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Medical Imaging 2016

October 20-21, 2016

Volume 5, Issue 5(Suppl)

OMICS J Radiol

ISSN: 2167-7964 ROA, an open access journal

conferenceseries

.com

October 20-21, 2016 Chicago, USA

International Conference on

Medical Imaging & Diagnosis

Elaine Iuanow et al., OMICS J Radiol 2016, 6:5(Suppl)

http://dx.doi.org/10.4172/2167-7964.C1.009

Accuracy of cyst vs. solid diagnosis in the breast using quantitative transmission (QT) ultrasound

Elaine Iuanow, Kathleen Smith, Nancy A Obuchowski, Jennifer Bullen and John C Klock

Cleveland Clinic Foundation, USA

W

e present the results of a receiver operator characteristic (ROC) study using an emerging ultrasound technology,

quantitative transmission (QT) ultrasound. We present the readers the accuracy in determining whether a breast lesion

is a cyst versus a solid using QT ultrasound. Digital mammograms (XRM) and QT ultrasound imaging were selected from the

QT ultrasound library of images. All solid cases had ground truth pathology. Hand held ultrasound images were used as ground

truth for cysts. Thirteen readers performed blinded reading of 32 cases (15 solids and 17 cysts) using XRM+QT, assigning both

a confidence score (0-100) and a binary classification (solid/cyst) to classify lesions. A 95% percentile bootstrap confidence

interval (CI) was computed for the mean readers’ area under the ROC curve, sensitivity (proportion of solids correctly classified

as solid) and specificity (proportion of cysts correctly classified as cysts). Results show that when a speed of sound measurement

>1571 m/s was used to indicate a solid, mean sensitivity and specificity of QT ultrasound were 0.75 (95% CI: 0.56, 0.92) and

0.85 (CI: 0.67, 1.00), respectively. Using the readers’ binary classifications with XRM+QT, mean sensitivity and specificity were

0.95 (CI: 0.87, 1.00) and 0.84 (CI: 0.66, 0.98), respectively. When the readers’ confidence scores with XRM+QT were used

to distinguish solids versus cysts, mean ROC area was 0.923 (CI: 0.830, 0.988). QT ultrasound is an emerging ultrasound

technology that demonstrates high accuracy in distinguishing cyst versus solid lesions in the breast.

Biography

Elaine Iuanow has graduated with her Medical degree from Tuft’s University School of Medicine and has completed her Fellowship in Breast Imaging at Brigham

and Women’s/Faulkner-Sagoff Breast Center in Boston, MA. She is the Chief Medical Officer working with the research and development team at QT Ultrasound

Labs, a novel breast ultrasound development company based in the San Francisco Bay Area. She brings her significant expertise in Breast Imaging as a Board

Certified Radiologist with experience in administering world class care at premier medical institutions in the United States. Her research interests include breast

ultrasound, entrepreneurship in health care delivery models, providing care to underserved women, breast disease in female and male patients, and advocacy

regarding preventative breast health on the local, national and global arenas.

elaine.iuanow@qtultrasound.com