Skip to main content

Jin-Young Kwox

Yonsei University · Medicine

About the Lab

Professor Jin-Young Kwox's research lab specializes in diagnostic and prognostic imaging in thyroid disease, with a primary focus on ultrasound-based risk stratification of thyroid nodules and papillary thyroid microcarcinoma (PTMC). The lab investigates the correlation between ultrasonographic features and molecular markers such as BRAF(V600E) mutation, aiming to improve clinical decision-making through non-invasive imaging predictors. Research also extends to preoperative ultrasound evaluation of extrathyroidal extension and the role of repeat fine-needle aspiration biopsy in nodules with suspicious features despite benign cytology.

thyroid noduleultrasound imagingPTMCBRAF mutationrisk stratification

Research Overview

Papers
446
Total Citations
14,508
Papers (5y)
19
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
19total
2022
2023
2024
2025
2026
Citations per year (5y)
65total
20222023202420252026

Selected Papers

15
1
Article|1,097 citations·2011
Thyroid Imaging Reporting and Data System for US Features of Nodules: A Step in Establishing Better Stratification of Cancer Risk
Jin Young Kwak, Kyunghwa Han, Jung Hyun Yoon, Hee Jung Moon, Eun Ju Son, Sohee Park, Hyun Kyung Jung, Ji Soo Choi, Bo Mi Kim, Eun‐Kyung Kim
SJR Q1RadiologyOA

Risk stratification of thyroid malignancy by using the number of suspicious US features allows for a practical and convenient TIRADS.

Endocrinology, Diabetes and MetabolismMedicine
2
Article|150 citations·2013
Image Reporting and Characterization System for Ultrasound Features of Thyroid Nodules: Multicentric Korean Retrospective Study
Jin Young Kwak, Inkyung Jung, Jung Hwan Baek, Seon Mi Baek, Nami Choi, Yoon Jung Choi, So Lyung Jung, Eun‐Kyung Kim, Jeong‐Ah Kim, Ji‐hoon Kim, Kyu Sun Kim, Jeong Hyun Lee
SJR Q1Korean Journal of RadiologyOA

The predictor model using suspicious malignant US features may be helpful in risk stratification of thyroid nodules.

Endocrinology, Diabetes and MetabolismMedicine
3
Article|145 citations·2009
Value of US Correlation of a Thyroid Nodule with Initially Benign Cytologic Results
Jin Young Kwak, Hyeryoung Koo, Ji Hyun Youk, Min Jung Kim, Hee Jung Moon, Eun Ju Son, Eun‐Kyung Kim
SJR Q1RadiologyOA

Repeat FNAB should be performed for thyroid nodules that have suspicious US features, even if the initial cytologic results indicate that it is a benign lesion.

Endocrinology, Diabetes and MetabolismMedicine
4
Article|141 citations·2008
Extrathyroid Extension of Well-Differentiated Papillary Thyroid Microcarcinoma on US
Jin Young Kwak, Eun‐Kyung Kim, Ji Hyun Youk, Min Jung Kim, Eun Ju Son, Seon Hyeong Choi, Ki Keun Oh
SJR Q1ThyroidOA

This study suggests that the presence and degree of contact between a PTMC and the adjacent capsule as found on preoperative US can provide an useful predictive information about an extrathyroidal extension.

Endocrinology, Diabetes and MetabolismMedicine
5
Article|129 citations·2009
Association of BRAFV600EMutation with Poor Clinical Prognostic Factors and US Features in Korean Patients with Papillary Thyroid Microcarcinoma
Jin Young Kwak, Eun‐Kyung Kim, Woong Youn Chung, Hee Jung Moon, Min Jung Kim, Jong Rak Choi
SJR Q1RadiologyOA

PURPOSE: To evaluate the association of known prognostic factors with the BRAF(V600E) mutation and its association with ultrasonographic (US) features in Korean patients with papillary thyroid microcarcinoma (PTMC). MATERIALS AND METHODS: This retrospective study was institutional review board approved; informed consent was not required from patients. From July 2008 to November 2008, 339 consecutive patients underwent surgery for PTMC. US-guided fine-needle aspiration biopsy was performed to eva

Endocrinology, Diabetes and MetabolismMedicine
6
Article|128 citations·2011
Minimal Extrathyroidal Extension in Patients with Papillary Thyroid Microcarcinoma: Is It a Real Prognostic Factor?
Hee Jung Moon, Eun‐Kyung Kim, Woong Youn Chung, Jung Hyun Yoon, Jin Young Kwak
SJR Q1Annals of Surgical OncologyOA
Endocrinology, Diabetes and MetabolismMedicine
7
Article|127 citations·2013
Pulmonary actinomycosis during the first decade of 21st century: cases of 94 patients
So Ri Kim, Lae Young Jung, In‐Jae Oh, Young‐Chul Kim, Kyeong‐Cheol Shin, Min Ki Lee, Sei‐Hoon Yang, Hee Sun Park, Mi Kyung Kim, Jin Young Kwak, Soo‐Jung Um, Seung Won
SJR Q1BMC Infectious DiseasesOA

BACKGROUND: Pulmonary actinomycosis is a chronic pulmonary infection caused by Actinomyces. Both improving oral hygiene and early application of antibiotics to the case of suspicious pulmonary infections result in changes in incidences and presentations of pulmonary actinomycosis. However, there are little reports dealt with the recent clinical characteristics of pulmonary actinomycosis. This study aimed to review the characteristics of pulmonary actinomycosis occurred during the first decade of

MicrobiologyMedicine
8
Article|126 citations·2009
Papillary Microcarcinoma of the Thyroid: Predicting Factors of Lateral Neck Node Metastasis
Jin Young Kwak, Eun‐Kyung Kim, Min Jung Kim, Eun Ju Son, Woong Youn Chung, Cheong Soo Park, Kee‐Hyun Nam
SJR Q1Annals of Surgical OncologyOA
Endocrinology, Diabetes and MetabolismMedicine
9
Review|116 citations·2014
Ultrasound elastography for thyroid nodules: recent advances
Jin Young Kwak, Eun‐Kyung Kim
SJR Q1ULTRASONOGRAPHYOA

Ultrasonography (renamed from the Journal of Korean Society of Ultrasound in Medicine in January 2014), the official English-language journal of the Korean Society of Ultrasound in Medicine (KSUM), is an international peer-reviewed academic journal dedicated to practice, research, technology, and education dealing with medical ultrasound, Aims and Scope:Ultrasonography (renamed from the Journal of Korean Society of Ultrasound in Medicine in January 2014), the official English-language journal of

Endocrinology, Diabetes and MetabolismMedicine
10
Article|104 citations·2012
Preoperative Prediction of Central Lymph Node Metastasis in Thyroid Papillary Microcarcinoma Using Clinicopathologic and Sonographic Features
Kyung‐Eun Kim, Eun‐Kyung Kim, Jung Hyun Yoon, Kyunghwa Han, Hee Jung Moon, Jin Young Kwak
SJR Q1World Journal of SurgeryOA

BACKGROUND: The purpose of the present study was to evaluate the clinicopathologic factors and ultrasound (US) features predictive of central lymph node metastasis (LNM) in patients diagnosed with papillary thyroid microcarcinoma (PTMC). METHODS: From March 2008 to August 2008, the clinicopathologic features and preoperative US features of 483 patients who were diagnosed with conventional PTMC were included. Medical records, US features, and pathology reports of all patients were retrospectively

Endocrinology, Diabetes and MetabolismMedicine
11
Article|102 citations·2011
Factors affecting inadequate sampling of ultrasound-guided fine-needle aspiration biopsy of thyroid nodules
Seon Hyeong Choi, Kyunghwa Han, Jung Hyun Yoon, Hee Jung Moon, Eun Ju Son, Ji Hyun Youk, Eun‐Kyung Kim, Jin Young Kwak
SJR Q2Clinical EndocrinologyOA

PURPOSE: The aim of this study was to evaluate the overall ultrasonographic features and clinical factors that contribute to inadequate sampling in ultrasound-guided fine-needle aspiration biopsy (US-FNAB) of thyroid nodules. MATERIALS AND METHODS: From April 2008 to December 2008, 4077 US-FNABs in 3767 consecutive patients were reviewed. We evaluated the clinical, ultrasound and pathological features of patients and analysed the association between these features and inadequate samples. We also

Endocrinology, Diabetes and MetabolismMedicine
12
Article|102 citations·2019
Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound
Su Yeon Ko, Ji Hye Lee, Jung Hyun Yoon, Hyesun Na, Eunhye Hong, Kyunghwa Han, Inkyung Jung, Eun‐Kyung Kim, Hee Jung Moon, Vivian Youngjean Park, Eunjung Lee, Jin Young Kwak
SJR Q1Head & NeckOA

BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists. METHODS: Between May 2012 and February 2015, 589 thyroid nodules in 519 patients were diagnosed as benign or malignant by surgical excision. Experienced radiologists retrospectively reviewed the US of the thyroid nodules in a test set. CNNs were trained and tested using retrospective data of 439 a

Endocrinology, Diabetes and MetabolismMedicine
13
Article|94 citations·2019
Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists
Vivian Youngjean Park, Kyunghwa Han, Yeong Kyeong Seong, Moon Ho Park, Eun‐Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Jin Young Kwak
SJR Q1Scientific ReportsOA

Computer-aided diagnosis (CAD) systems hold potential to improve the diagnostic accuracy of thyroid ultrasound (US). We aimed to develop a deep learning-based US CAD system (dCAD) for the diagnosis of thyroid nodules and compare its performance with those of a support vector machine (SVM)-based US CAD system (sCAD) and radiologists. dCAD was developed by using US images of 4919 thyroid nodules from three institutions. Its diagnostic performance was prospectively evaluated between June 2016 and F

Endocrinology, Diabetes and MetabolismMedicine
14
Article|88 citations·2009
How to combine ultrasound and cytological information in decision making about thyroid nodules
Jin Young Kwak, Eun‐Kyung Kim, Hye Jung Kim, Min Jung Kim, Eun Ju Son, Hee Jung Moon
SJR Q1European RadiologyOA
Endocrinology, Diabetes and MetabolismMedicine
15
Article|83 citations·2010
How to Approach Thyroid Nodules with Indeterminate Cytology
Jung Hyun Yoon, Jin Young Kwak, Eun‐Kyung Kim, Hee Jung Moon, Min Jung Kim, Ji Youn Kim, Hye Ryoung Koo, Myung Hyun Kim
SJR Q1Annals of Surgical OncologyOA
Endocrinology, Diabetes and MetabolismMedicine

Research Areas

Endocrinology, Diabetes and MetabolismPathology and Forensic MedicineAerospace EngineeringRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineSurgery

Dive deeper into Jin-Young Kwox's research on Nubint

Open this lab's papers in the app to read with AI, summarize, and cite in your writing.