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Acute hematologic toxicity of radiation therapy – a comprehensive analysis and predictive nomogram

To investigate radiation-induced cytopenia and establish predictive nomograms for hematological toxicity, we reviewed 3786 patients aged 18 or older who received radiation monotherapy between 2010 and 2021 for non-hematologic malignancies. We collected data on patient background, treatment content a...

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Autores principales: Takeda, Kazuya, Umezawa, Rei, Yamamoto, Takaya, Takahashi, Noriyoshi, Suzuki, Yu, Kishida, Keita, Omata, So, Jingu, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665302/
https://www.ncbi.nlm.nih.gov/pubmed/37740569
http://dx.doi.org/10.1093/jrr/rrad069
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author Takeda, Kazuya
Umezawa, Rei
Yamamoto, Takaya
Takahashi, Noriyoshi
Suzuki, Yu
Kishida, Keita
Omata, So
Jingu, Keiichi
author_facet Takeda, Kazuya
Umezawa, Rei
Yamamoto, Takaya
Takahashi, Noriyoshi
Suzuki, Yu
Kishida, Keita
Omata, So
Jingu, Keiichi
author_sort Takeda, Kazuya
collection PubMed
description To investigate radiation-induced cytopenia and establish predictive nomograms for hematological toxicity, we reviewed 3786 patients aged 18 or older who received radiation monotherapy between 2010 and 2021 for non-hematologic malignancies. We collected data on patient background, treatment content and hematologic toxicities for 12 weeks after the start of radiotherapy. The patients were randomly divided into training and test groups in 7:3 ratio. In the training group, we conducted ordered logistic regression analysis to identify predictive factors for neutropenia, lymphocytopenia, anemia and thrombocytopenia. Nomograms to predict Grade 2–4 cytopenia were generated and validated in the test group. Grade 3 or higher hematologic toxicities were observed in 9.7, 44.6, 8.3 and 3.1% of patients with neutropenia, lymphocytopenia, anemia and thrombocytopenia, respectively. We identified six factors for neutropenia grade, nine for lymphocytopenia grade and six for anemia grade with statistical significance. In the analysis of thrombocytopenia, the statistical model did not converge because of a small number of events. Nomograms were generated using factors with high predictive power. In evaluating the nomograms, we found high area under the receiver operating characteristic curve values (neutropenia; 0.75–0.85, lymphopenia; 0.89–0.91 and anemia; 0.85–0.86) in predicting Grade 2–4 cytopenia in the test group. We established predictive nomograms for neutropenia, leukocytopenia and anemia and demonstrated high reproducibility when validated in an independent cohort of patients.
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spelling pubmed-106653022023-09-22 Acute hematologic toxicity of radiation therapy – a comprehensive analysis and predictive nomogram Takeda, Kazuya Umezawa, Rei Yamamoto, Takaya Takahashi, Noriyoshi Suzuki, Yu Kishida, Keita Omata, So Jingu, Keiichi J Radiat Res Regular paper To investigate radiation-induced cytopenia and establish predictive nomograms for hematological toxicity, we reviewed 3786 patients aged 18 or older who received radiation monotherapy between 2010 and 2021 for non-hematologic malignancies. We collected data on patient background, treatment content and hematologic toxicities for 12 weeks after the start of radiotherapy. The patients were randomly divided into training and test groups in 7:3 ratio. In the training group, we conducted ordered logistic regression analysis to identify predictive factors for neutropenia, lymphocytopenia, anemia and thrombocytopenia. Nomograms to predict Grade 2–4 cytopenia were generated and validated in the test group. Grade 3 or higher hematologic toxicities were observed in 9.7, 44.6, 8.3 and 3.1% of patients with neutropenia, lymphocytopenia, anemia and thrombocytopenia, respectively. We identified six factors for neutropenia grade, nine for lymphocytopenia grade and six for anemia grade with statistical significance. In the analysis of thrombocytopenia, the statistical model did not converge because of a small number of events. Nomograms were generated using factors with high predictive power. In evaluating the nomograms, we found high area under the receiver operating characteristic curve values (neutropenia; 0.75–0.85, lymphopenia; 0.89–0.91 and anemia; 0.85–0.86) in predicting Grade 2–4 cytopenia in the test group. We established predictive nomograms for neutropenia, leukocytopenia and anemia and demonstrated high reproducibility when validated in an independent cohort of patients. Oxford University Press 2023-09-22 /pmc/articles/PMC10665302/ /pubmed/37740569 http://dx.doi.org/10.1093/jrr/rrad069 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Regular paper
Takeda, Kazuya
Umezawa, Rei
Yamamoto, Takaya
Takahashi, Noriyoshi
Suzuki, Yu
Kishida, Keita
Omata, So
Jingu, Keiichi
Acute hematologic toxicity of radiation therapy – a comprehensive analysis and predictive nomogram
title Acute hematologic toxicity of radiation therapy – a comprehensive analysis and predictive nomogram
title_full Acute hematologic toxicity of radiation therapy – a comprehensive analysis and predictive nomogram
title_fullStr Acute hematologic toxicity of radiation therapy – a comprehensive analysis and predictive nomogram
title_full_unstemmed Acute hematologic toxicity of radiation therapy – a comprehensive analysis and predictive nomogram
title_short Acute hematologic toxicity of radiation therapy – a comprehensive analysis and predictive nomogram
title_sort acute hematologic toxicity of radiation therapy – a comprehensive analysis and predictive nomogram
topic Regular paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665302/
https://www.ncbi.nlm.nih.gov/pubmed/37740569
http://dx.doi.org/10.1093/jrr/rrad069
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