Segmentation of acoustic neuromas with magnetic resonance imaging and Eigen image filtering.
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.


METHODS
This was an observational study.


METHODS
The study was performed in an academic, comprehensive multi-specialty group practice.


METHODS
Patients were a convenience sample of adults of both sexes who had acoustic neuromas identified by magnetic resonance imaging. Tumors ranged widely in size.


METHODS
Magnetic resonance imaging with digital image analysis using Eigen image filtering was the intervention.


METHODS
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.
Monsell
E M
EM
Department of Otolaryngology-Head and Neck Surgery, Henry Ford Hospital, Detroit, Michigan, USA.
Cody
D D
DD
Spickler
E
E
Windham
J P
JP
D000328:Adult; D002530:Cerebellopontine Angle / Q000473:pathology; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D009464:Neuroma, Acoustic / Q000473:pathology*; D000159:Vestibulocochlear Nerve / Q000473:pathology*