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Electronic Letters to:
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Electronic letters published:
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Stefano Ciatto, MD, radiologist Centro per lo Studio e la Prevenzione Oncologica
Send letter to journal:
s.ciatto{at}cspo.it Stefano Ciatto, MD
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Editor: In their report, Dr. Chang and colleagues (1) conclude that “three-dimensional power Doppler US images and neural network analysis of features can aid in classification of breast tumors as benign or malignant.” I respectfully ask who would be aided by such a test. State-of-the-art differential diagnosis of equivocal breast lesions detected at palpation or imaging is currently based on free-hand or US- or stereo-guided core biopsy, which has been commonly reported to be associated with an overall diagnostic accuracy exceeding 90% and a sensitivity exceeding 95%, at a relatively limited cost. What would be the advantage of using an alternative approach with an 85% accuracy and an 83% sensitivity—not to mention the cost of a new technique, which is likely far from being null? The variety of new diagnostic techniques (eg, color or power Doppler US, scintimammography, contrast-enhanced US, elastography) proposed in the last decade as possible surrogates for standard microinvasive tissue diagnosis seems to be prompted by some a priori refusal to use percutaneous needle biopsy that is hard to explain and should be justified by at least having comparable (possibly better) accuracy relative to state-of-the-art methods. Reference 1. Chang R-F, Huang S-F, Moon WK, Lee Y-H, Chen D-R. Solid breast masses: neural network analysis of vascular features at three-dimensional power Doppler US for benign or malignant classification. Radiology 2007;243:56-62. |
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