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Clinical Rating of Scans and Relationships to

Dalam dokumen Textbook of Traumatic Brain Injury (Halaman 116-124)

in Figure 5–14. The implications of such refined image anal-yses are obvious in studying the integrity and effects of TBI on motor, sensory, and language systems that have a known anatomical basis. It is likely that the use of such technology will make possible more refined image analysis of subtle per-turbations associated with TBI. Although these applications are a bit futuristic, DTI has current application in TBI, as il-lustrated in Figure 5–15, which depicts a patient who sus-tained TBI 20 years before DTI. Using what is called frac-tional anisotropy (FA), FA maps of the brain can be created in which brighter voxels represent greater anisotropy and thus greater integrity, directionality, or coherence. As clearly seen in Figure 5–15, through the use of the DTI technique there is a general loss of integrity throughout the brain in severe TBI, particularly in frontal regions.

Last, there is a host of functional imaging methods, dis-cussed in Chapter 6, Functional Imaging, that will be inte-grated with structural imaging in the future for the detec-tion of objective abnormalities that can be related to the neuropsychiatric state of the patient after a brain injury.

Clinical Rating of Scans

alized cerebral atrophy (note the ventricular dilatation and corpus callosum atrophy). Neuropsychologically, the patient manifested significant deficits in memory and ex-ecutive function.

Examples of the susceptibility of WM pathology in TBI have been demonstrated throughout this chapter as well as

elsewhere (Goetz et al. 2004; Graham et al. 2002). When MR imaging detects WM pathology, characteristic signal differences are present depending on the image sequence used (see Table 5–2). WM pathology, regardless of its etiol-ogy, is the basis of a wide variety of neuropsychiatric disor-ders (Filley 2001; Litcher and Cummings 2001). Simple rat-F I G U R E 5 – 1 6 . Clinical rating of cerebral atrophy.

In these images, left is on left. This patient sustained a severe TBI caused by a fall from a roof. As shown in A, the day-of-injury (DOI) computed tomography (CT) bone window clearly shows the location of a linear skull fracture (arrow) just beneath where major extracranial trauma occurred (note swelling in both A and B) as a result of blunt impact associated with the fall. On admission, the patient had a Glasgow Coma Scale score of 5. B: The clinical DOI CT scan showing the location of an epidural hematoma (bottom arrow) and massive swelling about the head (top arrow). Parts D (fluid-attenuated inversion recovery image) and E (T1 image) show the chronic effects of this injury manifested by ventricular dilatation as well as other pathology. As shown in B, the left aspect of the lateral ventricle is effaced by expanding pressure over the left hemisphere because of the hematoma and lateralized intraparenchymal edema. Nonetheless, even though the ventricle is distorted and some cerebrospinal fluid is displaced to the right lateral ventricle, the original size of the lateral ventricle can still be assessed in this DOI scan. Comparing ventricular size in the DOI scan in B with that shown in D and E, the follow-up magnetic resonance imaging clearly shows ventricular dilatation. E clearly shows the asymmetry of the lateral ventricle on the left, which represents some degree of hydrocephalus ex vacuo affected by volume loss of the major frontal lesion, shown in both D and E. Part F depicts the three-dimensional dorsal view of the lateral ventricle, which clearly shows general dilatation of the ventricular system. Note that the ventricle is nonspecifically expanded in F, a reflection of global volume loss seen in TBI. Also, note in C that temporal horns of the lateral ventricle are not visualized. This is common in moderate to severe TBI because of bilateral temporal lobe edema. In F, the temporal horns (arrows) are visible and dilated, an indication of temporal lobe atrophy that occurred over time from the DOI scan. Last, note that in D–F the ventricle is slightly asymmetric in its enlargement, reflective of the more lateralized damage to the left hemisphere.

ing methods for WM pathology were first used in aging and dementia (Victoroff et al. 1994) as well as in disorders such as multiple sclerosis and anoxic brain damage (Parkinson et al. 2002) that more selectively damage WM. More recently, these methods have been applied to TBI (Hopkins et al.

2003). When WM abnormalities are identified, they are rated on a four-point scale (same categories as the atrophy ratings given in the preceding paragraph) on the basis of their location and size. Much of the WM literature shows that damage to the periventricular region tends to be more disruptive of neurobehavioral and neurocognitive function by interrupting long coursing tracts that participate in inte-gration of function and speed of processing. Lesions more in the region of the centrum-semiovale may be more locally disruptive of function than productive of more global defi-cits (Bigler et al. 2002b, 2003). Figure 5–18 demonstrates a case of WM pathology and its rating and relationship to neuropsychological outcome in an older adolescent who sustained severe TBI in a head-on motor vehicle collision.

The last point to make is that in TBI, damage can oc-cur anywhere in the brain and be manifested in numerous

ways on neuroimaging studies. As a quick guide to the cli-nician, one should first view the brain for any differences in normal symmetry or obvious abnormalities or devia-tions from normal. Next, viewing the midsagittal view of the corpus callosum provides a quick reference regarding general WM integrity. Figure 5–5 provides a nice refer-ence of how normal symmetry should look, and Figure 5–8 shows an atrophic corpus callosum contrasted with a normal-appearing one. Next, viewing the ventricular sys-tem and cortical sulcal widths offers a quick reference of the degree of generalized atrophy. The third ventricle is particularly susceptible to enlargement in TBI, and clini-cal rating methods for such enlargement have been pub-lished by Groswasser et al. (Groswasser et al. 2002; Re-ider-Groswasser et al. 2002). Temporal horn dilation is often not only a sign of temporal lobe atrophy but also of atrophy of the hippocampus and amygdala (Bigler et al.

2002a). By reviewing the location and degree of the struc-tural imaging abnormality, the clinician may use that in-formation in the neuropsychiatric assessment, care, and treatment of the patient with TBI.

F I G U R E 5 – 1 7 . Temporal and frontal lobe clinical rating.

These ratings are based on Victoroff et al.’s (1994) method of lobular rating, again using a 4-point scale (0 = no atrophy, 0.5 = mild, 1.0

= moderate, and 2.0 = severe). These are all T1 images obtained approximately 3 years postinjury. Part A represents an axial view in which the red line shows the plane of the coronal cut, which is also reflected in D (vertical red line). The coronal plane is used for rating temporal lobe atrophy, as shown in B. The temporal lobe region rated is highlighted in C. There is marked temporal horn dilation, increased cerebrospinal fluid signal, and volume reduction noted in the temporal lobe rated (temporal atrophy rating = 2). Frontal atrophy is rated in the axial plane as shown in E, focusing on the anterior region of the frontal lobe as highlighted in F. The horizontal line shown in D shows the level of the axial cut in E and F. Attention is directed to the width of the frontal gyri and prominence of the interhemispheric fissure. The frontal atrophy rating is 2. Increased ratings of frontal or temporal atrophy are associated with deficits in cognitive ability, particularly short-term memory, attention/concentration, and executive function (see Bergeson et al. 2004).

F I G U R E 5 – 1 8 . White matter (WM) abnormalities and traumatic brain injury (TBI).

In these images, left is on left. As shown in the figures that are part of Table 5–3, different MR imaging sequences are sensitive to different aspects of WM damage. For clinical rating, the Victoroff et al. (1994) method is again used but is adapted to include fluid-attenuated inversion recovery image (FLAIR) and gradient recalled echo sequences. Lesions are “quantified” by their size and loca-tion. No lesion is rated as 0, small as 0.5, medium as 1.0, and large as 2.0. More explicit details for rating can be found in Parkinson et al. (2002). In the Victoroff et al. (1994) study, the WM lesions were hyperintense, or white, because they used T2- and proton density–weighted MR images. This is also true on the FLAIR sequence, but often these WM shear lesions are also associated with hemosiderin deposits, which classify oppositely as hypointense, or black. As shown in this illustration, the images at the top depict the boundaries for lesions within the periventricular (PV) area, defined by Victoroff et al. (1994) as hyperintensities hugging the ventricle. The image used (see A in the FLAIR sequence and B in the T2 sequence) is typically at the body of the lateral ventricle where the dorsal aspect of the head and body of the caudate nucleus can be visualized (partly identified by the white box). The centrum semiovale (CS) region is taken at a similar level to that for the lateral ventricle but is defined as residing outside the WM adjacent to the ventricle, which defines the PV region. The TBI patient in C (FLAIR) and D (T2) shows extensive white matter lesions in the CS region. Because the WM pathology seen in TBI may be more widely distributed than that observed in some other disorders, this rating method can be applied to any region of the brain or could be done lobe by lobe. The clinician using these rating methods should refer back to Victoroff et al.’s (1994) original for the standard comparisons as referenced for rating pathology. The Victoroff et al. (1994) method for rating WM hyperintensities can be adapted for use in rating WM pathology in TBI (Hopkins et al. 2003).

The patient shown in A and B is an adolescent female (the same FLAIR and T2 scans appear in Table 5–3) who sustained a severe TBI in a high-speed rollover motor vehicle accident. There is an obvious large residual hemorrhagic cortical contusion in the frontal region (arrow) that represents a mixture of gliotic tissue, old blood (hemosiderin), and cerebrospinal fluid (CSF). Note the ventricular asymmetry, particularly the expansion toward the lesion. In rating PV lesions, the signal intensity involving the WM that “hugs” the ventricle is rated. The signal intensity is abnormal in the box on the left that highlights the anterior aspect of the lateral ventricle in comparison with the box on the right. Note that the FLAIR sequence better defines the abnormality than the T2 image of this subject.

The WM rating abnormality is 1.0. The patient whose images are shown in C (FLAIR) and D (T2) also sustained a severe TBI after being ejected from a vehicle after impact. Extensive CS WM lesions are present that are rated as 2.0. A third patient is depicted in F–H who sustained a severe TBI as a consequence of a head-on collision. Initial CT imaging demonstrated numerous bilateral frontal petechial hemorrhages, the largest one located where the residual focal shear lesion is identified (arrow) in the T1 image (E). The FLAIR sequence (G) shows both PV and CS WM abnormalities, which can also be seen in the T2 image, although they are not always prominent there. The shear lesion has left a cavitation within the WM that has filled with CSF. The clinical rating in this patient is 1.0 for both PV and CS regions.

References

Adams JH, Graham DI, Jennett B: The neuropathology of the vegetative state after an acute brain insult. Brain 123:1327–

1338, 2000

Anderson CV, Bigler ED: The role of caudate nucleus and cor-pus callosum atrophy in trauma-induced anterior horn di-lation. Brain Inj 9:565–569, 1994

Anderson CV, Bigler ED: Ventricular dilation, cortical atrophy, and neuropsychological outcome following traumatic brain injury. J Neuropsychiatry Clin Neurosci 7:42–48, 1995 Anderson CV, Bigler ED, Blatter DD: Frontal lobe lesions,

dif-fuse damage, and neuropsychological functioning in trau-matic brain-injured patients. J Clin Exp Neuropsychol 17:900–908, 1995

Anderson CV, Wood DG, Bigler ED, et al: Lesion volume, in-jury severity, and thalamic integrity following head inin-jury.

J Neurotrauma 13:35–40, 1996

Arfanakis K, Haughton VM, Carew JD, et al: Diffusion tensor MR imaging in diffuse axonal injury. AJNR Am J Neurora-diol 23:794–802, 2002

Ariza M, Mataro M, Poca MA, et al: Influence of extraneurolog-ical insults on ventricular enlargement and neuropsycho-logical functioning after moderate and severe traumatic brain injury. J Neurotrauma 21:864–876, 2004

Atlas S: Magnetic Resonance Imaging of the Brain and Spine, 3rd Edition. Hagerstown, MD, Lippincott Williams & Wilkins, 2001

Bain AC, Raghupathi R, Meaney DF: Dynamic stretch corre-lates to both morphological abnormalities and electrophys-iological impairment in a model of traumatic axonal injury.

J Neurotrauma 18:499–511, 2001

Barker LH, Bigler ED, Johnson SC, et al: Polysubstance abuse and traumatic brain injury: quantitative magnetic reso-nance imaging and neuropsychological outcome in older adolescents and young adults. J Int Neuropsychol Soc 5:593–608, 1999

Bergeson AG, Lundin R, Parkinson RB, et al: Clinical rating of cortical atrophy and cognitive correlates following trau-matic brain injury. Clin Neuropsychol 18:1–12, 2004.

Bigler ED: Neuroimaging in pediatric traumatic head injury: di-agnostic considerations and relationships to neurobehavioral outcome. J Head Trauma Rehabil 14:70–87, 1999

Bigler ED: Neuroimaging and rehabilitation outcome, in Handbook of Rehabilitation Psychology. Edited by Frank RG, Elliott TR. Washington, DC, American Psychological Association, 2000, pp 441–474

Bigler ED: The lesion(s) in traumatic brain injury: implications for clinical neuropsychology. Arch Clin Neuropsychol 16(2):95–131, 2001a

Bigler ED: Structural and functional neuroimaging of traumatic brain injury, in State of the Art Reviews in Physical Medi-cine and Rehabilitation: Traumatic Brain Injury. Edited by McDeavitt JT. Philadelphia, Hanley and Belfus, 2001b, pp 349–361

Bigler ED, Tate DF: Brain volume, intracranial volume and de-mentia. Invest Radiol 36:539–546, 2001

Bigler ED, Paver S, Cullum CM, et al: Ventricular enlargement, cortical atrophy and neuropsychological performance fol-lowing head injury. Int J Neurosci 24:295–298, 1984 Bigler ED, Kurth S, Blatter D, et al: Degenerative changes in

traumatic brain injury: post-injury magnetic resonance iden-tified ventricular expansion compared to pre-injury levels.

Brain Res Bull 28:651–653, 1992

Bigler ED, Blatter DD, Johnson SC, et al: Traumatic brain in-jury, alcohol and quantitative neuroimaging: preliminary findings. Brain Inj 10:197–206, 1996a

Bigler ED, Johnson SC, Anderson CV, et al: Traumatic brain in-jury and memory: the role of hippocampal atrophy. Neu-ropsychology 10:333–342, 1996b

Bigler ED, Anderson CV, Blatter DD: Temporal lobe morphol-ogy in normal aging and traumatic brain injury. AJNR Am J Neuroradiol 23:255–266, 2002a

Bigler ED, Kerr B, Victoroff J, Tate D, et al: White matter le-sions, quantitative MRI and dementia. Alzheimer Dis Assoc Disord 16:161–170, 2002b

Bigler ED, Tate DF, Neeley ES, et al: Temporal lobe, autism and macrocephaly. AJNR Am J Neuroradiol 24:2066–2076, 2003 Bigler ED, Ryser DK, Gandhi P, et al: Day-of-injury computerised tomography, rehabilitation status, and long-term outcome as they relate to magnetic resonance imaging findings after trau-matic brain injury. Brain Impairment 5:122–123, 2004 Blatter DD, Bigler ED, Gale SD, et al: MR-based brain and

cerebrospinal fluid measurement after traumatic brain injury:

correlation with neuropsychological outcome. AJNR Am J Neuroradiol 18:1–10, 1997

Blumbergs PC, Scott G, Manavis J, et al: Staining of amyloid precursor protein to study axonal damage in mild head in-jury. Lancet 344:1055–1056, 1994

Bowen JM, Clark E, Bigler ED, et al: Childhood traumatic brain injury: neuropsychological status at the time of hospital dis-charge. Dev Med Child Neurol 39:17–25, 1997

Bramlett HM, Dietrich WD: Quantitative structural changes in white and gray matter 1 year following traumatic brain in-jury in rats. Acta Neuropathologica 103:607–614, 2002 Cullum CM, Bigler ED: Ventricle size, cortical atrophy and the

relationship with neuropsychological status in closed head injury: a quantitative analysis. J Clin Exp Neuropsychol 8:437–452, 1986

Derdeyn CP: Physiological neuroimaging: emerging clinical applications. JAMA 285:3065–3068, 2001

Diaz-Arrastia R, Agostini MA, Frol AB, et al: Neurophysiologic and neuroradiologic features of intractable epilepsy after trau-matic brain injury in adults. Arch Neurol 57:1611–1616, 2000 Dikmen S, Machamer J, Miller B, et al: Functional status exam-ination: a new instrument for assessing outcome in trau-matic brain injury. J Neurotrauma 18:127–140, 2001 Ding Y, Yao B, Lai Q, et al: Impaired motor learning and diffuse

axonal damage in motor and visual systems of the rat fol-lowing traumatic brain injury. Neurol Res 23:193–202, 2001

Eisenberg RL: Radiology: An Illustrated History. St. Louis, Mosby Year Book, 1992

Filley CM: The Behavioral Neurology of White Matter. Oxford and NY, Oxford University Press, 2001

Gale SD, Burr RB, Bigler ED, et al: Fornix degeneration and mem-ory in traumatic brain injury. Brain Res Bull 32:345–349, 1993 Gale SD, Johnson SC, Bigler ED, et al: Traumatic brain injury and temporal horn enlargement: correlates with tests of in-telligence and memory. Neuropsychiatry Neuropsychol Behav Neurol 7:160–165, 1994

Gale SD, Johnson SC, Bigler ED, et al: Nonspecific white mat-ter degeneration following traumatic brain injury. J Int Neuropsychol Soc 1:17–28, 1995a

Gale SD, Johnson SC, Bigler ED, et al: Trauma-induced de-generative changes in brain injury: a morphometric anal-ysis of three patients with preinjury and postinjury MR scans. J Neurotrauma 12:151–158, 1995b

Garnett MR, Blamire AM, Rajagopalan B, et al: Evidence for cellular damage in normal-appearing white matter corre-lates with injury severity in patients following traumatic brain injury: a magnetic resonance spectroscopy study.

Brain 123:1403–1409, 2000

Gean AD: Imaging of Head Trauma. New York, Raven Press, 1994 Goetz P, Blamire A, Rajagopalan B, et al: Increase in apparent diffusion coefficient in normal appearing white matter fol-lowing human traumatic brain injury correlates with injury severity. J Neurotrauma 21:645–654, 2004

Gorrie C, Duflou J, Brown J, et al: Extent and distribution of vascular brain injury in pediatric road fatalities. J Neu-rotrauma 18:849–860, 2001

Govindaraju V, Gauger GE, Manley GT, et al: Volumetric pro-ton spectroscopic imaging of mild traumatic brain injury.

AJNR Am J Neuroradiol 25:730–737, 2004

Graham DI, Gennarelli TA, McIntosh TK: Trauma, in Green-field’s Neuropathology, 7th Edition, Vol. 2. Edited by Gra-ham DI, Lantos PI. London, Arnold, 2002, pp 823–882 Groswasser Z, Reider G II, Schwab K, et al: Quantitative

imag-ing in late TBI, part II: cognition and work after closed and penetrating head injury: a report of the Vietnam head injury study. Brain Inj 16:681–690, 2002

Guo Z, Cupples LA, Kurz A, et al: Head injury and the risk of AD in the MIRAGE study. Neurology 54:1316–1323, 2000 Hall KM, Hamilton BB, Gordon WA, et al: Characteristics and comparisons of functional assessment indices: disability rat-ing scale, functional independence measure, and functional assessment measure. J Head Trauma Rehabil 8:60–74, 1993 Hamilton BB, Granger CV, Sherwin FS, et al: A uniform data system for medical rehabilitation, in Rehabilitation Out-comes: Analysis and Measurement. Edited by Fuhrer MJ.

Baltimore, MD, Brooks, 1987

Haydel MJ, Preston CA, Mills TJ, et al: Indications for computed tomography in patients with minor head injury. N Engl J Med 343:100–105, 2000

Henry-Feugas MC, Azouvi P, Fontaine A, et al: MRI analysis of brain atrophy after severe closed-head injury: relation to clinical status. Brain Inj 14:597–604, 2000

Hofman PA, Stapert SZ, van Kroonenburgh MJ, et al: MR im-aging, single-photon emission CT, and neurocognitive per-formance after mild traumatic brain injury. AJNR Am J Neuroradiol 22:441–449, 2001

Holsinger T, Steffens DC, Phillips C, et al: Head injury in early adulthood and the lifetime risk of depression. Arch Gen Psychiatry 59:17–22, 2002

Hopkins RO, McCourt A, Cleavinger HB, et al: White matter hyperintensities and neuropsychological outcome follow-ing traumatic brain injury. J Int Neuropsychol Soc 9:234, 2003

Jellison BJ, Field AS, Medow J, et al: Diffusion tensor imaging of cerebral white matter: a pictorial review of physics, fiber tract anatomy, and tumor imaging patterns. AJNR Am J Neuroradiol 25:356–369, 2004

Johnson SC, Bigler ED, Burr RB, et al: White matter atrophy, ventricular dilation, and intellectual functioning following traumatic brain injury. Neuropsychology 8:307–315, 1994 Johnson SC, Pinkston JB, Bigler ED, et al: Corpus callosum

morphology in normal controls and TBI: sex differences, mechanisms of injury, and neuropsychological correlates.

Neuropsychology 10:408–415, 1996

Jorge RE, Robinson RG, Moser D, et al: Major depression fol-lowing traumatic brain injury. Arch Gen Psychiatry 61:42–

50, 2004

Kurth SM, Bigler ED, Blatter DD: Neuropsychological out-come and quantitative image analysis of acute hemorrhage in traumatic brain injury: preliminary findings. Brain Inj 8:489–500, 1994

Laidlaw DH, Fleischer KW, Barr AH: Partial-volume Bayesian classification of material mixtures in MR volume data using voxel histograms. IEEE Trans Med Imaging 17:74–86, 1998 Lazar M, Weinstein DM, Tsuruda JS, et al: White matter trac-tography using diffusion tensor deflection. Human Brain Mapping, 18:306–321, 2003

Levin HS, Benavidez DA, Verger-Maestre K, et al: Reduction of corpus callosum growth after severe traumatic brain injury in children. Neurology 54:647–653, 2000

Levine B, Cabeza R, McIntosh AR, et al: Functional reorganisa-tion of memory after traumatic brain injury: a study with H(2)(15)0 positron emission tomography. J Neurol Neuro-surg Psychiatry 73:173–181, 2002

Litcher DG, Cummings JL: Frontal-subcortical circuits in psy-chiatric and neurologic disorders. New York, Guilford Press, 2001

Makris N, Worth AJ, Sorensen AG, et al: Morphometry of in vivo human white matter association pathways with diffu-sion-weighted magnetic resonance imaging. Ann Neurol 42:951–962, 1997

Marshall LF, Marshall SB, Klauber MR, et al: A new classifica-tion of head injury based on computerized tomography. J Neurosurg 75:S14–S20, 1991

Massman PJ, Bigler ED, Cullum CM, et al: The relationship be-tween cortical atrophy and ventricular volume in Alz-heimer’s disease and closed head injury. Int J Neurosci 30:87–99, 1986

McGowan JC, Yang JH, Plotkin RC, et al: Magnetization trans-fer imaging in the detection of injury associated with mild head trauma. AJNR Am J Neuroradiol 21:875–880, 2000 Orrison WW: Neuroimaging. Philadelphia, PA, WB Saunders,

2000

Parkinson RB, Hopkins RO, Cleavinger HB, et al: White mat-ter hyperintensities and neuropsychological outcome fol-lowing carbon monoxide poisoning. Neurology 58:1525–

1532, 2002

Plassman BL, Havlik RJ, Steffens DC, et al: Documented head injury in early adulthood and risk of Alzheimer’s disease and other dementias. Neurology 55:1158–1166, 2000

Primus EA, Bigler ED, Anderson CV, et al: Corpus striatum and traumatic brain injury. Brain Inj 11:577–586, 1997 Rappaport M, Hall KM, Hopkins K, et al: Disability rating scale

for severe head trauma: coma to community. Arch Phys Med Rehabil 63:118–123, 1982

Reider-Groswasser I, Groswasser Z, Ommaya AK, et al: Quan-titative imaging in late traumatic brain injury, part I: late imaging parameters in closed and penetrating head injuries.

Brain Inj 16:517–525, 2002

Scheid R, Preul C, Gruber O, et al: Diffuse axonal injury asso-ciated with chronic traumatic brain injury: evidence from T2*-weighted gradient-echo imaging at 3 T. Am J Neuro-radiol 24:1049–1056, 2003

Shiozaki T, Akai H, Taneda M, et al: Delayed hemispheric neu-ronal loss in severely head-injured patients. J Neurotrauma 18:665–674, 2001

Sinson GP, Bagley LJ, Cecil KM, et al: Magnetization transfer imaging and proton MR spectroscopy in the evaluation of axonal injury: correlation with clinical outcome after trau-matic brain injury. AJNR Am J Neuroradiol 22:143–151, 2001

State University of New York at Buffalo Department of Reha-bilitation Medicine, School of Medicine and Biochemical Sciences Center for Functional Assessment Research.

Guide for Use of the Uniform Data Set for Medical Reha-bilitation Including the Functional Independence Measure (FIM), Version 3.1. New York, State University of New York, 1987, 1990 Research Foundation, 1990

Strich SJ: Diffuse degeneration of the cerebral white matter in severe dementia following head injury. J Neurol Neurosurg Psychiatry 19:163–185, 1956

Tate D, Bigler ED: Fornix and hippocampal atrophy in traumatic brain injury. Learn Mem 7:442–446, 2000

Thatcher R, Camacho M, Salazar A, et al: Quantitative MRI of the gray-white matter distribution in traumatic brain inju-ry. J Neurotrauma 14:1–14, 1997

Toga AW, Thompson PM: Maps of the brain. Anat Rec 265:37–

53, 2001

Tong KA, Ashwal S, Holshouser BA, et al: Diffuse axonal injury in children: clincial correlation with hemorrhagic lesions.

Ann Neurol 56:36–50, 2004

Turkheimer E, Yeo RA, Bigler ED: Basic relations among lesion location, lesion volume and neuropsychological perfor-mance. Neuropsychologia 28:1011–1019, 1990

Umile EM, Sandel ME, Alavi A, et al: Dynamic imaging in mild traumatic brain injury: support for the theory of medial temporal vulnerability. Arch Phys Med Rehabil 83:1506–

1513, 2002

van der Naalt J, Hew JM, van Zomeren AH, et al: Computed to-mography and magnetic resonance imaging in mild to moderate head injury: early and late imaging related out-come. Ann Neurol 46:70–78, 1999

Vasa RA, Grados M, Slomine B, et al: Neuroimaging correlates of anxiety after pediatric traumatic brain injury. Biol Psy-chiatry 55:208–216, 2004

Victoroff J, Mack WJ, Grafton ST, et al: A method to improve interrater reliability of visual inspection of brain MRI scans in dementia. Neurology 44:2267–2276, 1994

Vos PE, Van Voskuilen AC, Beems T, et al: Evaluation of the trau-matic coma data bank computed tomography classification for severe head injury. J Neurotrauma 18:649–655, 2001 Wakana S, Jiang H, Nagae-Poetscher LM, et al: Fiber

tract-based atlas of human white matter anatomyq. Radiology 230:77–87, 2004

Wallesch C-W, Curio N, Galazky I, et al: The neuropsychology of blunt head injury in the early postacute stage: effects of focal lesions and diffuse axonal injury. J Neurotrauma 18:11–20, 2001

Wilson JTL, Wiedmann KD, Hadley DM, et al: Early and late magnetic resonance imaging and neuropsychological out-come after head injury. J Neurol Neurosurg Psychiatry 51:391–396, 1988

Wood DG, Bigler ED: Diencephalic changes in traumatic brain injury: relationship to sensory perceptual function. Brain Res Bull 38:545–549, 1995

Yount R, Raschke KA, Biru M, et al: Traumatic brain injury and atrophy of the cingulate gyrus. J Neuropsychiatry Clin Neurosci 14:416–423, 2002

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Dalam dokumen Textbook of Traumatic Brain Injury (Halaman 116-124)