| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2025-03-07 |
| タイトル |
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タイトル |
Development of Novel Nomograms to Predict 5- and 7-Year Biochemical-Recurrence-Free Survival in High-Risk Prostate Cancer Patients After Carbon-Ion Radiotherapy and Androgen Deprivation Therapy |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 著者 |
Utsumi Takanobu
Hiroyoshi Suzuki
Wakatsuki Masaru
Kobayashi Kana
Okato Atsushi
Nakajima Mio
Aoki Shuri
Sumiya Taisuke
Tomohiko Ichikawa
Koichiro Akakura
Tsuji Hiroshi
Yamada Shigeru
Ishikawa Hitoshi
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
Background: The aim of this study was to develop nomograms predicting 5-
and 7-year biochemical-recurrence (BCR)-free survival in high-risk prostate cancer (PCa) patients treated with carbon-ion radiotherapy (CIRT) and androgen deprivation therapy (ADT). Methods: We retrospectively evaluated 785 high-risk PCa patients treated with CIRT and ADT. Based on the least absolute shrinkage and selection operator model, two nomograms predicting 5- and 7-year BCR-free survival were developed and internally validated. The ability of each nomogram to predict BCR-free survival was determined by calculating the area under the survival curve (AUC). Results: The 5- and 7-year BCR-free survival rates were 92.1% and 89.3%, respectively. Age, prostate-specific antigen level,
clinical T stage, and Gleason score were incorporated into the nomogram redicting 5year BCR-free survival. In addition to these variables, the percentage of positive biopsy cores was also added to the nomogram predicting 7-year BCR-free survival. The AUC value of each nomogram showed suboptimal-to-good discrimination. Conclusions: We developed the first nomograms accurately predicting BCR-free survival in high-risk PCa patients treated with CIRT and ADT. These nomograms will enable adequate understanding and explanation of BCR-free survival to patients when clinicians use them. |
| 書誌情報 |
applied sciences
巻 15,
号 2,
発行日 2025-03
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| DOI |
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識別子タイプ |
DOI |
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関連識別子 |
10.3390/app15020804 |
