Evidence map›Paper›PMID 42782061›Full record

ArticleCancer medicine2026

Two-Decade Trends in Radiotherapy Patterns and Clinical Outcomes for Soft Tissue Sarcoma: A Nationwide Study in South Korea (2005-2023).

Tae Hyung Kim, Jun-Hyuk Lee, Kyungtae Hong, Hyuntak Koh, Seo Hee Choi, Hong In Yoon

Abstract read
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Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Tae Hyung KimDepartment of Radiation Oncology, Yongin Severance Hospital, Yonsei University College of Medicine, Yonsei University Health System, Yongin, Korea.ORCID https://orcid.org/0000-0002-5205-3775
Jun-Hyuk LeeDepartment of Family Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1007-1633
Kyungtae HongDepartment of Physiology, Hanyang University College of Medicine, Seoul, Korea.
Hyuntak KohDepartment of Physiology, Hanyang University College of Medicine, Seoul, Korea.
Seo Hee ChoiDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea.ORCID https://orcid.org/0000-0002-4083-6414
Hong In YoonDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea.ORCID https://orcid.org/0000-0002-2106-6856

Funding

Korean Government (MSIT) RS-2023-00279682National Research Foundation of Korea (NRF)Severance Hospital Research Fund for Clinical Excellence C-2025-0031Yonsei University College of Medicine 2026-32-0070Yonsei University College of Medicine 6-2026-0069
6 · The paper itself

Abstract

backgroundSoft tissue sarcoma (STS) is a rare malignancy with increasing utilization of advanced radiotherapy (RT). We evaluated nationwide transitions in RT patterns and clinical outcomes for STS in South Korea, focusing on the impact of national healthcare policies.

methodsUtilizing the National Health Insurance Service database (2005-2023), we identified 52,245 patients with STS. Temporal trends in RT modalities (3D-conformal RT [3D-CRT] vs. intensity-modulated RT [IMRT]) and fractions per course were analyzed using joinpoint regression with a pre-specified breakpoint at 2014. Survival analysis was performed for 45,465 patients using Cox proportional hazards models.

resultsThe annual incidence of STS increased from 2338 to 3066 cases. A definitive shift toward IMRT occurred following the 2015 insurance expansion; by 2023, IMRT utilization reached 17.5%, while 3D-CRT declined to 0.3%. A sharp increase in mean fraction count was identified in 2012, with mean fractions rising from < 8 to > 16, indicating a marked shift in fractionation practice. In survival analysis, RT groups showed higher hazard ratios (HRs) for mortality (3D-CRT: 1.24; IMRT: 1.32), reflecting confounding by indication where RT was reserved for high-risk patients. However, in the non-surgery subgroup, IMRT was associated with a lower mortality risk than 3D-CRT (HR 1.20 vs. 1.25). Similarly, in pediatric patients, IMRT demonstrated a lower HR compared with 3D-CRT (3.35 vs. 4.19).

conclusionRT for STS in Korea has transitioned to an IMRT-centered paradigm, catalyzed by supportive insurance policies. In non-surgery and pediatric cases, IMRT showed a lower HR than 3D-CRT, though this hypothesis-generating finding does not establish a survival benefit.

Indexed as

Radiotherapy, ConformalRadiotherapy, Intensity-ModulatedSarcomaAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansIncidenceInfantMaleMiddle AgedProportional Hazards Modelsintensity‐modulated radiotherapyNational Health Insurance Servicesoft tissue sarcomasurvival analysis

Identifiers

PMID42782061
PMCPMC13602972

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.