Investigating the loco-regional control of simultaneous integrated boost intensity-modulated radiotherapy with different radiation fraction sizes for locally advanced non-small-cell lung cancer: clinical outcomes and the application of an extended LQ/TCP model
Abstract Background To investigate the loco-regional progression-free survival (LPFS) of intensity-modulated radiotherapy (IMRT) with different fraction sizes for locally advanced non-small-cell lung cancer (LANSCLC), and to apply a new radiobiological model for tumor control probability (TCP). Meth...
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| Format: | Article |
| Language: | English |
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BMC
2020-05-01
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| Series: | Radiation Oncology |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13014-020-01555-x |
| _version_ | 1828402238670766080 |
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| author | Bo Qiu Qi Wen Li Xin Lei Ai Bin Wang Jian Huan Zheng Fei Zhu Gen Hua Yu Ming Ji Hai Hang Jiang Cheng Li Jun Zhang Li Chen Jin Yu Guo Yin Zhou Hui Liu |
| author_facet | Bo Qiu Qi Wen Li Xin Lei Ai Bin Wang Jian Huan Zheng Fei Zhu Gen Hua Yu Ming Ji Hai Hang Jiang Cheng Li Jun Zhang Li Chen Jin Yu Guo Yin Zhou Hui Liu |
| author_sort | Bo Qiu |
| collection | DOAJ |
| description | Abstract Background To investigate the loco-regional progression-free survival (LPFS) of intensity-modulated radiotherapy (IMRT) with different fraction sizes for locally advanced non-small-cell lung cancer (LANSCLC), and to apply a new radiobiological model for tumor control probability (TCP). Methods One hundred and three LANSCLC patients treated with concurrent radiochemotherapy were retrospectively analyzed. Factors potentially predictive of LPFS were assessed in the univariate and multivariate analysis. Patients were divided into group A (2.0 ≤ fraction size<2.2Gy), B (2.2 ≤ fraction size<2.5Gy), and C (2.5 ≤ fraction size≤3.1Gy) according to the tertiles of fraction size. A novel LQRG/TCP model, incorporating four “R”s of radiobiology and Gompertzian tumor growth, was developed to predict LPFS and compared with the classical LQ/TCP model. Results With a median follow-up of 22.1 months, the median LPFS was 23.8 months. Fraction size was independently prognostic of LPFS. The median LPFS of group A, B and C was 13.8, 35.7 months and not reached, respectively. Using the new LQRG/TCP model, the average absolute and relative fitting errors for LPFS were 6.9 and 19.6% for group A, 5.5 and 8.8% for group B, 6.6 and 9.5% for group C, compared with 9.5 and 29.4% for group A, 16.6 and 36.7% for group B, 24.8 and 39.1% for group C using the conventional LQ/TCP model. Conclusions Hypo-fractionated IMRT could be an effective approach for dose intensification in LANSCLC. Compared with conventional LQ model, the LQRG model showed a better performance in predicting follow-up time dependent LPFS. |
| first_indexed | 2024-12-10T09:57:52Z |
| format | Article |
| id | doaj.art-8a47b5f8c18c426eab367b25826179a5 |
| institution | Directory Open Access Journal |
| issn | 1748-717X |
| language | English |
| last_indexed | 2024-12-10T09:57:52Z |
| publishDate | 2020-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Radiation Oncology |
| spelling | doaj.art-8a47b5f8c18c426eab367b25826179a52022-12-22T01:53:25ZengBMCRadiation Oncology1748-717X2020-05-0115111010.1186/s13014-020-01555-xInvestigating the loco-regional control of simultaneous integrated boost intensity-modulated radiotherapy with different radiation fraction sizes for locally advanced non-small-cell lung cancer: clinical outcomes and the application of an extended LQ/TCP modelBo Qiu0Qi Wen Li1Xin Lei Ai2Bin Wang3Jian Huan4Zheng Fei Zhu5Gen Hua Yu6Ming Ji7Hai Hang Jiang8Cheng Li9Jun Zhang10Li Chen11Jin Yu Guo12Yin Zhou13Hui Liu14Department of Radiation Oncology, Sun Yat-sen University Cancer CenterDepartment of Radiation Oncology, Sun Yat-sen University Cancer CenterDepartment of Radiation Oncology, Sun Yat-sen University Cancer CenterDepartment of Radiation Oncology, Sun Yat-sen University Cancer CenterDepartment of Radiation Oncology, The Affilicated Suzhou Science&Technology Town Hospital of Nanjing Medical UniversityDepartment of Radiation Oncology, Fudan University Shanghai Cancer CenterDepartment of Radiation Oncology, Zhebei Mingzhou HospitalEvidance Medical Technologies Inc.Evidance Medical Technologies Inc.Homology Medical Technologies Inc.Department of Radiation Oncology, Sun Yat-sen University Cancer CenterDepartment of Radiation Oncology, Sun Yat-sen University Cancer CenterDepartment of Radiation Oncology, Sun Yat-sen University Cancer CenterEvidance Medical Technologies Inc.Department of Radiation Oncology, Sun Yat-sen University Cancer CenterAbstract Background To investigate the loco-regional progression-free survival (LPFS) of intensity-modulated radiotherapy (IMRT) with different fraction sizes for locally advanced non-small-cell lung cancer (LANSCLC), and to apply a new radiobiological model for tumor control probability (TCP). Methods One hundred and three LANSCLC patients treated with concurrent radiochemotherapy were retrospectively analyzed. Factors potentially predictive of LPFS were assessed in the univariate and multivariate analysis. Patients were divided into group A (2.0 ≤ fraction size<2.2Gy), B (2.2 ≤ fraction size<2.5Gy), and C (2.5 ≤ fraction size≤3.1Gy) according to the tertiles of fraction size. A novel LQRG/TCP model, incorporating four “R”s of radiobiology and Gompertzian tumor growth, was developed to predict LPFS and compared with the classical LQ/TCP model. Results With a median follow-up of 22.1 months, the median LPFS was 23.8 months. Fraction size was independently prognostic of LPFS. The median LPFS of group A, B and C was 13.8, 35.7 months and not reached, respectively. Using the new LQRG/TCP model, the average absolute and relative fitting errors for LPFS were 6.9 and 19.6% for group A, 5.5 and 8.8% for group B, 6.6 and 9.5% for group C, compared with 9.5 and 29.4% for group A, 16.6 and 36.7% for group B, 24.8 and 39.1% for group C using the conventional LQ/TCP model. Conclusions Hypo-fractionated IMRT could be an effective approach for dose intensification in LANSCLC. Compared with conventional LQ model, the LQRG model showed a better performance in predicting follow-up time dependent LPFS.http://link.springer.com/article/10.1186/s13014-020-01555-xLocally advanced non-small-cell lung cancerLoco-regional progression-free survivalFraction sizeHypo-fractionationTumor control probability model |
| spellingShingle | Bo Qiu Qi Wen Li Xin Lei Ai Bin Wang Jian Huan Zheng Fei Zhu Gen Hua Yu Ming Ji Hai Hang Jiang Cheng Li Jun Zhang Li Chen Jin Yu Guo Yin Zhou Hui Liu Investigating the loco-regional control of simultaneous integrated boost intensity-modulated radiotherapy with different radiation fraction sizes for locally advanced non-small-cell lung cancer: clinical outcomes and the application of an extended LQ/TCP model Radiation Oncology Locally advanced non-small-cell lung cancer Loco-regional progression-free survival Fraction size Hypo-fractionation Tumor control probability model |
| title | Investigating the loco-regional control of simultaneous integrated boost intensity-modulated radiotherapy with different radiation fraction sizes for locally advanced non-small-cell lung cancer: clinical outcomes and the application of an extended LQ/TCP model |
| title_full | Investigating the loco-regional control of simultaneous integrated boost intensity-modulated radiotherapy with different radiation fraction sizes for locally advanced non-small-cell lung cancer: clinical outcomes and the application of an extended LQ/TCP model |
| title_fullStr | Investigating the loco-regional control of simultaneous integrated boost intensity-modulated radiotherapy with different radiation fraction sizes for locally advanced non-small-cell lung cancer: clinical outcomes and the application of an extended LQ/TCP model |
| title_full_unstemmed | Investigating the loco-regional control of simultaneous integrated boost intensity-modulated radiotherapy with different radiation fraction sizes for locally advanced non-small-cell lung cancer: clinical outcomes and the application of an extended LQ/TCP model |
| title_short | Investigating the loco-regional control of simultaneous integrated boost intensity-modulated radiotherapy with different radiation fraction sizes for locally advanced non-small-cell lung cancer: clinical outcomes and the application of an extended LQ/TCP model |
| title_sort | investigating the loco regional control of simultaneous integrated boost intensity modulated radiotherapy with different radiation fraction sizes for locally advanced non small cell lung cancer clinical outcomes and the application of an extended lq tcp model |
| topic | Locally advanced non-small-cell lung cancer Loco-regional progression-free survival Fraction size Hypo-fractionation Tumor control probability model |
| url | http://link.springer.com/article/10.1186/s13014-020-01555-x |
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