Impact of respiratory gating using 4-dimensional computed tomography on the dosimetry of tumor and normal tissues in patients with thoracic malignancies

American Journal of Clinical Oncology: Cancer Clinical Trials

Volumn 32, Issue 3, 2009, Pages 262-268

  Vlachaki, Maria ^a,b   Castellon, Ignacio ^a,b   Leite, Carlos ^a,b   Perkins, Tania ^c,d   Ahmad, Salahuddin ^c  

^a WAYNE STATE UNIVERSITY   (United States)

^b KARMANOS CANCER INSTITUTE   (United States)

^c UNIVERSITY OF OKLAHOMA COLLEGE OF MEDICINE   (United States)

^d UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

Author keywords

4D CT; Respiratory gating; Thoracic malignancies

Indexed keywords

ADULT; AGED; ARTICLE; CLINICAL ARTICLE; CLINICAL ASSESSMENT; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC IMAGING; DOSIMETRY; ESOPHAGUS; FEMALE; FOUR DIMENSIONAL COMPUTED TOMOGRAPHY; GATED IMAGING; HEART; HUMAN; INSPIRATORY CAPACITY; LUNG VOLUME; MALE; OUTCOME ASSESSMENT; PRIMARY TUMOR; RADIATION DOSE; RADIATION DOSE FRACTIONATION; RESPIRATORY FUNCTION; THORAX CANCER; TISSUE; TREATMENT PLANNING; TUMOR LOCALIZATION; TUMOR VOLUME; UNIVERSITY HOSPITAL;

AGED; AGED, 80 AND OVER; CARCINOMA, NON-SMALL-CELL LUNG; COMPUTER SIMULATION; FEASIBILITY STUDIES; FEMALE; FOUR-DIMENSIONAL COMPUTED TOMOGRAPHY; HUMANS; IMAGING, THREE-DIMENSIONAL; LUNG NEOPLASMS; MALE; MIDDLE AGED; NEOPLASM STAGING; PROGNOSIS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOTHERAPY DOSAGE; RESPIRATORY-GATED IMAGING TECHNIQUES; SMALL CELL LUNG CARCINOMA; SURVIVAL RATE; TREATMENT OUTCOME;

EID: 67749122516     PISSN: 02773732     EISSN: 1537453X     Source Type: Journal    
DOI: 10.1097/COC.0b013e318184b33a     Document Type: Article

References (46)

1. Hayat MJ, Howlader N, Reichman ME, et al. Cancer statistics, trends, and multiple primary cancer analyses from the Surveillance, Epidemiology, and End Results (SEER) Program. Oncologist. 2007;12:20-37.
2. Martel MK, Ten Haken RK, Hazuka MB, et al. Estimation of tumor control probability model parameters from 3-D dose distributions of non-small cell lung cancer patients. Lung Cancer. 1999;24:31-37.
3. Wulf J, Baier K, Mueller G, et al. Dose-response in stereotactic irradiation of lung tumors. Radiother Oncol. 2005;77:83-87.
4. 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. 2006;66:1399-1407.
5. Seppenwoolde Y, Lebesque JV, de Jaeger K, et al. Comparing different NTCP models that predict the incidence of radiation pneumonitis. Normal tissue complication probability. Int J Radiat Oncol Biol Phys. 2003;55:724 - 735.
6. Yorke ED, Jackson A, Rosenzweig KE, 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. 2002;54:329-339.
7. Levitzky M. Pulmonary Physiology (Lange Physiology). 6th ed. McGraw Hill Medical; 2003.
8. Stevens CW, Munden RF, Forster KM, et al. Respiratory-driven lung tumor motion is independent of tumor size, tumor location, and pulmonary function. Int J Radiat Oncol Biol Phys. 2001;51:62-68.
9. Seppenwoolde Y, Shirato H, Kitamura K, et al. ., Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. Int J Radiat Oncol Biol Phys. 2002;53:822- 834.
10. Hanley J, Debois MM, Mah D, et al. Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation. Int J Radiat Oncol Biol Phys. 1999;45:603-611.
11. Mah D, Hanley J, Rosenzweig KE, et al. Technical aspects of the deep inspiration breath-hold technique in the treatment of thoracic cancer. Int J Radiat Oncol Biol Phys. 2000;48:1175-1185.
12. Negoro Y, Nagata Y, Aoki T, et al. The effectiveness of an immobilization device in conformal radiotherapy for lung tumor: reduction of respiratory tumor movement and evaluation of the daily setup accuracy. Int J Radiat Oncol Biol Phys. 2001;50:889-898.
13. Remouchamps VM, Letts N, Vicini FA, et al. Initial clinical experience with moderate deep- inspiration breath hold using an active breathing control device in the treatment of patients with left-sided breast cancer using external beam radiation therapy. Int J Radiat Oncol Biol Phys. 2003;56:704-715.
14. Rosenzweig KE, Hanley J, Mah D, et al. The deep inspiration breath-hold technique in the treatment of inoperable non-small-cell lung cancer. Int J Radiat Oncol Biol Phys. 2000;48:81-87.
15. Keall PJ, Mageras GS, Balter JM, et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. Med Phys. 2006;33:3874-3900.
16. Keall PJ, Starkschall G, Shukla H, et al. Acquiring 4D thoracic CT scans using a multislice helical method. Phys Med Biol. 2004;49:2053-2067.
17. Pan T, Lee TY, Rietzel E, et al. 4D-CT imaging of a volume influenced by respiratory motion on multi-slice CT. Med Phys. 2004;31:333-340.
18. Underberg RW, Lagerwaard FJ, Cuijpers JP, et al. Four-dimensional CT scans for treatment planning in stereotactic radiotherapy for stage I lung cancer. Int J Radiat Oncol Biol Phys. 2004;60:1283-1290.
19. Lu W, Parikh PJ, El Naqa IM, et al. Quantitation of the reconstruction quality of a four-dimensional computed tomography process for lung cancer patients. Med Phys. 2005;32:890-901.
20. Underberg RW, van Sörnsen de Koste JR, Lagerwaard FJ, et al. A dosimetric analysis of respiration-gated radiotherapy in patients with stage III lung cancer. Radiat Oncol. 2006;1:8.
21. Rosenzweig KE, Sura S, Jackson A, et al. Involved-field radiation therapy for inoperable non small-cell lung cancer. J Clin Oncol. 2007;25:5557-5561.
22. Metcalfe P, Kron T, Hoban P. The Physics of Radiotherapy X-Rays from Linear Accelerators. 3rd ed. Madison, WI: Medical Physics Publishing; 2004.
23. Niemierko A. Reporting and analyzing dose distributions: a concept of equivalent uniform dose. Med Phys. 1997;24:103-110.
24. Niemierko A, Goitein M. Implementation of a model for estimating tumor control probability for an inhomogeneously irradiated tumor. Radiother Oncol. 1993;29:140-147.
25. Webb S, Nahum AE. A model for calculating tumour control probability in radiotherapy including the effects of inhomogeneous distributions of dose and clonogenic cell density. Phys Med Biol. 1993;38:653-666.
26. Lyman JT. Complication probability as assessed from dose-volume histograms. Radiat Res Suppl. 1985;8:S13-S19.
27. Kutcher GJ, Burman C. Calculation of complication probability factors for non-uniform normal tissue irradiation: the effective volume method. Int J Radiat Oncol Biol Phys. 1989;16:1623-1630.
28. Burman C, Kutcher GJ, Emami B, et al. Fitting of normal tissue tolerance data to an analytic function. Int J Radiat Oncol Biol Phys. 1991;21:123-135.
29. Emami B, Lyman J, Brown A, et al. Tolerance of normal tissue to therapeutic irradiation. Int J Radiat Oncol Biol Phys. 1991;21:109 -122.
30. Kutcher GJ, Burman C, Brewster L, et al. Histogram reduction method for calculating complication probabilities for three-dimensional treatment planning evaluations. Int J Radiat Oncol Biol Phys. 1991;21:137-146.
31. Tucker SL, Thames HD, Taylor JM. How well is the probability of tumor cure after fractionated irradiation described by Poisson statistics? Radiat Res. 1990;124:273-282.
32. Munro TR, Gilbert CW. The relation between tumour lethal doses and the radiosensitivity of tumour cells. Br J Radiol. 1961;34:246-251.
33. Webb S. Converting 3D dose to biological outcomes: tumor control probability (TCP) and normal tissue complication probability (NTCP). In: Physics of Conformal Radiotherapy: Advances in Technology. Bristol and Philadelphia: Institute of Physics Publishing; 1997:chap 5.
34. Maxim PG, Loo BW Jr, Shirazi H, et al. Quantification of motion of different thoracic locations using four-dimensional computed tomography: implications for radiotherapy planning. Int J Radiat Oncol Biol Phys. 2007;69:1395- 1401.
35. Bradley JD, 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. 2007;69:985-992.
36. Kim TH, Cho KH, Pyo HR, et al. Dose-volumetric parameters of acute esophageal toxicity in patients with lung cancer treated with three-dimensional conformal radiotherapy. Int J Radiat Oncol Biol Phys. 2005;62:995- 1002.
37. Takeda K, Nemoto K, Saito H, et al. Predictive factors for acute esophageal toxicity in thoracic radiotherapy. Tohoku J Exp Med. 2006;208:299-306.
38. Rodemann HP, Bamberg M. Cellular basis of radiation-induced fibrosis. Radiother Oncol. 1995;35:83-90.
39. Mukherjee S, Aston D, Minett M, et al. The significance of cardiac doses received during chemoradiation of oesophageal and gastro-oesophageal junctional cancers. Clin Oncol (R Coll Radiol). 2003;15:115-120.
40. Rosenzweig KE, Fox JL, Yorke E, et al. Results of a phase I dose-escalation study using three-dimensional conformal radiotherapy in the treatment of inoperable nonsmall cell lung carcinoma. Cancer. 2005;103:2118-2127.
41. Kong FM, Ten Haken RK, Schipper MJ, et al. High-dose radiation improved local tumor control and overall survival in patients with inoperable/unresect- able non-small-cell lung cancer: long-term results of a radiation dose escalation study. Int J Radiat Oncol Biol Phys. 2005;63:324-333.
42. Nagata Y, Negoro Y, Aoki T, et al. Clinical outcomes of 3D conformal hypofractionated single high-dose radiotherapy for one or two lung tumors using a stereotactic body frame. Int J Radiat Oncol Biol Phys. 2002;52:1041- 1046.
43. Onimaru R, Shirato H, Shimizu S, et al. Tolerance of organs at risk in small-volume, hypofractionated, image-guided radiotherapy for primary and metastatic lung cancers. Int J Radiat Oncol Biol Phys. 200;356:126-135.
44. Timmerman R, McGarry R, Yiannoutsos C, et al. Excessive toxicity when treating central tumors in a phase II study of stereotactic body radiation therapy for medically inoperable early-stage lung cancer. J Clin Oncol. 2006;24:4833-4839.
45. Shioyama Y, Nakamura K, Anai S, et al. Stereotactic radiotherapy for lung and liver tumors using a body cast system: setup accuracy and preliminary clinical outcome. Radiat Med. 2005;23:407-413.
46. Li XA, Qi XS, Pitterle M, et al. ., Interfractional variations in patient setup and anatomic change assessed by daily computed tomography. Int J Radiat Oncol Biol Phys. 2007;68:581-591.