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Dosimetric predictors and Lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation

PURPOSE: To identify dosimetric parameters associated with acute hematological toxicity (HT) and identify the corresponding normal tissue complication probability (NTCP) model in cervical cancer patients receiving helical tomotherapy (Tomo) or fixed‐field intensity‐modulated radiation therapy (ff‐IM...

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Autores principales: Wang, Dandan, Yin, Yueju, Zhou, Qichao, Li, Zirong, Ma, Xingmin, Yin, Yong, Li, Baosheng, Bai, Tong, Li, Dapeng, Zhu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299660/
https://www.ncbi.nlm.nih.gov/pubmed/34800297
http://dx.doi.org/10.1002/mp.15365
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author Wang, Dandan
Yin, Yueju
Zhou, Qichao
Li, Zirong
Ma, Xingmin
Yin, Yong
Li, Baosheng
Bai, Tong
Li, Dapeng
Zhu, Jian
author_facet Wang, Dandan
Yin, Yueju
Zhou, Qichao
Li, Zirong
Ma, Xingmin
Yin, Yong
Li, Baosheng
Bai, Tong
Li, Dapeng
Zhu, Jian
author_sort Wang, Dandan
collection PubMed
description PURPOSE: To identify dosimetric parameters associated with acute hematological toxicity (HT) and identify the corresponding normal tissue complication probability (NTCP) model in cervical cancer patients receiving helical tomotherapy (Tomo) or fixed‐field intensity‐modulated radiation therapy (ff‐IMRT) in combination with chemotherapy, that is, concurrent chemoradiotherapy (CCRT) using the Lyman–Kutcher–Burman normal tissue complication probability (LKB‐NTCP) model. METHODS: Data were collected from 232 cervical cancer patients who received Tomo or ff‐IMRT from 2015 to 2018. The pelvic bone marrow (PBM) (including the ilium, pubes, ischia, acetabula, proximal femora, and lumbosacral spine) was contoured from the superior boundary (usually the lumbar 5 vertebra) of the planning target volume (PTV) to the proximal end of the femoral head (the lower edge of the ischial tubercle). The parameters of the LKB model predicting ≥grade 2 hematological toxicity (Radiation Therapy Oncology Group [RTOG] grading criteria) (TD (50)(1), m, and n) were determined using maximum likelihood analyses. Univariate and multivariate logistic regression analyses were used to identify correlations between dose–volume parameters and the clinical factors of HT. RESULTS: In total, 212 (91.37%) patients experienced ≥grade 2 hematological toxicity. The fitted normal tissue complication probability model parameters were TD (50)(1) = 38.90 Gy (95%CI, [36.94, 40.96]), m = 0.13 (95%CI [0.12, 0.16]), and n = 0.04 (95%CI [0.02, 0.05]). Per the univariate analysis, the NTCP (the use of LKB‐NTCP with the set of model parameters found, p = 0.023), maximal PBM dose (p = 0.01), mean PBM dose (p = 0.021), radiation dose (p = 0.001), and V (16–53) (p < 0. 05) were associated with ≥grade 2 HT. The NTCP (the use of LKB‐NTCP with the set of model parameters found, p = 0.023; AUC = 0.87), V (16,) V (17,) and V (18) ≥ 79.65%, 75.68%, and 72.65%, respectively (p < 0.01, AUC = 0.66∼0.68), V (35) and V (36) ≥ 30.35% and 28.56%, respectively (p < 0.05; AUC = 0.71), and V (47) ≥ 13.43% (p = 0.045; AUC = 0.80) were significant predictors of ≥grade 2 hematological toxicity from the multivariate logistic regression analysis. CONCLUSIONS: The volume of the PBM of patients treated with concurrent chemoradiotherapy and subjected to both low‐dose (V (16–18)) and high‐dose (V (35,36) and V (47)) irradiation was associated with hematological toxicity, depending on the fractional volumes receiving the variable degree of dosage. The NTCP were stronger predictors of toxicity than V (16–18), V (35, 36), and V (47). Hence, avoiding radiation hot spots on the PBM could reduce the incidence of severe HT.
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spelling pubmed-92996602022-07-21 Dosimetric predictors and Lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation Wang, Dandan Yin, Yueju Zhou, Qichao Li, Zirong Ma, Xingmin Yin, Yong Li, Baosheng Bai, Tong Li, Dapeng Zhu, Jian Med Phys BIOLOGICAL PHYSICS AND RESPONSE PREDICTION PURPOSE: To identify dosimetric parameters associated with acute hematological toxicity (HT) and identify the corresponding normal tissue complication probability (NTCP) model in cervical cancer patients receiving helical tomotherapy (Tomo) or fixed‐field intensity‐modulated radiation therapy (ff‐IMRT) in combination with chemotherapy, that is, concurrent chemoradiotherapy (CCRT) using the Lyman–Kutcher–Burman normal tissue complication probability (LKB‐NTCP) model. METHODS: Data were collected from 232 cervical cancer patients who received Tomo or ff‐IMRT from 2015 to 2018. The pelvic bone marrow (PBM) (including the ilium, pubes, ischia, acetabula, proximal femora, and lumbosacral spine) was contoured from the superior boundary (usually the lumbar 5 vertebra) of the planning target volume (PTV) to the proximal end of the femoral head (the lower edge of the ischial tubercle). The parameters of the LKB model predicting ≥grade 2 hematological toxicity (Radiation Therapy Oncology Group [RTOG] grading criteria) (TD (50)(1), m, and n) were determined using maximum likelihood analyses. Univariate and multivariate logistic regression analyses were used to identify correlations between dose–volume parameters and the clinical factors of HT. RESULTS: In total, 212 (91.37%) patients experienced ≥grade 2 hematological toxicity. The fitted normal tissue complication probability model parameters were TD (50)(1) = 38.90 Gy (95%CI, [36.94, 40.96]), m = 0.13 (95%CI [0.12, 0.16]), and n = 0.04 (95%CI [0.02, 0.05]). Per the univariate analysis, the NTCP (the use of LKB‐NTCP with the set of model parameters found, p = 0.023), maximal PBM dose (p = 0.01), mean PBM dose (p = 0.021), radiation dose (p = 0.001), and V (16–53) (p < 0. 05) were associated with ≥grade 2 HT. The NTCP (the use of LKB‐NTCP with the set of model parameters found, p = 0.023; AUC = 0.87), V (16,) V (17,) and V (18) ≥ 79.65%, 75.68%, and 72.65%, respectively (p < 0.01, AUC = 0.66∼0.68), V (35) and V (36) ≥ 30.35% and 28.56%, respectively (p < 0.05; AUC = 0.71), and V (47) ≥ 13.43% (p = 0.045; AUC = 0.80) were significant predictors of ≥grade 2 hematological toxicity from the multivariate logistic regression analysis. CONCLUSIONS: The volume of the PBM of patients treated with concurrent chemoradiotherapy and subjected to both low‐dose (V (16–18)) and high‐dose (V (35,36) and V (47)) irradiation was associated with hematological toxicity, depending on the fractional volumes receiving the variable degree of dosage. The NTCP were stronger predictors of toxicity than V (16–18), V (35, 36), and V (47). Hence, avoiding radiation hot spots on the PBM could reduce the incidence of severe HT. John Wiley and Sons Inc. 2021-12-10 2022-01 /pmc/articles/PMC9299660/ /pubmed/34800297 http://dx.doi.org/10.1002/mp.15365 Text en © 2021 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle BIOLOGICAL PHYSICS AND RESPONSE PREDICTION
Wang, Dandan
Yin, Yueju
Zhou, Qichao
Li, Zirong
Ma, Xingmin
Yin, Yong
Li, Baosheng
Bai, Tong
Li, Dapeng
Zhu, Jian
Dosimetric predictors and Lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation
title Dosimetric predictors and Lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation
title_full Dosimetric predictors and Lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation
title_fullStr Dosimetric predictors and Lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation
title_full_unstemmed Dosimetric predictors and Lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation
title_short Dosimetric predictors and Lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation
title_sort dosimetric predictors and lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation
topic BIOLOGICAL PHYSICS AND RESPONSE PREDICTION
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299660/
https://www.ncbi.nlm.nih.gov/pubmed/34800297
http://dx.doi.org/10.1002/mp.15365
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