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Official Proceedings - AIUM

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American Institute of Ultrasound in Medicine <strong>Proceedings</strong> J Ultrasound Med 32(suppl):S1–S134, 2013nant lesions, SVI had no V s in 10 (18.1%); 25 (44.6%) were benign; and21 (37.5%) were malignant. The QM was low in all cases where no SVIsignal was obtained: in 19 of 25 (76.0%) soft malignant lesions, 2 of 5(40%) hard benign lesions, and 6 of 89 (6.7%) soft benign lesions. TheQM was high in 3 of 25 (12.0%) soft malignant lesions, which were lymphoma.Three false-negatives on EI were lymphomas. In cases were thereis a low QM, if the lesion is solid, it is most likely a cancer.Conclusions—Strain imaging had the highest sensitivity, whileSVI had the highest specificity (without or with the QM). There was a significantimprovement in the sensitivity of SVI with the addition of theQM; however, an additional 16.9% of cases could not be evaluated.Table 1. Comparison of TechniquesNo. Sensitivity, Specificity,Technique Evaluable % % AUROCStrain (EI) 163 95 88 0.9595SVI – QM 166 41 95 0.6756SVI + QM 138 78 94 0.7988SVI + low QM and 166 93 87 0.9006solid lesion = malignantAUROC indicates area under the ROC curve.1536920 Differentiation of Benign and Malignant Breast Lesions:A Comparison Between Automatically Generated BreastVolume Scans and Handheld Ultrasound ExaminationsHongyan Wang, 1 * Yuxin Jiang, 1 Qingli Zhu, 1 Jing Zhang, 1Qing Dai, 1 He Liu, 1 Xingjian Lai, 1 Qiang Sun 2 1 DiagnosticUltrasound, 2 Breast Surgery, Peking Union Medical CollegeHospital, Beijing, ChinaObjectives—To assess the diagnostic value of automated breastvolume scanning (ABVS) and conventional handheld ultrasonography(HHUS) for the differentiation of benign and malignant breast lesions.Methods—The study prospectively evaluated 239 lesions in213 women who were scheduledfor open biopsy. The patients underwent ABVS and conventionalHHUS. The sensitivity, specificity, accuracy, false-positive rate,false-negative rate, and positive and negative predictive values for HHUSand ABVS images were calculated using histopathologic examination asthe gold standard. Additionally, diagnostic accuracy was further evaluatedaccording to the size of the masses.Results—Among the 239 breast lesions studied, pathology revealed85 (35.6%) malignant lesions and 154 (64.4%) benign lesions.ABVS was similar to HHUS in terms of sensitivity (95.3% vs 90.6%),specificity (80.5% vs 82.5%), accuracy (85.8% vs 85.3%), positive predictivevalue (73.0% vs 74.0%), and negative predictive value (93.3% vs94.1%). The area under the receiver operating characteristic curve, whichis used to estimate the accuracy of the methods, demonstrated only minordifferences between HHUS and ABVS (0.928 and 0.948, respectively).Conclusions—The diagnostic accuracy of HHUS and ABVS indifferentiating benign from malignant breast lesions is almost identical.However, ABVS can offer new diagnostic information. ABVS may helpdistinguish between real lesions and inhomogeneous areas, find smalllesions, and demonstrate the presence of intraductal lesions. This techniqueis feasible for clinical applications and is a promising new techniquein breast imaging.1540513 Functional Images of Hemoglobin and Blood OxygenSaturation Coregistered With Ultrasound Provide AccurateDifferentiation of Breast TumorsPamela Otto, 1 * Kenneth Kist, 1 N. Carol Dornbluth, 1 ThomasStavros, 2 Donald Herzog, 2 Thomas Miller, 2 Bryan Clingman, 2Jason Zalev, 2 Michael Ulissey, 3 Philip Lavin, 4 SergeyErmilov, 5 Alexander Oraevsky 2,5 1 Radiology, University ofTexas Health Science Center, San Antonio, Texas USA; 2 SenoMedical Instruments, San Antonio, Texas USA; 3 Radiology,University of Texas Southwestern Medical Center, Dallas, TexasUSA; 4 Aptiv Solutions, Southborough, Massachusetts USA;5TomoWave Laboratories, Inc, Houston, Texas USAObjectives—A novel system called Imagio combines ultrasound(US) and opto-acoustics (OA) to more accurately distinguish malignantfrom benign tumors. We analyzed the ability of blind readers toassess the probability of malignancy (POM) using coregistered functionaland anatomic images vs conventional diagnostic ultrasound (DUS) alone.Methods—Seventy-three patients with breast masses were assessedwith OA and DUS. All the masses were biopsied, and histologywas the gold standard. OA employs near-infrared laser pulses at 2 differentwavelengths (to provide contrast between oxygenated hemoglobin inbenign lesions and deoxygenated hemoglobin in malignant lesions) to illuminatetissues through a fiber-optic bundle incorporated into a prototypehandheld OA US probe. It detects the laser pulse–induced acousticpressure waves that are then used for reconstruction of 2D functional andanatomic images. OA maps of total hemoglobin and blood oxygen saturationprovide functional information that is coregistered with the morphologicalinformation from B-mode grayscale US images.Results—Five blinded readers independently assessed POMfor OA and DUS. OA provided a >40% higher mean POM for all malignantlesions, a >30% higher mean POM for malignant Breast ImagingReporting and Data System (BI-RADS) 4B lesions, and a >10% highermean POM for malignant BI-RADS 5 lesions than did DUS. OA could potentiallyspare 23.7% more negative biopsies than DUS at the critical 2%POM level.Conclusions—The fused functional OA and grayscaleanatomic information significantly improved distinction of benign frommalignant breast masses compared with DUS alone, especially within theBI-RADS 4B category, where OA better distinguishes benign from malignantlesions and thereby prevents unnecessary biopsies.1522001 Granulomatous Mastitis: Clinical and Sonographic FeaturesWith Image-Guided Biopsy CorrelationPriyanka Handa, 1 * Derek Sun, 1 Jill Leibman, 1,2 Aryeh Goldberg,1 Maria Abadi 1,2 1 Jacobi Medical Center, Bronx, NewYork USA; 2 Albert Einstein College of Medicine, Bronx, NewYork USAObjectives—Granulomatous mastitis (GM) is an unusual inflammatorylesion that can mimic breast cancer on clinical exam andimaging studies. The purpose of this study was to review the clinical presentationand imaging findings (including sonography) associated with GMand determine the adequacy of image-guided biopsy for diagnosis.Methods—A retrospective study was performed to identify patientswith breast imaging studies and a pathologic diagnosis of GM. Theclinical presentation, imaging findings, biopsy method, and pathology reportswere reviewed.Results—Twenty-seven patients were included; average agewas 35.3 years (range, 21–66 years). Twenty-four patients presented withpain, a palpable mass, and/or discharge. Three asymptomatic patients presentedfor screening mammograms. All patients were imaged with ultrasound(US), demonstrating a mass in 19 (70%), tubular lucencies withouta mass in 6 (22%), and no findings in 2 (8%). In the 25 patients with positivesonographic findings, the mass was anechoic in 3 (12%), hypoechoicS13

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