Tumor volume and the dural tail sign enable the differentiation of intracranial solitary fibrous tumor/hemangiopericytoma from high-grade meningioma

被引:7
作者
Xiao, Dongdong [1 ]
Shi, Jiawei [2 ,3 ]
Zhou, Mengting [4 ]
Yan, Ling [5 ]
Zhao, Zhen [1 ]
Hu, Tingting [1 ]
Guo, Xuebing [6 ]
Zhao, Hongyang [1 ]
Yan, Pengfei [1 ]
Jiang, Xiaobing [1 ]
机构
[1] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Neurosurg, 1277 Jiefang Ave, Wuhan 430022, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Ultrasound, Wuhan 430022, Peoples R China
[3] Hubei Prov Key Lab Mol Imaging, Wuhan 430030, Peoples R China
[4] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Canc Ctr, Wuhan 430022, Peoples R China
[5] Univ British Columbia, Fac Med, Vancouver, BC, Canada
[6] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Pathol, Wuhan 430022, Peoples R China
关键词
High-grade meningioma; Tumor volume; Dural tail sign; Differential diagnosis; Intracranial solitary fibrous tumor; hemangiopericytoma; CENTRAL-NERVOUS-SYSTEM; MENINGEAL HEMANGIOPERICYTOMA; DIAGNOSIS; MRI; MANAGEMENT; GENE;
D O I
10.1016/j.clineuro.2021.106769
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objectives: Intracranial solitary fibrous tumor/hemangiopericytoma (SFT/HPC) is a rare mesenchymal neoplasm with imaging features mimicking high-grade meningioma (HGM) and can easily be misdiagnosed. We sought to determine the value of routine preoperative data in differentiating these tumors. Patients and methods: Patients with confirmed SFT/HPC or HGM between January 2012 and June 2020 were identified. A total of 28 preoperative variables (including age, sex, tumor location, tumor volume, 10 traditional MRI features, and 14 peripheral blood indices) were collected for each patient. The top features were selected sequentially based on the least absolute shrinkage and selection operator (LASSO) and support vector machines recursive feature elimination (SVM-RFE) methods. Differentiation and calibration of the classifiers were assessed by receiver operating characteristic (ROC) curves and calibration curves, respectively. Nomograms were constructed based on multivariate analysis. Results: A total of 127 patients, including 29 with SFT/HPC and 98 with HGM, were analyzed. Three features were first selected using the LASSO and SVM-RFE methods, and corresponding models were developed. Although the area under the curve (AUC) of model 1 was the highest, a comprehensive analysis suggested the superiority of model 2, which consisted only of the features tumor volume (TV) and dural tail sign (DTS) (AUC: 0.942, sensitivity: 93.10%, p-value of H-L test: 0.734, Brier score: 0.07). A risk score formula and a nomogram were constructed. Conclusions: TV can be used to effectively identify SFT/HPC and HGM, whereas adding DTS can improve the overall prediction accuracy. As these two variables are routinely available and are easy for clinicians to master, they can provide a powerful reference for clinical decision-making.
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页数:10
相关论文
共 48 条
[1]   Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum [J].
Agranoff, Dan ;
Fernandez-Reyes, Delmiro ;
Papadopoulos, Marios C. ;
Rojas, Sergio A. ;
Herbster, Mark ;
Loosemore, Alison ;
Tarelli, Edward ;
Sheldon, Jo ;
Schwenk, Achim ;
Pollak, Richard ;
Rayner, Charlotte F. J. ;
Krishna, Sarjeev .
LANCET, 2006, 368 (9540) :1012-1021
[2]   Intracranial solitary fibrous tumors/hemangiopericytomas: first report of malignant progression [J].
Apra, Caroline ;
Mokhtari, Karima ;
Cornu, Philippe ;
Peyre, Matthieu ;
Kalamarides, Michel .
JOURNAL OF NEUROSURGERY, 2018, 128 (06) :1719-1724
[3]   Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers [J].
Austin, Peter C. ;
Steyerberg, Ewout W. .
STATISTICS IN MEDICINE, 2014, 33 (03) :517-535
[4]   The prognostic and predictive impact of inflammatory biomarkers in patients who have advanced-stage cancer treated with immunotherapy [J].
Bilen, Mehmet A. ;
Martini, Dylan J. ;
Liu, Yuan ;
Lewis, Colleen ;
Collins, Hannah H. ;
Shabto, Julie M. ;
Akce, Mehmet ;
Kissick, Haydn T. ;
Carthon, Bradley C. ;
Shaib, Walid L. ;
Alese, Olatunji B. ;
Pillai, Rathi N. ;
Steuer, Conor E. ;
Wu, Christina S. ;
Lawson, David H. ;
Kudchadkar, Ragini R. ;
El-Rayes, Bassel F. ;
Master, Viraj A. ;
Ramalingam, Suresh S. ;
Owonikoko, Taofeek K. ;
Harvey, R. Donald .
CANCER, 2019, 125 (01) :127-134
[5]   ALDH1 is an immunohistochemical diagnostic marker for solitary fibrous tumours and haemangiopericytomas of the meninges emerging from gene profiling study [J].
Bouvier, Corinne ;
Bertucci, Francois ;
Metellus, Philippe ;
Finetti, Pascal ;
de Paula, Andre Maues ;
Forest, Fabien ;
Mokhtari, Karima ;
Miquel, Catherine ;
Birnbaum, Daniel ;
Vasiljevic, Alexandre ;
Jouvet, Anne ;
Coindre, Jean-Michel ;
Loundou, Anderson ;
Figarella-Branger, Dominique .
ACTA NEUROPATHOLOGICA COMMUNICATIONS, 2013, 1
[6]   How Accurate Is Multiparametric MR Imaging in Evaluation of Prostate Cancer Volume? [J].
Bratan, Flavie ;
Melodelima, Christelle ;
Souchon, Remi ;
Au Hoang Dinh ;
Mege-Lechevallier, Florence ;
Crouzet, Sebastien ;
Colombel, Marc ;
Gelet, Albert ;
Rouviere, Olivier .
RADIOLOGY, 2015, 275 (01) :144-154
[7]   Probe Lasso: A novel method to rope in differentially methylated regions with 450K DNA methylation data [J].
Butcher, Lee M. ;
Beck, Stephan .
METHODS, 2015, 72 :21-28
[8]   Differentiating intracranial solitary fibrous tumor/hemangiopericytoma from meningioma using diffusion-weighted imaging and susceptibility-weighted imaging [J].
Chen, Tanhui ;
Jiang, Bingqing ;
Zheng, Yingyan ;
She, Dejun ;
Zhang, Hua ;
Xing, Zhen ;
Cao, Dairong .
NEURORADIOLOGY, 2020, 62 (02) :175-184
[9]  
Cummings TJ, 2001, ACTA NEUROPATHOL, V102, P349
[10]   Edge Transformations for Improving Mesh Quality of Marching Cubes [J].
Dietrich, Carlos A. ;
Scheidegger, Carlos E. ;
Schreiner, John ;
Comba, Joao L. D. ;
Nedel, Luciana P. ;
Silva, Claudio T. .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2009, 15 (01) :150-159