Normal tissue complication probability model for severe radiation-induced lymphopenia in patients with pancreatic cancer treated with concurrent chemoradiotherapy

Koizumi, Fuki; Katoh, Norio; Kanehira, Takahiro et al.

Physics and imaging in radiation oncology, 2024, 33, 100690

Permalink : https://hdl.handle.net/2115/93913

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論文情報

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アクセス権
open access
URI
https://hdl.handle.net/2115/93913
タイトル
Normal tissue complication probability model for severe radiation-induced lymphopenia in patients with pancreatic cancer treated with concurrent chemoradiotherapy
著者
Koizumi, Fuki ; Katoh, Norio ; Kanehira, Takahiro ; Kawamoto, Yasuyuki ; Nakamura, Toru ; Kakisaka, Tatsuhiko ; Myojin, Miyako ; Nishiyama, Noriaki ; Yonesaka, Akio ; Otsuka, Manami ; Takashina, Rikiya ; Minatogawa, Hideki ; Higaki, Hajime ; Uchinami, Yusuke ; Taguchi, Hiroshi ; Nishioka, Kentaro ; Yasuda, Koichi ; Miyamoto, Naoki ; Yokota, Isao ; Kobashi, Keiji ; Aoyama, Hidefumi
著者名
Koizumi, Fuki
e-Rad_Researcher
80572495
著者名
Katoh, Norio
著者名
Kanehira, Takahiro
著者名
Kawamoto, Yasuyuki
著者名
Nakamura, Toru
著者名
Kakisaka, Tatsuhiko
著者名
Myojin, Miyako
著者名
Nishiyama, Noriaki
著者名
Yonesaka, Akio
著者名
Otsuka, Manami
著者名
Takashina, Rikiya
著者名
Minatogawa, Hideki
著者名
Higaki, Hajime
著者名
Uchinami, Yusuke
著者名
Taguchi, Hiroshi
e-Rad_Researcher
80463743
著者名
Nishioka, Kentaro
e-Rad_Researcher
00431362
著者名
Yasuda, Koichi
著者名
Miyamoto, Naoki
e-Rad_Researcher
20761414
著者名
Yokota, Isao
著者名
Kobashi, Keiji
e-Rad_Researcher
80360915
著者名
Aoyama, Hidefumi
言語
英語
キーワード
Radiation-induced lymphopenia
Normal tissue complication probability model
Pancreatic cancer
Absolute lymphocyte count
Concurrent chemoradiotherapy
Kidney dose
発行日
2024-12-22
収録物名
Physics and imaging in radiation oncology
巻(号)
33
ページ
100690
抄録
Background and purpose Radiation-induced lymphopenia (RIL) may be associated with a worse prognosis in pancreatic cancer. This study aimed to develop a normal tissue complication probability (NTCP) model to predict severe RIL in patients with pancreatic cancer undergoing concurrent chemoradiotherapy (CCRT). Materials and methods We reviewed pancreatic cancer patients treated at our facility for model training and internal validation. Subsequently, we reviewed data from three other facilities to validate model fit externally. An absolute lymphocyte count (ALC) of ＜0.5 × 103/μL during CCRT was defined as severe RIL. An NTCP model was trained using a least absolute shrinkage and selection operator (LASSO)-based logistic model. The model’s predictive performance was evaluated using the receiver operating characteristic area under the curve (AUC), scaled Brier score, and calibration plots. Results Among the 114 patients in the training set, 78 had severe RIL. LASSO showed that low baseline ALC, large planning target volume, and high percentage of bilateral kidneys receiving ≥ 5Gy were selected as parameters of the NTCP model for severe RIL. The AUC and scaled Brier score were 0.91 and 0.49, respectively. Internal validation yielded an average AUC of 0.92. In the external validation with 68 patients, the AUC and scaled Brier score was 0.83 and 0.30, respectively. Calibration plots showed good conformity. Conclusions The NTCP model for severe RIL during CCRT for pancreatic cancer, developed and validated in this study, demonstrated good predictive performance. This model can be used to evaluate and compare the risk of RIL.
資源タイプ
学術雑誌論文
出版タイプ
Version of Record
権利情報
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
PISSN
2405-6316
関連情報 (isIdenticalTo)
出版社版DOI
https://doi.org/10.1016/j.phro.2024.100690