How does performance of ultrasound tissue typing affect design of prostate IMRT dose-painting protocols?

International Journal of Radiation Oncology Biology Physics

Volumn 67, Issue 2, 2007, Pages 362-368

  Zhang, Pengpeng ^a   Osterman, K Sunshine ^a   Liu, Tian ^a   Li, Xiang ^a   Kessel, Jack ^a   Wu, Leester ^a   Schiff, Peter ^a   Kutcher, Gerald J ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Dose painting; Prostate cancer; Radiation biologic model; Receiver operating characteristic; Treatment planning

Indexed keywords

COMPUTERIZED TOMOGRAPHY; PATIENT TREATMENT; RADIOTHERAPY; TUMORS; ULTRASONIC IMAGING;

DOSE PAINTING; PROSTATE CANCER; RADIATION BIOLOGIC MODELS; RECEIVER OPERATING CHARACTERISTICS; TREATMENT PLANNING;

TISSUE;

ANALYTIC METHOD; ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; FALSE POSITIVE RESULT; HUMAN; HUMAN TISSUE; IMAGING SYSTEM; INTENSITY MODULATED RADIATION THERAPY; MALE; POPULATION RESEARCH; PRIORITY JOURNAL; PROBABILITY; RADIATION DOSE; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY; TISSUE TYPING; TREATMENT PLANNING; ULTRASOUND;

ALGORITHMS; FALSE POSITIVE REACTIONS; HUMANS; MALE; PROBABILITY; PROSTATE; PROSTATIC NEOPLASMS; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, INTENSITY-MODULATED; ROC CURVE; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 33846248708     PISSN: 03603016     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2006.08.061     Document Type: Article

References (31)

1. Chao K.S., Mutic S., Gerber R.L., et al. A novel approach to overcome hypoxic tumor resistance: Cu-ATSM-guided intensity modulated radiation therapy. Int J Radiat Oncol Biol Phys 49 (2001) 1171-1182
2. Zaider M., Zelefsky M.J., Lee E.K., et al. Treatment planning for prostate implants using magnetic-resonance spectroscopy imaging. Int J Radiat Oncol Biol Phys 47 (2000) 1085-1096
3. Zakian K., Kutcher J., Ballon D., et al. Developments in nuclear magnetic resonance imaging and spectroscopy: Application to radiation oncology. Semin Radiat Oncol 11 (2001) 3-15
4. Menard C., Smith I.C.P., Somorjai R.L., et al. Magnetic resonance spectroscopy of the malignant prostate gland after radiotherapy: A histopathologic study of diagnostic validity. Int J Radiat Oncol Biol Phys 50 (2001) 317-323
5. Aoyama H., Shirato H., Nishioka T., et al. Magnetic resonance imaging system for three-dimensional conformal radiotherapy and its impact on gross tumor volume delineation of central nervous system tumors. Int J Radiat Oncol Biol Phys 50 (2001) 821-827
6. Pirzkall A., McNight T.R., Graves E.E., et al. MR-spectroscopy guided target delineation for high-grade gliomas. Int J Radiat Oncol Biol Phys 50 (2001) 915-928
7. DiBiase S.J., Hosseinzadeh K., Gullapalli R.P., et al. Magnetic resonance spectroscopic imaging-guided brachytherapy for localized prostate cancer. Int J Radiat Oncol Biol Phys 52 (2002) 429-438
8. Hasumi M., Suzuki K., Oya N., et al. MR spectroscopy as a reliable diagnostic tool for localization of prostate cancer. Anticancer Res 22 (2002) 1205-1208
9. Feleppa E.J., Liu T., Kalisz A., et al. Ultrasonic spectral parameter imaging of the prostate. Int J Imag Sys Tech 8 (1997) 11-25
10. Feleppa E.J., Fair W.R., Liu T., et al. Three-dimensional ultrasound analyses of the prostate. Mol Urol 4 (2000) 133-141
11. Liu T., Lizzi F.L., Silverman R.H., et al. Ultrasonic tissue microstructure characterization using two-dimensional spectral analysis and the potential role in conformal radiation therapy (2002) Presented at the Annual Meeting of ASTRO, New Orleans, LA
12. Gefen S., Tretiak O.J., Piccoli C.W., et al. ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis. IEEE TMI 22 (2003) 170-177
13. Ling C.C., Humm J., Larson S., et al. Towards multidimensional radiotherapy (MD-CRT): Biological imaging and biological conformality. Int J Radiat Oncol Biol Phys 47 (2000) 551-560
14. Xing L., Cotrutz C., Hunjan S., et al. Inverse planning for functional image-guided IMRT (2002) Presented at the Annual Meeting of ASTRO, New Orleans, LA
15. Cotrutz C., and Xing L. IMRT dose shaping with regionally variable penalty scheme. Med Phys 30 (2003) 544-551
16. Zhou X., Obuchowski N., and McClish D. Statistical methods in diagnostic medicine (2002), Wiley, New York
17. Chen M.E., Johnston D.A., Tang K., et al. Detailed mapping of prostate carcinoma foci: Biopsy strategy implications. Cancer 89 (2000) 1800-1809
18. Webb S., and Nahum A.E. A model for calculating tumor control probability in radiotherapy including the effects of inhomogeneous distribution of dose and clonogenic cell density. Phys Med Biol 38 (1993) 653-656
19. In: Beahrs O.H., Henson D.E., Hutter R.V.P., et al. (Eds). American Joint Committee on Cancer manual for staging of cancer. 4th ed (1992), JB Lippincott, Philadelphia 181-183
20. Gleason D.F. Histologic grading and clinical staging of prostatic adenocarcinoma. In: Tannenbaum M. (Ed). Urologic pathology: The prostate (1977), Lea & Febiger, Philadelphia 171-197
21. Levegrüun S., Jackson A., Zelefsky M., et al. Analysis of biopsy outcome after three-dimensional conformal radiation therapy of prostate cancer using dose-distribution variables and tumor control probability model. Int J Radiat Oncol Biol Phys 47 (2000) 1245-1260
22. Levegrüun S., Jackson A., Zelefsky M., et al. Risk group dependence of dose-response for biopsy outcome after three-dimensional conformal radiation therapy of prostate cancer. Radiother Oncol 63 (2002) 11-26
23. Levegrüun S., Jackson A., Zelefsky M., et al. Fitting tumor control probability models to biopsy outcome after three-dimensional radiation therapy of prostate cancer: Pitfalls in deducing radiobiological parameters for tumor from clinical data. Int J Radiat Oncol Biol Phys 51 (2001) 1064-1080
24. Kutcher G.J., and Burman C. Calculation of complication probability factors for non-uniform normal tissue radiation: The effective volume method. Int J Radiat Oncol Biol Phys 16 (1989) 1623-1630
25. Burman C., Kutcher G.J., Emami B., et al. Fitting of normal tissue tolerance data to an analytic function. Int J Radiat Oncol Biol Phys 21 (1991) 123-135
26. Kutcher G.J., and Burman C. Histogram reduction method for calculating complication probability for three-dimensional treatment planning evaluations. Int J Radiat Oncol Biol Phys 21 (1991) 137-146
27. Remeijer P., Rasch C., Lebesque J.V., et al. Margins for translational and rotational uncertainties: A probability-based approach. Int J Radiat Oncol Biol Phys 53 (2002) 464-474
28. Mageras G.S., Fuks Z., Leibel S.A., et al. Computerized design of target margins for treatment uncertainties in conformal radiotherapy. Int J Radiat Oncol Biol Phys 43 (1999) 437-445
29. Niemierko A., and Goitein M. Implementation of a model for estimating tumor control probability for an inhomogeneously irradiated tumor. Radiother Oncol 29 (1993) 140-147
30. Niemierko A. Reporting and analyzing dose distributions: A concept of equivalent uniform dose. Med Phys 24 (1997) 103-110
31. Nutting C.M., Corbishley C.M., Sancheznieto B., et al. Potential improvements in the therapeutic ratio of prostate cancer irradiation: Dose escalation of pathologically identified tumor nodules using intensity modulated radiotherapy. Br J Radiol 75 (2002) 151-161