Characteristics of magnetic resonance imaging biomarkers in a natural history study of golden retriever muscular dystrophy

Neuromuscular Disorders

Volumn 24, Issue 2, 2014, Pages 178-191

  Fan, Zheng ^a   Wang, Jiahui ^a   Ahn, Mihye ^b   Shiloh Malawsky, Yael ^a   Chahin, Nizar ^a   Elmore, Sandra ^a   Bagnell, C Robert ^a   Wilber, Kathy ^a   An, Hongyu ^a   Lin, Weili ^a   Zhu, Hongtu ^b   Styner, Martin ^a,c   Kornegay, Joe N ^a,d  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b The University of North Carolina at Chapel Hill   (United States)

^c CB 3175 Sitterson Hall   (United States)

^d TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Biomarker; GRMD; MRI; Muscular dystrophy; T2 mapping; Texture analysis

Indexed keywords

BIOMARKER; GRMD; MRI; MUSCULAR DYSTROPHY; T2 MAPPING; TEXTURE ANALYSIS;

ANIMALS; BODY WEIGHT; CONNECTIVE TISSUE; DISEASE PROGRESSION; DOG DISEASES; DOGS; FEMUR; HINDLIMB; MAGNETIC RESONANCE IMAGING; MUSCLE, SKELETAL; MUSCULAR DYSTROPHY, ANIMAL; NECROSIS; ORGAN SIZE; QUADRICEPS MUSCLE; ROC CURVE;

EID: 84893715834     PISSN: 09608966     EISSN: 18732364     Source Type: Journal    
DOI: 10.1016/j.nmd.2013.10.005     Document Type: Article

References (36)

1. Cheung J.Y., Bonventre J.V., Mails C.D., et al. Calcium and ischemic injury. N Engl J Med 1986, 314:1670-1676.
2. Edwards R.H., Newham D.J., Jones D.A., et al. Role of mechanical damage in pathogenesis of proximal myopathy in man. Lancet 1984, 1(8376):548-552.
3. Hoffman E.P., Brown R.H., Kunkel L.M. Dystrophin: the protein product of the Duchenne muscular dystrophy locus. Cell 1987, 51(6):919-928.
4. Bulfield G., Siller W.G., Wight P.A., et al. X chromosome-linked muscular dystrophy (mdx) in the mouse. Proc Natl Acad Sci USA 1984, 81(4):1189-1192.
5. Cooper B.J., Winand N.J., Stedman H., et al. The homologue of the Duchenne locus is defective in X-linked muscular dystrophy of dogs. Nature 1988, 334(6178):154-156.
6. Kornegay J.N., Tuler S.M., Miller D.M., et al. Muscular dystrophy in a litter of golden retriever dogs. Muscle Nerve 1988, 11(10):1056-1064.
7. Kornegay J.N., Bogan J.R., Bogan D.J., et al. Canine models of Duchenne muscular dystrophy and their use in therapeutic strategies. Mamm Genome 2012, 23(1-2):85-108.
8. Brooke M.H., Griggs R.C., Mendell J.R., et al. Clinical trial in Duchenne dystrophy. I. The design of the protocol. Muscle Nerve 1981, 4(3):186-197.
9. Kobayashi M., Nakamura A., Hasegawa D., et al. Evaluation of dystrophic dog pathology by fat-suppressed T2-weighted imaging. Muscle Nerve 2009, 40(5):815-826.
10. Thibaud J.L., Azzabou N., Barthelemy I., et al. Comprehensive longitudinal characterization of canine muscular dystrophy by serial NMR imaging of GRMD dogs. Neuromuscul Disord 2012, 22:S85-S99.
11. Yokota T., Lu Q.L., Partridge T., et al. Efficacy of systemic morpholino exon-skipping in Duchenne dystrophy dogs. Ann Neurol 2009.
12. Le Guiner C., Montus C.M., Servais L., et al. Effctive limb transduction and pehotypic correcton after injection of rAAV8-U7 snRNA in GRMD dogs. Mol Ther 2011, 19(S29):S29.
13. Wang J., Fan Z., Vandenborne K., et al. A computerized MRI biomarker quantification scheme for a canine model of Duchenne muscular dystrophy. Int J Comput Assist Radiol Surg 2013.
14. Childers M.K., Okamura C.S., Bogan D.J., et al. Myofiber injury and regeneration in a canine homologue of Duchenne muscular dystrophy. Am J Phys Med Rehabil 2001, 80(3):175-181.
15. Engel, A., Myology. 3rd ed. 2004: McGraw-Hill Professional; 3 edition. 1960.
16. Schneider C.A., Rasband W.S., Eliceiri K.W. NIH Image to ImageJ: 25years of image analysis. Nat Methods 2012, 9(7):671-675.
17. Briguet A., Courdier-Fruh I., Foster M., et al. Histological parameters for the quantitative assessment of muscular dystrophy in the mdx-mouse. Neuromuscul Disord 2004, 14(10):675-682.
18. Hennig J., Weigel M., Scheffler K. Multiecho sequences with variable refocusing flip angles: optimization of signal behavior using smooth transitions between pseudo steady states (TRAPS). Magn Reson Med 2003, 49(3):527-535.
19. Hennig J., Speck O., Scheffler K. Optimization of signal behavior in the transition to driven equilibrium in steady-state free precession sequences. Magn Reson Med 2002, 48(5):801-809.
20. Wang J, Fan Z, Kornegay JN, Styner M. MRI-based quantification of Duchenne muscular dystrophy in a canine model. proceedings of SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional, Imaging, 2011;7965: 79650G1-7965G9.
21. Kornegay J.N., Cundiff D.D., Bogan D.J., et al. The cranial sartorius muscle undergoes true hypertrophy in dogs with golden retriever muscular dystrophy. Neuromuscul Disord 2003, 13(6):493-500.
22. Yushkevich P.A., Piven J., Hazlett H.C., et al. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 2006, 31(3):1116-1128.
23. Wang J, Fan Z, Kornegay JN, Styner M. Enhanced Atlas Selection for Multi-Atlas Segmentation with Application to Leg Muscle MRI. MICCAI 2012 Workshop on Multi-atlas Labeling, 2012(2012).
24. Wang J, Fan Z, Vandenborne K, et al. Statistical texture analysis based MRI quantification of Duchenne muscular dystrophy in a canine model. Proceedings of SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2013. In press.
25. Wang J, Fan Z, Vandenborne K, et al. A computerized MRI biomarker quantification scheme for a canine model of Duchenne muscular dystrophy. International Journal of Computer Assisted Radiology and Surgery, 2013. (in print).
26. Galloway M. Texture analysis using gray level run lengths. Comput Graph Image Process 1975, 4(4):172-179.
27. Herlidou S., Rolland Y., Bansard J.Y., Le Rumeur E., de Certaines J.D., et al. Comparison of automated and visual texture analysis in MRI: characterization of normal and diseased skeletal muscle. Magn Reson Imaging 1999, 17(9):1393-1397.
28. Mahmoud-Ghoneim D., Cherel Y., Lemaire L., de Certaines J.D., Maniere A., et al. Texture analysis of magnetic resonance images of rat muscles during atrophy and regeneration. Magn Reson Imaging 2006, 24(2):167-171.
29. Kim H.K., Laor T., Horn P.S., Racadio J.M., Wong B., Dardzinski B.J., et al. T2 mapping in Duchenne muscular dystrophy: distribution of disease activity and correlation with clinical assessments. Radiology 2010, 255(3):899-908.
30. Laird N.M., Ware J.H. Random-effects models for longitudinal data. Biometrics 1982, 38(4):963-974.
31. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B 1995, 57(1):289-300.
32. Mann H., Whitney D. On a test of whether one of two random variables is stochastically larger than the other. Ann Math Stat 1941, 18(1):50-60.
33. Fisher R.A. The statistical utilization of multiple measurements. Ann Eugenics 1938, 8(4):376-386.
34. R Core Team. R: A language and environment for statistical computing. 2004 [dated 2013]; Available from: http://www.R-project.org/.
35. Kornegay J.N., Childers M.K., Bogan D.J., et al. The paradox of muscle hypertrophy in muscular dystrophy. Phys Med Rehabil Clin N Am 2012, 23(1):149-172. xii.
36. Walter G., Cordier L., Bloy D., Sweeney H.L., et al. Noninvasive monitoring of gene correction in dystrophic muscle. Magn Reson Med 2005, 54(6):1369-1376.