title: Computerized ultrasonic tissue characterization of ocular tumors.
abstract: Mathematical evaluation techniques to derive the calibrated power spectrum of reflected ultrasonic echoes from ocular tumors can be used with a clinical computer system to objectively classify malignant melanoma and metastatic carcinoma of the eye. Sets of spectral data provide a reproducible standard for classification that closely approximates the Callender system used in histologic classification. We used spectral data with a computer data library to separate spindle B malignant melanomas (20 tests in 17 patients) from mixed-epithelioid melanomas (17 tests in 13 patients) and to identify metastatic carcinoma (20 tests in 17 patients) with approximately 98% reliability. Tissue structures can be acoustically stained in B-mode images to define the specific anatomic and structural properties that provide the acoustic differentiation. These data are obtained under in vivo conditions and allow a noninvasive classification of tumors in a way not previously possible, aiding in the definitive diagnosis of ocular tumors, as well as in the planning and monitoring of treatment.
mesh_terms: D000704:Analysis of Variance; D003201:Computers; D003937:Diagnosis, Differential; D005134:Eye Neoplasms / Q000175:diagnosis* / Q000556:secondary; D006801:Humans; D008545:Melanoma / Q000175:diagnosis; D014054:Tomography / Q000295:instrumentation* / Q000379:methods; D014465:Ultrasonics / Q000295:instrumentation; D014463:Ultrasonography