Local Correlation Between Monte-Carlo Dose and Radiation-Induced Fibrosis in Lung Cancer Patients

International Journal of Radiation Oncology Biology Physics

Volumn 70, Issue 3, 2008, Pages 921-930

  Stroian, Gabriela ^a   Martens, Chandra ^a   Souhami, Luis ^a   Collins, D Louis ^b   Seuntjens, Jan ^a  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Affine registration; Non small cell lung cancer; Radiotherapy complications; Radiotherapy induced fibrosis; Three dimensional Monte Carlo dose distributions

Indexed keywords

COMPUTERIZED TOMOGRAPHY; DOSIMETRY; IMAGE SEGMENTATION; MONTE CARLO METHODS; TUMORS;

AFFINE REGISTRATION; NON SMALL CELL LUNG CANCER; RADIOTHERAPY COMPLICATIONS; RADIOTHERAPY INDUCED FIBROSIS; THREE DIMENSIONAL MONTE CARLO DOSE DISTRIBUTIONS;

RADIOTHERAPY;

AGED; ARTICLE; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CORRELATION ANALYSIS; DOSIMETRY; FEMALE; FOLLOW UP; HUMAN; LUNG; LUNG NON SMALL CELL CANCER; MALE; MONTE CARLO METHOD; PRIORITY JOURNAL; RADIATION DOSE; RADIATION DOSE DISTRIBUTION; RADIATION INDUCED FIBROSIS; RADIATION INJURY; TREATMENT PLANNING;

AGED; CARCINOMA, NON-SMALL-CELL LUNG; DOSE-RESPONSE RELATIONSHIP, RADIATION; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MONTE CARLO METHOD; RADIATION PNEUMONITIS; RADIOTHERAPY DOSAGE; RETROSPECTIVE STUDIES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 38849206914     PISSN: 03603016     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2007.10.033     Document Type: Article

References (33)

1. Emami B., Lyman J., and Brown A. Tolerance of normal tissue to therapeutic irradiation. Int J Radiat Oncol Biol Phys 21 (1991) 109-122
2. Lyman J.T., and Wolbarst A.B. Optimization of radiation therapy, III: A method of assessing complication probability from dose-volume histograms. Int J Radiat Oncol Biol Phys 13 (1987) 103-109
3. Martel M.K., Ten Haken R.K., Hazuka M.B., et al. Dose-volume histogram and 3D treatment planning evaluation of patients with pneumonitis. Int J Radiat Oncol Biol Phys 28 (1994) 575-581
4. Oetzel D., Schraube P., Hensely F., et al. Estimations of pneumonitis risk in three-dimensional treatment planning using dose-volume histogram analysis. Int J Radiat Oncol Biol Phys 33 (1995) 455-460
5. Kwa S.L.S., Lebesque J.V., Theuws J.C.M., et al. Radiation pneumonitis as a function of mean lung dose: An analysis of pooled data of 540 patients. Int J Radiat Oncol Biol Phys 42 (1998) 1-9
6. Graham M., Purdy J., Emami B., et al. Clinical dose-volume histogram analysis for pneumonitis after 3D treatment for non-small-cell lung cancer (NSCLC). Int J Radiat Oncol Biol Phys 45 (1999) 323-329
7. Hernando M.L., Marks L.B., Bentel G.C., et al. Radiation-induced pulmonary toxicity: A dose-volume histogram analysis in 201 patients with lung cancer. Int J Radiat Oncol Biol Phys 51 (2001) 650-659
8. Marks L.B. Dosimetric predictors of radiation-induced lung injury. Int J Radiat Oncol Biol Phys 54 (2002) 313-316
9. Miller K.L., Shafman T.D., and Marks L.B. A practical approach to pulmonary risk assessment in the radiotherapy of lung cancer. Semin Radiat Oncol 14 (2004) 298-307
10. Rodrigues G., Lock M., D'Souza D., et al. Prediction of radiation pneumonitis by dose-volume histogram parameters in lung cancer-A systematic review. Radiother Oncol 71 (2004) 127-138
11. Rosen II, Fischer T.A., Antolak J.A., et al. Correlation between lung fibrosis and radiation therapy dose after concurrent radiation therapy and chemotherapy for limited small cell lung cancer. Radiology 221 (2001) 614-622
12. Levinson B., Marks L.B., Munley M.T., et al. Regional dose response to pulmonary irradiation using a manual method. Radiother Oncol 48 (1998) 53-60
13. Kwa S.L.S., Theuws J.C.M., van Herk M.H., et al. Application of Chamfer matching in three-dimensional correlation of CT-SPECT and CT-CT of the lungs. [Abstract]. Radiother Oncol 37 Suppl. 1 (1995) S33
14. Marks L.B., Spencer D.P., Bentel G.C., et al. The utility of SPECT lung perfusion scans in minimizing and assessing the physiologic consequences of thoracic irradiation. Int J Radiat Oncol Biol Phys 23 (1993) 659-668
15. Mah K., van Dyk J., Keane T.J., et al. Acute radiation-induced pulmonary damage: A clinical study on the response to fractionated radiation therapy. Int J Radiat Oncol Biol Phys 12 (1987) 179-188
16. Mah K., and van Dyk J. Quantitative measurement of changes in human lung density following irradiation. Radiother Oncol 11 (1988) 169-179
17. Boersma L.J., Damen E.M.F., de Boer R.W., et al. A new method to determine dose-effect relations for radiation induced local lung-function changes using correlated SPECT and CT data. Radiother Oncol 29 (1993) 110-116
18. Boersma L.J., Damen E.M.F., de Boer R.W., et al. Dose-effect relations for local functional and structural changes of the lung after irradiation for malignant lymphoma. Radiother Oncol 32 (1994) 201-209
19. Papanikolaou N, Battista JJ, Boyer AL, et al. Tissue inhomogeneity corrections for megavoltage photon beams. AAPM Report No. 85. Madison, WI: Medical Physics Publishing; 2004.
20. Chetty I.J., Curran B., Cygler J.E., et al. Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning. Med Phys 34 (2007) 4818-4853
21. Hirsh V., Duclos M., Souhami L., et al. Phase II trial with carboplatin/gemcitabine induction chemotherapy followed by radiotherapy concomitantly with paclitaxel/gemcitabine in stage III non-small cell lung cancer (NSCLC). 2006 ASCO Annual Meeting Proceedings Part I. J Clin Oncol 24 Suppl. (2006) 7139
22. Rogers D.W.O., Faddegon B.A., Ding G.X., et al. BEAM: A Monte Carlo code to simulate radiotherapy treatment units. Med Phys 22 (1995) 503-524
23. Kawrakow I., Fippel M., and Friedrich K. 3D electron dose calculation using a Voxel based Monte Carlo algorithm (VMC). Med Phys 23 (1996) 445-457
24. Collins D.L., and Evans A.C. ANIMAL: Validation and applications of nonlinear registration-based segmentation. Int J Pattern Recognition Artificial Intelligences 11 (1997) 1271-1294
25. Schneider W., Borfeld T., and Schlegel W. Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. Phys Med Biol 45 (2000) 459-478
26. Yorke E.D., Jackson A., Rozenzweig K.E., et al. Dose-volume factors contributing to the incidence of radiation pneumonitis in non-small-cell lung cancer patients treated with three-dimensional conformal radiation therapy. Int J Radiat Oncol Biol Phys 54 (2002) 329-339
27. Marks L.B., Spencer D.P., Sherouse G.W., et al. The role of three dimensional functional lung imaging in radiation treatment planning: The functional dose-volume histogram. Int J Radiat Oncol Biol Phys 33 (1995) 65-75
28. Marks L.B., Munley M.T., and Spencer D.P. Quantification of radiation-induced regional lung injury with perfusion imaging. Int J Radiat Oncol Biol Phys 38 (1997) 399-409
29. Chetty I.J., Rosu M., McShan D.L., et al. The influence of beam model differences in the comparison of dose calculation algorithms for lung cancer treatment planning. Phys Med Biol 50 (2005) 801-815
30. Du Plessis F.C.P., Willemse C.A., Lötter M.G., et al. Comparison of the Batho, ETAR and Monte Carlo dose calculation methods in CT based patient models. Med Phys 28 (2001) 582-589
31. Seuntjens J., Dai J., Heath E., et al. Retrospective Monte Carlo study of conformal lung cancer treatment plans. [Abstract]. In: Seuntjens J., and Verhaegen F. (Eds). Current topics in Monte Carlo treatment planning, advanced workshop (May 3-5, 2004). Workshop proceedings (2004), McGill University, Montreal 32
32. Lindsay P.E., El Naqa I., Hope A.J., et al. Retrospective Monte Carlo dose calculations with limited beam weight information. Med Phys 34 (2007) 334-346
33. Rosu M., Chetty I.J., Tatro D.S., et al. The impact of breathing motion versus heterogeneity effects in lung cancer treatment planning. Med Phys 34 (2007) 1462-1473