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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.C1.009Accuracy 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