Biological optimization for mediastinal lymphoma radiotherapy - a preliminary study

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Biological optimization for mediastinal lymphoma radiotherapy - a preliminary study. / Rechner, Laura Ann; Modiri, Arezoo; Stick, Line Bjerregaard; Maraldo, Maja V.; Aznar, Marianne C.; Rice, Stephanie R.; Sawant, Amit; Bentzen, Soren M.; Vogelius, Ivan Richter; Specht, Lena.

In: Acta Oncologica, Vol. 59, No. 8, 27.03.2020, p. 879-887.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Rechner, LA, Modiri, A, Stick, LB, Maraldo, MV, Aznar, MC, Rice, SR, Sawant, A, Bentzen, SM, Vogelius, IR & Specht, L 2020, 'Biological optimization for mediastinal lymphoma radiotherapy - a preliminary study', Acta Oncologica, vol. 59, no. 8, pp. 879-887. https://doi.org/10.1080/0284186X.2020.1733654

APA

Rechner, L. A., Modiri, A., Stick, L. B., Maraldo, M. V., Aznar, M. C., Rice, S. R., Sawant, A., Bentzen, S. M., Vogelius, I. R., & Specht, L. (2020). Biological optimization for mediastinal lymphoma radiotherapy - a preliminary study. Acta Oncologica, 59(8), 879-887. https://doi.org/10.1080/0284186X.2020.1733654

Vancouver

Rechner LA, Modiri A, Stick LB, Maraldo MV, Aznar MC, Rice SR et al. Biological optimization for mediastinal lymphoma radiotherapy - a preliminary study. Acta Oncologica. 2020 Mar 27;59(8):879-887. https://doi.org/10.1080/0284186X.2020.1733654

Author

Rechner, Laura Ann ; Modiri, Arezoo ; Stick, Line Bjerregaard ; Maraldo, Maja V. ; Aznar, Marianne C. ; Rice, Stephanie R. ; Sawant, Amit ; Bentzen, Soren M. ; Vogelius, Ivan Richter ; Specht, Lena. / Biological optimization for mediastinal lymphoma radiotherapy - a preliminary study. In: Acta Oncologica. 2020 ; Vol. 59, No. 8. pp. 879-887.

Bibtex

@article{1c00c3835d02458fbe6cf66961752077,
title = "Biological optimization for mediastinal lymphoma radiotherapy - a preliminary study",
abstract = "Purpose: In current radiotherapy (RT) planning and delivery, population-based dose-volume constraints are used to limit the risk of toxicity from incidental irradiation of organs at risks (OARs). However, weighing tradeoffs between target coverage and doses to OARs (or prioritizing different OARs) in a quantitative way for each patient is challenging. We introduce a novel RT planning approach for patients with mediastinal Hodgkin lymphoma (HL) that aims to maximize overall outcome for each patient by optimizing on tumor control and mortality from late effects simultaneously. Material and Methods: We retrospectively analyzed 34 HL patients treated with conformal RT (3DCRT). We used published data to model recurrence and radiation-induced mortality from coronary heart disease and secondary lung and breast cancers. Patient-specific doses to the heart, lung, breast, and target were incorporated in the models as well as age, sex, and cardiac risk factors (CRFs). A preliminary plan of candidate beams was created for each patient in a commercial treatment planning system. From these candidate beams, outcome-optimized (O-OPT) plans for each patient were created with an in-house optimization code that minimized the individual risk of recurrence and mortality from late effects. O-OPT plans were compared to VMAT plans and clinical 3DCRT plans. Results: O-OPT plans generally had the lowest risk, followed by the clinical 3DCRT plans, then the VMAT plans with the highest risk with median (maximum) total risk values of 4.9 (11.1), 5.1 (17.7), and 7.6 (20.3)%, respectively (no CRFs). Compared to clinical 3DCRT plans, O-OPT planning reduced the total risk by at least 1% for 9/34 cases assuming no CRFs and 11/34 cases assuming presence of CRFs. Conclusions: We developed an individualized, outcome-optimized planning technique for HL. Some of the resulting plans were substantially different from clinical plans. The results varied depending on how risk models were defined or prioritized.",
keywords = "TREATMENT PLAN OPTIMIZATION, BREAST-CANCER RISK, RADIATION-THERAPY, HODGKIN LYMPHOMA, IMRT OPTIMIZATION, LUNG-CANCER, CHEMOTHERAPY, INTENSITY, DISEASE, PARAMETERS",
author = "Rechner, {Laura Ann} and Arezoo Modiri and Stick, {Line Bjerregaard} and Maraldo, {Maja V.} and Aznar, {Marianne C.} and Rice, {Stephanie R.} and Amit Sawant and Bentzen, {Soren M.} and Vogelius, {Ivan Richter} and Lena Specht",
year = "2020",
month = mar,
day = "27",
doi = "10.1080/0284186X.2020.1733654",
language = "English",
volume = "59",
pages = "879--887",
journal = "Acta Oncologica",
issn = "1100-1704",
publisher = "Taylor & Francis",
number = "8",

}

RIS

TY - JOUR

T1 - Biological optimization for mediastinal lymphoma radiotherapy - a preliminary study

AU - Rechner, Laura Ann

AU - Modiri, Arezoo

AU - Stick, Line Bjerregaard

AU - Maraldo, Maja V.

AU - Aznar, Marianne C.

AU - Rice, Stephanie R.

AU - Sawant, Amit

AU - Bentzen, Soren M.

AU - Vogelius, Ivan Richter

AU - Specht, Lena

PY - 2020/3/27

Y1 - 2020/3/27

N2 - Purpose: In current radiotherapy (RT) planning and delivery, population-based dose-volume constraints are used to limit the risk of toxicity from incidental irradiation of organs at risks (OARs). However, weighing tradeoffs between target coverage and doses to OARs (or prioritizing different OARs) in a quantitative way for each patient is challenging. We introduce a novel RT planning approach for patients with mediastinal Hodgkin lymphoma (HL) that aims to maximize overall outcome for each patient by optimizing on tumor control and mortality from late effects simultaneously. Material and Methods: We retrospectively analyzed 34 HL patients treated with conformal RT (3DCRT). We used published data to model recurrence and radiation-induced mortality from coronary heart disease and secondary lung and breast cancers. Patient-specific doses to the heart, lung, breast, and target were incorporated in the models as well as age, sex, and cardiac risk factors (CRFs). A preliminary plan of candidate beams was created for each patient in a commercial treatment planning system. From these candidate beams, outcome-optimized (O-OPT) plans for each patient were created with an in-house optimization code that minimized the individual risk of recurrence and mortality from late effects. O-OPT plans were compared to VMAT plans and clinical 3DCRT plans. Results: O-OPT plans generally had the lowest risk, followed by the clinical 3DCRT plans, then the VMAT plans with the highest risk with median (maximum) total risk values of 4.9 (11.1), 5.1 (17.7), and 7.6 (20.3)%, respectively (no CRFs). Compared to clinical 3DCRT plans, O-OPT planning reduced the total risk by at least 1% for 9/34 cases assuming no CRFs and 11/34 cases assuming presence of CRFs. Conclusions: We developed an individualized, outcome-optimized planning technique for HL. Some of the resulting plans were substantially different from clinical plans. The results varied depending on how risk models were defined or prioritized.

AB - Purpose: In current radiotherapy (RT) planning and delivery, population-based dose-volume constraints are used to limit the risk of toxicity from incidental irradiation of organs at risks (OARs). However, weighing tradeoffs between target coverage and doses to OARs (or prioritizing different OARs) in a quantitative way for each patient is challenging. We introduce a novel RT planning approach for patients with mediastinal Hodgkin lymphoma (HL) that aims to maximize overall outcome for each patient by optimizing on tumor control and mortality from late effects simultaneously. Material and Methods: We retrospectively analyzed 34 HL patients treated with conformal RT (3DCRT). We used published data to model recurrence and radiation-induced mortality from coronary heart disease and secondary lung and breast cancers. Patient-specific doses to the heart, lung, breast, and target were incorporated in the models as well as age, sex, and cardiac risk factors (CRFs). A preliminary plan of candidate beams was created for each patient in a commercial treatment planning system. From these candidate beams, outcome-optimized (O-OPT) plans for each patient were created with an in-house optimization code that minimized the individual risk of recurrence and mortality from late effects. O-OPT plans were compared to VMAT plans and clinical 3DCRT plans. Results: O-OPT plans generally had the lowest risk, followed by the clinical 3DCRT plans, then the VMAT plans with the highest risk with median (maximum) total risk values of 4.9 (11.1), 5.1 (17.7), and 7.6 (20.3)%, respectively (no CRFs). Compared to clinical 3DCRT plans, O-OPT planning reduced the total risk by at least 1% for 9/34 cases assuming no CRFs and 11/34 cases assuming presence of CRFs. Conclusions: We developed an individualized, outcome-optimized planning technique for HL. Some of the resulting plans were substantially different from clinical plans. The results varied depending on how risk models were defined or prioritized.

KW - TREATMENT PLAN OPTIMIZATION

KW - BREAST-CANCER RISK

KW - RADIATION-THERAPY

KW - HODGKIN LYMPHOMA

KW - IMRT OPTIMIZATION

KW - LUNG-CANCER

KW - CHEMOTHERAPY

KW - INTENSITY

KW - DISEASE

KW - PARAMETERS

U2 - 10.1080/0284186X.2020.1733654

DO - 10.1080/0284186X.2020.1733654

M3 - Journal article

C2 - 32216586

VL - 59

SP - 879

EP - 887

JO - Acta Oncologica

JF - Acta Oncologica

SN - 1100-1704

IS - 8

ER -

ID: 247439884