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Pienaar JA, Varghese J. Intracranial meningiomas at a tertiary hospital: Spectrum of MRI findings with histopathologic correlation. SA J Radiol 2024; 28:2812. [PMID: 38628266 PMCID: PMC11019068 DOI: 10.4102/sajr.v28i1.2812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 01/10/2024] [Indexed: 04/19/2024] Open
Abstract
Background Intracranial meningiomas consist of a heterogenous group of histological subtypes, some of which are rare. Data that may play an important role in neurosurgical decision-making regarding the incidence and MRI features of these histological subtypes in the South African population groups, are lacking. Objectives This study aimed to assess the spectrum of MRI findings and histological subtypes of meningiomas in the South African context, with the goal of improving the paucity of literature on the topic. Method A retrospective review of the MRI features of 41 cases of histologically confirmed intracranial meningiomas was performed at a tertiary hospital level. Imaging features were audited and correlated with histological subtypes during statistical analysis. Results Eleven different histological subtypes of meningioma were encountered. World Health Organization (WHO) Grade I meningothelial meningiomas were the most common histological subgroup. Overall, meningiomas were found to be predominantly isointense to grey matter on T1-weighted imaging, irrespective of the histological subtype, with greater signal variability on T2-weighted imaging. Morphologies of specific subtypes are in keeping with the literature. Conclusion Analysis of this series of intracranial meningiomas did not demonstrate statistically significant differences in MRI features between histological subtypes to allow for accurate preoperative prediction of meningioma subtype or WHO grade. This highlights the importance of definitive histopathological diagnosis rather than over-reliance on presumed benign imaging features. Contribution This original research article discusses the impact of histological subtype on the MRI appearance of intracranial meningiomas, with the aim to improve the paucity of literature on the subject in the context of the South African population.
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Affiliation(s)
- Jacobus A Pienaar
- Department of Diagnostic Radiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Diagnostic Radiology, Klerksdorp/Tshepong Hospital Complex, Klerksdorp, South Africa
| | - Jacob Varghese
- Department of Diagnostic Radiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Diagnostic Radiology, Klerksdorp/Tshepong Hospital Complex, Klerksdorp, South Africa
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Nadeem A, Khan A, Habib A, Tariq R, Ahsan A, Basaria AAA, Raufi N, Chughtai A. Intracranial intricacies: Comprehensive analysis of rare skull base meningiomas-A single-center case series. Clin Case Rep 2024; 12:e8376. [PMID: 38161648 PMCID: PMC10753638 DOI: 10.1002/ccr3.8376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/05/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024] Open
Abstract
This 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. Abstract This 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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Affiliation(s)
- Abdullah Nadeem
- Department of MedicineDow University of Health SciencesKarachiPakistan
| | - Afsheen Khan
- Department of MedicineDow University of Health SciencesKarachiPakistan
| | - Ashna Habib
- Dow University of Health SciencesKarachiPakistan
| | - Rabeea Tariq
- Department of MedicineDow University of Health SciencesKarachiPakistan
| | - Areeba Ahsan
- Department of MedicineDow University of Health SciencesKarachiPakistan
| | | | - Nahid Raufi
- Department of MedicineKabul Medical UniversityKabulAfghanistan
| | - Abir Chughtai
- Department of MedicineDow University of Health SciencesKarachiPakistan
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Navarro-Ballester A, Aleixandre-Barrachina M, Marco-Doménech SF. Update on meningioma: Clinical-radiological and radio-pathological correlation. RADIOLOGIA 2023; 65:458-472. [PMID: 37758336 DOI: 10.1016/j.rxeng.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 02/07/2023] [Indexed: 10/03/2023]
Abstract
Meningiomas are tumors that originate in the arachnoid villi and are the most common non-glial neoplasm in the central nervous system. The clinical manifestations associated with meningioma depend, fundamentally, on its location. The location in the cerebral convexity is the most frequent, especially in the frontal lobes, manifesting with headache, motor disturbances, seizures and even neurocognitive disorders. There are 15 histologic subtypes of meningioma and three histologic grades. Within these, grades two and three have a worse prognosis and a higher rate of recurrence, as well as a radiological behavior that is generally more aggressive. Although there are some imaging features that can suggest a specific subtype, the definitive diagnosis will always require histological/molecular confirmation.
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Affiliation(s)
- A Navarro-Ballester
- Servicio de Radiodiagnóstico, Hospital General Universitario de Castellón, Castellón de la Plana, Castellón, Spain.
| | - M Aleixandre-Barrachina
- Servicio de Anatomía Patológica, Hospital General Universitario de Castellón, Castellón de la Plana, Castellón, Spain
| | - S F Marco-Doménech
- Servicio de Radiodiagnóstico, Hospital General Universitario de Castellón, Castellón de la Plana, Castellón, Spain
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Unilateral Orbitopathy Caused by Skull Base Chordoid Meningioma. Diagnostics (Basel) 2023; 13:diagnostics13050815. [PMID: 36899959 PMCID: PMC10001141 DOI: 10.3390/diagnostics13050815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 02/17/2023] [Accepted: 02/19/2023] [Indexed: 02/23/2023] Open
Abstract
Chordoid meningioma (CM) makes up only 1% of all meningiomas. Most cases of this variant are locally aggressive, have high growth potential, and are likely to recur. Although CMs are known to be invasive, they rarely extend into the retro-orbital space. Herein, we report a case of a central skull base CM in a 78-year-old woman whose only manifestation was unilateral proptosis with impaired vision resulting from the tumor extending into the retro-orbital space through the superior orbital fissure. The diagnosis was confirmed by analysis of specimens collected during endoscopic orbital surgery, which simultaneously relieved the protruding eye and restored the patient's visual acuity by decompressing the oppressed orbit. This rare presentation of CM reminds physicians there may be lesions outside the orbit that can cause unilateral orbitopathy and that endoscopic orbital surgery can be used to confirm its diagnosis as well as treat it.
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T1 and ADC histogram parameters may be an in vivo biomarker for predicting the grade, subtype, and proliferative activity of meningioma. Eur Radiol 2022; 33:258-269. [PMID: 35953734 DOI: 10.1007/s00330-022-09026-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/05/2022] [Accepted: 07/09/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To investigate the value of histogram analysis of T1 mapping and diffusion-weighted imaging (DWI) in predicting the grade, subtype, and proliferative activity of meningioma. METHODS This prospective study comprised 69 meningioma patients who underwent preoperative MRI including T1 mapping and DWI. The histogram metrics, including mean, median, maximum, minimum, 10th percentiles (C10), 90th percentiles (C90), kurtosis, skewness, and variance, of T1 and apparent diffusion coefficient (ADC) values were extracted from the whole tumour and peritumoural oedema using FeAture Explorer. The Mann-Whitney U test was used for comparison between low- and high-grade tumours. Receiver operating characteristic (ROC) curve and logistic regression analyses were performed to identify the differential diagnostic performance. The Kruskal-Wallis test was used to further classify meningioma subtypes. Spearman's rank correlation coefficients were calculated to analyse the correlations between histogram parameters and Ki-67 expression. RESULTS High-grade meningiomas showed significantly higher mean, maximum, C90, and variance of T1 (p = 0.001-0.009), lower minimum, and C10 of ADC (p = 0.013-0.028), compared to low-grade meningiomas. For all histogram parameters, the highest individual distinctive power was T1 C90 with an AUC of 0.805. The best diagnostic accuracy was obtained by combining the T1 C90 and ADC C10 with an AUC of 0.864. The histogram parameters differentiated 4/6 pairs of subtype pairs. Significant correlations were identified between Ki-67 and histogram parameters of T1 (C90, mean) and ADC (C10, kurtosis, variance). CONCLUSION T1 and ADC histogram parameters may represent an in vivo biomarker for predicting the grade, subtype, and proliferative activity of meningioma. KEY POINTS • The histogram parameter based on T1 mapping and DWI is useful to preoperatively evaluate the grade, subtype, and proliferative activity of meningioma. • The combination of T1 C90 and ADC C10 showed the best performance for differentiating low- and high-grade meningiomas.
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Tsai YT, Hung KC, Shih YJ, Lim SW, Yang CC, Kuo YT, Chen JH, Ko CC. Preoperative Apparent Diffusion Coefficient Values for Differentiation between Low and High Grade Meningiomas: An Updated Systematic Review and Meta-Analysis. Diagnostics (Basel) 2022; 12:diagnostics12030630. [PMID: 35328183 PMCID: PMC8947055 DOI: 10.3390/diagnostics12030630] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 02/01/2023] Open
Abstract
The meta-analysis aimed to compare the preoperative apparent diffusion coefficient (ADC) values between low-grade meningiomas (LGMs) and high-grade meningiomas (HGMs). Medline, Cochrane, Scopus, and Embase databases were screened up to January 2022 for studies investigating the ADC values of meningiomas. The study endpoint was the reported ADC values for LGMs and HGMs. Further subgroup analyses between 1.5T and 3T MRI scanners, ADC threshold values, ADC in different histological LGMs, and correlation coefficients (r) between ADC and Ki-67 were also performed. The quality of studies was evaluated by the quality assessment of diagnostic accuracy studies (QUADAS-2). A χ2-based test of homogeneity was performed using Cochran’s Q statistic and inconsistency index (I2). Twenty-five studies with a total of 1552 meningiomas (1102 LGMs and 450 HGMs) were included. The mean ADC values (×10−3 mm2/s) were 0.92 and 0.79 for LGMs and HGMs, respectively. Compared with LGMs, significantly lower mean ADC values for HGMs were observed with a pooled difference of 0.13 (p < 0.00001). The results were consistent in both 1.5T and 3T MRI scanners. For ADC threshold values, pooled sensitivity of 69%, specificity of 82%, and AUC of 0.84 are obtained for differentiation between LGMs and HGMs. The mean ADC (×10−3 mm2/s) in different histological LGMs ranged from 0.87 to 1.22. Correlation coefficients (r) of mean ADC and Ki-67 ranged from −0.29 to −0.61. Preoperative ADC values are a useful tool for differentiating between LGMs and HGMs. Results of this study provide valuable information for planning treatments in meningiomas.
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Affiliation(s)
- Yueh-Ting Tsai
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-T.T.); (Y.-J.S.); (C.-C.Y.); (Y.-T.K.)
| | - Kuo-Chuan Hung
- Department of Anesthesiology, Chi Mei Medical Center, Tainan 710, Taiwan;
- Department of Hospital and Health Care Administration, College of Recreation and Health Management, Chia Nan University of Pharmacy and Science, Tainan 71710, Taiwan
| | - Yun-Ju Shih
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-T.T.); (Y.-J.S.); (C.-C.Y.); (Y.-T.K.)
| | - Sher-Wei Lim
- Department of Neurosurgery, Chi Mei Medical Center, Chiali, Tainan 722, Taiwan;
- Department of Nursing, Min-Hwei College of Health Care Management, Tainan 736, Taiwan
| | - Cheng-Chun Yang
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-T.T.); (Y.-J.S.); (C.-C.Y.); (Y.-T.K.)
| | - Yu-Ting Kuo
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-T.T.); (Y.-J.S.); (C.-C.Y.); (Y.-T.K.)
- Department of Medical Imaging, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan
| | - Jeon-Hor Chen
- Department of Radiological Sciences, University of California, Irvine, CA 92697, USA;
- Department of Radiology, E-DA Hospital, I-Shou University, Kaohsiung 824, Taiwan
| | - Ching-Chung Ko
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-T.T.); (Y.-J.S.); (C.-C.Y.); (Y.-T.K.)
- Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan 71710, Taiwan
- Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung 804, Taiwan
- Correspondence:
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Progestin-related WHO grade II meningiomas behavior-a single-institution comparative case series. Neurosurg Rev 2021; 45:1691-1699. [PMID: 34850321 DOI: 10.1007/s10143-021-01708-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 11/09/2021] [Accepted: 11/25/2021] [Indexed: 10/19/2022]
Abstract
WHO grade II progestin-related meningiomas have been reported in recent series but we found no previous study describing their long-term outcome. Our study aimed to evaluate patients operated on for high-grade intracranial meningioma and who underwent long-term exposure to high dose of cyproterone acetate, nomegestrol acetate, and chlormadinone acetate. Our study retrospectively included 9 patients with high-grade progestin-related intracranial meningioma between December 2006 and September 2021. In each patient, clinico-radiological follow-up was performed every 6 months after diagnosis and treatment withdrawal recommendation. The mean progestative exposure was 11.4 years. Edema existence or absence of cleft sign on MRI were the key factors for surgical indication. All patients underwent surgery. Adjuvant radiotherapy was indicated in 1 patient, and Gamma Knife radiosurgery was proposed in 2 other patients for a second location of meningioma. Six patients harbored a grade II chordoid meningioma subtype with 100% PR expression and 3 patients a grade II atypical meningioma subtype with lower PR expression. The mean follow-up was 8.1 years and none of the 9 patients presented with a recurrence. Patients with grade II progestin-related meningiomas have less tumor recurrence after surgery than patients with sporadic grade II meningiomas, especially after progestin withdrawal. The presence/appearance of peri-meningioma edema and the absence of cleft sign before volumetric change should suggest the existence of an underlying WHO grade II meningiomas. In these cases, surgical resection may immediately be considered and adjuvant radiotherapy should be reserved for proven recurrence cases.
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Utility of multiparametric pre-operative magnetic resonance imaging in differentiation of chordoid meningioma from the other histopathological subtypes of meningioma-a retrospective study. Neuroradiology 2021; 64:253-264. [PMID: 33837805 DOI: 10.1007/s00234-021-02690-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 03/10/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE To determine the magnetic resonance imaging (MRI) features which could pre-operatively differentiate chordoid meningioma (CM) from other histopathological subtypes of meningioma. METHODS Retrospective analysis of pre-operative MRI of cases with histopathologically confirmed diagnosis of meningioma during the last 5 years at our institute was done. T1W, T2W, FLAIR sequences, and post-contrast enhancement were evaluated on a qualitative scale. Normalized ADC ratios (nADCR) and normalized fractional anisotropy ratios (nFAR) were derived. The intratumoral susceptibility score (ITSS), presence of sunburst pattern of vasculature, bone changes, tumour-parenchyma interface, and oedema-to-tumour ratio were also determined. RESULTS A total of 81 lesions were analyzed out of which 15 were CM. CM showed a higher relative contrast enhancement as compared to all other subtypes except for angiomatous and microcystic meningioma. Relative signal intensity on FLAIR could differentiate CM from transitional meningioma. nFAR was found to be significantly higher in fibroblastic meningioma and significantly lower in microcystic meningiomas as compared to CM. Anaplastic meningiomas were remarkable for bone changes and an ill-defined tumour-brain interface in significantly higher proportion of cases as compared to CM. nADCR > 1.5 was found to be an independent predictor of CM with a sensitivity of 84.6%, specificity of 89.8%, positive predictive value of 64.7%, and negative predictive value of 96.4%. CONCLUSION Routine pre-operative MRI may be able to differentiate CM from other meningioma subtypes and a cut-off value of greater than 1.5 for nADCR could be predictive of > 50% chordoid histology of meningioma with a high sensitivity, specificity, and negative predictive value.
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Chen X, Lin L, Wu J, Yang G, Zhong T, Du X, Chen Z, Xu G, Song Y, Xue Y, Duan Q. Histogram analysis in predicting the grade and histological subtype of meningiomas based on diffusion kurtosis imaging. Acta Radiol 2020; 61:1228-1239. [PMID: 31986895 DOI: 10.1177/0284185119898656] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Presurgical grading is particularly important for selecting the best therapeutic strategy for meningioma patients. PURPOSE To investigate the value of histogram analysis of diffusion kurtosis imaging (DKI) maps in the differentiation of grades and histological subtypes of meningiomas. MATERIAL AND METHODS A total of 172 patients with histopathologically proven meningiomas underwent preoperative magnetic resonance imaging (MRI) and were classified into low-grade and high-grade groups. Mean kurtosis (MK), fractional anisotropy (FA), and mean diffusivity (MD) histograms were generated based on solid components of the whole tumor. The following parameters of each histogram were obtained: 10th, 25th, 75th, and 90th percentiles, mean, median, maximum, minimum, and kurtosis, skewness, and variance. Comparisons of different grades and subtypes were made by Mann-Whitney U test, Kruskal-Wallis test, ROC curves analysis, and multiple logistic regression. Pearson correlation was used to evaluate correlations between histogram parameters and the Ki-67 labeling index. RESULTS Significantly higher maximum, skewness, and variance of MD, mean, median, maximum, variance, 10th, 25th, 75th, and 90th percentiles of MK were found in high-grade than low-grade meningiomas (all P < 0.05). DKI histogram parameters differentiated 7/10 pairs of subtype pairs. The 90th percentile of MK yielded the highest AUC of 0.870 and was the only independent indicator for grading meningiomas. Various DKI histogram parameters were correlated with the Ki-67 labeling index (P < 0.05). CONCLUSION The histogram analysis of DKI is useful for differentiating meningioma grades and subtypes. The 90th percentile of MK may serve as an optimal parameter for predicting the grade of meningiomas.
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Affiliation(s)
- Xiaodan Chen
- Department of Radiology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, PR China
| | - Lin Lin
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, PR China
| | - Jie Wu
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, PR China
| | - Guang Yang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, PR China
| | - Tianjin Zhong
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, PR China
| | - Xiaoqiang Du
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, PR China
| | - Zhiyong Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, PR China
| | - Ganggang Xu
- Department of Management Science, University of Miami, Coral Gables, FL, USA
| | - Yang Song
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, PR China
| | - Yunjing Xue
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, PR China
| | - Qing Duan
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, PR China
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Histological Grade of Meningioma: Prediction by Intravoxel Incoherent Motion Histogram Parameters. Acad Radiol 2020; 27:342-353. [PMID: 31151902 DOI: 10.1016/j.acra.2019.04.012] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 04/08/2019] [Accepted: 04/16/2019] [Indexed: 11/23/2022]
Abstract
RATIONALE AND OBJECTIVES To evaluate the usefulness of intravoxel incoherent motion (IVIM) histogram analysis for differentiating low-grade meningiomas (LGMs) and high-grade meningiomas (HGMs). MATERIALS AND METHODS Fifty-nine patients with pathologically confirmed meningiomas (45 LGMs and 14 HGMs) underwent IVIM MR imaging. Maps of IVIM parameters (perfusion fraction, f; true diffusion coefficient, D; and pseudo diffusion coefficient, D*), as well as of the apparent diffusion coefficient (ADC), were generated. Histogram analysis was performed using parametric values from all voxels in regions-of-interest manually drawn to encompass the whole tumor. The histogram results of ADC and IVIM parameters were compared using the Mann-Whitney U test. Area under the receiver operating characteristic curve (AUC) values were generated to evaluate how well each parameter could differentiate LGMs from HGMs. Spearman's rank correlation coefficients were used to evaluate correlations between histogram parameters and Ki-67 expression. RESULTS Compared to LGM, HGM showed significantly higher standard deviation (SD), variance, and coefficient of variation (CV) of ADC (p< 0.006-0.028; AUC, 0.693-0.748), D (p< 0.004-0.032; AUC, 0.670-0.752), and significantly higher CV of f (p< 0.005-0.024; AUC = 0.737). Means and percentiles of ADC and IVIM parameters did not differ significantly between LGM and HGM. Significant positive correlations were identified between Ki-67 and histogram parameters of ADC (SD, variance, kurtosis, skewness, and CV) and D (SD, variance, kurtosis, and CV), whereas no significant correlation with Ki-67 was shown for mean or percentiles of ADC and IVIM parameters. CONCLUSION Heterogeneity histogram parameters of ADC, D, and f may be useful for differentiating LGMs from HGMs.
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Imaging spectrum of meningiomas: a review of uncommon imaging appearances and their histopathological and prognostic significance. Pol J Radiol 2020; 84:e630-e653. [PMID: 32082462 PMCID: PMC7016363 DOI: 10.5114/pjr.2019.92421] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 11/20/2019] [Indexed: 11/17/2022] Open
Abstract
Meningiomas are the most common primary non-glial intracranial neoplasms. In most cases, meningiomas have typical imaging appearances and locations, enabling a straightforward radiological diagnosis. However, a myriad of unusual appearances potentially complicate the imaging picture. Furthermore, certain imaging features can also predict the specific histopathological nature and WHO grade of the meningioma. 'Typical' meningiomas include meningothelial, fibrous, and transitional variants and have the characteristic imaging features described for meningiomas. Several 'atypical' variants exist, which, although less common, also generally have a less favourable prognosis and necessitate early diagnosis. In addition, meningiomas can occur in a variety of unusual intracranial and even extra-cranial locations and need to be distinguished from the more common tumours of these regions on imaging. Any associated oedema or haemorrhagic changes may alter the prognosis and have to be carefully assessed and reported. Cystic changes in meningiomas have been divided into five subtypes, and accurate characterisation is essential to predict the prognosis. An extensive review of the several possible variations in imaging appearances of meningiomas including the differential features of common and uncommon variants would facilitate informative radiological reporting of meningiomas. This would be expected to improve pre-operative planning prior to surgical biopsy and thereby improve disease prognosis and patient outcomes.
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Spille DC, Sporns PB, Heß K, Stummer W, Brokinkel B. Prediction of High-Grade Histology and Recurrence in Meningiomas Using Routine Preoperative Magnetic Resonance Imaging: A Systematic Review. World Neurosurg 2019; 128:174-181. [PMID: 31082555 DOI: 10.1016/j.wneu.2019.05.017] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 04/30/2019] [Accepted: 05/02/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Estimating the risk of recurrence after surgery remains crucial during care of patients with meningioma. Numerous studies identified correlations of characteristics on routine preoperative magnetic resonance imaging (MRI) with postoperative recurrence or high-grade histology but showed partially inconclusive results. METHODS A systematic review of the literature was performed about findings on preoperative MRI and their correlation with high-grade histology and recurrence. Quality of the included studies was analyzed using standardized Quality Assessment of Diagnostic Accuracy Studies criteria. RESULTS Among the 35 studies included, quality of the series according to the Quality Assessment of Diagnostic Accuracy Studies criteria differed widely. Remarkably, MRI variables found to be associated with high-grade histology were commonly not consistently associated with prognosis and vice versa. Correlations of the tumor size, the peritumoral edema size, and contrast-enhancement of the tumor capsule with high-grade histology were controversial. In most studies, non-skull base tumor location, cyst formation, heterogenous contrast-enhancement, an irregular tumor shape, and disruption of the tumor/brain border but not intensity of the lesion on T2-weighted images, calcifications, or bone involvement were associated with grade II/III histology. Although tumor and edema size were usually found to correlate with recurrence, heterogenous contrast enhancement, cyst formation, intensity of the tumor on T2-weighted MRI, and enhancement of the tumor capsule were mostly not related with progression. CONCLUSIONS Several mostly consistent but partially inconsistent variables associated with high-grade histology or prognosis were identified. Although standardized studies are needed to provide further clarification, consideration of these findings can help to improve estimation of prognosis and can therefore improve postoperative care in patients with meningioma.
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Affiliation(s)
| | - Peter B Sporns
- Institute of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Katharina Heß
- Institute of Neuropathology, University Hospital Münster, Münster, Germany
| | - Walter Stummer
- Department of Neurosurgery, University Hospital Münster, Münster, Germany
| | - Benjamin Brokinkel
- Department of Neurosurgery, University Hospital Münster, Münster, Germany
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Baal JD, Chen WC, Solomon DA, Pai JS, Lucas CH, Hara JH, Oberheim Bush NA, McDermott MW, Raleigh DR, Villanueva-Meyer JE. Preoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic Subtypes. AJNR Am J Neuroradiol 2019; 40:433-439. [PMID: 30819773 DOI: 10.3174/ajnr.a5996] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Accepted: 01/14/2019] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND PURPOSE Chordoid meningiomas are uncommon WHO grade II primary intracranial neoplasms that possess unique chordoid histology and follow an aggressive clinical course. Our aim was to assess the utility of qualitative MR imaging features and quantitative apparent diffusion coefficient values as distinguishing preoperative MR imaging metrics to identify and differentiate chordoid histology from other meningioma histologic subtypes. MATERIALS AND METHODS Twenty-one patients with meningiomas with chordoid histology, which included both chordoid meningiomas (>50% chordoid histology) and meningiomas with focal chordoid histology (<50% chordoid histology) with available preoperative MR imaging examinations, including diffusion-weighted imaging, were identified. Qualitative imaging features and quantitative ADC values were compared between meningiomas with chordoid histology and 42 nonchordoid meningiomas (29 WHO grade I, eleven WHO grade II, and 2 WHO grade III). RESULTS The median ADC (10-3mm2/s) of meningiomas with chordoid histology was significantly higher than nonchordoid meningiomas (1.16 versus 0.92, P < .001), as was the median normalized ADC (1.60 versus 1.19, P < .001). In subgroup analysis, the median and normalized ADC values of chordoid meningiomas (n = 11) were significantly higher than those in meningiomas with focal chordoid histology (n = 10, P < .001 and P < .001, respectively) or nonchordoid meningiomas (n = 42, P < .001 and <0.001, respectively). Median and normalized ADC values were not significantly different between the meningiomas with focal chordoid histology and nonchordoid meningiomas (P = .816 and .301, respectively). Among the qualitative imaging features, only DWI signal intensity was significantly associated with meningiomas with chordoid histology diagnosis. CONCLUSIONS ADC values are higher in chordoid compared with nonchordoid meningiomas and may be used to discriminate the degree of chordoid histology in meningiomas. While qualitative MR imaging features do not strongly discriminate chordoid from nonchordoid meningiomas, DWI may allow preoperative identification of chordoid meningiomas.
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Affiliation(s)
- J D Baal
- From the Departments of Radiology and Biomedical Imaging (J.D.B., J.E.V.-M.)
| | - W C Chen
- Radiation Oncology (W.C.C., J.S.P., J.H.H., D.R.R.)
| | | | - J S Pai
- Radiation Oncology (W.C.C., J.S.P., J.H.H., D.R.R.)
| | | | - J H Hara
- Radiation Oncology (W.C.C., J.S.P., J.H.H., D.R.R.)
| | - N A Oberheim Bush
- Neurological Surgery (N.A.O.B., M.W.M.), University of California San Francisco, San Francisco, California
| | - M W McDermott
- Neurological Surgery (N.A.O.B., M.W.M.), University of California San Francisco, San Francisco, California
| | - D R Raleigh
- Radiation Oncology (W.C.C., J.S.P., J.H.H., D.R.R.)
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14
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Zakhari N, Torres C, Castillo M, Nguyen TB. Uncommon Cranial Meningioma: Key Imaging Features on Conventional and Advanced Imaging. Clin Neuroradiol 2017; 27:135-144. [PMID: 28466126 DOI: 10.1007/s00062-017-0583-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 04/04/2017] [Indexed: 11/29/2022]
Abstract
Given the high incidence of intracranial meningiomas encountered in clinical practice, it is not uncommon to find rare subtypes of meningioma, with unusual imaging findings. These commonly represent a diagnostic challenge. In this article, we review the imaging appearance of typical meningioma on conventional and advanced imaging as well as the key imaging features of multiple uncommon subtypes: cystic, microcystic, lipomatous, chordoid, angiomatous, intraosseous, extracranial, atypical/malignant, and tumor-to-tumor metastasis (also known as collision tumors). Some of these uncommon subtypes, however, demonstrate imaging features that may allow for a more specific diagnosis, or features, which can influence patient's management.
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Affiliation(s)
- Nader Zakhari
- Department of Radiology, Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, 1053 Carling Avenue, K1Y 4E9, Ottawa, Ontario, Canada
| | - Carlos Torres
- Department of Radiology, Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, 1053 Carling Avenue, K1Y 4E9, Ottawa, Ontario, Canada.
| | - Mauricio Castillo
- Division of Neuroradiology, Department of Radiology, University of North Carolina School of Medicine, Room 3326 Old Infirmary Building, Manning Drive, 27599-7510, Chapel Hill, NC, USA
| | - Thanh B Nguyen
- Department of Radiology, Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, 1053 Carling Avenue, K1Y 4E9, Ottawa, Ontario, Canada
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15
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Kunimatsu A, Kunimatsu N, Kamiya K, Katsura M, Mori H, Ohtomo K. Variants of meningiomas: a review of imaging findings and clinical features. Jpn J Radiol 2016; 34:459-69. [PMID: 27138052 DOI: 10.1007/s11604-016-0550-6] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 04/14/2016] [Indexed: 01/28/2023]
Abstract
Meningiomas are common neoplasms that frequently occur in the brain and spine. Among the 15 histological subtypes of meningiomas in the WHO classification, the incidence of meningothelial meningiomas is the highest, followed by fibrous and transitional meningiomas. These three subtypes account for approximately 80 % of all meningiomas, and thus could be regarded as typical meningiomas. For this reason, other uncommon histological subtypes may be considered as imaging variants, and diagnosis is often challenging for radiologists solely based on imaging features of typical meningiomas. In addition to the histological subtypes, meningiomas arising in atypical locations could be easily mistaken for other lesions more commonly observed in those locations. The purpose of this article is to review characteristic clinical and imaging findings of uncommon meningiomas, including histological variants and meningiomas occurring in relatively rare locations.
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Affiliation(s)
- Akira Kunimatsu
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Natsuko Kunimatsu
- Department of Radiology, International University of Health and Welfare, Mita Hospital, Tokyo, Japan
| | - Kouhei Kamiya
- Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan
| | - Masaki Katsura
- Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan
| | - Harushi Mori
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kuni Ohtomo
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.,International University of Health and Welfare, Otawara, Japan
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16
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Yang Y, Li D, Cao XY, Hao SY, Wang L, Wu Z, Zhang JT. Clinical Features, Treatment, and Prognostic Factors of Chordoid Meningioma: Radiological and Pathological Features in 60 Cases of Chordoid Meningioma. World Neurosurg 2016; 93:198-207. [PMID: 27060511 DOI: 10.1016/j.wneu.2016.03.097] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2016] [Revised: 03/28/2016] [Accepted: 03/29/2016] [Indexed: 01/28/2023]
Abstract
OBJECTIVE As one subtype of meningiomas, chordoid meningiomas (CMs) are rarely described. In this study, the authors aimed to analyze the incidence, clinical features, treatment, and prognostic factors of CMs. METHODS Among 9873 cases of meningioma surgically treated between 2003 and 2013 at Beijing Tiantan Hospital, cases of CM were chosen for analysis and were reviewed retrospectively. To ascertain which factors were related with progression-free survival (PFS), statistical analysis was performed. RESULTS Sixty cases of pathologically confirmed and surgically treated CMs were identified. They accounted for 0.61 % of the entire series of meningioma. Simpson Grade I, II, III, and IV resection was performed in 26, 19, 9, and 6 patients, respectively. Fifty-four patients were followed up for 25-141 months after operation. Of these patients, 19 received postoperative adjuvant radiotherapy. Seventeen patients experienced tumor progression, and median PFS was 54 months. The 3- and 5-year PFS rates were 89.7% and 57.1%, respectively. Two patients died of tumor recurrence and 1 died of unrelated reason. Univariate analysis demonstrated tumor shape and extent of resection were significantly associated with prognosis. Multivariate analysis revealed only extent of resection was an independent prognosis factor for PFS. CONCLUSIONS CM is a rare subtype of World Health Organization grade II meningioma. It more frequently involved the adult patients and was without sex predilection. The confirmed diagnosis relied on pathological validation. Total resection whenever possible is recommended to prolong PFS of patients. The value of adjuvant radiotherapy for CM need to be further studied.
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Affiliation(s)
- Yang Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing; China National Clinical Research Center for Neurological Diseases, Beijing; Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing; Beijing Key Laboratory of Brian Tumor, Beijing, People's Republic of China
| | - Da Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing; China National Clinical Research Center for Neurological Diseases, Beijing; Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing; Beijing Key Laboratory of Brian Tumor, Beijing, People's Republic of China
| | - Xiao-Yu Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing; China National Clinical Research Center for Neurological Diseases, Beijing; Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing; Beijing Key Laboratory of Brian Tumor, Beijing, People's Republic of China
| | - Shu-Yu Hao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing; China National Clinical Research Center for Neurological Diseases, Beijing; Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing; Beijing Key Laboratory of Brian Tumor, Beijing, People's Republic of China
| | - Liang Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing; China National Clinical Research Center for Neurological Diseases, Beijing; Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing; Beijing Key Laboratory of Brian Tumor, Beijing, People's Republic of China
| | - Zhen Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing; China National Clinical Research Center for Neurological Diseases, Beijing; Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing; Beijing Key Laboratory of Brian Tumor, Beijing, People's Republic of China
| | - Jun-Ting Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing; China National Clinical Research Center for Neurological Diseases, Beijing; Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing; Beijing Key Laboratory of Brian Tumor, Beijing, People's Republic of China.
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