Diagnostic performance of regional DTI-derived tensor metrics in glioblastoma multiforme: Simultaneous evaluation of p, q, L, Cl, Cp, Cs, RA, RD, AD, mean diffusivity and fractional anisotropy

European Radiology

Volumn 23, Issue 4, 2013, Pages 1112-1121

  Cortez Conradis, David ^a,b   Favila, Rafael ^c   Isaac Olive, Keila ^b   Martinez Lopez, Manuel ^a   Rios, Camilo ^d   Roldan Valadez, Ernesto ^a  

^a LIVER RESEARCH UNIT   (Mexico)

^b UNIVERSIDAD AUTÓNOMA DEL ESTADO DE MÉXICO   (Mexico)

^c GE HEALTHCARE   (United Kingdom)

^d NATIONAL INSTITUTE OF NEUROLOGY AND NEUROSURGERY   (Mexico)

Author keywords

Brain neoplasms; Diffusion tensor imaging; Magnetic resonance imaging; Sensitivity and specificity; Statistics as topic

Indexed keywords

GADOLINIUM PENTETATE MEGLUMINE;

ADULT; AGED; ARTICLE; BRAIN EDEMA; CASE CONTROL STUDY; CLINICAL ARTICLE; CONTROLLED STUDY; DIFFUSION COEFFICIENT; DIFFUSION TENSOR IMAGING; FEMALE; FRACTIONAL ANISOTROPY; GLIOBLASTOMA; HUMAN; MALE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; WHITE MATTER;

EID: 84878611567     PISSN: 09387994     EISSN: 14321084     Source Type: Journal    
DOI: 10.1007/s00330-012-2688-7     Document Type: Article

References (43)

1. Young GS (2007) Advanced MRI of adult brain tumors. Neurol Clin 25:947-973
2. Basser PJ, Pierpaoli C (1996) Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson B 111:209-219
3. Lu S, Ahn D, Johnson G, Law M, Zagzag D, Grossman RI (2004) Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration index. Radiology 232:221-228
4. Chenevert TL, Brunberg JA, Pipe JG (1990) Anisotropic diffusion in human white matter: demonstration with MR techniques in vivo. Radiology 177:401-405
5. Basser PJ, Mattiello J, LeBihan D (1994) MR diffusion tensor spectroscopy and imaging. Biophys J 66:259-267
6. Pena A, Green HA, Carpenter TA, Price SJ, Pickard JD, Gillard JH (2006) Enhanced visualization and quantification of magnetic resonance diffusion tensor imaging using the p:q tensor decomposition. Br J Radiol 79:101-109
7. Toh CH, Wei KC, Ng SH, Wan YL, Lin CP, Castillo M (2011) Differentiation of brain abscesses from necrotic glioblastomas and cystic metastatic brain tumors with diffusion tensor imaging. AJNR Am J Neuroradiol 32:1646-1651
8. Wang W, Steward CE, Desmond PM (2009) Diffusion tensor imaging in glioblastoma multiforme and brain metastases: the role of p, q, L, and fractional anisotropy. AJNR Am J Neuroradiol 30:203-208
9. Le Bihan D, Mangin JF, Poupon C et al. (2001) Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging JMRI 13:534-546
10. Freund P, Wheeler-Kingshott C, Jackson J, Miller D, Thompson A, Ciccarelli O (2010) Recovery after spinal cord relapse in multiple sclerosis is predicted by radial diffusivity. Mult Scler 16:1193-1202
11. Seidel C, Dorner N, Osswald M et al. (2011) Does age matter? - A MRI study on peritumoral edema in newly diagnosed primary glioblastoma. BMC Cancer 11:127
12. Rorden C, Karnath HO, Bonilha L MRIcron dicom to nifti converter(ed)^(eds). Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC). http://www.mccauslandcenter.sc.edu/mricro/mricron/dcm2nii.html Accessed June 07, 2012
13. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TEJ, Johansen-Berg H, Bannister PR, De Luca M, Drobnjak I, Flitney DE, Niazy R, Saunders J, Vickers J, Zhang Y, De Stefano N, Brady JM, Matthews PM (2004) Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23(S21):208-221
14. Smith SM (2002) Fast robust automated brain extraction. Hum Brain Mapp 17:143-155
15. Zhou XH, Obuchowski NA, McClish DK (2002) Statistical methods in diagnostic medicine. Wiley & Sons Interscience, New York
16. Obuchowski NA, McClish DK (1997) Sample size determination for diagnostic accuracy studies involving binormal ROC curve indices. Stat Med 16:1529-1542
17. Pallant J (2011) One-way analysis of variance. In: Pallant J (ed) SPSS Survival Manual, 4th edn. Allen & Unwin, Crows Nest, pp 249-264
18. Student (1927) Errors of routine analysis. Biometrika 19:151-164
19. Newman D (1939) The distribution of range in samples from a normal population, expressed in terms of an independent estimate of standard deviation. Biometrika 31:20-30
20. Keuls M (1952) The use of the "studentized range" in connection with an analysis of variance. Euphytica 1:112-122
21. Pallant J (2011) Calculating effect size. In: Pallant J (ed) SPSS Survival Manual, 4th edn. Allen & Unwin, Crows Nest, pp 254-255
22. Cohen JW (1988) Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates, Hillsdale
23. Park SH, Goo JM, Jo CH (2004) Receiver operating characteristic (ROC) curve: practical review for radiologists. Korean J Radiol 5:11-18
24. Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143:29-36
25. Obuchowski NA (2003) Receiver operating characteristic curves and their use in radiology. Radiology 229:3-8
26. DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837-845
27. Metz CE (1978) Basic principles of ROC analysis. Semin Nucl Med 8:283-298
28. Bossuyt PM, Reitsma JB, Bruns DE et al. (2003) The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med 138:W1-W12
29. (1997) Uniform requirements for manuscripts submitted to biomedical journals. International Committee of Medical Journal Editors. N Engl J Med 336:309-315
30. Guyatt GH, Tugwell PX, Feeny DH, Haynes RB, Drummond M (1986) A framework for clinical evaluation of diagnostic technologies. CMAJ Can Med Assoc J J Assoc Med Can 134:587-594
31. Schoenegger K, Oberndorfer S, Wuschitz B et al. (2009) Peritumoral edema on MRI at initial diagnosis: an independent prognostic factor for glioblastoma? Eur J Neurol Off J Eur Fed Neurol Soc 16:874-878
32. Wieshmann UC, Clark CA, Symms MR, Franconi F, Barker GJ, Shorvon SD (1999) Reduced anisotropy of water diffusion in structural cerebral abnormalities demonstrated with diffusion tensor imaging. Magn Reson Imaging 17:1269-1274
33. Stadlbauer A, Ganslandt O, Buslei R et al. (2006) Gliomas: histopathologic evaluation of changes in directionality and magnitude of water diffusion at diffusion-tensor MR imaging. Radiology 240:803-810
34. Price SJ, Pena A, Burnet NG et al. (2004) Tissue signature characterisation of diffusion tensor abnormalities in cerebral gliomas. Eur Radiol 14:1909-1917
35. Budde MD, Xie M, Cross AH, Song SK (2009) Axial diffusivity is the primary correlate of axonal injury in the experimental autoimmune encephalomyelitis spinal cord: a quantitative pixelwise analysis. J Neurosci Off J Soc Neurosci 29:2805-2813
36. Ozarslan E, Vemuri BC, Mareci TH (2005) Generalized scalar measures for diffusion MRI using trace, variance, and entropy. Magn Reson Med 53:866-876
37. Hasan KM, Alexander AL, Narayana PA (2004) Does fractional anisotropy have better noise immunity characteristics than relative anisotropy in diffusion tensor MRI? An analytical approach. Magn Reson Med 51:413-417
38. Jones DK (2008) Studying connections in the living human brain with diffusion MRI. Cortex J Devoted Stud Nerv Syst Behav 44:936-952
39. Tsuchiya K, Fujikawa A, Nakajima M, Honya K (2005) Differentiation between solitary brain metastasis and high-grade glioma by diffusion tensor imaging. Br J Radiol 78:533-537
40. van Westen D, Latt J, Englund E, Brockstedt S, Larsson EM (2006) Tumor extension in high-grade gliomas assessed with diffusion magnetic resonance imaging: values and lesion-to-brain ratios of apparent diffusion coefficient and fractional anisotropy. Acta Radiol 47:311-319
41. Roldan-Valadez E, Rios-Piedra E, Favila R, Alcauter S, Rios C (2012) Diffusion tensor imaging-derived measures of fractional anisotropy across the pyramidal tract are influenced by the cerebral hemisphere but not by gender in young healthy volunteers: a split-plot factorial analysis of variance (ANOVA). Chin Med J 125:2180-2187
42. Brunberg JA, Chenevert TL, McKeever PE et al. (1995) In vivo MR determination of water diffusion coefficients and diffusion anisotropy: correlation with structural alteration in gliomas of the cerebral hemispheres. AJNR Am J Neuroradiol 16:361-371
43. Basser PJ (1995) Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR Biomed 8:333-344