OBJECTIVE: This study aimed to determine whether magnetic resonance imaging with Eigen image filtering can segment acoustic neuromas as a preliminary requirement to the development and validation of a volumetric method of measuring tumor size and growth using Eigen image filtering. STUDY DESIGN: This was an observational study. SETTING: The study was performed in an academic, comprehensive multi-specialty group practice. PATIENTS: Patients were a convenience sample of adults of both sexes who had acoustic neuromas identified by magnetic resonance imaging. Tumors ranged widely in size. INTERVENTION: Magnetic resonance imaging with digital image analysis using Eigen image filtering was the intervention. MAIN OUTCOME MEASURE: Observation and analysis of magnetic resonance images was the main outcome measure. RESULTS: The ability of magnetic resonance imaging with Eigen image filtering to segment acoustic neuromas of various sizes and shapes is illustrated. CONCLUSIONS: Magnetic resonance imaging with digital image analysis using Eigen image filtering is a promising method for volumetric measurement of acoustic neuroma size and growth. The potential for acoustic neuromas to grow may be underestimated by linear methods because of their relative lack of precision and of the geometric error that occurs in representing the volumetric growth of a three-dimensional tumor as a linear diameter.
OBJECTIVE: This study aimed to determine whether magnetic resonance imaging with Eigen image filtering can segment acoustic neuromas as a preliminary requirement to the development and validation of a volumetric method of measuring tumor size and growth using Eigen image filtering. STUDY DESIGN: This was an observational study. SETTING: The study was performed in an academic, comprehensive multi-specialty group practice. PATIENTS: Patients were a convenience sample of adults of both sexes who had acoustic neuromas identified by magnetic resonance imaging. Tumors ranged widely in size. INTERVENTION: Magnetic resonance imaging with digital image analysis using Eigen image filtering was the intervention. MAIN OUTCOME MEASURE: Observation and analysis of magnetic resonance images was the main outcome measure. RESULTS: The ability of magnetic resonance imaging with Eigen image filtering to segment acoustic neuromas of various sizes and shapes is illustrated. CONCLUSIONS: Magnetic resonance imaging with digital image analysis using Eigen image filtering is a promising method for volumetric measurement of acoustic neuroma size and growth. The potential for acoustic neuromas to grow may be underestimated by linear methods because of their relative lack of precision and of the geometric error that occurs in representing the volumetric growth of a three-dimensional tumor as a linear diameter.
Authors: Anneyuko I Saito; Christopher G Morris; Kana Ito; Futoshi Watanabe; Kumiko Karasawa; William M Mendenhall; Yutaka Naoi Journal: Radiat Med Date: 2007-08-27