Prognostic value of [F]FDG PET/CT in patients with idiopathic pulmonary fibrosis.

The study investigates the prognostic value of [F]fluorodeoxyglucose (FDG) PET/CT in patients with idiopathic pulmonary fibrosis (IPF). A total of 346 IPF patients who underwent FDG PET/CT between 2007 and 2020 were analyzed. Pulmonary FDG uptake [target to background ratio (TBR)] was binarized by optimal cut-off value based on survival analysis.

The role of Tc-DPD bone SPECT/CT in the management of growth disturbance of the long bones in pediatric patients: a retrospective observational study.

Backgrounds: Determining the precise localization of diseased physes is crucial for guiding the treatment of growth disturbances. Conventional radiography, computed tomography (CT), and magnetic resonance imaging only provide information on physeal anatomy. Planar bone scintigraphy and bone single-photon emission computed tomography (SPECT) resolutions are suboptimal for clinically managing growth disturbances.

Hyperbolic disc embedding of functional human brain connectomes using resting-state fMRI.

The brain presents a real complex network of modular, small-world, and hierarchical nature, which are features of non-Euclidean geometry. Using resting-state functional magnetic resonance imaging, we constructed a scale-free binary graph for each subject, using internodal time series correlation of regions of interest as a proximity measure. The resulting network could be embedded onto manifolds of various curvatures and dimensions.

Association of androgen receptor expression with glucose metabolic features in triple-negative breast cancer.

Background: Androgen receptor (AR) is a potential therapeutic target in triple-negative breast cancer (TNBC). We aimed to elucidate the association of AR expression with glucose metabolic features in TNBC.

Methods: Two independent datasets were analyzed: FDG PET data of our institution and a public dataset of GSE135565.

Fully automated identification of brain abnormality from whole-body FDG-PET imaging using deep learning-based brain extraction and statistical parametric mapping.

Background: The whole brain is often covered in [F]Fluorodeoxyglucose positron emission tomography ([F]FDG-PET) in oncology patients, but the covered brain abnormality is typically screened by visual interpretation without quantitative analysis in clinical practice. In this study, we aimed to develop a fully automated quantitative interpretation pipeline of brain volume from an oncology PET image.

Method: We retrospectively collected 500 oncologic [F]FDG-PET scans for training and validation of the automated brain extractor.

Spatial Normalization Using Early-Phase [F]FP-CIT PET for Quantification of Striatal Dopamine Transporter Binding.

Purpose: The precise quantification of dopamine transporter (DAT) density on -(3-[F]Fluoropropyl)-2β-carbomethoxy-3β-(4-iodophenyl) nortropane positron emission tomography ([F]FP-CIT PET) imaging is crucial to measure the degree of striatal DAT loss in patients with parkinsonism. The quantitative analysis requires a spatial normalization process based on a template brain. Since the spatial normalization method based on a delayed-phase PET has limited performance, we suggest an early-phase PET-based method and compared its accuracy, referring to the MRI-based approach as a gold standard.

Relationship of EGFR Mutation to Glucose Metabolic Activity and Asphericity of Metabolic Tumor Volume in Lung Adenocarcinoma.

Purpose: EGFR-mutation (EGFR-mt) is a major oncogenic driver mutation in lung adenocarcinoma (ADC) and is more often observed in Asian population. In lung ADC, some radiomics parameters of FDG PET have been reported to be associated with EGFR-mt. Here, the associations between EGFR-mt and PET parameters, particularly asphericity (ASP), were evaluated in Asian population.

Predicting outcome of repair of medial meniscus posterior root tear with early osteoarthritis using bone single-photon emission computed tomography/computed tomography.

Repair of medial meniscus posterior root tear (MMPRT) is considered as an effective early intervention strategy for osteoarthritis. We aimed at evaluating whether or not single-photon emission computed tomography/computed tomography (SPECT/CT) could predict the treatment outcome.Eleven patients with MMPRT who underwent preoperative SPECT/CT were retrospectively enrolled.