Seung Hwan Moon
Sungkyunkwan University · Medicine
About the Lab
Professor Seung Hwan Moon's research lab specializes in molecular imaging and nuclear medicine, with a focus on advancing the clinical application of PET/CT for accurate cancer prognosis and treatment monitoring. The lab investigates volume-based metabolic parameters such as metabolic tumor volume and total lesion glycolysis in various malignancies, including squamous cell carcinoma and nasal-type NK/T-cell lymphoma. Additionally, the lab contributes to neuroimaging research, particularly in standardizing amyloid-beta quantification using different PET tracers like florbetaben and flutemetamol, and explores the link between metabolic diseases and vascular inflammation using FDG-PET. Their work bridges molecular imaging with clinical outcomes, aiming to improve patient stratification and personalized treatment strategies.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Accurate prediction of cancer prognosis before the start of treatment is important since these predictions often affect the choice of treatment. Prognosis is usually based on anatomical staging and other clinical factors. However, the conventional system is not sufficient to accurately and reliably determine prognosis. Metabolic parameters measured by (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) have the potential to provide valuable information regarding prognosis and treat
BACKGROUND: The prognostic significance of volume-based metabolic parameters measured by (18)F-fluorodeoxyglucose positron emission tomography/CT ((18) F-FDG PET/CT) is not established. We evaluated the prognostic value of metabolic parameters in patients with squamous cell carcinoma (SCC) of the tonsil. METHODS: We enrolled a total of 69 patients with SCC of the tonsil who underwent pretreatment (18)F-FDG PET/CT. We measured maximum standardized uptake value (SUV(max)), metabolic tumor volume (
Our study demonstrated that (18)F-FDG PET/CT scanning is a valuable modality for staging and treatment planning in patients with nasal-type NK/T-cell lymphoma.
Abstract The Centiloid (CL) is a method for standardizing amyloid beta (Aβ) quantification through different ligands and methods. To find the most appropriate reference region to reduce the variance in the Aβ CL unit between 18 F-florbetaben (FBB) and 18 F-flutemetamol (FMM), we conducted head-to-head comparisons from 56 participants using the direct comparison of FBB-FMM CL (dcCL) method with four reference regions: cerebellar gray (CG), whole cerebellum (WC), WC with brainstem (WC + B), and po
We aimed to quantitatively and qualitatively assess whether there is a discrepancy in detecting amyloid beta (Aβ) positivity between 18F-florbetaben (FBB) and 18F-flutemetamol (FMM) positron emission tomography (PET). We obtained paired FBB and FMM PET images from 107 participants. Three experts visually quantified the Aβ deposition as positive or negative. Quantitative assessment was performed using global cortical standardized uptake value ratio (SUVR) with the whole cerebellum as the referenc
We assessed the association between nonalcoholic fatty liver disease (NAFLD) and carotid artery inflammation measured by (18)F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography. Participants were 755 consecutive otherwise healthy adult males who underwent a general health screening program. Carotid FDG uptake, represented as maximum target-to-background ratio, was increased with mild (n = 237; 1.61 ± 0.14; P = .033) and moderate NAFLD (n = 145; 1.63 ± 0.16; P = .005) comp
The TLG of the primary tumor was a significant independent metabolic prognostic factor of DFS in patients with NPC treated with CCRT.
Abstract This study investigated the associations between image features extracted from tumor 18 F-fluorodeoxyglucose (FDG) uptake and genetic alterations in patients with lung cancer. A total of 137 patients (age, 62.7 ± 10.2 years) who underwent FDG positron emission tomography/computed tomography (PET/CT) and targeted deep sequencing analysis for a tumor lesion, comprising 61 adenocarcinoma (ADC), 31 squamous cell carcinoma (SQCC), and 45 small cell lung cancer (SCLC) patients, were enrolled
Our findings suggest that FMM might be better than FBB to detect amyloid burden in the striatum, although both ligands are comparable for imaging AD pathology in vivo.
SUV max, combined with clinical T classification, may be useful for predicting occult lymph node metastasis in patients with clinically N0 squamous cell carcinoma of the esophagus.
When a recognition system designed with a noise-free speech signal is deployed in the real world, it experiences severe degradation due to environmental acoustic ambient noise. An enhancement technique based on a noise removing network (NRN) which has recurrent connections is proposed. This NRN is trained in coordination with a time delay neural network (TDNN) which has been trained for noise-free speech recognition tasks. The proposed enhancement technique has favorable performance for white/co
The 18F-FDG uptake of untreated papillary thyroid carcinoma has an inverse correlation with NIS expression. However, GLUT1 expression does not appear to be associated with 18F-FDG uptake in untreated papillary thyroid carcinoma.
Research Areas
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