Feature | RSNA 2017 | January 29, 2018

3 High-impact Clinical Trials At RSNA 2017

Trials looked at use of shared decision-making with patients, cardiac CT and opto-acoustic breast imaging 

An example of opto-acoustic breast imaging using the Seno system.

An example of opto-acoustic breast imaging using the Seno system.  

January 26, 2017 — There were three high-impact clinical trials presented at the 2017 Radiological Society of North America (RSNA) meeting that offered radiology practice-changing clinical research.

Shared Decision-making in DCIS

For “Decision Quality and Quality of Life After Treatment for DCIS: A Trial of the ECOG-ACRIN Cancer Research Group,” presented by Ruth C. Carlos, M.D., M.S., and Janie M. Lee, M.D., the researchers hypothesized that patient satisfaction with the decision process in cases of ductal carcinoma in situ (DCIS) influences quality of life following treatment. In the study, they assessed quality of treatment decision-making among women with DCIS who were considered candidates for wide local excision and evaluated the impact of decision quality on quality of life after treatment.

The results showed that objective measures of decision quality, such as knowledge score and decision process score, were high. Only knowledge score predicted post-treatment physical and mental well-being. Although there was no significant difference in knowledge score by surgery type, decision process scores were significantly higher, indicating more shared decision-making, for mastectomy compared to wide local excision.

CT Can Better Classify Cardiac Risk

“Core Laboratory Versus Local Site Interpretation of Coronary CT Angiography (CTA): Association with Cardiovascular Events in the PROMISE (PROspective Multicenter Imaging Study for Evaluation of Chest Pain),” presented by Michael T. Lu, M.D., and Jonathan A. Leipsic, M.D., investigates the concordance and relative prognostic value of central core laboratory versus local site interpretation for significant coronary artery disease.

In the PROMISE trial, 193 North American sites interpreted coronary CTA as part of the clinical evaluation of stable chest pain. CTA was also interpreted retrospectively by a central core lab blinded to clinical data, site interpretation, and outcomes. Concordance between core lab and site interpretation for significant CAD (greater than 50 percent luminal stenosis) was assessed.

The findings revealed that core lab interpretation of coronary CTA classified significantly fewer patients as having significant CAD compared to site interpretation, without a loss of predictive power for cardiovascular events.

This study was simultaneously published online in the journal Radiology.

 

Opto-Acoustic Imaging Better Assesses Breast Masses

The third trial in the session, “A Pivotal Study of Opto-Acoustic Imaging to Diagnose Benign and Malignant Breast Masses: A New Evaluation Tool for Radiologists,” will be presented by Erin I. Neuschler, M.D., and Constance D. Lehman, M.D., Ph.D.

The trial compares the specificity of an investigational optoacoustics (OA/US) breast imaging device with that of gray-scale ultrasound in evaluating breast masses. OA/US functional imaging fuses the high contrast resolution of optical imaging with the good spatial resolution of ultrasound.

A prospective 16-site study was undertaken to compare the BI-RADS classifications of breast masses assigned by independent readers using ultrasound alone to those assigned using OA/US images.

The researchers found that OA/US had better specificity than ultrasound in assessing breast masses and had an excellent negative likelihood ratio. These results suggest that OA/US offers the potential to reduce false positive diagnoses and to further enhance gray scale ultrasound accuracy in breast mass assessment.

This study was published online in the journal Radiology.

 

Read about other Key RSNA 2017 Study Presentations, Trends and Video.
 

Related Content

FDA Clears GE's Deep Learning Image Reconstruction Engine
Technology | Computed Tomography (CT) | April 19, 2019
GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) of its Deep Learning Image...
In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images. Photo by Greg Freiherr

Feature | Artificial Intelligence | April 19, 2019 | By Greg Freiherr
Commercial efforts to develop...
Videos | Breast Imaging | April 18, 2019
In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, ...
Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer

Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org

Feature | Breast Imaging | April 18, 2019 | By Greg Freiherr
When planning a screening program to detect the early signs of breast cancer, age is a major consideration.
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
Ebit and DiA Imaging Analysis Partner on AI-based Cardiac Ultrasound Analysis
News | Cardiovascular Ultrasound | April 16, 2019
DiA Imaging Analysis has partnered with the Italian healthcare IT company Ebit (Esaote Group), to offer DiA’s LVivo...
compressed breast during mammography.
360 Photos | 360 View Photos | April 16, 2019
A 360 view of a simulated breast compression for a...
Radiology Publishes Roadmap for AI in Medical Imaging
News | Artificial Intelligence | April 16, 2019
In August 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Md., to explore the future...