Gray Zones in Brain Tumor Classification

Trembath, Dimitri G.; Miller, C. Ryan; Perry, Arie

doi:10.1097/pap.0b013e3181836a03

Cited by 35 publications

(30 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, several studies report that histologic diagnosis of glioma established after stereotactic biopsy, from a single point in the tumor, is associated with a substantial risk of inaccuracy. 24 Moreover, a biopsy cannot always be obtained: some tumors are not accessible to the surgeon and no repeated biopsies of a brain tumor are performed during the therapeutic follow-up.…”

Section: Discussionmentioning

confidence: 99%

Microvascular MRI and Unsupervised Clustering Yields Histology-Resembling Images in Two Rat Models of Glioma

Coquery

Ochsenbein

Lemasson

et al. 2014

J Cereb Blood Flow Metab

View full text Add to dashboard Cite

Imaging heterogeneous cancer lesions is a real challenge. For diagnosis, histology often remains the reference, but it is widely acknowledged that biopsies are not reliable. There is thus a strong interest in establishing a link between clinical in vivo imaging and the biologic properties of tissues. In this study, we propose to construct histology-resembling images based on tissue microvascularization, a magnetic resonance imaging (MRI) accessible source of contrast. To integrate the large amount of information collected with microvascular MRI, we combined a manual delineation of a spatial region of interest with an unsupervised, model-based cluster analysis (Mclust). This approach was applied to two rat models of glioma (C6 and F98). Six MRI parameters were mapped: apparent diffusion coefficient, vessel wall permeability, cerebral blood volume fraction, cerebral blood flow, tissular oxygen saturation, and cerebral metabolic rate of oxygen. Five clusters, defined by their MRI features, were found to correspond to specific histologic features, and revealed intratumoral spatial structures. These results suggest that the presence of a cluster within a tumor can be used to assess the presence of a tissue type. In addition, the cluster composition, i.e., a signature of the intratumoral structure, could be used to characterize tumor models as histology does.

show abstract

Section: Discussionmentioning

confidence: 99%

Microvascular MRI and Unsupervised Clustering Yields Histology-Resembling Images in Two Rat Models of Glioma

Coquery

Ochsenbein

Lemasson

et al. 2014

J Cereb Blood Flow Metab

View full text Add to dashboard Cite

show abstract

“…GFAP is considered to be a general marker for astrocytes in the central nervous system (20). The accurate diagnosis of brain invasion is therefore critical and, in borderline cases, an immunohistochemical stain for GFAP aids in the delineation of entrapped glial elements within the substance of a brain-invasive meningioma (21).…”

Section: Case Reportmentioning

confidence: 99%

Pituicytoma: Report of two cases

et al. 2010

View full text Add to dashboard Cite

Abstract. This report describes two cases of pituicytoma. The two patients were female and presented with visual complaints, diabetes insipidus, headaches and menstrual disorders. The imaging characteristic was an intrasellar or suprasellar mass, and one mass originated in the pituitary stalk. The mass showed homogeneous enhancement with contrast administration. A hematoxylin and eosin stain showed a compact structure consisting of elongated, bipolar spindle cells arranged in interlacing fascicles or assuming a storiform pattern. Immunohistochemically, the tumor showed diffuse strong expression of S-100 protein, vimentin and epithelial membrane antigen, and glial fibrillary acidic protein was focally positive. The pituicytoma may have originated in the pituitary stalk and presented with diabetes insipidus, and the differential diagnosis should be compared with the pituitary stalk mass. Bleeding during resection was moderate, and surgery was regarded as the first choice of treatment for pituicytomas.

show abstract

“…In general, the pathological nature of meningioma determines its association with the brain parenchyma, which is that benign meningioma is usually compressive to the brain parenchyma due to its expansive growth, and malignant meningioma is invasive into the neighboring brain parenchyma due to its intrusive growth (5,6). However, clinical observations have indicated that there is a sub-group of benign meningioma displaying a malignant growth pattern, that is, invasion into the neighboring brain tissue (7)(8)(9)(10)(11). This sub-type of meningioma is usually unnoticed prior to surgical resection by the neurosurgeon, which can often result in damage of the neighboring brain tissue.…”

Section: Introductionmentioning

confidence: 96%

Invasive benign meningioma: Clinical characteristics, surgical strategies and outcomes from a single neurosurgical institute

2016

Experimental and Therapeutic Medicine

View full text Add to dashboard Cite

Abstract. The aim of the present study was to improve the prognosis for patients with invasive benign meningioma by increasing the precision of pre-operative evaluation and refining the surgical resection strategy. A retrospective review of all the cases of invasive benign meningioma admitted to a single institute from 2005 to 2010 was conducted. The clinical characteristics, magnetic resonance imaging (MRI) findings, refined surgical strategies and outcomes were summarized and analyzed. There were 19 cases of invasive benign meningioma among 254 cases of meningioma. Of the earliest 4 cases, a traditional extra-capsular surgical removal approach was applied, which resulted in permanent neurological deficits for all cases. A modified surgical strategy combining intra-and extra-capsular resection techniques was employed for the subsequent 15 cases, which lead to mild neurological impairment in only 1 case. Pre-operative recognition of this unique sub-type of meningioma maybe facilitated by its typical MRI study findings, and the combination of intra-and extra-capsular resection techniques may be of critical importance in achieving complete tumor removal while maintaining intact neurological functions.

show abstract

Gray Zones in Brain Tumor Classification

Cited by 35 publications

References 64 publications

Microvascular MRI and Unsupervised Clustering Yields Histology-Resembling Images in Two Rat Models of Glioma

Microvascular MRI and Unsupervised Clustering Yields Histology-Resembling Images in Two Rat Models of Glioma

Pituicytoma: Report of two cases

Invasive benign meningioma: Clinical characteristics, surgical strategies and outcomes from a single neurosurgical institute

Contact Info

Product

Resources

About