potential target against cardiometabolic disease, but it has also been linked to cancer-related outcomes. Although preclinical data support that BAT and the thermogenic adipocytes in white adipose tissue may play an adverse role in the pathogenesis of cancer cachexia, results from studies in patients have reported inconsistent results. The purpose of this study was to examine the interrelationship between presence of detectable BAT, changes in body weight, and cachexia in patients with cancer.
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