Signal Intensities in Preoperative MRI Do Not Reflect Proliferative Activity in Meningioma.

作者: Stefan Schob , Clara Frydrychowicz , Matthias Gawlitza , Lionel Bure , Matthias Preuß

DOI: 10.1016/J.TRANON.2016.05.003

关键词: Magnetic resonance imagingSignalMeningiomaPrecontrastNuclear medicineWhite matterFluid-attenuated inversion recoveryTumor biologyWorld healthMedicine

摘要: BACKGROUND: Identification of high-grade meningiomas in preoperative magnetic resonance imaging (MRI) is important for optimized surgical strategy and best possible resection. Numerous studies investigated subjectively determined morphological features as predictors tumor biology meningiomas. The aim this study was to identify the predictive value more reliable, quantitatively measured signal intensities MRI differentiation high- low-grade identification with high proliferation rates, respectively. PATIENTS AND METHODS: Sixty-six patients (56 World Health Organization [WHO] grade I, 9 WHO II, 1 I) were included study. Preoperative (fluid-attenuated inversion recovery [FLAIR], T1 precontrast, postcontrast genuine normalized values) correlated Ki-67 expression tissue sections resected Differences between groups (analysis variance) Spearman rho correlation computed using SPSS 22. RESULTS: Mean values FLAIR, native, 323.9 ± 59, 332.8 67.9, 768.5 165.3. (to contralateral white matter) 1.5 0.3, 0.8 0.1, 1.9 0.4. There no significant or expression. Signal did not differ significantly I II/III increased compared (P < 0.01). Objectively (FLAIR, enhancement) distinguish Furthermore, there association representing proliferative activity.

参考文章(14)
Bon-Jour Lin, Kuan-Nein Chou, Hung-Wen Kao, Chin Lin, Wen-Chiuan Tsai, Shao-Wei Feng, Meei-Shyuan Lee, Dueng-Yuan Hueng, Correlation between magnetic resonance imaging grading and pathological grading in meningioma Journal of Neurosurgery. ,vol. 121, pp. 1201- 1208 ,(2014) , 10.3171/2014.7.JNS132359
Francesco Maiuri, Giorgio İaconetta, Oreste de Divitiis, Sossio Cirillo, Francesco Di Salle, Maria Laura De Caro, Intracranial meningiomas: correlations between MR imaging and histology. European Journal of Radiology. ,vol. 31, pp. 69- 75 ,(1999) , 10.1016/S0720-048X(98)00083-7
Tetsuo Hashiba, Naoya Hashimoto, Motohiko Maruno, Shuichi Izumoto, Tsuyoshi Suzuki, Naoki Kagawa, Toshiki Yoshimine, Scoring radiologic characteristics to predict proliferative potential in meningiomas. Brain Tumor Pathology. ,vol. 23, pp. 49- 54 ,(2006) , 10.1007/S10014-006-0199-4
Yosuke Kawahara, Mitsutoshi Nakada, Yutaka Hayashi, Yutaka Kai, Yasuhiko Hayashi, Naoyuki Uchiyama, Hiroyuki Nakamura, Jun-ichi Kuratsu, Jun-ichiro Hamada, Prediction of high-grade meningioma by preoperative MRI assessment Journal of Neuro-oncology. ,vol. 108, pp. 147- 152 ,(2012) , 10.1007/S11060-012-0809-4
Yi Liu, Silky Chotai, Ming Chen, Shi Jin, Song-tao Qi, Jun Pan, Preoperative Radiologic Classification of Convexity Meningioma to Predict the Survival and Aggressive Meningioma Behavior PLOS ONE. ,vol. 10, pp. e0118908- ,(2015) , 10.1371/JOURNAL.PONE.0118908
Daniel Ikeda, E. Antonio Chiocca, Editorial: Dural tail sign Journal of Neurosurgery. ,vol. 117, pp. 643- 644 ,(2012) , 10.3171/2012.2.JNS12266
Arie Perry, Scott L. Stafford, Bernd W. Scheithauer, Vera J. Suman, Christine M. Lohse, Meningioma grading: an analysis of histologic parameters. The American Journal of Surgical Pathology. ,vol. 21, pp. 1455- 1465 ,(1997) , 10.1097/00000478-199712000-00008
Azmy M. Hadidy, Awni F. Musharbash, Tahani M. Ahmad, Walid S. Maani, Maysa A. Al-Hussaini, Abdelkarim A. Al-Abaddi, Mustafa M. Nadi, Descriptive epidemiological analysis, MRI signals intensity and histopathological correlations of meningiomas. Neurosciences. ,vol. 15, pp. 11- 14 ,(2010)
Hanna van Alkemade, Michelle de Leau, Edith M.T. Dieleman, Jan W.P.F. Kardaun, Rob van Os, W. Peter Vandertop, Wouter R. van Furth, Lukas J.A. Stalpers, Impaired survival and long-term neurological problems in benign meningioma Neuro-oncology. ,vol. 14, pp. 658- 666 ,(2012) , 10.1093/NEUONC/NOS013
Meike W. Vernooij, M. Arfan Ikram, Hervé L. Tanghe, Arnaud J.P.E. Vincent, Albert Hofman, Gabriel P. Krestin, Wiro J. Niessen, Monique M.B. Breteler, Aad van der Lugt, Incidental findings on brain MRI in the general population. The New England Journal of Medicine. ,vol. 357, pp. 1821- 1828 ,(2007) , 10.1056/NEJMOA070972