Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1784751025765220352 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9299660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wangdandan dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation AT yinyueju dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation AT zhouqichao dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation AT lizirong dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation AT maxingmin dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation AT yinyong dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation AT libaosheng dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation AT baitong dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation AT lidapeng dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation AT zhujian dosimetricpredictorsandlymannormaltissuecomplicationprobabilitymodelofhematologicaltoxicityincervicalcancerpatientswithtreatedwithpelvicirradiation |