News | July 01, 2007

ThinPrep Imager Identifies More Cervical Cancers, Study Says

July 2, 2007 – The ThinPrep Imager, a new computerized test, can detect more high-grade cervical cancers than a conventional Pap smear, according to a study funded by the Australian National Health and Medical Research Council.

"In the samples read by the ThinPrep Imager, there was a significant 17 percent increased detection of high-grade lesions," said researcher Dr. Annabelle Farnsworth, medical director of the Cytology Department at Douglass Hanly Moir Pathology, in North Ryde. "There was also a 50 percent decrease in unsatisfactory slides," she added.

The ThinPrep Imager is designed to highlight any slides that need further examination, and was used in the study to evaluate liquid-based cytology slides. The researchers found that in samples from 55,164 Australian women, the ThinPrep Imager found 1.3 more cases of high-grade cervical abnormalities per 1,000 women screened than the conventional Pap test.

With the ThinPrep Imager there were also fewer unsatisfactory slides (1.78 percent) than with the conventional test (3.09 percent). This means, according to Dr. Farnsworth, that fewer women might need repeated smears. However, higher rates of further testing could result from the ThinPrep Imager’s ability to find more low-grade cell lesions.

The study findings are published in the June 30 issue of the British Medical Journal.

For more information: www.thinprep.com

Related Content

Transpara Deep Learning Software Matches Experienced Radiologists in Mammogram Reading
News | Computer-Aided Detection Software | January 12, 2018
Deep learning and artificial intelligence improves the efficiency and accuracy of reading mammograms, according to...
Videos | Artificial Intelligence | December 19, 2017
A post-game roundup by ITN Contributing Editor Greg Freiherr and ITN Editor Dave Fornell on the key trend of artifici
iCAD's PowerLook Tomo Detection Experiences Growing Adoption
News | Mammography | December 14, 2017
December 14, 2017 — iCAD Inc.
Infervision Launches AI Platform to Help Radiologists Diagnose Stroke Faster
Technology | Computed Tomography (CT) | November 28, 2017
Infervision is introducing what it calls the first and only artificial intelligence (AI) platform to help radiologists...
Kansas City Radiology Center Employs iCAD PowerLook Tomo Detection for DBT
News | Computer-Aided Detection Software | November 10, 2017
November 10, 2017 — Imaging for Women, a leading radiology center in Kansas City, Mo., announced it is now using iCAD
Zebra Medical Vision Collaborating With Google Cloud on AI-Based Imaging Platform
News | Artificial Intelligence | November 09, 2017
Deep learning imaging analytics company Zebra Medical Vision announced that all its current and future radiology...
CureMetrix Expands Medical Advisory Board
News | Computer-Aided Detection Software | November 08, 2017
November 8, 2017 — CureMetrix, a company developing...
PowerLook Tomo Detection Named 2017 New Hampshire High Technology Council Product of the Year
News | Computer-Aided Detection Software | October 27, 2017
iCAD Inc. announced that its PowerLook Tomo Detection has been named 2017 Product of the Year by the New Hampshire High...
Matrix Analytics Beginning Validation of Deep Learning Lung CT Tools
News | Lung Cancer | September 13, 2017
Matrix Analytics announced it will clinically validate its LungDirect deep learning and predictive analytics tools for...
20/20 GeneSystems Launches AI-Based Lung Cancer Detection Technology in China
Technology | Lung Cancer | August 28, 2017
20/20 GeneSystems Inc. recently released in China what is believed to be the world’s first machine learning algorithm...
Overlay Init