MRI predictive score of pial vascularization of supratentorial intracranial meningioma

被引:14
作者
Friconnet, Guillaume [1 ]
Ala, Victor Hugo Espindola [1 ]
Janot, Kevin [2 ]
Brinjikji, Waleed [3 ]
Bogey, Clement [1 ]
Lemnos, Leslie [4 ]
Salle, Henri [4 ]
Saleme, Suzana [1 ]
Mounayer, Charbel [1 ,5 ]
Rouchaud, Aymeric [1 ,5 ]
机构
[1] Ctr Hosp & Univ Dupuytren, Dept Radiol, 2 Ave Martin Luther King, F-87042 Limoges, France
[2] Fdn Adolphe de Rothschild, Dept Radiol, Paris, France
[3] Mayo Clin, Dept Radiol, Rochester, MN USA
[4] Ctr Hosp & Univ Dupuytren, Dept Neurosurg, Limoges, France
[5] CNRS, XLIM, UMR 7252, F-87000 Limoges, France
关键词
Magnetic resonance imaging; Meningioma; Retrospective studies; Supratentorial neoplasms; RISK-FACTORS; BRAIN EDEMA;
D O I
10.1007/s00330-019-06197-6
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectiveMeningiomas are highly vascularized tumors which may recruit pial blood supply. Pial supply complicates tumor treatment in numerous ways. The objective of this study was to establish a reliable MRI-based diagnostic score to predict the existence of pial blood supply in supratentorial intracranial meningiomas and then correlate the score with clinical and surgical outcomes and histopathological findings.MethodsWe performed a retrospective analysis of supratentorial histologically proven meningiomas in our institution from 2010 to 2018. A score was built based on MRI criteria and correlated with digital subtraction angiography (DSA) pial vascularization assessment. The score was then validated on a second independent population recruited with the same modalities.ResultsLogistic regression identified four parameters related to pial blood supply which were used to build the score: skull base location, tumor size >45mm, peritumoral flow voids, and incomplete cerebrospinal fluid rim. The overall diagnostic performance in predicting pial blood supply was as follows: sensitivity 97.8%, specificity 76.9%, predictive positive value 88.2%, negative predictive value 95.2%, and accuracy 90.3%. Inter-reader agreement and Cohen's kappa were good, respectively, of 90.7% and 0.69. A high score was associated with aggressive meningioma (World Health Organization II-III) (p=0.04) and with greater importance of pial supply relative to dural supply.ConclusionsWe have identified a reliable way to use MRI to predict the existence of pial blood supply in supratentorial intracranial meningiomas. A higher score also predicted higher grade meningioma.Key Points center dot Accurate and reproducible MRI score composed of four items to predict the existence of pial blood supply in supratentorial meningioma.center dot High score is associated with high-grade meningioma (WHO II-III) but also with greater importance of pial supply relative to dural supply.
引用
收藏
页码:3516 / 3522
页数:7
相关论文
共 16 条
  • [1] Preoperative embolization of intracranial meningiomas using n-butyl cyanoacrylate
    Aihara, Masanori
    Naito, Isao
    Shimizu, Tatsuya
    Fujimaki, Hiroya
    Asakura, Ken
    Miyamoto, Naoko
    Yoshimoto, Yuhei
    [J]. NEURORADIOLOGY, 2015, 57 (07) : 713 - 719
  • [2] Preoperative neuroimaging findings as a predictor of the surgical plane of cleavage: prospective study of 100 consecutive cases of intracranial meningioma
    Alvernia, JE
    Sindou, MP
    [J]. JOURNAL OF NEUROSURGERY, 2004, 100 (03) : 422 - 430
  • [3] The importance of pial blood supply to the development of peritumoral brain edema in meningiomas
    Bitzer, M
    Wockel, L
    Luft, AR
    Wakhloo, AK
    Petersen, D
    Opitz, H
    Sievert, T
    Ernemann, U
    Voigt, K
    [J]. JOURNAL OF NEUROSURGERY, 1997, 87 (03) : 368 - 373
  • [4] Contemporary Endovascular Embolotherapy for Meningioma
    Dubel, Gregory J.
    Ahn, Sun Ho
    Soares, Gregory M.
    [J]. SEMINARS IN INTERVENTIONAL RADIOLOGY, 2013, 30 (03) : 263 - 277
  • [5] Understanding logistic regression
    El Sanharawi, M.
    Naudet, F.
    [J]. JOURNAL FRANCAIS D OPHTALMOLOGIE, 2013, 36 (08): : 710 - 715
  • [6] The Rim Pattern of Meningioma on 3D FLAIR Imaging: Correlation with Tumor-brain Adhesion and Histological Grading
    Enkizono, Mikako
    Morikawa, Minoru
    Matsuo, Takayuki
    Hayashi, Tomayoshi
    Horie, Nobutaka
    Honda, Sumihisa
    Ideguchi, Reiko
    Nagata, Izumi
    Uetani, Masataka
    [J]. MAGNETIC RESONANCE IN MEDICAL SCIENCES, 2014, 13 (04) : 251 - 260
  • [7] Predicting the probability of meningioma recurrence in the preoperative and early postoperative period:: A multivariate analysis in the midterm follow-up
    Ildan, Faruk
    Erman, Tahsin
    Gocer, A. Iskender
    Tuna, Metin
    Bagdatoglu, Huseyin
    Cetinalp, Erdal
    Burgut, Refik
    [J]. SKULL BASE-AN INTERDISCIPLINARY APPROACH, 2007, 17 (03): : 157 - 171
  • [8] The Meningioma Vascularity Index: a volumetric analysis of flow voids to predict intraoperative blood loss in nonembolized meningiomas
    Lagman, Carlito
    Ong, Vera
    Nguyen, Thien
    Alkhalid, Yasmine
    Sheppard, John P.
    Romiyo, Prasanth
    Azzam, Daniel
    Prashant, Giyarpuram N.
    Jahan, Reza
    Yang, Isaac
    [J]. JOURNAL OF NEUROSURGERY, 2019, 130 (05) : 1547 - 1552
  • [9] Microscopic anatomy of the brain-meningioma interface
    Nakasu S.
    Fukami T.
    Jito J.
    Matsuda M.
    [J]. Brain Tumor Pathology, 2005, 22 (2) : 53 - 57
  • [10] Benign versus atypical meningiomas: Risk factors predicting recurrence
    Nowak, Arkadiusz
    Dziedzic, Tomasz
    Krych, Piotr
    Czernicki, Tomasz
    Kunert, Przemyslaw
    Marchel, Andrzej
    [J]. NEUROLOGIA I NEUROCHIRURGIA POLSKA, 2015, 49 (01) : 1 - 10