Santiago Cepeda1, Cristina Barrena2, Ignacio Arrese2, Gabriel Fernandez-Pérez3, Rosario Sarabia4. 1. Department of Neurosurgery, University Hospital Río Hortega, Valladolid, Spain. Electronic address: cepeda_santiago@hotmail.com. 2. Department of Neurosurgery, University Hospital Río Hortega, Valladolid, Spain. 3. Department of Radiology, University Hospital Río Hortega, Valladolid, Spain. 4. Department of Neurosurgery, University Hospital Río Hortega, Valladolid, Spain; University of Valladolid, Valladolid, Spain.
Abstract
BACKGROUND: Ultrasonographic elastography imaging visualizes the elastic properties of tissues to distinguish pathologic and healthy areas. Real-time elastography measures relative tissue hardness by evaluating changes in local strain in response to external forces. OBJECTIVE: We aimed to determine the elastographic patterns of different brain tumor types and establish differences between their peritumoral regions. METHODS: We prospectively enrolled patients undergoing craniotomy along with intraoperative ultrasonographic elastography for supratentorial brain tumors in March 2018-May 2019. The elastograms were semi-quantitatively analyzed offline based on the mean tissue elasticity of the tumors, peritumoral regions, and healthy parenchyma. RESULTS: We examined 37 lesions in 36 patients. The pathologic diagnoses comprised 11 meningiomas (29.7%), 4 low-grade gliomas (LGGs; 10.8%), 16 high-grade gliomas (HGGs; 43.2%), and 6 metastases (16.2%). The median MTE values observed after manual segmentation of the whole tumor were as follows: meningiomas, 119.9 (36.6); HGGs, 77.9 (18.9); LGGs, 91 (19.5); metastases, 103.9 (35.6); tumor types significantly differed (H = 18.2; P < 0.001). The peritumoral MTE values were as follows: meningiomas, 120.1 (36.3); HGGs, 86.3 (20.9); LGGs, 94.8 (7.38); and metastases, 116.3 (22). The intergroup differences were significant (H = 17.43; P < 0.001). Using receiver operating characteristic curves, we obtained an optimal cutoff point of 92.22 (whole tumors) and 109.6 (peritumoral regions). Values below these cutoff points were correlated with a high probability of being a glioma. CONCLUSIONS: We objectively describe the elastographic patterns of different types of brain tumors (i.e., gliomas, metastases, and meningiomas). We have identified differences in both the tumors and the peritumoral areas of these histologic types.
BACKGROUND: Ultrasonographic elastography imaging visualizes the elastic properties of tissues to distinguish pathologic and healthy areas. Real-time elastography measures relative tissue hardness by evaluating changes in local strain in response to external forces. OBJECTIVE: We aimed to determine the elastographic patterns of different brain tumor types and establish differences between their peritumoral regions. METHODS: We prospectively enrolled patients undergoing craniotomy along with intraoperative ultrasonographic elastography for supratentorial brain tumors in March 2018-May 2019. The elastograms were semi-quantitatively analyzed offline based on the mean tissue elasticity of the tumors, peritumoral regions, and healthy parenchyma. RESULTS: We examined 37 lesions in 36 patients. The pathologic diagnoses comprised 11 meningiomas (29.7%), 4 low-grade gliomas (LGGs; 10.8%), 16 high-grade gliomas (HGGs; 43.2%), and 6 metastases (16.2%). The median MTE values observed after manual segmentation of the whole tumor were as follows: meningiomas, 119.9 (36.6); HGGs, 77.9 (18.9); LGGs, 91 (19.5); metastases, 103.9 (35.6); tumor types significantly differed (H = 18.2; P < 0.001). The peritumoral MTE values were as follows: meningiomas, 120.1 (36.3); HGGs, 86.3 (20.9); LGGs, 94.8 (7.38); and metastases, 116.3 (22). The intergroup differences were significant (H = 17.43; P < 0.001). Using receiver operating characteristic curves, we obtained an optimal cutoff point of 92.22 (whole tumors) and 109.6 (peritumoral regions). Values below these cutoff points were correlated with a high probability of being a glioma. CONCLUSIONS: We objectively describe the elastographic patterns of different types of brain tumors (i.e., gliomas, metastases, and meningiomas). We have identified differences in both the tumors and the peritumoral areas of these histologic types.
Authors: Santiago Cepeda; Sergio García-García; Ignacio Arrese; Gabriel Fernández-Pérez; María Velasco-Casares; Manuel Fajardo-Puentes; Tomás Zamora; Rosario Sarabia Journal: Front Oncol Date: 2021-02-02 Impact factor: 6.244
Authors: Norbert Galldiks; Frank Angenstein; Jan-Michael Werner; Elena K Bauer; Robin Gutsche; Gereon R Fink; Karl-Josef Langen; Philipp Lohmann Journal: Brain Pathol Date: 2022-03 Impact factor: 6.508