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서지반출
Postoperative chemoradiotherapy in high risk locally advanced gastric cancer
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  • Postoperative chemoradiotherapy in high risk locally advanced gastric cancer
  • Postoperative chemoradiotherapy in high risk locally advanced gastric cancer
저자명
Song. Sanghyuk,Chie. Eui Kyu,Kim. Kyubo,Lee. Hyuk-Joon,Yang. Han-Kwang,Han. Sae-Won,Oh. Do-Youn,Im. Seock-Ah,Bang. Yung-Jue,Ha.
간행물명
Radiation oncology journal : ROJ
권/호정보
2012년|30권 4호|pp.213-217 (5 pages)
발행정보
대한방사선종양학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Purpose: To evaluate treatment outcome of patients with high risk locally advanced gastric cancer after postoperative chemoradiotherapy. Materials and Methods: Between May 2003 and May 2012, thirteen patients who underwent postoperative chemoradiotherapy for gastric cancer with resection margin involvement or adjacent structure invasion were retrospectively analyzed. Concurrent chemotherapy was administered in 10 patients. Median dose of radiation was 50.4 Gy (range, 45 to 55.8 Gy). Results: The median follow-up duration for surviving patients was 48 months (range, 5 to 108 months). The 5-year overall survival rate was 42% and the 5-year disease-free survival rate was 28%. Major pattern of failure was peritoneal seeding with 46%. Locoregional recurrence was reported in only one patient. Grade 2 or higher gastrointestinal toxicity occurred in 54% of the patients. However, there was only one patient with higher than grade 3 toxicity. Conclusion: Despite reported suggested role of adjuvant radiotherapy with combination chemotherapy in gastric cancer, only very small portion of the patients underwent the treatment. Results from this study show that postoperative chemoradiotherapy provided excellent locoregional control with acceptable and manageable treatment related toxicity in patients with high risk locally advanced gastric cancer. Thus, postoperative chemoradiotherapy may improve treatment result in terms of locoregional control in these high risk patients. However, as these findings are based on small series, validation with larger cohort is suggested.