The importance of patient characteristics for the prediction of radiation-induced lung toxicity

Radiotherapy and Oncology

Volumn 91, Issue 3, 2009, Pages 421-426

  Dehing Oberije, Cary ^a   Ruysscher, Dirk De ^a   Baardwijk, Angela van ^a   Yu, Shipeng ^b   Rao, Bharat ^b   Lambin, Philippe ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Dosimetric parameters; Lung cancer; Patient characteristics; Predictive factors; Radiation induced lung injury; Radiotherapy

Indexed keywords

CARBOPLATIN; CISPLATIN; ETOPOSIDE; GEMCITABINE; NAVELBINE;

ARTICLE; CANCER COMBINATION CHEMOTHERAPY; CANCER PATIENT; CANCER RADIOTHERAPY; DOSIMETRY; DYSPNEA; FEMALE; FORCED EXPIRATORY VOLUME; HUMAN; LUNG; LUNG CANCER; LUNG NON SMALL CELL CANCER; LUNG SMALL CELL CANCER; LUNG TOXICITY; MAJOR CLINICAL STUDY; MALE; MULTIPLE CYCLE TREATMENT; PATIENT CODING; PREDICTION; PRIORITY JOURNAL; RADIATION DOSE; RADIATION INJURY; SMOKING; WEIGHT REDUCTION; WORLD HEALTH ORGANIZATION;

AGED; AREA UNDER CURVE; DOSE-RESPONSE RELATIONSHIP, RADIATION; FEMALE; HUMANS; INCIDENCE; LUNG; LUNG NEOPLASMS; MALE; PREDICTIVE VALUE OF TESTS; RADIATION INJURIES; RADIOTHERAPY DOSAGE; RISK ASSESSMENT; RISK FACTORS;

EID: 65749091886     PISSN: 01678140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.radonc.2008.12.002     Document Type: Article

References (39)

1. Mehta V. Radiation pneumonitis and pulmonary fibrosis in non-small-cell lung cancer: pulmonary function, prediction, and prevention. Int J Radiat Oncol Biol Phys 63 (2005) 5-24
2. Rodrigues G., Lock M., D'Souza D., Yu E., and Van Dyk J. Prediction of radiation pneumonitis by dose-volume histogram parameters in lung cancer-a systematic review. Radiother Oncol 71 (2004) 127-138
3. Kong F.M., Hayman J.A., Griffith K.A., et al. Final toxicity results of a radiation-dose escalation study in patients with non-small-cell lung cancer (NSCLC): predictors for radiation pneumonitis and fibrosis. Int J Radiat Oncol Biol Phys 65 (2006) 1075-1086
4. Madani I., De Ruyck K., Goeminne H., De Neve W., Thierens H., and Van Meerbeeck J. Predicting risk of radiation-induced lung injury. J Thorac Oncol 2 (2007) 864-874
5. Movsas B., Raffin T.A., Epstein A.H., and Link Jr. C.J. Pulmonary radiation injury. Chest 111 (1997) 1061-1076
6. Lind P.A., Marks L.B., Hollis D., et al. Receiver operating characteristic curves to assess predictors of radiation-induced symptomatic lung injury. Int J Radiat Oncol Biol Phys 54 (2002) 340-347
7. Chen S., Zhou S., Yin F.F., Marks L.B., and Das S.K. Investigation of the support vector machine algorithm to predict lung radiation-induced pneumonitis. Med Phys 34 (2007) 3808-3814
8. Chen S., Zhou S., Yin F.F., Marks L.B., and Das S.K. Using patient data similarities to predict radiation pneumonitis via a self-organizing map. Phys Med Biol 53 (2008) 203-216
9. Chen S., Zhou S., Zhang J., Yin F.F., Marks L.B., and Das S.K. A neural network model to predict lung radiation-induced pneumonitis. Med Phys 34 (2007) 3420-3427
10. Das S.K., Zhou S., Zhang J., Yin F.F., Dewhirst M.W., and Marks L.B. Predicting lung radiotherapy-induced pneumonitis using a model combining parametric Lyman probit with nonparametric decision trees. Int J Radiat Oncol Biol Phys 68 (2007) 1212-1221
11. Senan S., De Ruysscher D., Giraud P., Mirimanoff R., and Budach V. Literature-based recommendations for treatment planning and execution in high-dose radiotherapy for lung cancer. Radiother Oncol 71 (2004) 139-146
12. De Ruysscher D., Wanders S., van Haren E., et al. Selective mediastinal node irradiation based on FDG-PET scan data in patients with non-small-cell lung cancer: a prospective clinical study. Int J Radiat Oncol Biol Phys 62 (2005) 988-994
13. ICRU Report 50: prescribing, recording, and reporting photon beam therapy. Bethesda, MD: International Commission on Radiation Units and Measurements; 1993.
14. De Ruysscher D., Wanders R., van Haren E., et al. HI-CHART: a phase I/II study on the feasibility of high-dose continuous hyperfractionated accelerated radiotherapy in patients with inoperable non-small-cell lung cancer. Int J Radiat Oncol Biol Phys 71 (2008) 132-138
15. van Baardwijk A., Bosmans G., Boersma L., et al. Individualized radical radiotherapy of non-small-cell lung cancer based on normal tissue dose constraints: a feasibility study. Int J Radiat Oncol Biol Phys 71 (2008) 1394-1401
16. Fowler J.F., Tome W.A., Fenwick J.D., and Mehta M.P. A challenge to traditional radiation oncology. Int J Radiat Oncol Biol Phys 60 (2004) 1241-1256
17. Cristianini N., and Shaw-Taylor J. An introduction to support vector machines and other kernel-based learning methods (2000), Cambridge University Press, Cambridge
18. Platt J.C. Probabilities for SV machines. In: Smola A.J., Bartlett P., and Scholkopf B. (Eds). Advances in large margin classifiers (2000), MIT press, Cambridge
19. Kong F.M., Ten Haken R., Eisbruch A., and Lawrence T.S. Non-small cell lung cancer therapy-related pulmonary toxicity: an update on radiation pneumonitis and fibrosis. Semin Oncol 32 (2005) S42-S54
20. Bradley J.D., Hope A., El Naqa I., et al. A nomogram to predict radiation pneumonitis, derived from a combined analysis of RTOG 9311 and institutional data. Int J Radiat Oncol Biol Phys 69 (2007) 985-992
21. 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
22. Kwa S.L., Lebesque J.V., Theuws J.C., 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
23. Rancati T., Ceresoli G.L., Gagliardi G., Schipani S., and Cattaneo G.M. Factors predicting radiation pneumonitis in lung cancer patients: a retrospective study. Radiother Oncol 67 (2003) 275-283
24. Yorke E.D., Jackson A., Rosenzweig 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
25. Tucker S.L., Liu H.H., Liao Z., et al. Analysis of radiation pneumonitis risk using a generalized Lyman model. Int J Radiat Oncol Biol Phys 72 (2008) 568-574
26. Vaupel P., Thews O., and Hoeckel M. Treatment resistance of solid tumors: role of hypoxia and anemia. Med Oncol 18 (2001) 243-259
27. Kelsen S.G., Duan X., Ji R., Perez O., Liu C., and Merali S. Cigarette smoke induces an unfolded protein response in the human lung: a proteomic approach. Am J Respir Cell Mol Biol 38 (2008) 541-550
28. 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
29. Nieder C., Jeremic B., Astner S., and Molls M. Radiotherapy-induced lung toxicity: risk factors and prevention strategies. Anticancer Res 23 (2003) 4991-4998
30. Inoue A., Kunitoh H., Sekine I., Sumi M., Tokuuye K., and Saijo N. Radiation pneumonitis in lung cancer patients: a retrospective study of risk factors and the long-term prognosis. Int J Radiat Oncol Biol Phys 49 (2001) 649-655
31. Robnett T.J., Machtay M., Vines E.F., McKenna M.G., Algazy K.M., and McKenna W.G. Factors predicting severe radiation pneumonitis in patients receiving definitive chemoradiation for lung cancer. Int J Radiat Oncol Biol Phys 48 (2000) 89-94
32. Kong F.M., Ten Haken R.K., and Sullivan M. Long term results of a phase I radiation dose escalation study in patients with inoperable/unresectable non-small cell lung cancer (NSCLC): local disease control and late toxicity. Int J Radiat Oncol Biol Phys 60 (2004) S239-S240
33. Fay M., Tan A., Fisher R., Mac Manus M., Wirth A., and Ball D. Dose-volume histogram analysis as predictor of radiation pneumonitis in primary lung cancer patients treated with radiotherapy. Int J Radiat Oncol Biol Phys 61 (2005) 1355-1363
34. Wang S., Liao Z., Wei X., et al. Analysis of clinical and dosimetric factors associated with treatment-related pneumonitis (TRP) in patients with non-small-cell lung cancer (NSCLC) treated with concurrent chemotherapy and three-dimensional conformal radiotherapy (3D-CRT). Int J Radiat Oncol Biol Phys 66 (2006) 1399-1407
35. Marks L.B., Munley M.T., Bentel G.C., et al. Physical and biological predictors of changes in whole-lung function following thoracic irradiation. Int J Radiat Oncol Biol Phys 39 (1997) 563-570
36. Tsujino K., Hirota S., Endo M., et al. Predictive value of dose-volume histogram parameters for predicting radiation pneumonitis after concurrent chemoradiation for lung cancer. Int J Radiat Oncol Biol Phys 55 (2003) 110-115
37. Seppenwoolde Y, De Jaeger K, Lebesque JV. In regard to Tsujino et al.: predictive value of dose-volume histogram parameters for predicting radiation pneumonitis after concurrent chemoradiation for lung cancer IJROBP 2003;55:110-5. Int J Radiat Oncol Biol Phys 2003;56:1208-09; author reply 1209.
38. Yamada M., Kudoh S., Hirata K., Nakajima T., and Yoshikawa J. Risk factors of pneumonitis following chemoradiotherapy for lung cancer. Eur J Cancer 34 (1998) 71-75
39. Fleckenstein K., Gauter-Fleckenstein B., Jackson I.L., Rabbani Z., Anscher M., and Vujaskovic Z. Using biological markers to predict risk of radiation injury. Semin Radiat Oncol 17 (2007) 89-98