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
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Light Scattering Spectroscopy Identifies Malignant Cysts

By MedImaging International staff writers
Posted on 30 Mar 2017
Print article
Image: A novel spectroscopy probe can identify malignancy in pancreatic cysts (Photo courtesy of BIDMC).
Image: A novel spectroscopy probe can identify malignancy in pancreatic cysts (Photo courtesy of BIDMC).
A new light scattering spectroscopy (LSS) device can distinguish between harmless pancreatic cysts and those with malignant potential with high accuracy, according to a new study.

Developed by researchers at Beth Israel Deaconess Medical Center, the new tool, half a millimeter in diameter, detects structural changes in cancerous or pre-cancerous cells by using a spatial gating fiberoptic probe inserted into a fine-needle aspiration (FNA) needle. The miniature fiberoptic probe measures optical spectra from the internal cyst surface to predict malignant potential, before collecting cystic fluid as part of routine diagnostic endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) procedures.

To test the accuracy of the LSS system, the researchers collected and analyzed the reflected light from 13 cysts; they then compared their findings with the results from pre-operative imaging, FNA biopsies, and post-operative tissues analysis. In all cases, the LSS diagnosis agreed with the post-operative analysis. In a second experiment, the LSS tool was tested in 14 patients with pancreatic cysts who were undergoing standard FNA biopsy. Out of nine patients whose cysts had been definitely diagnosed as either cancerous or benign, all were correctly identified by LSS. The study was published on March 13, 2017, in the Nature Biomedical Engineering.

“About one-fifth of pancreatic cancers develop from cysts, but not all lesions are cancerous,” said senior author Lev Perelman, PhD, director of the BIDMC center for advanced biomedical imaging and photonics. “Considering the high risk of pancreatic surgeries and the even higher mortality from untreated pancreatic cancers, there's an obvious need for new diagnostic methods to accurately identify the pancreatic cysts that need surgical intervention, and those that do not.”

Pancreatic cysts are fluid-filled growths that develop in the pancreas. Sometimes pancreatic cysts grow as a result of pancreatitis, an inflammation in the pancreas; but most develop for no apparent reason and are discovered by chance during a computerized tomography (CT) or magnetic resonance imaging (MRI) scan done for another purpose. Most pancreatic cysts are benign, but some have the potential to develop into pancreatic cancer.

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Portable X-Ray Unit
AJEX240H
Color Doppler Ultrasound System
DRE Crystal 4PX
New
Ultrasound Table
Ergonomic Advantage (EA) Line

Print article
Radcal

Channels

MRI

view channel
Image: PET/MRI can accurately classify prostate cancer patients (Photo courtesy of 123RF)

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more

Nuclear Medicine

view channel
Image: The new SPECT/CT technique demonstrated impressive biomarker identification (Journal of Nuclear Medicine: doi.org/10.2967/jnumed.123.267189)

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... 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.