Usefulness of perfusion weighted magnetic resonance imaging with signal-intensity curves analysis in the differential diagnosis of sellar and parasellar tumors: Preliminary report

Bladowska, Joanna; Zimny, Anna; Guziński, Maciej; Hałoń, Agnieszka; Tabakow, Paweł; Czyż, Marcin; Czapiga, Bogdan; Jarmundowicz, Włodzimierz; Sąsiadek, Marek

doi:10.1016/j.ejrad.2013.01.033

Cited by 22 publications

(15 citation statements)

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“…For the T2*-weighted signal intensity curves, three major points were identified: SI post -the signal intensity at the end of the DSC-PWI process, SI min -the signal intensity at the minimum of the signal intensity-time curve after contrast arrival, and SI pre -the signal intensity at precontrast baseline. The PSR was calculated with the following equation by Cha et al [9,7]: PSR=(SI post −SI min )/(SI pre −SI min )×100 %, while the PH was calculated using the following equation: PH= SI min −SI pre .…”

Section: Data Processingmentioning

confidence: 99%

“…The perfusion-weighted imaging that provides the noninvasive morphologic and functional status of the tumor microvasculature can be helpful in the preoperative evaluation and grading of brain tumors [7][8][9]. MR measurement of relative cerebral blood volume (rCBV) has become one of the most robust and standard hemodynamic variable used in the characterization of the brain tumors.…”

Section: Introductionmentioning

confidence: 99%

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Differentiation of hemangioblastomas from pilocytic astrocytomas using 3-T magnetic resonance perfusion-weighted imaging and MR spectroscopy

et al. 2014

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Section: Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Differentiation of hemangioblastomas from pilocytic astrocytomas using 3-T magnetic resonance perfusion-weighted imaging and MR spectroscopy

et al. 2014

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“…Indeed, benign hypervascularized tumors such as meningiomas and pituitary adenomas, for example, also show high rCBV values [22]. Notwithstanding, rCBV values correlates well with malignancy in gliomas, being widely employed for grading, differentiating and biopsy planning in such cases, as well as to determine prognosis and treatment monitoring [19], [22]; an exception to this are some low-grade oligodendrogliomas, which can demonstrate high rCBV values despite of their histological grading [1].…”

Section: Introductionmentioning

confidence: 99%

The Role of Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging in Differentiating between Infectious and Neoplastic Focal Brain Lesions: Results from a Cohort of 100 Consecutive Patients

et al. 2013

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Background and PurposeDifferentiating between infectious and neoplastic focal brain lesions that are detected by conventional structural magnetic resonance imaging (MRI) may be a challenge in routine practice. Brain perfusion-weighted MRI (PWI) may be employed as a complementary non-invasive tool, providing relevant data on hemodynamic parameters, such as the degree of angiogenesis of lesions. We aimed to employ dynamic susceptibility contrast-enhanced perfusion MR imaging (DSC-MRI) to differentiate between infectious and neoplastic brain lesions by investigating brain microcirculation changes.Materials and MethodsDSC-MRI perfusion studies of one hundred consecutive patients with non-cortical neoplastic (n = 54) and infectious (n = 46) lesions were retrospectively assessed. MRI examinations were performed using a 1.5-T scanner. A preload of paramagnetic contrast agent (gadolinium) was administered 30 seconds before acquisition of dynamic images, followed by a standard dose 10 seconds after starting imaging acquisitions. The relative cerebral blood volume (rCBV) values were determined by calculating the regional cerebral blood volume in the solid areas of lesions, normalized to that of the contralateral normal-appearing white matter. Discriminant analyses were performed to determine the cutoff point of rCBV values that would allow the differentiation of neoplastic from infectious lesions and to assess the corresponding diagnostic performance of rCBV when using this cutoff value.ResultsNeoplastic lesions had higher rCBV values (4.28±2.11) than infectious lesions (0.63±0.49) (p<0.001). When using an rCBV value <1.3 as the parameter to define infectious lesions, the sensitivity of the method was 97.8% and the specificity was 92.6%, with a positive predictive value of 91.8%, a negative predictive value of 98.0%, and an accuracy of 95.0%.ConclusionPWI is a useful complementary tool in distinguishing between infectious and neoplastic brain lesions; an elevated discriminatory value for diagnosis of infectious brain lesions was observed in this sample of patients when the rCBV cutoff value was set to 1.3.

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“…4,24 Intracranial cavernous haemangiomas represent 5-13% of all central nervous system vascular malformations, and are classified as intra-or extra-axial. Extra-axial cavernous haemangiomas in the parasellar cavernous sinus account for $0.4-2% of all intracranial cavernous haemangiomas and < 2% of parasellar lesions.…”

Section: Discussionmentioning

confidence: 99%

The role of magnetic resonance diffusion-weighted imaging and three-dimensional arterial spin labelling perfusion imaging in the differentiation of parasellar meningioma and cavernous haemangioma

et al. 2014

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Objective: To evaluate the diagnostic value of magnetic resonance diffusion-weighted imaging (DWI) and three-dimensional arterial spin labelling perfusion imaging (3D-ASL) in distinguishing cavernous haemangioma from parasellar meningioma, using histological data as a reference standard. Methods: Patients with parasellar meningioma or parasellar cavernous haemangioma underwent conventional T 1 -and T 2 -weighted magnetic resonance imaging (MRI) followed by DWI and 3D-ASL using a 3.0 Tesla MRI. The minimum apparent diffusion coefficient (minADC) from DWI and the maximal normalized cerebral blood flow (nCBF) from 3D-ASL were measured in each tumour. Diagnosis was confirmed by histology. Results: MinADC was significantly lower and nCBF significantly higher in meningioma (n ¼ 19) than cavernous haemangioma (n ¼ 15). There was a significant negative correlation between minADC and nCBF (r ¼ À0.605). Conclusion: DWI and 3D-ASL are useful in differentiating cavernous haemangiomas from parasellar meningiomas, particularly in situations when the appearance on conventional MRI sequences is otherwise ambiguous.

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Usefulness of perfusion weighted magnetic resonance imaging with signal-intensity curves analysis in the differential diagnosis of sellar and parasellar tumors: Preliminary report

Cited by 22 publications

References 23 publications

Differentiation of hemangioblastomas from pilocytic astrocytomas using 3-T magnetic resonance perfusion-weighted imaging and MR spectroscopy

Differentiation of hemangioblastomas from pilocytic astrocytomas using 3-T magnetic resonance perfusion-weighted imaging and MR spectroscopy

The Role of Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging in Differentiating between Infectious and Neoplastic Focal Brain Lesions: Results from a Cohort of 100 Consecutive Patients

The role of magnetic resonance diffusion-weighted imaging and three-dimensional arterial spin labelling perfusion imaging in the differentiation of parasellar meningioma and cavernous haemangioma

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