본문으로 건너뛰기
← 뒤로

Comprehensive Analysis of Data From a Nationwide Japanese Cohort on Particle Therapy for Metastatic Liver Tumors.

1/5 보강
International journal of radiation oncology, biology, physics 📖 저널 OA 15.5% 2024: 1/2 OA 2025: 12/62 OA 2026: 15/121 OA 2024~2026 2025 Vol.123(5) p. 1316-1322
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
223 patients (local only, 43; distant only, 163; both, 17).
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] PT is expected to provide excellent LC and low rates of serious adverse events for metastatic liver tumors. Promising OS rates, particularly in cases of colorectal and breast cancer, suggest that PT offers a survival advantage to carefully selected patients.

Fukumitsu N, Shiba S, Shibuya K, Kobayashi D, Miyasaka Y, Yamaguchi H

📝 환자 설명용 한 줄

[PURPOSE] This study evaluated the efficacy and safety of particle therapy (PT) for treating metastatic liver tumors.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value P = .002
  • p-value P = .02
  • 연구 설계 cohort study

이 논문을 인용하기

↓ .bib ↓ .ris
APA Fukumitsu N, Shiba S, et al. (2025). Comprehensive Analysis of Data From a Nationwide Japanese Cohort on Particle Therapy for Metastatic Liver Tumors.. International journal of radiation oncology, biology, physics, 123(5), 1316-1322. https://doi.org/10.1016/j.ijrobp.2025.07.1433
MLA Fukumitsu N, et al.. "Comprehensive Analysis of Data From a Nationwide Japanese Cohort on Particle Therapy for Metastatic Liver Tumors.." International journal of radiation oncology, biology, physics, vol. 123, no. 5, 2025, pp. 1316-1322.
PMID 40720997 ↗

Abstract

[PURPOSE] This study evaluated the efficacy and safety of particle therapy (PT) for treating metastatic liver tumors. Conducted by the Japanese Society for Radiation Oncology, this nationwide, multi-institutional analysis examined PT outcomes, including overall survival (OS) rates and adverse events, to determine its potential as a treatment option for patients with limited liver metastases.

[METHODS AND MATERIALS] This nationwide, multi-institutional prospective cohort included patients treated with proton beam therapy and carbon-ion radiation therapy between 2016 and 2019. This is a retrospective cohort study utilizing registry data of metastatic liver tumors. PT dose schedules used varied based on tumor location. Outcomes assessed included OS, progression-free survival (PFS), local control (LC), and late treatment-related toxicities of grade ≥3.

[RESULTS] Among 322 eligible patients, the 2- and 5-year estimated OS rates were 55.7% and 32.8%, respectively, with a median survival time (MST) of 28.6 months. Patients with single lesions, particularly those with colorectal or breast cancer, demonstrated higher survival rates than those with multiple lesions. Patients with smaller tumors (<5 cm), especially in colorectal, pancreatic, gastric, and esophageal cancers, also showed improved survival compared with those with tumors ≥5 cm. Cox proportional hazards model analysis showed significant difference in maximal tumor diameter in colorectal cancer and pancreatic cancer (both P = .002) and number of lesions in breast cancer (P = .02). In a condition-specific subgroup analysis, MST exceeded 5 years in patients with breast cancer who had a single lesion or who did not receive concurrent systemic therapy. The 2- and estimated 5-year PFS rates were 23.5% and 12.8%, respectively, with MST of 9 months. The 2- and estimated 5-year LC rates were 74.3% and 66.4%, respectively. Recurrence was observed in 223 patients (local only, 43; distant only, 163; both, 17). Adverse events occurred in 3.1% of patients, primarily dermatitis and hepatobiliary disorders, with no grade 5 toxicities observed.

[CONCLUSIONS] PT is expected to provide excellent LC and low rates of serious adverse events for metastatic liver tumors. Promising OS rates, particularly in cases of colorectal and breast cancer, suggest that PT offers a survival advantage to carefully selected patients.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

같은 제1저자의 인용 많은 논문 (1)

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반