Test the Effectiveness of Quantitative Linear-Quadratic-Based (qLQB) Model on Evaluating Irradiation-Induced Liver Injury (ILI) Against Normal Tissue Complication Probability (NTCP)
Objectives: To test the effectiveness of quantitative linear-quadratic-based (qLQB) model on evaluating irradiation-induced liver injury (ILI) and establish the relation between the damaged ratio/percent (DRP) in qLQB model and normal tissue complication probility (NTCP). Materials and Methods: We e...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2020-09-01
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| Series: | Dose-Response |
| Online Access: | https://doi.org/10.1177/1559325820961721 |
| _version_ | 1818127123561316352 |
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| author | Han Bai Li Wang Wenhui Li Xuhong Liu Yaoxiong Xia Li Chang |
| author_facet | Han Bai Li Wang Wenhui Li Xuhong Liu Yaoxiong Xia Li Chang |
| author_sort | Han Bai |
| collection | DOAJ |
| description | Objectives: To test the effectiveness of quantitative linear-quadratic-based (qLQB) model on evaluating irradiation-induced liver injury (ILI) and establish the relation between the damaged ratio/percent (DRP) in qLQB model and normal tissue complication probility (NTCP). Materials and Methods: We established the qLQB model to calculate the ratio/percent (RP) between damaged cell/functional subunit (FSU) and entire cell/FSU of liver for radiation dose response, tested the qLQB against the Lyman-Kutcher-Burman (LKB) model, and established relation between the RP and NTCP through analyzing the dose of 32 patients with cancer of abdominal cavity who were treated with radiation therapy at our department. Based on varied α/β and varied parameters for NTCP, we put the calculated results into varied arrays for the next analysis. We named the 2 groups of RPs: RP1 (α/β = 3.0, α = 0.03) and RP2 (α/β = 8.0, α = 0.26), and named the 2 groups of NTCPs: NTCP1 (n = 0.32, m = 0.15, TD50(1) = 4000 cGy) and NTCP2 (n = 1.10, m = 0.28, TD50(1) = 4050 cGy). Results: Spearman correlation analysis was used to analyze the correlations among the groups, the results were as follows: RP1 vs NTCP1, rs = 0.83827, p < 0.0001; RP1 vs NTCP2, rs = 0.83827, p < 0.0001; RP2 vs NTCP2, rs = 0.79289, p < 0.0001; and RP2 vs NTCP1, rs = 0.79289, p < 0.0001. Conclusions: There is a significant correlation between RP value and NTCP for evaluating ILI, and there is no difference between qLQB model and LKB model on evaluating ILI. |
| first_indexed | 2024-12-11T07:12:21Z |
| format | Article |
| id | doaj.art-2c99b5fc405b43cbb7f70ea5a4c5f720 |
| institution | Directory Open Access Journal |
| issn | 1559-3258 |
| language | English |
| last_indexed | 2024-12-11T07:12:21Z |
| publishDate | 2020-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Dose-Response |
| spelling | doaj.art-2c99b5fc405b43cbb7f70ea5a4c5f7202022-12-22T01:16:19ZengSAGE PublishingDose-Response1559-32582020-09-011810.1177/1559325820961721Test the Effectiveness of Quantitative Linear-Quadratic-Based (qLQB) Model on Evaluating Irradiation-Induced Liver Injury (ILI) Against Normal Tissue Complication Probability (NTCP)Han Bai0Li Wang1Wenhui Li2Xuhong Liu3Yaoxiong Xia4Li Chang5 Department of Radiation Oncology, , Yunnan Tumor Hospital, Kunming, Yunnan, China Department of Radiation Oncology, , Yunnan Tumor Hospital, Kunming, Yunnan, China Department of Radiation Oncology, , Yunnan Tumor Hospital, Kunming, Yunnan, China Department of Radiation Oncology, , Yunnan Tumor Hospital, Kunming, Yunnan, China Department of Radiation Oncology, , Yunnan Tumor Hospital, Kunming, Yunnan, China Department of Radiation Oncology, , Yunnan Tumor Hospital, Kunming, Yunnan, ChinaObjectives: To test the effectiveness of quantitative linear-quadratic-based (qLQB) model on evaluating irradiation-induced liver injury (ILI) and establish the relation between the damaged ratio/percent (DRP) in qLQB model and normal tissue complication probility (NTCP). Materials and Methods: We established the qLQB model to calculate the ratio/percent (RP) between damaged cell/functional subunit (FSU) and entire cell/FSU of liver for radiation dose response, tested the qLQB against the Lyman-Kutcher-Burman (LKB) model, and established relation between the RP and NTCP through analyzing the dose of 32 patients with cancer of abdominal cavity who were treated with radiation therapy at our department. Based on varied α/β and varied parameters for NTCP, we put the calculated results into varied arrays for the next analysis. We named the 2 groups of RPs: RP1 (α/β = 3.0, α = 0.03) and RP2 (α/β = 8.0, α = 0.26), and named the 2 groups of NTCPs: NTCP1 (n = 0.32, m = 0.15, TD50(1) = 4000 cGy) and NTCP2 (n = 1.10, m = 0.28, TD50(1) = 4050 cGy). Results: Spearman correlation analysis was used to analyze the correlations among the groups, the results were as follows: RP1 vs NTCP1, rs = 0.83827, p < 0.0001; RP1 vs NTCP2, rs = 0.83827, p < 0.0001; RP2 vs NTCP2, rs = 0.79289, p < 0.0001; and RP2 vs NTCP1, rs = 0.79289, p < 0.0001. Conclusions: There is a significant correlation between RP value and NTCP for evaluating ILI, and there is no difference between qLQB model and LKB model on evaluating ILI.https://doi.org/10.1177/1559325820961721 |
| spellingShingle | Han Bai Li Wang Wenhui Li Xuhong Liu Yaoxiong Xia Li Chang Test the Effectiveness of Quantitative Linear-Quadratic-Based (qLQB) Model on Evaluating Irradiation-Induced Liver Injury (ILI) Against Normal Tissue Complication Probability (NTCP) Dose-Response |
| title | Test the Effectiveness of Quantitative Linear-Quadratic-Based (qLQB) Model on Evaluating Irradiation-Induced Liver Injury (ILI) Against Normal Tissue Complication Probability (NTCP) |
| title_full | Test the Effectiveness of Quantitative Linear-Quadratic-Based (qLQB) Model on Evaluating Irradiation-Induced Liver Injury (ILI) Against Normal Tissue Complication Probability (NTCP) |
| title_fullStr | Test the Effectiveness of Quantitative Linear-Quadratic-Based (qLQB) Model on Evaluating Irradiation-Induced Liver Injury (ILI) Against Normal Tissue Complication Probability (NTCP) |
| title_full_unstemmed | Test the Effectiveness of Quantitative Linear-Quadratic-Based (qLQB) Model on Evaluating Irradiation-Induced Liver Injury (ILI) Against Normal Tissue Complication Probability (NTCP) |
| title_short | Test the Effectiveness of Quantitative Linear-Quadratic-Based (qLQB) Model on Evaluating Irradiation-Induced Liver Injury (ILI) Against Normal Tissue Complication Probability (NTCP) |
| title_sort | test the effectiveness of quantitative linear quadratic based qlqb model on evaluating irradiation induced liver injury ili against normal tissue complication probability ntcp |
| url | https://doi.org/10.1177/1559325820961721 |
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