Is diffusion-weighted imaging useful in grading and differentiating histopathological subtypes of meningiomas?

Sanverdi, S. Eser; Özgen, Burçe; Oğuz, Kader K.; Mut, Melike; Dolgun, Anıl; Söylemezoğlu, Figen; Cila, Ayşenur

doi:10.1016/j.ejrad.2011.06.031

Cited by 96 publications

(76 citation statements)

References 15 publications

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“…According to Kono et al [8], the ADC is not indicative of the histologic subtype meningiomas. Sanverdi et al [16] has reported there is no existence of any additional value of the DW MR imaging to improve the diagnosis. Therefore, DW MR imaging and ADC measurements do not seem reliable in grading, and differentiating subtypes of meningiomas.…”

Section: Discussionmentioning

confidence: 99%

ADC is not reliable in determinating subtypes of meningiomas

Ignjatović

Stojanov²,

Stojanović³

et al. 2014

Open Medicine

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Section: Discussionmentioning

confidence: 99%

ADC is not reliable in determinating subtypes of meningiomas

Ignjatović

Stojanov²,

Stojanović³

et al. 2014

Open Medicine

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“…4,12,25,32,33,35,36 The absolute cutoff and reliability of ADC measurement is controversial, with different bvalues, areas of measurement (tumor peduncle, peripheral part of the tumor, and central region of the tumor), and methods of measurement (minimum ADC, mean ADC, maximum ADC, and normalized ADC) used in respective studies. Therefore, the ADC was not used as a possible predictor in our study.…”

Section: Discussionmentioning

confidence: 99%

Correlation between magnetic resonance imaging grading and pathological grading in meningioma

Lin

Chou

Kao³

et al. 2014

JNS

100

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Object This study investigated the specific preoperative MRI features of patients with intracranial meningiomas that correlate with pathological grade and provide appropriate preoperative planning. Methods From 2006 to 2012, 120 patients (36 men and 84 women, age range 20–89 years) with newly diagnosed symptomatic intracranial meningiomas undergoing resection were retrospectively analyzed in terms of radiological features of preoperative MRI. There were 90 WHO Grade I and 30 WHO Grade II or III meningiomas. The relationships between MRI features and WHO histopathological grade were analyzed and scored quantitatively. Results According to the results of multivariate logistic regression analysis, age ≥ 75 years, indistinct tumorbrain interface, positive capsular enhancement, and heterogeneous tumor enhancement were identified factors in the prediction of advanced histopathological grade. The prediction model was quantified as a scoring scale: 2 × (age) + 5 × (tumor-brain interface) + 3 × (capsular enhancement) + 2 × (tumor enhancement). The calculated score correlated positively with the probability of high-grade meningioma. Conclusions This scoring approach may be useful for clinicians in determining therapeutic strategy and in surgical planning for patients with intracranial meningiomas.

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“…DWI may, however, be useful to differentiate typical meningiomas from atypical and malignant meningiomas that account for approximately 9.6% of all meningiomas and are much more likely to recur [43]. Making the distinction with conventional MRI alone can be challenging because worrisome features such as heterogeneity, perilesional oedema, irregular surface and invasion of adjacent structures can also be seen in typical meningiomas [44]. However, several recent studies have found that atypical or malignant meningiomas can be reliably distinguished from typical meningiomas by their lower ADC values, a fact attributed in part to their increased cellularity [43,45,46].…”

Section: Neoplastic Typically Benign Meningiomamentioning

confidence: 98%

“Dazed and diffused”: making sense of diffusion abnormalities in neurologic pathologies

O’Connor

Barest²,

Moritani³

et al. 2013

BJR

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To review diffusion abnormalities seen in diffusion-weighted MRI in neurological pathologies. We examine the clinical significance of the abnormalities in a broad spectrum of neurological diseases and highlight our current understanding of their causes. Diffusion abnormalities seen on diffusion-weighted MRI can play an important role in the diagnosis and follow-up of a broad spectrum of neurological diseases. A thorough understanding of the appearance and significance of these abnormalities is critical in patient management.Although the best known use of diffusion-weighted imaging (DWI) in MRI of the brain is detection of acute vaso-occlusive infarct, diffusion abnormalities occur in a wide spectrum of neurological pathologies. These diffusion abnormalities provide information that can directly affect the management of a patient, whether identifying pathology that would otherwise go unrecognised, narrowing a broad differential diagnosis, identifying conditions that require emergent intervention, evaluating response to treatment or providing prognostic information about a patient's expected clinical course. In this review, we explain the significance of diffusion abnormalities in a variety of neurological diseases and highlight our current understanding of the causes of these diffusion abnormalities.

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Is diffusion-weighted imaging useful in grading and differentiating histopathological subtypes of meningiomas?

Cited by 96 publications

References 15 publications

ADC is not reliable in determinating subtypes of meningiomas

ADC is not reliable in determinating subtypes of meningiomas

Correlation between magnetic resonance imaging grading and pathological grading in meningioma

“Dazed and diffused”: making sense of diffusion abnormalities in neurologic pathologies

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