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장범섭 교수

Bum-Sup Jang

서울대학교 · 의학

연구실 소개

장범섭 교수의 연구실은 뇌신경종양, 특히 간질성 뇌종양의 정밀의료를 목표로 하며, 영상기반 기계학습 및 딥러닝 기반 진단 모델 개발에 주력하고 있습니다. 특히, 뇌종양 환자에서 위약진행(PSiPD)과 재발을 정확히 구분하는 AI 기반 진단 알고리즘의 임상적 적용 가능성을 탐색하고 있으며, 방사선 치료의 효율성을 높이기 위한 종양 미세환경 분석 및 기능적 영상 기반 치료계획 수립 기술도 개발하고 있습니다. 이와 함께 저소득층 환자에서의 예후 불균형 문제에 대한 인식 제고와 임상적 지원 전략 모색도 연구의 한 축을 이룹니다.

기계학습뇌종양위약진행기능적 방사선치료종양 미세환경

연구 현황

논문 수
144
총 인용 수
1,015
최근 5년 논문
95
주요 분야
의학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
95총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
466총합
20212022202320242025

주요 논문

15
1
논문|인용수 119·2018
Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
Bum‐Sup Jang, Seung Hyuck Jeon, Il Han Kim, In Ah Kim
SJR Q1FWCI 9.2Scientific ReportsOA

We aimed to investigate the feasibility of machine learning (ML) algorithm to distinguish pseudoprogression (PsPD) from progression (PD) in patients with glioblastoma (GBM). We recruited the patients diagnosed as primary GBM who received gross total resection (GTR) and concurrent chemoradiotherapy in two institutions from April 2010 to April 2017 and presented suspicious contrast-enhanced lesion on brain magnetic resonance imaging (MRI) during follow-up. Patients from two institutions were alloc

Radiology, Nuclear Medicine and ImagingMedicine
2
논문|인용수 66·2020
Gut Microbiome Composition Is Associated with a Pathologic Response After Preoperative Chemoradiation in Patients with Rectal Cancer
Bum‐Sup Jang, Ji Hyun Chang, Eui Kyu Chie, Kyubo Kim, Ji Won Park, Min Jung Kim, Eun‐Ji Song, Young‐Do Nam, Seung Wan Kang, Seung‐Yong Jeong, Hak Jae Kim
SJR Q1FWCI 3.8International Journal of Radiation Oncology*Biology*Physics
Molecular BiologyBiochemistry, Genetics and Molecular Biology
3
논문|인용수 63·2019
Tumor mutation burden, immune checkpoint crosstalk and radiosensitivity in single-cell RNA sequencing data of breast cancer
Bum‐Sup Jang, Won‐Sik Han, In Ah Kim
SJR Q1FWCI 4.4Radiotherapy and Oncology
OncologyMedicine
4
논문|인용수 42·2018
A radiosensitivity gene signature and PD-L1 predict the clinical outcomes of patients with lower grade glioma in TCGA
Bum‐Sup Jang, In Ah Kim
SJR Q1FWCI 3.5Radiotherapy and Oncology
GeneticsMedicine
5
논문|인용수 38·2020
Heart substructural dosimetric parameters and risk of cardiac events after definitive chemoradiotherapy for stage III non-small cell lung cancer
Bum‐Sup Jang, Myung‐Jin Cha, Hak Jae Kim, Seil Oh, Hong‐Gyun Wu, Eunji Kim, Byoung Hyuck Kim, Jae Sik Kim, Ji Hyun Chang
SJR Q1FWCI 2.1Radiotherapy and Oncology
Cardiology and Cardiovascular MedicineMedicine
7
논문|인용수 34·2020
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07)
Bum‐Sup Jang, Andrew J. Park, Seung Hyuck Jeon, Il Han Kim, Il Han Kim, Do Hoon Lim, Shin-Hyung Park, Ju Hye Lee, Ji Hyun Chang, Kwan Ho Cho, Jin Hee Kim, Leonard Sunwoo
SJR Q1FWCI 3.0CancersOA

Some patients with glioblastoma show a worsening presentation in imaging after concurrent chemoradiation, even when they receive gross total resection. Previously, we showed the feasibility of a machine learning model to predict pseudoprogression (PsPD) versus progressive disease (PD) in glioblastoma patients. The previous model was based on the dataset from two institutions (termed as the Seoul National University Hospital (SNUH) dataset, <i>N</i> = 78). To test this model in a larger dataset,

GeneticsMedicine
8
논문|인용수 32·2021
Image-based deep learning model for predicting pathological response in rectal cancer using post-chemoradiotherapy magnetic resonance imaging
Bum‐Sup Jang, Yu Jin Lim, Changhoon Song, Seung Hyuck Jeon, Keun‐Wook Lee, Sung‐Bum Kang, Yoon Jin Lee, Kim Js
SJR Q1FWCI 2.9Radiotherapy and Oncology
Radiology, Nuclear Medicine and ImagingMedicine
9
논문|인용수 30·2019
Socioeconomic status and survival outcomes in elderly cancer patients: A national health insurance service‐elderly sample cohort study
Bum‐Sup Jang, Ji Hyun Chang
SJR Q1FWCI 1.9Cancer MedicineOA

Low SES at the time of cancer diagnosis is associated with increased risk of OS and CSS in elderly patients. Depending on cancer sites, different patterns of OS and CSS were observed according to SES. Further elucidation of the causes underlying these phenomena is needed along with appropriate support for elderly cancer patients with low SES.

Geriatrics and GerontologyMedicine
10
논문|인용수 22·2019
A Radiosensitivity Gene Signature and PD-L1 Status Predict Clinical Outcome of Patients with Glioblastoma Multiforme in The Cancer Genome Atlas Dataset
Bum‐Sup Jang, In Ah Kim
SJR Q1FWCI 2.4Cancer Research and TreatmentOA

Taken together, PD-L1-high-RR group could potentially benefit from radiotherapy combined with PD-1/PD-L1 blockade and angiogenesis inhibition.

Radiology, Nuclear Medicine and ImagingMedicine
11
논문|인용수 14·2017
Surgery vs. radiotherapy in patients with uveal melanoma
Bum‐Sup Jang, Ji Hyun Chang, Sohee Oh, Yu Jin Lim, Il Han Kim
SJR Q2FWCI 0.9Strahlentherapie und Onkologie
OphthalmologyMedicine
12
논문|인용수 12·2022
Relationship between Macrophage and Radiosensitivity in Human Primary and Recurrent Glioblastoma: In Silico Analysis with Publicly Available Datasets
Bum‐Sup Jang, In Ah Kim
SJR Q1FWCI 1.8BiomedicinesOA

The glioblastoma microenvironment predominantly contains tumor-associated macrophages that support tumor growth and invasion. We investigated the relationship between tumor radiosensitivity and infiltrating M1/M2 macrophage profiles in public datasets of primary and recurrent glioblastoma. We estimated the radiosensitivity index (RSI) score based on gene expression rankings. Macrophages were profiled using the deconvolution algorithm CIBERSORTx. Samples from The Cancer Genome Atlas (TCGA), Chine

GeneticsMedicine
13
논문|인용수 8·2019
Generation of virtual lung single‐photon emission computed tomography/CT fusion images for functional avoidance radiotherapy planning using machine learning algorithms
Bum‐Sup Jang, Ji Hyun Chang, Andrew J. Park, Hong‐Gyun Wu
SJR Q2FWCI 1.2Journal of Medical Imaging and Radiation OncologyOA

The results indicate that the cGAN model used here can generate functional areas from RT planning chest CT images. This could be used for functional image-guided RT planning, for example, to spare patients' lung function without additional imaging modalities and costs. Additional studies are needed with many more training and test sets.

RadiationPhysics and Astronomy
14
논문|인용수 7·2018
Role of Adjuvant Chemoradiotherapy for Duodenal Cancer: An Updated Analysis of Long‐Term Follow‐Up from Single Institution
Bum‐Sup Jang, Hae Jin Park, Kyubo Kim, Jin‐Young Jang, Sun‐Whe Kim, Do‐Youn Oh, Eui Kyu Chie
SJR Q1FWCI 0.4World Journal of Surgery

Abstract Background There are only limited data on the failure patterns after surgical resection for duodenal cancer, and the role of adjuvant chemoradiotherapy (CRT) also remains controversial. In this study, the treatment outcomes of surgery alone were compared to those of surgery plus adjuvant CRT for duodenal cancer. Methods Between January 1991 and February 2013, a total of 47 patients with duodenal cancer had pancreaticoduodenectomy, and their age ranged from 31 to 80 (median 62). Twenty‐f

OncologyMedicine
15
리뷰|인용수 7·2022
Postmastectomy Radiation Therapy in Patients With Minimally Involved Lymph Nodes: A Review of the Current Data and Future Directions
Bum‐Sup Jang, Kyung Hwan Shin
SJR Q2FWCI 0.6Journal of Breast CancerOA

Radiation therapy for patients with pN1mi or pN1 disease breast cancer undergoing mastectomy has been debated for a long time. Even in low metastatic burden in sentinel node biopsy, occult non-sentinel axillary nodal involvement can exist. Radiotherapy can sterilize axillary metastatic burden and seems to contribute a very low local recurrence rate in mastectomy patients with minimally involved lymph nodes. However, it should be considered that systemic therapy is evolving and the local recurren

Cancer ResearchBiochemistry, Genetics and Molecular Biology

대표 연구 분야

Radiology, Nuclear Medicine and ImagingOncologyCancer ResearchMolecular BiologyPulmonary and Respiratory MedicineGenetics

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