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Deep learning-based characterization of pathological subtypes in lung invasive adenocarcinoma utilizing F-deoxyglucose positron emission tomography imaging.
BMC Cancer
October 2024
Department of Radiology, Harbin Chest Hospital, Harbin, 150056, China.
Article Synopsis
- The study aimed to assess the effectiveness of a deep learning model using PET/CT images to identify and predict various subtypes of invasive lung adenocarcinoma in 250 patients.
- Researchers analyzed detailed imaging data and constructed both manual and deep learning diagnostic models, employing U-Net for image segmentation and ResNet for classification.
- Results showed significant differences in diagnostic performance among the cancer subtypes, with the deep learning model achieving high accuracy and area under the curve (AUC) scores, indicating its potential for improved diagnosis in clinical settings.
Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography - Computed Tomography Scanner.
J Vis Exp
June 2024
Mallinckrodt Institute of Radiology, Washington University School of Medicine.
The authors have developed a paradigm using positron emission tomography (PET) with multiple radiopharmaceutical tracers that combines measurements of cerebral metabolic rate of glucose (CMRGlc), cerebral metabolic rate of oxygen (CMRO2), cerebral blood flow (CBF), and cerebral blood volume (CBV), culminating in estimates of brain aerobic glycolysis (AG). These in vivo estimates of oxidative and non-oxidative glucose metabolism are pertinent to the study of the human brain in health and disease. The latest positron emission tomography-computed tomography (PET-CT) scanners provide time-of-flight (TOF) imaging and critical improvements in spatial resolution and reduction of artifacts.
View Article and Find Full Text PDFUntypical bilateral breast cancer with peritoneal fibrosis on F-FDG PET/CT: case report and literature review.
Front Med (Lausanne)
April 2024
Department of Nuclear Medicine, Peking University First Hospital, Beijing, China.
Background: Retroperitoneal fibrosis, a condition of uncertain origin, is rarely linked to 8% of malignant cases, including breast, lung, gastrointestinal, genitourinary, thyroid, and carcinoid. The mechanism leading to peritoneal fibrosis induced by tumors is not well understood, possibly encompassing direct infiltration of neoplastic cells or the initiation of inflammatory responses prompted by cytokines released by tumor cells. We report a case of breast cancer with renal metastasis and retroperitoneal fibrosis detected using F-FDG PET/CT, providing help for clinical diagnosis and treatment.
View Article and Find Full Text PDF[The Value of Baseline PET/CT Imaging of Bone Marrow F-FDG Uptake Pattern in Predicting Prognosis of DLBCL].
Zhongguo Shi Yan Xue Ye Xue Za Zhi
April 2024
Department of Medical Imaging, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China.
Objective: To investigate the prognostic value of bone marrow uptake pattern in F-deoxyglucose (F-FDG) PET/CT imaging before diffuse large B-cell lymphoma (DLBCL) treatment.
Methods: The clinical data of 156 patients with DLBCL were retrospectively analyzed. All patients underwent bone marrow biopsy, bone marrow smear, flow cytometry and F-FDG PET/CT scan before treatment.
[Research progress of FAPI PET/CT in the diagnosis of malignant liver tumors].
Zhonghua Gan Zang Bing Za Zhi
June 2023
Department of Nuclear Medicine, The First Clinical Hospital Affiliated to Harbin Medical University, Harbin 150001, China.
Malignant liver tumors have a high incidence and mortality rate. Therefore, it is of great significance to promptly learn about tumor advancement status through relevant examinations for patients' follow-up, diagnosis, and therapy as well as the improvement of the five-year survival rate. The primary lesions and intrahepatic metastases of malignant liver tumors have been better demonstrated in the clinical study with the use of various isotope-labeled fibroblast activating protein inhibitors because of their low uptake in liver tissues and high tumor/background ratio, which provides a new method for early diagnosis, precise staging, and radionuclide therapy.
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