PURPOSE: To assess the efficacy of the ABC/2 method for calculating the volume of vestibular schwannomas as compared with 3-D planimetric method. STUDY DESIGN: Retrospective. METHODS: Fifty eight cases of pathologically confirmed sporadic vestibular schwannomas (VS) were analyzed. Tumors volumes were calculated for each tumor twice, once through semiautomated 3-D volumetric method and subsequently through ABC/2 (AP × ML × CC/2) methodology after calculating the maximal tumor dimensions in anteroposterior (AP), coronal (ML), and craniocaudal (CC) dimensions. Tumor volumes were initially correlated as a group and subsequently by dividing them into three groups using the Hannover classification. RESULTS: The two methodologies were highly correlated when tumors were analyzed as a group (rho = 0.913, p < 0.0001). In the sub-group analysis, tumor volumes were again strongly correlated for larger tumors (rho = 0.918, p < 0.0001) but the correlation progressively reduced as tumor volumes decreased. CONCLUSION: Given the ease and universal accessibility of linear measurement applications, the ABC/2 methodology is a robust substitute for calculating tumor volumes, especially for larger tumors.
PURPOSE: To assess the efficacy of the ABC/2 method for calculating the volume of vestibular schwannomas as compared with 3-D planimetric method. STUDY DESIGN: Retrospective. METHODS: Fifty eight cases of pathologically confirmed sporadic vestibular schwannomas (VS) were analyzed. Tumors volumes were calculated for each tumor twice, once through semiautomated 3-D volumetric method and subsequently through ABC/2 (AP × ML × CC/2) methodology after calculating the maximal tumor dimensions in anteroposterior (AP), coronal (ML), and craniocaudal (CC) dimensions. Tumor volumes were initially correlated as a group and subsequently by dividing them into three groups using the Hannover classification. RESULTS: The two methodologies were highly correlated when tumors were analyzed as a group (rho = 0.913, p < 0.0001). In the sub-group analysis, tumor volumes were again strongly correlated for larger tumors (rho = 0.918, p < 0.0001) but the correlation progressively reduced as tumor volumes decreased. CONCLUSION: Given the ease and universal accessibility of linear measurement applications, the ABC/2 methodology is a robust substitute for calculating tumor volumes, especially for larger tumors.
Authors: S Weiner; M Strinitz; J Herfurth; F Hessenauer; C Nauroth-Kreß; T Kampf; G A Homola; N Üçeyler; C Sommer; M Pham; M Schindehütte Journal: AJNR Am J Neuroradiol Date: 2022-04-21 Impact factor: 3.825
Authors: Christina Gerges; Patrick Malloy; Nicholas Rabah; Dana Defta; Yifei Duan; Christina H Wright; Marte van Keulen; James Wright; Sarah Mowry; Cliff A Megerian; Nicholas Bambakidis Journal: J Neurol Surg B Skull Base Date: 2021-02-04
Authors: Sae-Yeon Won; Andrea Zagorcic; Daniel Dubinski; Johanna Quick-Weller; Eva Herrmann; Volker Seifert; Juergen Konczalla Journal: PLoS One Date: 2018-06-26 Impact factor: 3.240