Abstract
Cerebral cavernous malformations (CCM) are divided into sporadic and familial forms. For clinical imaging, T2-weighted gradient-echo sequences have been shown to be more sensitive than conventional sequences. Recently more advanced imaging techniques such as high-field and susceptibility-weighted magnetic resonance imaging has been employed for the evaluation of CCMs. Furthermore, diffusion tensor imaging and functional magnetic resonance imaging have been applied to the preoperative and intraoperative management of these lesions. In this paper, the authors attempt to provide a concise review of the emerging imaging methods utilized in the clinical diagnosis and treatment of CCMs.
Keywords: magnetic resonance imaging, cavernoma, cavernous malformations, susceptibility-weighted imaging, gradient echo, functional magnetic resonance imaging
Cerebral cavernous malformations (CCM) are present in roughly 0.5% of the population17,44. These lesions are made up of clusters of deformed vessels, lined by endothelium and filled with blood at various stages of thrombosis12,20. The annual risk of hemorrhage ranges from 0.7 to 1.1% per lesion per year44. Typically, patients with single lesions have a sporadic form of the disease, while those with multiple lesions (10–31% of all cases) often have an autosomal dominant form localizable to the CCM1, CCM2 or CCM3 gene loci7,18,28,32,45. The hallmark of familial CCM is the presence of multifocal lesions throughout the brain with the appearance of new lesions over time26. The sporadic form of CCM is often characterized by a solitary lesion (or a cluster of lesions) in association with a DVA3.
Prior to the widespread use of MR imaging, CCMs were thought to be rare entities. Modern MR imaging sequences are highly sensitive for detecting CCMs as well as associated hemorrhage at various stages of thrombosis and reorganization30. Typically, T2-weighted sequences portray these lesions as areas of mixed signal intensity, with a central complicated core and a peripheral rim of decreased signal intensity9,16. T2-weighted gradient-echo (T2*GRE) imaging has been promoted as the gold standard MR imaging sequence for both sporadic and familial CCMs30,54. In the current study, we review the current literature and describe the use of emerging imaging techniques being utilized for the diagnosis and treatment of this entity.
Methods
The PUBMED and MEDLINE databases were searched for publications from 1966 to the present using MeSH terms “cavernoma”, “cavernous malformation”, “imaging”, “diffusion tensor imaging”, “susceptibility weighted”, “gradient echo”, “functional MR imaging”, “Tesla” and “High field MR imaging”. The search was limited to articles in the English language and relating to human subjects. Reference sections of recent articles and reviews were reviewed and pertinent articles identified. Initially, relevant articles were retrieved in abstract format. Full-text manuscripts were subsequently obtained for all original articles applicable to the current review. The review was supplemented by work currently in progress at the authors’ institutions.
Results and Discussion
Conventional MRI Features of CCM
Conventional MRI sequences (T1- and T2-weighted imaging) have been associated with the ability to identify clinically symptomatic CCM lesions with a specificity and sensitivity nearing 100%42. Many CCMs have a characteristic MR imaging appearance which includes a peripheral ring of hypointensity secondary to hemosiderin deposition in the surrounding parenchyma from repeated micro-hemorrhages43. Some authors describe this manifestation as an imaging appearance associated with a limited differential diagnosis19. A classification system based on imaging and pathologic features has been reported to stratify these heterogeneous lesions54. Type I lesions are characterized by hyperintensity on both T1- and T2-weighted images (depending on the state of methemoglobin) which is consistent with subacute hemorrhage16. In Type II malformations, loculated regions of hemorrhage are surrounded by gliosis and hemosiderin-stained brain parenchyma. These CCMs exhibit a mixed-signal intensity core on both T1- and T2-weighted images, with a well-circumscribed hypointense rim on T2-weighted imaging, and are the classic CCM with a “popcorn” appearance and a predilection to produce recurrent symptoms11. Type III lesions demonstrate a core that is iso- or hypointense on T1-weighted sequences and hypointense on T2-weighted sequences as well as a rim that is hypointense on T2-weighted sequences, compatible with chronic resolved hemorrhage or hemosiderin within and surrounding the lesion. Type IV malformations are minute lesions often seen as punctate hypointense foci on GRE MR images. Pathologically, Type 4 lesions may represent capillary telangiectasias or early stage CCMs seen frequently in the familial form33,43,54. The appearance of CCM may vary by MR imaging sequence as a result of differential magnetic susceptibility of blood products at different ages within the lesion, and the surrounding hemosiderin ring (Fig. 1).
Contrast enhanced imaging is particularly useful in the diagnostic evaluation of CCM, and in clarifying differential diagnosis. The presence of an associated DVA is more likely to define the nongenetic nonfamilial form of the disease3,20. Also, the presence of an associated DVA may influence surgical decisions, especially with regard to surgical maneuvers aimed at avoiding injury to the DVA and consequences of venous ischemia. The concept of lesion cure with surgical resection must be tempered when resecting a solitary CCM but leaving behind an overt DVA (which could later contribute to CCM recurrence). Contrast enhancement may delineate patterns of overt enhancement consistent with other pathology than CCM, particularly tumors (homogeneous enhancement), or arteriovenous malformation (serpiginous enhancement). Finally, punctate enhancement in association with CCM’s on enhanced T1 images, without hemosiderin “blossoming” on T2*GRE sequences, has been suggested to represent capillary telangiectasia, most commonly reported in the pons as well as in the bed of DVAs40.
Diagnosis of CCM - Gradient Echo
Areas of the brain containing hemosiderin-laden tissue demonstrate a more recognizable hypointensity on T2-weighted GRE than either T2-weighted conventional spin-echo (SE) or fast spin echo (FSE) MR sequences due to magnetic susceptibility effects4,8,21,23. As such, T2*-weighted GRE imaging has been recommended as the most sensitive technique to evaluate CCM lesions in both the sporadic and familial forms of the disease30,54. During an in-depth evaluation of 57 French families with a history of familial CCM, Labauge et al27 found approximately 5% probability that conventional MR imaging, without a T2*GRE sequence, would fail to spot a CCM. Furthermore, these authors reported mean number of lesions per person was five on standard MR imaging, while on T2*GRE sequences, the mean number of lesions detected was 16 (p<0.001)27. Other authors have reported a higher sensitivity with T2*GRE when compared to other sequences as well10,39. In evaluating a 3 generation family with familial CCM, Lehnhardt et al.30 compared standard T1-weighted and T2-weighted SE sequences to T2*GRE sequences and noted a dramatically improved sensitivity with regard to lesion number and disease extension. When evaluating CCMs in association with DVA, the T2*GRE sequences may exclude or better delineate associated CCMs (Fig. 2).
The advantages of T2*GRE must be tempered by the effect of hemosiderin “blossoming” which effectively increases the apparent size of the CCM lesion. Hence, lesions may appear to extend to a pial or ependymal surface by T2*GRE, while in fact they are surrounded by several millimeters of normal or simply hemosoiderin stained brain tissue. This is extremely important to realize when planning surgical approaches to lesions in brainstem, or other eloquent or deep-seated locations. Also, T2*GRE sequences often reveal multifocal lesions in the setting of elderly patients with hypertension and history stroke, and the lesions often are distributed in the same territory as hypertensive angiopathy, and should be differentiated in clinical context from CCM (Fig. 3). Currently, T2*GRE sequences are considered an essential adjunct to the MR imaging of CCM. They are the method of choice in the sensitivity of detection and diagnosis of CCM, but should be supplemented by other sequences for more precise lesion definition, and by careful differential diagnosis.
Emerging Concepts in CCM Imaging
High Field MR Imaging
At present, low-flow vascular malformations, such as CCMs, are most frequently evaluated with standard 1.5 Tesla MR imaging based upon hemosiderin-induced susceptibility effects, which cause signal cancellations visible on T2*GRE sequences29. With standard imaging techniques, roughly 30% of epilepsy patients are not found to have an underlying lesion; some authors have posited an improved detection of CCMs could aid in the identification of CCMs (causing cryptogenic seizures) not visualized at 1.5 T22,46. Several authors have investigated the imaging effects of high field MRI in both experimental and clinical settings36,38,46,48,49. Shenkar et al.48,49 evaluated ex-vivo human CCMs and murine CCMs by high-resolution MRI at 9.4 or 14.1 T. The results obtained by using high-field MR imaging correlated with the histopathological findings using confocal microscopy, confirming angioarchitecture of CCMs at near histological resolution48,49. Novak et al.36 reported a case of a 55 year old with a frontal hemorrhage, although at 1.5 Tesla the CCM was not apparent. When closely analyzed, the CCM appeared larger and signal loss was several times greater on 8 T MR images than on 1.5-T images36. Schlamann et al.46 performed imaging on 10 consecutive CCM patients at 1.5 and 7 T. These authors found one additional hypointensity which was not visible in the 1.5 T examination, and multiple new small hypointense lesions were detected at 7 T in a patient with familial CCM. However, because of increased susceptibility artifacts, these lesions appeared on average 11% larger in the 7 Tesla images46. Given that magnetic susceptibility artifact is known to increase with the field strength and is readily captured by T2*GRE, CCMs not readily apparent on 1.5-T MR imaging may become more decisively detectable with higher magnetic field strengths1,2. Furthermore, these authors assessed lesion prevalence at high field using SW imaging, and at lower field using GRE sequences46. As a result, it remains unknown if the increased sensitivity reported by those authors is attributable to high field per se, or to SW imaging sequences as discussed below.
Susceptibility-Weighted MR Imaging
The CCM lesions contain deoxyhemoglobin and hemosiderin, which causes susceptibility effects and a decrease in signal intensity on T2-weighted sequences. Susceptibility weighted imaging provides a new mode that is particularly suited for imaging vascular malformations as it is very sensitive to deoxyhemoglobin and iron content6,53. This sequence is assembled from both magnitude and phase images from a high-resolution, 3D velocity-compensated GRE sequence41. Currently, this method is believed to be the only imaging method capable of appropriately detecting nonhemorrhagic cavernomas and telangiectasias38. Lee et al.29 were the first to describe the use of SW imaging for imaging cavernomas. These authors presented a series of 10 patients who underwent both T2-weighted and SW MR imaging and found that not only were the margins of the CCMs better delineated, by SW imaging also revealed 2 additional lesions that were not seen on T2-weighted images29. Cooper et al.15 reported a case of a 59 year-old familial CCM patient in which SW imaging detected nearly triple the number of lesions compared to the T2*GRE sequences. Pinker et al.38 evaluated 17 patients harboring CCMs with a standard 1.5 T MR imaging in comparison to a 3-T MR imaging which included the SW imaging sequences. In this series, the 3-T SW MR imaging found an additional 7 lesions in 6 patients; however, it is unclear whether these patients had sporadic or familial CCMs. In a recent study, based on 15 subjects with familial CCMs and a mean age of 34 years old, de Souza et al.16 found the following average number of lesions per patient: 5.7 on T2-weighted imaging; 26.3 on T2*GRE imaging and 45.6 on SW imaging. Thus the number of lesions seen on SW imaging was 1.7 times higher than that of T2*GRE (p=0.001)16. In the largest study to date, 23 cases were assessed by the senior author (IAA) and colleagues in Montpellier, France, which confirmed nearly twice the number of lesions detected by SW imaging as compared to T2*GRE sequences; however, this phenomena was only observed in the 14 familial cases. In none of 9 cases with solitary CCM or clustered lesions in the bed of a DVA did the SW imaging recognize additional lesions other than those noted on T2*GRE images (Menjot, et al., manuscript in preparation). Hence, SW imaging seems to increase the sensitivity of lesion detection in familial multifocal CCM lesions, it does not per se appear to reveal lesion multiplicity that had not been already demonstrated by T2*GRE (Figs. 4 and 5). The SW images are highly sensitive to delineation of associated venous anomalies, and possibly telangiectasias, without the need for contrast enhancement. This feature may be a significant advantage in pregnant patients, those with renal impairment and patients with allergic reactions to Gd-based contrast agents.
While SW imaging is not yet widely available it is possible that, given the early clinical data suggesting its effectiveness, it may be added into the routine imaging assessment of vascular malformations as improvements in software technology allow its acquisition and dissemination. These sequences might provide endophenotypic markers of disease burden in familial CCM that should be correlated with disease penetrance and aggressiveness in different individuals and kindreds, and with the response to potential therapeutic interventions.
The ultimate applicability of SW imaging is limited by several factors. First, as with T2*GRE, it is difficult to differentiate small venous structures from small hemorrhage and thrombosis. However, sequential SW imaging before and after Gd administration, could ameliorate this deficiency31. As previously noted, the higher sensitivity of SW sequences may not apply to sporadic or solitary CCMs, or CCM clusters associated with DVA. While SW imaging has shown greater ability to identify lesions in familial CCM, the necessity to apply this imaging modality to sporadic CCMs has yet to be demonstrated. We are not aware of a case in which a solitary lesion was detected on T2*GRE that was later found to be associated with occult lesion multiplicity on the more sensitive SW imaging (Fig. 5). As such, future studies should specifically address SW imaging sensitivity in cases of sporadic CCM, those associated with DVA and radiation induced CCMs.
Finally, the nature of those lesions which are delineated on SW imaging and remain occult on T2*GRE remains unclear (Fig. 4). Some may be better resolved in the 3D sequence acquisition of SW imaging, while they may have been diminished by “volume averaging” in the typically 2D acquisition of T2*GRE images. The occult punctate lesions may also represent non-hemorrhagic capillary telangiectasias, often reported in conjunction with CCM, which could also represent precursors to more mature CCMs5.
Imaging in Intraoperative Management
The Use of Diffusion Tensor Imaging
Diffusion tensor imaging is an MR imaging technique that may be effectively used to visualize the directionality and orientation of white matter tracts in the brain37. Diffusion tensor tractography has been effectively used to evaluate the charactericstics of the hemosiderin rim surrounding CCMs as well as in surgical planning for the resection of CCM in eloquent areas11,13,14,35. Cauley et al11 performed DT tractography on 18 patients with solitary CCMs and found that white matter tracts deviated around the center of CCMs, often passing through the hemosiderin rim. Niizuma et al35 successfully utilized DT with fiber tracking to determine the location of the displaced corticospinal tract in the removal of a paraventricular CCM. Chen et al13,14 have reported the used of DT imaging for the removal of several brainstem lesions including a CCM. They reported DT fiber tracking revealed the anatomical relationship between the local eloquent tracts and the CCM, thus altering their approach and preventing patient morbidity14. Several authors speculate DTI may be a useful preoperative imaging evaluation for patients with deep-seated lesions impinging upon white matter tracts14,35. Thus, the use of DTI may enhance the decision making process in the selection of surgical approaches by providing an enhanced understanding the relevant functional tracts.
Use of fMR Imaging
Functional MR imaging has the ability to integrate anatomic and functional information. Preoperatively, this imaging technique has the capacity to provide a useful representation of both task-related hemodynamic changes in the associated cortical area as well as the pathology through a single imaging modality25. An early case report described the successful use of fMR imaging in the preoperative assessment of a left central CCM34. Thickbroom et al52 evaluated blood-O2-level-dependent contrast fMR imaging in 3 CCM patients and noted some difficulty in correctly isolating the critical regions of eloquent cortex secondary to the associated susceptibility effect. Schlosser et al47, working with the senior author (I.A.A.), did not report any such difficulty. These authors continue to utilize fMR imaging in clinical practice, even in cases with recent bleeding (Fig. 6). The data from fMR imaging is often supplemented by intraoperative mapping of sensorimotor sulcus by reversal of evoked potential amplitude or direct cortical stimulation55. Zotta et al.56 used traditional MR imaging and fMR imaging fusion to aid in preoperative planning as well as intraoperative guidance. In this series, the authors achieved greater rates of seizure freedom in the group of CCMs in eloquent areas operated with the aid of fMR imaging as compared to the group without this modality56. While fMR imaging has demonstrated a clear benefit over other modalities such as brain mapping or somatosensory evoked potentials for tumors located in primary motor cortex, more comprehensive studies to evaluate this technique in the setting of CCMs are needed50. Specifically, an improved outcome may be attributed to fMR imaging information, while in fact it was achieved because of a combination of information modalities. In CCM, functional data may affect the surgical route chosen to a lesion, and also the extent of resection of perilesional epileptogenic brain in cases with intractable epilepsy24,51,56.
Conclusions
Prior to the advent of MRI, evaluation of CCMs was limited to diagnostic angiography and CT. Currently, MR imaging is the best imaging method to evaluate CCMs, with T2*GRE sequences being described as the “gold standard.”10,30,54 As the use of more advanced imaging techniques continues to achieve widespread distribution, high-field MR imaging and SW MR imaging are likely to become commonplace for the diagnosis and follow-up of these lesions. Additionally, applications such as DT imaging and fMR imaging may achieve more relevance as intraoperative navigational modalities for deep-seated lesions in eloquent areas.
Abbreviations used in the paper
- CCM
cerebral cavernous malformation
- DT
diffusion tensor
- DVA
developmental venous anomaly
- GRE
gradient echo
- fMR
functional MR
- SW
susceptibility weighted
- T2*GRE
T2-weighted GRE
Footnotes
Disclosure
The authors report no conflict of interest concerning the materials or methods used in this study or the findings specified in this paper. IAA is supported by grant from the NIH/NINDS for research on cerebral cavernous malformation, including advanced imaging techniques (R01-NS060748).
References
- 1.Abduljalil AM, Kangarlu A, Yu Y, Robitaille PM. Macroscopic susceptibility in ultra high field MRI. II: acquisition of spin echo images from the human head. J Comput Assist Tomogr. 1999;23:842–844. doi: 10.1097/00004728-199911000-00005. [DOI] [PubMed] [Google Scholar]
- 2.Abduljalil AM, Robitaille PM. Macroscopic susceptibility in ultra high field MRI. J Comput Assist Tomogr. 1999;23:832–841. doi: 10.1097/00004728-199911000-00004. [DOI] [PubMed] [Google Scholar]
- 3.Abdulrauf SI, Kaynar MY, Awad IA. A comparison of the clinical profile of cavernous malformations with and without associated venous malformations. Neurosurgery. 1999;44:41–46. doi: 10.1097/00006123-199901000-00020. discussion 46–47. [DOI] [PubMed] [Google Scholar]
- 4.Atlas SW, Mark AS, Grossman RI, Gomori JM. Intracranial hemorrhage: gradient-echo MR imaging at 1.5 T. Comparison with spin-echo imaging and clinical applications. Radiology. 1988;168:803–807. doi: 10.1148/radiology.168.3.3406410. [DOI] [PubMed] [Google Scholar]
- 5.Awad IA, Robinson JR, Jr, Mohanty S, Estes ML. Mixed vascular malformations of the brain: clinical and pathogenetic considerations. Neurosurgery. 1993;33:179–188. doi: 10.1227/00006123-199308000-00001. discussion 188. [DOI] [PubMed] [Google Scholar]
- 6.Barnes SR, Haacke EM. Susceptibility-weighted imaging: clinical angiographic applications. Magn Reson Imaging Clin N Am. 2009;17:47–61. doi: 10.1016/j.mric.2008.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Bergametti F, Denier C, Labauge P, Arnoult M, Boetto S, Clanet M, et al. Mutations within the programmed cell death 10 gene cause cerebral cavernous malformations. Am J Hum Genet. 2005;76:42–51. doi: 10.1086/426952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bradley WG., Jr MR appearance of hemorrhage in the brain. Radiology. 1993;189:15–26. doi: 10.1148/radiology.189.1.8372185. [DOI] [PubMed] [Google Scholar]
- 9.Brunereau L, Labauge P, Tournier-Lasserve E, Laberge S, Levy C, Houtteville JP. Familial form of intracranial cavernous angioma: MR imaging findings in 51 families. French Society of Neurosurgery. Radiology. 2000;214:209–216. doi: 10.1148/radiology.214.1.r00ja19209. [DOI] [PubMed] [Google Scholar]
- 10.Brunereau L, Leveque C, Bertrand P, Tranquart E, Cordoliani Y, Rouleau P, et al. Familial form of cerebral cavernous malformations: evaluation of gradient-spin-echo (GRASE) imaging in lesion detection and characterization at 1.5 T. Neuroradiology. 2001;43:973–979. doi: 10.1007/s002340100628. [DOI] [PubMed] [Google Scholar]
- 11.Cauley KA, Andrews T, Gonyea JV, Filippi CG. Magnetic resonance diffusion tensor imaging and tractography of intracranial cavernous malformations: preliminary observations and characterization of the hemosiderin rim. J Neurosurg. 112:814–823. doi: 10.3171/2009.8.JNS09586. [DOI] [PubMed] [Google Scholar]
- 12.Challa VR, Moody DM, Brown WR. Vascular malformations of the central nervous system. J Neuropathol Exp Neurol. 1995;54:609–621. doi: 10.1097/00005072-199509000-00001. [DOI] [PubMed] [Google Scholar]
- 13.Chen X, Weigel D, Ganslandt O, Buchfelder M, Nimsky C. Diffusion tensor imaging and white matter tractography in patients with brainstem lesions. Acta Neurochir (Wien) 2007;149:1117–1131. doi: 10.1007/s00701-007-1282-2. discussion 1131. [DOI] [PubMed] [Google Scholar]
- 14.Chen X, Weigel D, Ganslandt O, Fahlbusch R, Buchfelder M, Nimsky C. Diffusion tensor-based fiber tracking and intraoperative neuronavigation for the resection of a brainstem cavernous angioma. Surg Neurol. 2007;68:285–291. doi: 10.1016/j.surneu.2007.05.005. discussion 291. [DOI] [PubMed] [Google Scholar]
- 15.Cooper AD, Campeau NG, Meissner I. Susceptibility-weighted imaging in familial cerebral cavernous malformations. Neurology. 2008;71:382. doi: 10.1212/01.wnl.0000319659.86629.c8. [DOI] [PubMed] [Google Scholar]
- 16.de Souza JM, Domingues RC, Cruz LC, Jr, Domingues FS, Iasbeck T, Gasparetto EL. Susceptibility-weighted imaging for the evaluation of patients with familial cerebral cavernous malformations: a comparison with t2-weighted fast spin-echo and gradient-echo sequences. AJNR Am J Neuroradiol. 2008;29:154–158. doi: 10.3174/ajnr.A0748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Del Curling O, Jr, Kelly DL, Jr, Elster AD, Craven TE. An analysis of the natural history of cavernous angiomas. J Neurosurg. 1991;75:702–708. doi: 10.3171/jns.1991.75.5.0702. [DOI] [PubMed] [Google Scholar]
- 18.Denier C, Goutagny S, Labauge P, Krivosic V, Arnoult M, Cousin A, et al. Mutations within the MGC4607 gene cause cerebral cavernous malformations. Am J Hum Genet. 2004;74:326–337. doi: 10.1086/381718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Dillon WP. Cryptic vascular malformations: controversies in terminology, diagnosis, pathophysiology, and treatment. AJNR Am J Neuroradiol. 1997;18:1839–1846. [PMC free article] [PubMed] [Google Scholar]
- 20.Gault J, Sarin H, Awadallah NA, Shenkar R, Awad IA. Pathobiology of human cerebrovascular malformations: basic mechanisms and clinical relevance. Neurosurgery. 2004;55:1–16. discussion 16–17. [PubMed] [Google Scholar]
- 21.Haque TL, Miki Y, Kanagaki M, Takahashi T, Yamamoto A, Konishi J, et al. MR contrast of ferritin and hemosiderin in the brain: comparison among gradient-echo, conventional spin-echo and fast spin-echo sequences. Eur J Radiol. 2003;48:230–236. doi: 10.1016/s0720-048x(03)00054-8. [DOI] [PubMed] [Google Scholar]
- 22.Huang CW, Hsieh YJ, Tsai JJ, Pai MC. Cognitive performance in cryptogenic epilepsy. Acta Neurol Scand. 2005;112:228–233. doi: 10.1111/j.1600-0404.2005.00480.x. [DOI] [PubMed] [Google Scholar]
- 23.Kim JK, Kucharczyk W, Henkelman RM. Cavernous hemangiomas: dipolar susceptibility artifacts at MR imaging. Radiology. 1993;187:735–741. doi: 10.1148/radiology.187.3.8497623. [DOI] [PubMed] [Google Scholar]
- 24.Komotar RJ, Mikell CB, McKhann GM., 2nd “Epilepsy surgery” versus lesionectomy in patients with seizures secondary to cavernous malformations. Clin Neurosurg. 2008;55:101–107. [PubMed] [Google Scholar]
- 25.Krings T, Reinges MH, Erberich S, Kemeny S, Rohde V, Spetzger U, et al. Functional MRI for presurgical planning: problems, artefacts, and solution strategies. J Neurol Neurosurg Psychiatry. 2001;70:749–760. doi: 10.1136/jnnp.70.6.749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Labauge P, Brunereau L, Levy C, Laberge S, Houtteville JP. The natural history of familial cerebral cavernomas: a retrospective MRI study of 40 patients. Neuroradiology. 2000;42:327–332. doi: 10.1007/s002340050893. [DOI] [PubMed] [Google Scholar]
- 27.Labauge P, Laberge S, Brunereau L, Levy C, Tournier-Lasserve E. Hereditary cerebral cavernous angiomas: clinical and genetic features in 57 French families. Societe Francaise de Neurochirurgie. Lancet. 1998;352:1892–1897. doi: 10.1016/s0140-6736(98)03011-6. [DOI] [PubMed] [Google Scholar]
- 28.Laberge-le Couteulx S, Jung HH, Labauge P, Houtteville JP, Lescoat C, Cecillon M, et al. Truncating mutations in CCM1, encoding KRIT1, cause hereditary cavernous angiomas. Nat Genet. 1999;23:189–193. doi: 10.1038/13815. [DOI] [PubMed] [Google Scholar]
- 29.Lee BC, Vo KD, Kido DK, Mukherjee P, Reichenbach J, Lin W, et al. MR high-resolution blood oxygenation level-dependent venography of occult (low-flow) vascular lesions. AJNR Am J Neuroradiol. 1999;20:1239–1242. [PMC free article] [PubMed] [Google Scholar]
- 30.Lehnhardt FG, von Smekal U, Ruckriem B, Stenzel W, Neveling M, Heiss WD, et al. Value of gradient-echo magnetic resonance imaging in the diagnosis of familial cerebral cavernous malformation. Arch Neurol. 2005;62:653–658. doi: 10.1001/archneur.62.4.653. [DOI] [PubMed] [Google Scholar]
- 31.Lin W, Mukherjee P, An H, Yu Y, Wang Y, Vo K, et al. Improving high-resolution MR bold venographic imaging using a T1 reducing contrast agent. J Magn Reson Imaging. 1999;10:118–123. doi: 10.1002/(sici)1522-2586(199908)10:2<118::aid-jmri2>3.0.co;2-v. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Liquori CL, Berg MJ, Siegel AM, Huang E, Zawistowski JS, Stoffer T, et al. Mutations in a gene encoding a novel protein containing a phosphotyrosine-binding domain cause type 2 cerebral cavernous malformations. Am J Hum Genet. 2003;73:1459–1464. doi: 10.1086/380314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Maraire JN, Awad IA. Intracranial cavernous malformations: lesion behavior and management strategies. Neurosurgery. 1995;37:591–605. doi: 10.1227/00006123-199510000-00001. [DOI] [PubMed] [Google Scholar]
- 34.Moller-Hartmann W, Krings T, Coenen VA, Mayfrank L, Weidemann J, Kranzlein H, et al. Preoperative assessment of motor cortex and pyramidal tracts in central cavernoma employing functional and diffusion-weighted magnetic resonance imaging. Surg Neurol. 2002;58:302–307. doi: 10.1016/s0090-3019(02)00869-8. discussion 308. [DOI] [PubMed] [Google Scholar]
- 35.Niizuma K, Fujimura M, Kumabe T, Higano S, Tominaga T. Surgical treatment of paraventricular cavernous angioma: fibre tracking for visualizing the corticospinal tract and determining surgical approach. J Clin Neurosci. 2006;13:1028–1032. doi: 10.1016/j.jocn.2004.11.025. [DOI] [PubMed] [Google Scholar]
- 36.Novak V, Chowdhary A, Abduljalil A, Novak P, Chakeres D. Venous cavernoma at 8 Tesla MRI. Magn Reson Imaging. 2003;21:1087–1089. doi: 10.1016/j.mri.2003.05.003. [DOI] [PubMed] [Google Scholar]
- 37.Pierpaoli C, Jezzard P, Basser PJ, Barnett A, Di Chiro G. Diffusion tensor MR imaging of the human brain. Radiology. 1996;201:637–648. doi: 10.1148/radiology.201.3.8939209. [DOI] [PubMed] [Google Scholar]
- 38.Pinker K, Stavrou I, Szomolanyi P, Hoeftberger R, Weber M, Stadlbauer A, et al. Improved preoperative evaluation of cerebral cavernomas by high-field, high-resolution susceptibility-weighted magnetic resonance imaging at 3 Tesla: comparison with standard (1.5 T) magnetic resonance imaging and correlation with histopathological findings--preliminary results. Invest Radiol. 2007;42:346–351. doi: 10.1097/01.rli.0000262744.85397.fc. [DOI] [PubMed] [Google Scholar]
- 39.Porter PJ, Willinsky RA, Harper W, Wallace MC. Cerebral cavernous malformations: natural history and prognosis after clinical deterioration with or without hemorrhage. J Neurosurg. 1997;87:190–197. doi: 10.3171/jns.1997.87.2.0190. [DOI] [PubMed] [Google Scholar]
- 40.Pozzati E, Marliani AF, Zucchelli M, Foschini MP, Dall’Olio M, Lanzino G. The neurovascular triad: mixed cavernous, capillary, and venous malformations of the brainstem. J Neurosurg. 2007;107:1113–1119. doi: 10.3171/JNS-07/12/1113. [DOI] [PubMed] [Google Scholar]
- 41.Reichenbach JR, Haacke EM. High-resolution BOLD venographic imaging: a window into brain function. NMR Biomed. 2001;14:453–467. doi: 10.1002/nbm.722. [DOI] [PubMed] [Google Scholar]
- 42.Rigamonti D, Johnson PC, Spetzler RF, Hadley MN, Drayer BP. Cavernous malformations and capillary telangiectasia: a spectrum within a single pathological entity. Neurosurgery. 1991;28:60–64. [PubMed] [Google Scholar]
- 43.Rivera PP, Willinsky RA, Porter PJ. Intracranial cavernous malformations. Neuroimaging Clin N Am. 2003;13:27–40. doi: 10.1016/s1052-5149(02)00060-6. [DOI] [PubMed] [Google Scholar]
- 44.Robinson JR, Awad IA, Little JR. Natural history of the cavernous angioma. J Neurosurg. 1991;75:709–714. doi: 10.3171/jns.1991.75.5.0709. [DOI] [PubMed] [Google Scholar]
- 45.Sahoo T, Johnson EW, Thomas JW, Kuehl PM, Jones TL, Dokken CG, et al. Mutations in the gene encoding KRIT1, a Krev-1/rap1a binding protein, cause cerebral cavernous malformations (CCM1) Hum Mol Genet. 1999;8:2325–2333. doi: 10.1093/hmg/8.12.2325. [DOI] [PubMed] [Google Scholar]
- 46.Schlamann M, Maderwald S, Becker W, Kraff O, Theysohn JM, Mueller O, et al. Cerebral cavernous hemangiomas at 7 Tesla: initial experience. Acad Radiol. 17:3–6. doi: 10.1016/j.acra.2009.10.001. [DOI] [PubMed] [Google Scholar]
- 47.Schlosser MJ, McCarthy G, Fulbright RK, Gore JC, Awad IA. Cerebral vascular malformations adjacent to sensorimotor and visual cortex. Functional magnetic resonance imaging studies before and after therapeutic intervention. Stroke. 1997;28:1130–1137. doi: 10.1161/01.str.28.6.1130. [DOI] [PubMed] [Google Scholar]
- 48.Shenkar R, Venkatasubramanian PN, Wyrwicz AM, Zhao JC, Shi C, Akers A, et al. Advanced magnetic resonance imaging of cerebral cavernous malformations: part II. Imaging of lesions in murine models. Neurosurgery. 2008;63:790–797. doi: 10.1227/01.NEU.0000315862.24920.49. discussion 797–798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Shenkar R, Venkatasubramanian PN, Zhao JC, Batjer HH, Wyrwicz AM, Awad IA. Advanced magnetic resonance imaging of cerebral cavernous malformations: part I. High-field imaging of excised human lesions. Neurosurgery. 2008;63:782–789. doi: 10.1227/01.NEU.0000325490.80694.A2. discussion 789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Shinoura N, Yamada R, Suzuki Y, Kodama T, Sekiguchi K, Takahashi M, et al. Functional magnetic resonance imaging is more reliable than somatosensory evoked potential or mapping for the detection of the primary motor cortex in proximity to a tumor. Stereotact Funct Neurosurg. 2007;85:99–105. doi: 10.1159/000098524. [DOI] [PubMed] [Google Scholar]
- 51.Stavrou I, Baumgartner C, Frischer JM, Trattnig S, Knosp E. Long-term seizure control after resection of supratentorial cavernomas: a retrospective single-center study in 53 patients. Neurosurgery. 2008;63:888–896. doi: 10.1227/01.NEU.0000327881.72964.6E. discussion 897. [DOI] [PubMed] [Google Scholar]
- 52.Thickbroom GW, Byrnes ML, Morris IT, Fallon MJ, Knuckey NW, Mastaglia FL. Functional MRI near vascular anomalies: comparison of cavernoma and arteriovenous malformation. J Clin Neurosci. 2004;11:845–848. doi: 10.1016/j.jocn.2003.10.016. [DOI] [PubMed] [Google Scholar]
- 53.Wycliffe ND, Choe J, Holshouser B, Oyoyo UE, Haacke EM, Kido DK. Reliability in detection of hemorrhage in acute stroke by a new three-dimensional gradient recalled echo susceptibility-weighted imaging technique compared to computed tomography: a retrospective study. J Magn Reson Imaging. 2004;20:372–377. doi: 10.1002/jmri.20130. [DOI] [PubMed] [Google Scholar]
- 54.Zabramski JM, Wascher TM, Spetzler RF, Johnson B, Golfinos J, Drayer BP, et al. The natural history of familial cavernous malformations: results of an ongoing study. J Neurosurg. 1994;80:422–432. doi: 10.3171/jns.1994.80.3.0422. [DOI] [PubMed] [Google Scholar]
- 55.Zhou H, Miller D, Schulte DM, Benes L, Rosenow F, Bertalanffy H, et al. Transsulcal approach supported by navigation-guided neurophysiological monitoring for resection of paracentral cavernomas. Clin Neurol Neurosurg. 2009;111:69–78. doi: 10.1016/j.clineuro.2008.09.025. [DOI] [PubMed] [Google Scholar]
- 56.Zotta D, Di Rienzo A, Scogna A, Ricci A, Ricci G, Galzio RJ. Supratentorial cavernomas in eloquent brain areas: application of neuronavigation and functional MRI in operative planning. J Neurosurg Sci. 2005;49:13–19. [PubMed] [Google Scholar]