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F-18 FDG PET/CT based Preoperative Machine Learning Prediction Models for Evaluating Regional Lymph Node Metastasis Status of Patients with Colon Cancer.
Asian Pac J Cancer Prev
January 2025
Department of Nuclear Medicine, Busan Paik Hospital, University of Inje College of Medicine, Busan, Republic of Korea.
Objective: This study aimed to develop a simple machine-learning model incorporating lymph node metastasis status with F-18 Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) and clinical information for predicting regional lymph node metastasis in patients with colon cancer.
Methods: This retrospective study included 193 patients diagnosed with colon cancer between January 2014 and December 2017. All patients underwent F-18 FDG PET/CT and blood test before surgery.
Preclinical evaluation and preliminary clinical study of Ga-NODAGA-NM-01 for PET imaging of PD-L1 expression.
Cancer Imaging
January 2025
Department of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Hongkou District, No. 100, Haining Road, Shanghai, 200080, China.
Background: Programmed cell death 1/programmed death ligand-1 (PD-L1)-based immune checkpoint blockade is an effective treatment approach for non-small-cell lung cancer (NSCLC). However, immunohistochemistry does not accurately or dynamically reflect PD-L1 expression owing to its spatiotemporal heterogeneity. Herein, we assessed the feasibility of using a Ga-labeled anti-PD-L1 nanobody, Ga-NODAGA-NM-01, for PET imaging of PD-L1.
View Article and Find Full Text PDFClinical significance of post-chemoradiotherapy 2-[F]FDG PET/CT response in locally advanced nasopharyngeal carcinoma: A real-world study.
Oral Oncol
February 2025
Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, China. Electronic address:
Purpose: To investigate the prognostic value of post-chemoradiotherapy 2-[F]FDG PET/CT in locally advanced nasopharyngeal carcinoma (LANPC) and develop an accurate prognostic model based on the 2-[F]FDG PET/CT results.
Methods: 900 LANPC patients who underwent pretreatment and post-chemoradiotherapy 2-[F]FDG PET/CT from May 2014 to August 2022 were included in the study. We divided the patients into two distinct cohorts for the purpose of our study: a training cohort comprising 506 individuals, included from May 2008 to April 2020, and a validation cohort consisting of 394 individuals, included from May 2020 to August 2022.
Advances in prostate-specific membrane antigen-targeted theranostics: from radionuclides to near-infrared fluorescence technology.
Front Immunol
January 2025
Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Prostate-Specific Membrane Antigen (PSMA) is a highly expressed and structurally unique target specific to prostate cancer (PCa). Diagnostic and therapeutic approaches in nuclear medicine, coupling PSMA ligands with radionuclides, have shown significant clinical success. PSMA-PET/CT effectively identifies tumors and metastatic lymph nodes for imaging purposes, while -PSMA-617 (Pluvicto) has received FDA approval for treating metastatic castration-resistant PCa (mCRPC).
View Article and Find Full Text PDF[Development and validation of a nomogram combining clinical and F-FDG PET/CT parameters for prediction of high-grade patterns in invasive lung adenocarcinoma].
Zhonghua Yi Xue Za Zhi
January 2025
Department of Nuclear Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing100730, China.
To establish and validate a nomogram based on clinical characteristics and metabolic parameters derived from F-fluorodeoxyglucose positron emission tomography and computed tomography (F-FDG PET/CT) for prediction of high-grade patterns (HGP) in invasive lung adenocarcinoma. The clinical and PET/CT image data of 311 patients who were confirmed invasive lung adenocarcinoma and underwent pre-treatment F-FDG PET/CT scan in Beijing Hospital between October 2017 and March 2022 were retrospectively collected. The enrolled patients were divided into HGP group (196 patients) and non-HGP group (115 patients) according to the presence and absence of HGP.
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