Abstract
Purpose
Methods and Materials
Results
Conclusions
Introduction
- Engert A.
- Schiller P.
- Josting A.
- et al.
- Chera B.S.
- Rodriguez C.
- Morris C.G.
- et al.
Methods and Materials
Patient selection
IMRT-BH planning
Free-breathing proton planning
Breath-hold proton planning
Delineation of organs at risk
Statistical analysis
Results
Patient characteristics
Characteristic | Patient no. (%) |
---|---|
Age, years, median (range) | 32 (24-44) |
Sex | |
Male | 6 (40) |
Female | 9 (60) |
Lymphoma subtype | |
Hodgkin | 12 (80) |
Marginal zone | 1 (7) |
PMBCL | 1 (7) |
T cell | 1 (7) |
Disease stage | |
IB | 1 (7) |
IIA | 6 (40) |
IIB | 5 (33) |
IIIB | 1 (7) |
Other | 2 (13) |
Bulky disease | |
Yes | 6 (40) |
No | 9 (60) |
Pericardial disease | |
Yes | 12 (80) |
No | 3 (20) |
Right-sided heart disease | |
Yes | 9 (60) |
No | 6 (40) |
Left-sided heart disease | |
Yes | 3 (20) |
No | 12 (80) |
Superior disease extent | |
Hyoid/larynx | 6 (40) |
Thyroid | 9 (60) |
Inferior disease extent | |
Middle third sternum | 10 (67) |
Lower third sternum | 5 (33) |
Mediastinal involvement | |
Upper mediastinum only | 2 (13) |
Whole mediastinum | 13 (87) |
Chemotherapy | |
ABVD | 12 (80) |
R-CHOP | 1 (7) |
Other | 2 (13) |
No. of cycles | |
2 | 1 (7) |
4 | 4 (27) |
6 | 8 (53) |
≥ 7 | 2 (13) |
Effect of deep-inspiration breath-hold on lung volumes
Dosimetric analysis
IMRT-BH | P-FB | IMPT-FB | P-BH | |
---|---|---|---|---|
CTV D99, Gy or Gy (RBE) | 30.38 ± 0.5 | 30.60 ± 0.3 | 30.66 ± 0.2 | 30.63 ± 0.3 |
PTV D95 Gy or Gy (RBE) | 29.65 ± 1.2 | 30.36 ± 0.4 | 30.34 ± 0.2 | 30.31 ± 0.4 |
Total lung | ||||
V5, % | 42.9 ± 8 | 33.3 ± 7 | 32.5 ± 8 | 30.3 ± 6 |
V15, % | 25.6 ± 7 | 23.8 ± 7 | 22.2 ± 6 | 19.7 ± 5 |
V20, % | 20.2 ± 6 | 20 ± 6 | 18.5 ± 5 | 15.6 ± 4 |
V25, % | 14.7 ± 5 | 16.8 ± 5 | 14.4 ± 5 | 12.8 ± 3 |
V30, % | 7.1 ± 3 | 11.7 ± 4 | 8.7 ± 3 | 8.6 ± 2 |
Dmean, Gy or Gy (RBE) | 9.01 ± 1.9 | 7.64 ± 1.9 | 7.23 ± 1.9 | 6.49 ± 1.4 |
Total heart | ||||
V5, % | 44.1 ± 18 | 31.6 ± 13 | 35.7 ± 13 | 6.1 ± 4 |
V15, % | 32 ± 13 | 26.8 ± 11 | 28 ± 11 | 3.9 ± 3 |
V25, % | 26 ± 11 | 22.3 ± 10 | 21.7 ± 10 | 1 ± 2 |
V30, % | 20.1 ± 9 | 19 ± 9 | 16.7 ± 9 | 0.7 ± 1 |
Dmean, Gy or Gy (RBE) | 11.19 ± 4.2 | 8.52 ± 3.6 | 8.97 ± 3.6 | 1.10 ± 0.9 |
Left ventricle | ||||
V5, % | 21.1 ± 19 | 8.7 ± 11 | 12.3 ± 12 | 5.3 ± 5 |
V15, % | 8.1 ± 10 | 5.9 ± 8 | 6.9 ± 8 | 3.3 ± 4 |
V25, % | 4.7 ± 7 | 3.9 ± 6 | 3.7 ± 5 | 2.1 ± 2 |
V30, % | 2.4 ± 4 | 2.7 ± 4 | 1.9 ± 3 | 1.3 ± 2 |
Dmean, Gy or Gy (RBE) | 4.29 ± 3.2 | 1.95 ± 2.5 | 2.49 ± 2.6 | 1.15 ± 1.2 |
Left main-LAD | ||||
V5, % | 43.9 ± 16 | 46.2 ± 22 | 45.8 ± 19 | 40.9 ± 21 |
V15, % | 34.2 ± 19 | 39 ± 24 | 38.3 ± 24 | 34.5 ± 23 |
V25, % | 30.3 ± 20 | 33.2 ± 25 | 32.2 ± 23 | 28.6 ± 24 |
V30, % | 26.5 ± 21 | 28.2 ± 23 | 23.7 ± 23 | 25.2 ± 24 |
Dmean, Gy or Gy (RBE) | 12.08 ± 5.4 | 12.51 ± 7.5 | 11.97 ± 6.8 | 11.08 ± 7.4 |
Left circumflex | ||||
V5 (%) | 81.1 ± 23 | 34.1 ± 39 | 54.9 ± 37 | 29.7 ± 33 |
V15 (%) | 45.4 ± 35 | 29.7 ± 41 | 42.1 ± 39 | 25.4 ± 32 |
V25 (%) | 36.6 ± 34 | 28.1 ± 41 | 30 ± 41 | 22.6 ± 31 |
V30 (%) | 27.1 ± 31 | 26.9 ± 40 | 23.5 ± 35 | 19.7 ± 29 |
Dmean, Gy or Gy (RBE) | 16.62 ± 8.5 | 9.95 ± 12.9 | 13.17 ± 11.3 | 8.39 ± 10.2 |
RCA | ||||
V5, % | 52.3 ± 28 | 51.8 ± 30 | 49.2 ± 31 | 51.6 ± 25 |
V15, % | 41.2 ± 30 | 46.6 ± 31 | 42.5 ± 32 | 46.9 ± 25 |
V25, % | 35.7 ± 31 | 42.1 ± 32 | 37.5 ± 32 | 39.9 ± 27 |
V30, % | 30.8 ± 32 | 38.4 ± 32 | 30.1 ± 31 | 33.7 ± 29 |
Dmean, Gy or Gy (RBE) | 13.98 ± 8.9 | 14.92 ± 9.9 | 13.38 ± 9.9 | 14.59 ± 8.4 |
Esophagus | ||||
V5, % | 74.7 ± 12 | 56.8 ± 13 | 59.6 ± 12 | 56.9 ± 12 |
V15, % | 65.6 ± 11 | 53.2 ± 14 | 53 ± 12 | 53.4 ± 14 |
V25, % | 59.1 ± 11 | 49.2 ± 14 | 47.3 ± 13 | 49.7 ± 16 |
V30, % | 50.5 ± 16 | 44.6 ± 15 | 41.2 ± 14 | 45.5 ± 17 |
Dmean, Gy or Gy (RBE) | 20.83 ± 3.4 | 16.69 ± 4.3 | 16.69 ± 3.9 | 16.82 ± 4.6 |
Left breast (n = 9) | ||||
V5, % | 4.7 ± 3 | 5.3 ± 5 | 3.6 ± 4 | 6.1 ± 4 |
V15, % | 2.2 ± 2 | 3.1 ± 3 | 1.8 ± 2 | 3.9 ± 3 |
V25. % | 0.5 ± 1 | 1 ± 1 | 0.3 ± 0 | 1 ± 2 |
V30, % | 0.1 ± 0 | 0.6 ± 1 | 0 ± 0 | 0.7 ± 1 |
Dmean, Gy or Gy (RBE) | 1.32 ± 0.6 | 0.96 ± 0.9 | 0.59 ± 0.6 | 1.10 ± 0.9 |
Right breast (n = 9) | ||||
V5, % | 5.6 ± 7 | 3.5 ± 3 | 2.6 ± 3 | 5.7 ± 5 |
V15, % | 1.7 ± 3 | 1.9 ± 2 | 1 ± 2 | 3.0 ± 4 |
V25, % | 0.1 ± 3 | 0.5 ± 1 | 0.2 ± 1 | 0.8 ± 2 |
V30, % | 0 ± 0 | 0.4 ± 1 | 0 ± 0 | 0.6 ±1 |
Dmean, Gy or Gy (RBE) | 1.21 ± 1.1 | 0.61 ± 0.6 | 0.40 ± 0.6 | 0.96 ± 1 |
Thyroid | ||||
V5, % | 66.4 ± 40 | 64.8 ± 33 | 54.6 ± 38 | 71.8 ± 34 |
V15, % | 56.3 ± 41 | 55.7 ± 38 | 47.6 ± 40 | 62.2 ± 38 |
V25, % | 48.9 ± 40 | 46.7 ± 40 | 37.1 ± 36 | 52.6 ± 40 |
V30, % | 40.6 ± 37 | 32.9 ± 35 | 23 ± 27 | 42.2 ± 38 |
Dmean, Gy or Gy (RBE) | 18.32 ± 11.9 | 17.28 ± 11.3 | 14.34 ± 11.7 | 19.44 ± 11.4 |
Upper body | ||||
V5, % | 19 ± 5 | 8.4 ± 3 | 8.7 ± 3 | 9.5 ± 2 |
V15, % | 12.1 ± 4 | 6.6 ± 2 | 6.6 ± 2 | 7.1 ± 2 |
V25, % | 6.9 ± 3 | 5.1 ± 2 | 4.8 ± 2 | 5.2 ± 2 |
V30, % | 4 ± 1 | 4.1 ± 2 | 3.4 ± 2 | 4.2 ± 1 |
Dmean, Gy or Gy (RBE) | 6.24 ± 2 | 2.09 ± 0.8 | 2.12 ± 0.8 | 2.28 ± 0.6 |
Cord Dmax, cGy or Gy (RBE) | 30.55 ± 2.4 | 12.93 ± 9 | 23.11 ± 6.2 | 12.18 ± 6.7 |




Discussion
- Chera B.S.
- Rodriguez C.
- Morris C.G.
- et al.
References
- Hodgkin Lymphoma - Cancer Stat Facts.(Available at:) (Accessed October 1, 2019)
- Cancer statistics, 2018.CA Cancer J Clin. 2018; 68: 7-30
- Hodgkin lymphoma: A review and update on recent progress.CA Cancer J Clin. 2018; 68: 116-132
- Reduced treatment intensity in patients with early-stage Hodgkin’s lymphoma.N Engl J Med. 2010; 363: 640-652
- Involved-field radiotherapy is equally effective and less toxic compared with extended-field radiotherapy after four cycles of chemotherapy in patients with early-stage unfavorable Hodgkin’s lymphoma: Results of the HD8 trial of the German Hodgkin’s Lymphoma Study Group.J Clin Oncol. 2003; 21: 3601-3608
- Dosimetric advantages of a “butterfly” technique for intensity-modulated radiation therapy for young female patients with mediastinal Hodgkin’s lymphoma.Radiat Oncol. 2014; 9: 94
- Dosimetric benefits of intensity-modulated radiotherapy combined with the deep-inspiration breath-hold technique in patients with mediastinal Hodgkin’s lymphoma.Int J Radiat Oncol. 2012; 82: 1522-1527
- Active breathing control for patients receiving mediastinal radiation therapy for lymphoma: Impact on normal tissue dose.Pract Radiat Oncol. 2014; 4: 174-180
- Prospective phase II trial of image-guided radiotherapy in Hodgkin lymphoma: Benefit of deep inspiration breath-hold.Acta Oncol. 2015; 54: 60-66
- Proton therapy for adults with mediastinal lymphomas: The International Lymphoma Radiation Oncology Group guidelines.Blood. 2019; 133: 1384-1385
- The physics of proton therapy.Phys Med Biol. 2015; 60: R155-R209
- Dosimetric comparison of involved-field three-dimensional conformal photon radiotherapy and breast-sparing proton therapy for the treatment of Hodgkin’s lymphoma in female pediatric patients.Int J Radiat Oncol Biol Phys. 2011; 81: e667-e671
- Dosimetric comparison of three different involved nodal irradiation techniques for stage II Hodgkin’s lymphoma patients: Conventional radiotherapy, intensity-modulated radiotherapy, and three-dimensional proton radiotherapy.Int J Radiat Oncol Biol Phys. 2009; 75: 1173-1180
- Comparison of passive-beam proton therapy, helical tomotherapy and 3D conformal radiation therapy in Hodgkin’s lymphoma female patients receiving involved-field or involved site radiation therapy.Cancer Radiother. 2016; 20: 98-103
Zhu HJ, Nichols RC, Henderson RH, et al. Proton therapy in stage II–IV non-small cell lung cancer: pattern of care and impact on trial accrual. Acta Oncol. https://doi.org/10.1080/0284186X.2017.1398413.
- Minimizing late effects for patients with mediastinal Hodgkin lymphoma: deep inspiration breath-hold, IMRT, or both?.Int J Radiat Oncol Biol Phys. 2015; 92: 169-174
- Breath-hold technique in conventional APPA or intensity-modulated radiotherapy for Hodgkin’s lymphoma: Comparison of ILROG IS-RT and the GHSG IF-RT.Strahlenther Onkol. 2015; 191: 717-725
- Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: The Lugano classification.J Clin Oncol. 2014; 32: 3059-3068
- Modern radiation therapy for Hodgkin lymphoma: Field and dose guidelines from the international lymphoma radiation oncology group (ILROG).Int J Radiat Oncol. Biol. Phys. 2014; 89: 854-862
- Dosimetric comparison of treatment plans based on free breathing, maximum, and average intensity projection CTs for lung cancer SBRT.Med Phys. 2012; 39: 2754-2760
- Development and validation of a heart atlas to study cardiac exposure to radiation following treatment for breast cancer.Int J Radiat Oncol Biol Phys. 2011; 79: 10-18
- Life years lost attributable to late effects after radiotherapy for early stage Hodgkin lymphoma: The impact of proton therapy and/or deep inspiration breath hold.Radiother Oncol. 2017; 125: 41-47
- Predictive factors for radiation pneumonitis in Hodgkin lymphoma patients receiving combined-modality therapy.Int J Radiat Oncol Biol Phys. 2012; 83: 277-283
- Clinical dose-volume histogram analysis for pneumonitis after 3D treatment for non-small cell lung cancer (NSCLC).Int J Radiat Oncol Biol Phys. 1999; 45: 323-329
- Predictors of radiation pneumonitis in patients receiving intensity modulated radiation therapy for Hodgkin and non-hodgkin lymphoma.Int J Radiat Oncol Biol Phys. 2015; 92: 175-182
- Dosimetric evaluation of lung tumor immobilization using breath hold at deep inspiration.Int J Radiat Oncol. 2001; 50: 1091-1098
- Comparison of techniques for involved-site radiation therapy in patients with lower mediastinal lymphoma.Pract Radiat Oncol. 2019; 9: 426-434
- Cumulative absolute breast cancer risk for young women treated for Hodgkin lymphoma.J Natl Cancer Inst. 2005; 97: 1428-1437
- Radiation Dose and breast cancer risk in the childhood cancer survivor study.J Clin Oncol. 2009; 27: 3901-3907
- Radiation for Hodgkin’s lymphoma in young female patients: A new technique to avoid the breasts and decrease the dose to the heart.Int J Radiat Oncol. 2011; 79: 503-507
- Risk of ischemic heart disease in women after radiotherapy for breast cancer.N Engl J Med. 2013; 368: 987-998
- Effective dose reduction to cardiac structures using protons compared with 3DCRT and IMRT in mediastinal Hodgkin lymphoma.Int J Radiat Oncol Biol Phys. 2012; 84: 449-455
- Comparative treatment planning study for mediastinal Hodgkin’s lymphoma: Impact on normal tissue dose using deep inspiration breath hold proton and photon therapy.Acta Oncol. 2019; 58: 95-104
- Proton versus photon deep inspiration breath hold technique in patients with hodgkin lymphoma and mediastinal radiation.Radiat Oncol. 2018; 13 (13:122)
- Exponential increase in relative biological effectiveness along distal edge of a proton bragg peak as measured by deoxyribonucleic acid double-strand breaks.Int J Radiat Oncol Biol Phys. 2016; 95: 62-69
Article info
Publication history
Footnotes
Sources of support: Supported in part by Cancer Center Support (Core) Grant CA016672 from the National Cancer Institute, National Institutes of Health, to MD Anderson Cancer Center.
Disclosures: Dr Fuller received/receives funding and salary support unrelated to this project during the period of study execution from: the National Institutes of Health (NIH) National Institute of Biomedical Imaging and Bioengineering (NIBIB) Research Education Programs for Residents and Clinical Fellows Grant (R25EB025787-01); the National Institute for Dental and Craniofacial Research Establishing Outcome Measures Award (1R01DE025248/R56DE025248) and Academic Industrial Partnership Grant (R01DE028290); National Cancer Institute (NCI) Early Phase Clinical Trials in Imaging and Image-Guided Interventions Program (1R01CA218148); an NIH/NCI Cancer Center Support Grant (CCSG) Pilot Research Program Award from the UT MD Anderson CCSG Radiation Oncology and Cancer Imaging Program (P30CA016672); an NIH/NCI Head and Neck Specialized Programs of Research Excellence (SPORE) Developmental Research Program Award (P50 CA097007); NIH Big Data to Knowledge (BD2K) Program of the NCI Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science Award (1R01CA2148250; National Science Foundation (NSF), Division of Mathematical Sciences, Joint NIH/NSF Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD) Grant (NSF 1557679); NSF Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) grant (NSF 1933369); and the Sabin Family Foundation. Direct infrastructure support is provided to Dr Fuller by the multidisciplinary Stiefel Oropharyngeal Research Fund of the University of Texas MD Anderson Cancer Center Charles and Daneen Stiefel Center for Head and Neck Cancer and the Cancer Center Support Grant (P30CA016672) and the MD Anderson Program in Image-guided Cancer Therapy. Dr Fuller has received direct industry grant support, honoraria, and travel funding from Elekta AB unrelated to this project.
Disclosure Research data are stored in an institutional repository and will be shared upon request to the corresponding author, after approval from the institutional review board.
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