Effects of dose and dose-averaged linear energy transfer on pelvic insufficiency fractures after carbon-ion radiotherapy for uterine carcinoma

Autor: Yasumasa, Mori, Noriyuki, Okonogi, Shinnosuke, Matsumoto, Wataru, Furuichi, Mai, Fukahori, Yuhei, Miyasaka, Kazutoshi, Murata, Masaru, Wakatsuki, Reiko, Imai, Masashi, Koto, Shigeru, Yamada, Hitoshi, Ishikawa, Nobuyuki, Kanematsu, Hiroshi, Tsuji
Rok vydání: 2022
Předmět:
Zdroj: Radiotherapy and Oncology. 177:33-39
ISSN: 0167-8140
Popis: The correlation between dose-averaged linear energy transfer (LETd) and its therapeutic or adverse effects, especially in carbon-ion radiotherapy (CIRT), remains controversial. This study aimed to investigate the effects of LETd and dose on pelvic insufficiency fractures after CIRT.Among patients who underwent CIRT for uterine carcinoma, 101 who were followed up for 6 months without any other therapy were retrospectively analyzed. The sacrum insufficiency fractures (SIFs) were graded according to the Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer toxicity criteria. The correlations between the relative biological effectiveness (RBE)-weighted dose, LETd, physical dose, clinical factors, and SIFs were evaluated. In addition, we analyzed the association of SIF with LETd, physical dose, and clinical factors in cases where the sacrum D50% RBE-weighted dose was above the median dose.At the last follow-up, 19 patients developed SIFs. Receiver operating characteristic curve analysis revealed that the sacrum D50% RBE-weighted dose was a valuable predictor of SIF. Univariate analyses suggested that LETd V10 keV/µm, physical dose V5 Gy, and smoking status were associated with SIF. Cox regression analysis in patients over 50 years of age validated that current smoking habit was the sole risk factor for SIF. Therefore, LETd or physical dose parameters were not associated with SIF prediction.The sacrum D50% RBE-weighted dose was identified as a risk factor for SIF. Additionally, neither LETd nor physical dose parameters were associated with SIF prediction.
Databáze: OpenAIRE