We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Hybrid Imaging Technology Shows Potential in Identifying Hard-to-Detect Ovarian Cancer

By MedImaging International staff writers
Posted on 20 Sep 2011
Print article
Image: A malignant postmenopausal ovary (A). Coregistered ultrasound and photoacoustic images of two different locations are shown in B and C. (B1 and C1) H&E stains (A-40) of the corresponding areas showing extensive high-grade tumors. (B2 and C2) CD31 stains (A-100) of the corresponding areas showing extensive thin-walled microvessels. White bar, 5 mm (Photo courtesy of the University of Connecticut School of Engineering).
Image: A malignant postmenopausal ovary (A). Coregistered ultrasound and photoacoustic images of two different locations are shown in B and C. (B1 and C1) H&E stains (A-40) of the corresponding areas showing extensive high-grade tumors. (B2 and C2) CD31 stains (A-100) of the corresponding areas showing extensive thin-walled microvessels. White bar, 5 mm (Photo courtesy of the University of Connecticut School of Engineering).
By combining three previously distinct imaging modalities into one new device, a team of researchers has proposed a new way to diagnose early-stage ovarian cancer in high-risk women through minimally invasive surgery. The new technique may be better than the current standard procedure of preemptively removing the ovaries.

Ovarian cancer has a low survival rate because a lack of effective screening techniques typically means the disease remains hidden until the later stages. Now researchers from the University of Connecticut (Storrs, USA) and the University of Southern California (USC; Los Angeles, USA) have drawn on the unique advantages of multiple imaging approaches to evaluate a new way of spotting early-on the tissue irregularities that are hallmarks of cancer.

For their diagnostic device, the researchers combined the contrast provided by photoacoustic imaging, the high-resolution subsurface imaging provided by optical coherence tomography (OCT), and the deeper tissue imaging provided by pulse-echo ultrasound. They assessed their device, described by the team in the September 2011 issue of the Optical Society’s (OSA) open-access journal Biomedical Optics Express, by imaging both pig and human ovarian tissue, and accurately identified malignant tumors that were later validated by staining the tissue and examining it under a microscope. These early tests were performed on tissue that had been surgically removed, but the diameter of the device--at only 5 mm--is small enough that it could potentially be inserted through a small slit to image tissue in live patients.

Related Links:

University of Connecticut
University of Southern California



New
Gold Member
X-Ray QA Meter
T3 AD Pro
Ultra-Flat DR Detector
meX+1717SCC
New
Doppler String Phantom
CIRS Model 043A
New
3T MRI Scanner
MAGNETOM Cima.X

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: The scans revealed a new dimension of brain network organization in humans (Photo courtesy of Georgia State University/TReNDS Center Research)

New Approach Identifies Signatures of Chronic Brain Disorders Using fMRI Scans

Traditional studies of brain function, often using fMRI scans to detect brain activity patterns, have shown promise in identifying changes in individuals with chronic brain disorders like schizophrenia.... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.