Comparison of apparent diffusion coefficient maps to T2-weighted images for target delineation in cervix cancer brachytherapy

Journal of Contemporary Brachytherapy

Volumn 3, Issue 4, 2011, Pages 193-198

  Esthappan, Jacqueline ^a   Ma, Daniel J ^a   Narra, Vamsidhar R ^b   Raptis, Constantine A ^b   Grigsby, Perry W ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Brachytherapy; Cervix cancer; Diffusion weighted imaging; Target delineation

Indexed keywords

ALGORITHM; ARTICLE; BRACHYTHERAPY; CANCER PATIENT; CLINICAL ARTICLE; CLINICAL ASSESSMENT; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; FEASIBILITY STUDY; HUMAN; INTERMETHOD COMPARISON; NUCLEAR MAGNETIC RESONANCE IMAGING; TUMOR VOLUME; UTERINE CERVIX CANCER;

EID: 84855384577     PISSN: 1689832X     EISSN: None     Source Type: Journal    
DOI: 10.5114/jcb.2011.26470     Document Type: Article

References (17)

1. Mitchell DG, Snyder B, Coakley F et al. Early invasive cervical cancer: tumor delineation by magnetic resonance imaging, computed tomography, and clinical examination, verified by pathologic results, in the ACRIN 6651/GOG 183 Intergroup Study. J Clin Oncol 2006; 24: 5687-5694. (Pubitemid 46631310)
2. Haie-Meder C, Potter R, Van Limbergen E et al. Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (I): concepts and terms in 3D image based 3D treatment planning in cervix cancer brachytherapy with emphasis on MRI assessment of GTV and CTV. Radiother Oncol 2005; 74: 235-245. (Pubitemid 40349132)
3. Nag S, Cardenes H, Chang S et al. Proposed guidelines for image-based intracavitary brachytherapy for cervical carcinoma: report from Image-Guided Brachytherapy Working Group. Int J Radiat Oncol Biol Phys 2004; 60: 1160-1172. (Pubitemid 39440802)
4. Potter R, Haie-Meder C, Van Limbergen E et al. Recommendations from gynaecological (GYN) GEC ESTRO working group (II): concepts and terms in 3D image-based treatment planning in cervix cancer brachytherapy-3D dose volume parameters and aspects of 3D image-based anatomy, radiation physics, radiobiology. Radiother Oncol 2006; 78: 67-77. (Pubitemid 43131038)
5. Chen J, Zhang Y, Liang B et al. The utility of diffusion-weighted MR imaging in cervical cancer. Eur J Radiol 2009; 74: 101-106.
6. Charles-Edwards EM, Messiou C, Morgan VA et al. Diffusion-weighted imaging in cervical cancer with an endovaginal technique: potential value for improving tumor detection in stage Ia and Ib1 disease. Radiology 2008; 249: 541-550.
7. Harry VN. Novel imaging techniques as response biomarkers in cervical cancer. Gynecol Oncol 2010; 116: 253-261.
8. Kilickesmez O, Bayramoglu S, Inci E et al. Quantitative diffusion-weighted magnetic resonance imaging of normal and diseased uterine zones. Acta Radiol 2009; 50: 340-347.
9. Liu Y, Bai R, Sun H et al. Diffusion-weighted magnetic resonance imaging of uterine cervical cancer. J Comput Assist Tomogr 2009; 33: 858-862.
10. McVeigh PZ, Syed AM, Milosevic M et al. Diffusion-weighted MRI in cervical cancer. Eur Radiol 2008; 18: 1058-1064.
11. Naganawa S, Sato C, Kumada H et al. Apparent diffusion coefficient in cervical cancer of the uterus: comparison with the normal uterine cervix. Eur Radiol 2005; 15: 71-78. (Pubitemid 40109773)
12. Payne GS, Schmidt M, Morgan VA et al. Evaluation of magnetic resonance diffusion and spectroscopy measurements as predictive biomarkers in stage 1 cervical cancer. Gynecol Oncol 2010; 116: 246-252.
13. Xue HD, Li S, Sun F, Sun HY et al. Clinical application of body diffusion weighted MR imaging in the diagnosis and pre operative N staging of cervical cancer. Chin Med Sci J 2008; 23: 133-137.
14. Levy A, Medjhoul A, Caramella C et al. Interest of diffusion-weighted echo-planar MR imaging and apparent diffusion coefficient mapping in gynecological malignancies: a review. J Magn Reson Imaging 2011; 33: 1020-1027.
15. Rolhlfing R, Brandt R, Menzel R et al. Quo vadis, atlas-based segementation? In: The Handbook of Medical Image Analysis. Volume III: Registration Models. Suri J, Wilson DL, Laxminarayan S (eds.). Kluwer Academic/Plenum Publishers, New York; Chapter ii: 435-486.
16. Zijdenbos AP, Dawant BM, Margolin RA et al. Morphometric analysis of white matter lesions in MR images: method and validation. IEEE Trans Med Imaging 1994; 13: 716-724.
17. Ma DJ, Zhu J, Grigsby PW. Utility of FDG-PET in Defining a High Risk GTV for Cervix Cancer. Int J Radiat Oncol Biol Phys 2009; 75: S148-149.