Variants of meningiomas: a review of imaging findings and clinical features

Kunimatsu, Akira; Kunimatsu, Natsuko; Kamiya, Kazutaka; Katsura, Masaki; Mori, Hiromu; Ohtomo, Kuni

doi:10.1007/s11604-016-0550-6

Cited by 67 publications

(62 citation statements)

References 26 publications

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“…5; (2) meningiomas are predominantly located in association with the dura and/or the skull base with presence of bordering hyperintense structures (e.g. dura, vessels) making delineation challenging; (3) FLAIR signal intensities differ strongly and meningiomas can even present isointense to normal brain tissue; (4) meningiomas and surrounding tissue also present heterogenous when oedema and necrosis are present next to contrast-enhancing tumour [5,7,20,43,44]. Therefore, the provided tumour detection and segmentation algorithm appears to be feasible for different cerebral tumour entities and even other brain lesions.…”

Section: Discussionmentioning

confidence: 99%

“…Almost one-third of primary intracranial lesions are meningiomas [2]. According to the World Health Organization (WHO), the lesions are graded as benign (grade I), atypical (grade II) or anaplastic (grade III) [1,6,7]. The histological grading allows for the prediction of biological behaviour and prognosis of meningiomas.…”

Section: Introductionmentioning

confidence: 99%

“…MRI is the key method for diagnosis and characterisation of meningiomas, resection planning, therapy decisions and monitoring of therapy [5,7,10]. Typical meningiomas occur sessile or lentiform in shape and are sharply circumscribed showing wide dural attachments.…”

Section: Introductionmentioning

confidence: 99%

“…They have a strong laminar contrast enhancement and are usually isointense to hyperintense in T2-weighted and fluid-attenuated inversion recovery (FLAIR) images. Apparent diffusion coefficient (ADC) values may differ significantly among meningiomas and are often isointense to normal brain tissue [7]. Peritumoural oedema of the brain parenchyma may be present, especially when meningiomas show greater tumour volumes [7].…”

Section: Introductionmentioning

confidence: 99%

“…Apparent diffusion coefficient (ADC) values may differ significantly among meningiomas and are often isointense to normal brain tissue [7]. Peritumoural oedema of the brain parenchyma may be present, especially when meningiomas show greater tumour volumes [7]. Atypical and anaplastic meningiomas present with larger tumour volumes compared to benign meningiomas [1,11].…”

Section: Introductionmentioning

confidence: 99%

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Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI

et al. 2018

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Objectives Magnetic resonance imaging (MRI) is the method of choice for imaging meningiomas. Volumetric assessment of meningiomas is highly relevant for therapy planning and monitoring. We used a multiparametric deep-learning model (DLM) on routine MRI data including images from diverse referring institutions to investigate DLM performance in automated detection and segmentation of meningiomas in comparison to manual segmentations. Methods We included 56 of 136 consecutive preoperative MRI datasets [T1/T2-weighted, T1-weighted contrast-enhanced (T1CE), FLAIR] of meningiomas that were treated surgically at the University Hospital Cologne and graded histologically as tumour grade I (n = 38) or grade II (n = 18). The DLM was trained on an independent dataset of 249 glioma cases and segmented different tumour classes as defined in the brain tumour image segmentation benchmark (BRATS benchmark). The DLM was based on the DeepMedic architecture. Results were compared to manual segmentations by two radiologists in a consensus reading in FLAIR and T1CE. T1-weighted contrast-enhanced MRI

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI

et al. 2018

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Intracranial intricacies: Comprehensive analysis of rare skull base meningiomas—A single‐center case series

Nadeem,

Khan,

Habib

et al. 2023

Clinical Case Reports

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Key Clinical MessageThis study paper's main goal is to report rare cases of skull base meningiomas that exemplify the complexities of diagnosis, therapy, and postoperative care. By describing these rare cases, we hope to advance knowledge of the clinical signs, difficulties, and prognoses of skull base meningiomas in a challenging anatomical setting. In the posterior cranial fossa, our investigation reveals a unique example of skull base meningioma that involved numerous cranial nerves and complex vasculature. A variety of visual abnormalities were present in the patient's clinical presentations, highlighting the wide range of symptoms that these tumors might cause depending on their precise positions. These cases highlight the critical importance of preoperative imaging, including high‐resolution MRI and angiography, as well as the diagnostic difficulties these tumors pertain. By reporting these instances, our research adds to the body of knowledge about skull base meningiomas and offers insightful information about the nuances of their therapies. Our findings highlight the importance of individualized treatment plans, interdisciplinary cooperation, and the demand for continued study to better comprehend these convoluted tumors. Such studies are essential for advancing our knowledge of these enigmatic tumors, guiding clinical judgment, and eventually improving patient outcomes. These findings are important because they can fill information gaps, improve treatment plans, and encourage additional research in neuro‐oncology.AbstractThis study presents a series of three rare cases of skull base meningiomas, emphasizing the complexities in diagnosis, treatment, and postoperative care. The patients' clinical presentations and imaging highlighted the diverse symptoms and challenges associated with these tumors, found in intricate anatomical locations. The cases underscore the crucial role of preoperative high‐resolution imaging and angiography in diagnostic accuracy. Surgical intervention, guided by a multidisciplinary approach, is pivotal in managing these demanding cases. Histopathological examinations confirmed atypical meningiomas. The postoperative phases involved meticulous care to ensure optimal recovery and functional outcomes. Our findings contribute to the understanding of skull base meningiomas, emphasizing the need for personalized treatment plans and ongoing research to improve patient outcomes in neuro‐oncology.

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