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IQQA®-Chest - Customer Testimonials

“The combined sensitivity of four radiologists for detecting small (5-15 mm diameter) pulmonary nodules rose from 65.6% when the digital images were read without CAD (IQQA-Chest) to 80.6% when they were re-read with CAD aiding the interpretation.”
Auntminnie.com. CAD boosts sensitivity of x-ray lung cancer screening. January 2011. Reporting on RSNA publication from Beijing Friendship Hospital, P.R.China

 “If you use this device (IQQA-Chest) as it’s intended, as a second look, something to bring your attention to an area, your  specificity can be mid 80’s [and] accuracy around high 70 [or] low 80 percentile. That’s pretty spectacular when you’re talking about pulmonary nodules between 5-mm and 15-mm size.” William Moore MD, Stony Brook University Hospital
Auntminnie.com. Chest x-ray CAD offers value in detecting lung cancers. June 2010. Reporting on the publication in Journal of Digital Imaging. March 2010

“CAD (IQQA-Chest) improves the sensitivity of inexperienced readers for the detection of small lung lesions without detrimental effect on false positive rate. CAD detects different lesions than radiologists. Reader performance with CAD may be further improved if the high rate of rejected true positive CAD marks can be reduced.”
D.W. De Boo, C.M. Schaefer-Prokop MD, et al; University of Amsterdam Academic Medical Center, the Netherlands
2nd World Congress Thoracic Imaging, Valencia, Spain. June 2009

“Radiologists can take advantage of the CAD (IQQA-Chest) software to improve the detection of lung nodules especially for small and subtlety nodules, without increasing the rate of false positives.”
M. Cakirdas, Jean Luc Michel, et al; University Hospital, Clermont-Ferrand, France
2nd World Congress Thoracic Imaging, Valencia, Spain. June 2009

“The study shows the CAD (IQQA-Chest) system can improve the observers’ performance in detecting malignant lung nodules on chest radiograph.”
J.M. Goo MD, K.N. Jin, et al; Seoul National University Hospital, South Korea
2nd World Congress Thoracic Imaging, Valencia, Spain. June 2009
 
”CAD (IQQA-Chest), which is integrated into the hospital’s Kodak Carestream PACS Client Suite has helped to streamline workflow. … As a doctor, it is always good to ask a second opinion, and we are able to get that with CAD.” Yasuo Sasaki MD, PhD, Director of Radiology, Iwate Prefectural Central Hospital in Moroika
Health Imaging & IT. Integrating Lung CAD and PACS Streamlining Day-to-Day Usability. February 2009

“Evaluation of the interobserver agreement demonstrated a significantly higher agreement among the radiologists than between the individual radiologists and the CAD (IQQA-Chest) system. This may indicate that the CAD system detects other lesions than the radiologists find. …Encouraged by the results of our study, we have started to use the tested CAD system in daily reading as a second opinion following the radiologist’s image interpretation.”
T.A. Bley MD, E. Kotter MD, et al; University Hospital Freiburg, Freiburg, Germany
Investigative Radiology. June 2008

“This (prospective) study suggests that the interpretation of chest radiographs for lung nodules can be improved using an automated CAD (IQQA-Chest) nodule detection system. This improvement in reader performance comes with a minimal number of false positive interpretations.” E.J.R. van Beek MD, Carver College of Medicine, University of Iowa
Academic Radiology. May 2008

“As an IT manager, I hear companies state all the time that their product is so easy to install and integrate with PACS. Usually, this is far from the truth. All too often, you run into a series of problems that turns ‘easy’ into ‘extremely challenging’. This was not the case at all with IQQA-Chest Enterprise. In a little over 1.5 hours, we had the server integrated with PACS, with all of our CR readers pointing to IQQA-Chest – and the process was complete. I was completely amazed by how easy this was.“ Anthony Indelicato, Operating Manager for the Department of Radiology at Stony Brook University Hospital, New York
Radiology Today. A Conversation with Anthony Indelicato. March 2008

“Our results showed that both experienced and less experienced radiologists could benefit from lung CAD, although the less experienced had a greater benefit. For small nodules picked up at an early stage because of the use of IQQA-Chest, and later confirmed on CT and followed through to have a positive pathology report, patient prognosis changes.” Daqing Ma MD, Professor, Beijing Friendship Hospital, P.R. China
Health Imaging & IT. Enterprise Lung CAD Eases Workflow. January 2008

“There is a critical need to develop computer-aided detection (CAD) of chest DR analysis, which can ensure accurate, consistent, and efficient diagnoses. IQQA-Chest will therefore provide assistance with the examination of chest DR images in large-scale screening for lung cancer.” Song & Jin, Beijing Union Hospital, P.R. China
Chinese Medical Sciences Journal. March 2007

“The computer system (IQQA-Chest) could help radiologists identify more lesions, especially small ones that are more likely to be overlooked, on chest DR/CR images, while its FPs were easy to recognize and dismiss. It is suggested that DR/CR assisted by the real-time interactive pulmonary nodule analysis system may be an effective means to screen large populations for lung cancer.”
 Xu and He MD, et al; Beijing Friendship Hospital, P.R.China
European Congress of Radiology, Vienna, Austria. March 2007

“With the number of chest X-rays we read on a daily basis, to maximize the benefit from a CAD application will be highly dependent upon the accessibility we have to the full application at our PACS review stations. EDDA has cleared this hurdle with IQQA®-Chest Enterprise. The immediacy we now enjoy with this tool allows us to expand our use of the application at the University of Iowa with the prospect of further enhancing our overall detection rate.” Edwin van Beek MD, Professor of Radiology, University of Iowa Hospital and Clinics
Reporting on RSNA publication from Chicago, Illinois. November 2006

“Experimental results indicate that computer suggestions compliment individual reader, and the majority of false positives are considered as easy to dismiss.”
Kemin Chen MD, et al; Shanghai Ruijin Hospital, P.R.China
15th International Conference of Screening on Lung Cancer, New York. October 2006

 

 


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