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Quantification and classification of echographic findings in the thyroid gland by computerized B-mode texture
1Institut für Radiologie und Pathophysiologie, Deutsches Krebsforschungszentrum Heidelberg.
European Journal of Radiology
|November 1, 1989
Summary
Computerized ultrasound analysis improves thyroid nodule detection and risk assessment. This method aids in identifying suspicious lesions, potentially reducing the need for repeat biopsies when initial results are negative.
Area of Science:
- Medical Imaging
- Diagnostic Ultrasound
- Quantitative Echography
Background:
- Standard thyroid nodule diagnosis relies on conventional ultrasound and needle biopsy.
- Single needle biopsies may not be sufficient to rule out malignancy in all cases.
- There is a need for improved diagnostic accuracy in thyroid echography.
Purpose of the Study:
- To establish quantitative criteria for thyroid echography using computerized B-mode image analysis.
- To assess the diagnostic accuracy of computerized ultrasound in identifying thyroid disease.
- To identify statistical parameters for effective thyroid lesion characterization.
Main Methods:
- Pilot study involving computerized B-mode image analysis of thyroid ultrasound data.
- Evaluation of statistical parameters, including the ten per cent percentile of grey level distribution and entropy.
- Comparison of computerized ultrasound findings with conventional diagnostic methods.
Main Results:
- The ten per cent percentile of grey level distribution and entropy were identified as the most efficient statistical parameters.
- Computerized ultrasound detected all nodular lesions with an overall accuracy of approximately 85%.
- Computer-aided ultrasound effectively identified echographic characteristics indicative of high malignancy risk in thyroid lesions.
Conclusions:
- Computerized ultrasound analysis provides quantitative criteria for thyroid echography.
- The procedure demonstrates significant diagnostic accuracy for thyroid disease, particularly in nodular lesions.
- Computerized analysis can guide decisions for repeat needle biopsies in cases with suspicious findings, even after a negative initial biopsy.