A study of prostate delineation referenced against a gold standard created from the visible human data

Radiotherapy and Oncology

Volumn 85, Issue 2, 2007, Pages 239-246

  Gao, Zhanrong ^b   Wilkins, David ^a,b,c   Eapen, Libni ^a,c   Morash, Christopher ^c   Wassef, Youssef ^c   Gerig, Lee ^a,b,c  

^a OTTAWA REGIONAL CANCER CENTRE   (Canada)

^b CARLETON UNIVERSITY   (Canada)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Gold standard; Prostate delineation; Systematic error

Indexed keywords

ARTICLE; BLADDER; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; GEOMETRY; HISTOGRAM; HUMAN; HUMAN TISSUE; MALE; OBSERVER VARIATION; PHOTOGRAPHY; PRIORITY JOURNAL; PROSTATE; PROSTATE CANCER; RECTUM; STATISTICAL ANALYSIS; SYSTEMATIC ERROR; TUMOR VOLUME; VISIBLE HUMAN PROJECT;

HUMANS; MALE; ORGAN SIZE; PROSTATE; TOMOGRAPHY, X-RAY COMPUTED; UNITED STATES; VISIBLE HUMAN PROJECTS;

EID: 36348974528     PISSN: 01678140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.radonc.2007.08.001     Document Type: Article

References (27)

1. Bucci M.K., Bevan A., and Roach III M. Advances in radiation therapy: conventional to 3D, to IMRT, to 4D, and beyond. CA Cancer J Clin 55 (2005) 117-134
2. Mackie T.R., Holmes T., Swerdloff S., et al. Tomotherapy: a new concept for the delivery of dynamic conformal radiotherapy. Med Phys 20 (1993) 1709-1719
3. Fung A.Y., Grimm S.Y., Wong J.R., et al. Computed tomography localization of radiation treatment delivery versus conventional localization with bony landmarks. J Appl Clin Med Phys 4 (2003) 112-119
4. Bayouth J.E., Wendt D., and Morrill S.M. MLC quality assurance techniques for IMRT applications. Med Phys 30 (2003) 743-750
5. Balter J.M., Lam K.L., Sandler H.M., et al. Automated localization of the prostate at the time of treatment using implanted radiopaque markers: technical feasibility. Int J Radiat Oncol Biol Phys 33 (1995) 1281-1286
6. Chen L., Price Jr. R.A., Nguyen T.B., et al. Dosimetric evaluation of MRI-based treatment planning for prostate cancer. Phys Med Biol 49 (2004) 5157-5170
7. Beavis A.W. Is tomotherapy the future of IMRT?. Br J Radiol 77 (2004) 285-295
8. van Herk M. Errors and margins in radiotherapy. Semin Radiat Oncol 14 (2004) 52-64
9. Leunens G., Menten J., Weltens C., et al. Quality assessment of medical decision making in radiation oncology: variability in target volume delineation for brain tumours. Radiother Oncol 29 (1993) 169-175
10. Rasch C., Barillot I., Remeijer P., et al. Definition of the prostate in CT and MRI: a multi-observer study. Int J Radiat Oncol Biol Phys 43 (1999) 57-66
11. Cazzaniga L.F., Marinoni M.A., Bossi A., et al. Interphysician variability in defining the planning target volume in the irradiation of prostate and seminal vesicles. Radiother Oncol 47 (1998) 293-296
12. Saarnak A.E., Boersma M., van Bunningen B.N., et al. Inter-observer variation in delineation of bladder and rectum contours for brachytherapy of cervical cancer. Radiother Oncol 56 (2000) 37-42
13. Weltens C., Menten J., Feron M., et al. Interobserver variations in gross tumor volume delineation of brain tumors on computed tomography and impact of magnetic resonance imaging. Radiother Oncol 60 (2001) 49-59
14. Ackerman M.J., Spitzer V.M., Scherzinger A.L., et al. The visible human data set: an image resource for anatomical visualization. Medinfo 8 (1995) 1195-1198
15. B. Han. Development of systems for 3D target/organ definitions and contouring, M.Sc. Dissertation. Ottawa, Canada: Carleton University; 2004.
16. Stroom J.C., de Boer H.C., Huizenga H., et al. Inclusion of geometrical uncertainties in radiotherapy treatment planning by means of coverage probability. Int J Radiat Oncol Biol Phys 43 (1999) 905-919
17. Fiorino C., Reni M., Bolognesi A., et al. Intra- and inter-observer variability in contouring prostate and seminal vesicles: implications for conformal treatment planning. Radiother Oncol 47 (1998) 285-292
18. Dale E., Hellebust T.P., Bruland O.S., et al. Comparative analyses of the dynamic properties of the rectum studied by cryo-sections of human cadavers and pelvic CT scans of patients. Br J Radiol 76 (2003) 104-108
19. Behre H.M., Bohmeyer J., and Nieschlag E. Prostate volume in testosterone-treated and untreated hypogonadal men in comparison to age-matched normal controls. Clin Endocrinol (Oxf) 40 (1994) 341-349
20. Remeijer P., Rasch C., Lebesque J.V., et al. A general methodology for three-dimensional analysis of variation in target volume delineation. Med Phys 26 (1999) 931-940
21. Parker C.C., Damyanovich A., Haycocks T., et al. Magnetic resonance imaging in the radiation treatment planning of localized prostate cancer using intra-prostatic fiducial markers for computed tomography co-registration. Radiother Oncol 66 (2003) 217-224
22. Livsey J.E., Wylie J.P., Swindell R., et al. Do differences in target volume definition in prostate cancer lead to clinically relevant differences in normal tissue toxicity?. Int J Radiat Oncol Biol Phys 60 (2004) 1076-1081
23. Villeirs G.M., Van Vaerenbergh K., Vakaet L., et al. Interobserver Delineation Variation Using CT Versus Combined CT + MRI in Intensity-Modulated Radiotherapy for Prostate Cancer. Strahlenther Onkol 181 (2005) 424-430
24. Roach III M., Faillace-Akazawa P., Malfatti C., et al. Prostate volumes defined by magnetic resonance imaging and computerized tomographic scans for three-dimensional conformal radiotherapy. Int J Radiat Oncol Biol Phys 35 (1996) 1011-1018
25. Debois M., Oyen R., Maes F., et al. The contribution of magnetic resonance imaging to the three-dimensional treatment planning of localized prostate cancer. Int J Radiat Oncol Biol Phys 45 (1999) 857-865
26. Zhang M., Moiseenko V., Liu M., et al. Internal fiducial markers can assist dose escalation in treatment of prostate cancer: result of organ motion simulations. Phys Med Biol 51 (2006) 269-285
27. van Herk M., Remeijer P., Rasch C., et al. The probability of correct target dosage: dose-population histograms for deriving treatment margins in radiotherapy. Int J Radiat Oncol Biol Phys 47 (2000) 1121-1135