Radiologists at Renowned Cancer Institute Employ Carestream’s Lesion Management Module in Research Efforts

Radiologist Reports This Tool Provides “Rapid, Standardized Segmentation and Analysis, and Could Improve the Consistency of Interpretations”

ROCHESTER, N.Y., Feb. 3 — Radiologists at the prestigious Dana-Farber Cancer Institute (Boston, Mass.) are using Carestream’s lesion management module with CARESTREAM Vue PACS to capture information about tumors and how they respond to treatment.  

Carestream Lesion Management“Carestream’s lesion management tool delivers excellent quantitative analysis of lesions, specifically volumetric data, which has the potential to overcome some of the limitations of standard one-dimensional measurement techniques. This tool also provides rapid, standardized segmentation and analysis, and could improve the consistency of interpretations,” said Michael Rosenthal, MD, PhD, Instructor of Radiology, Harvard Medical School Staff and Radiologist, Dana-Farber Cancer Institute.    

He adds that data is produced in seconds by simply drawing a line across the longest dimension of the tumor. This replaces manual techniques that can require 45 minutes to analyze a single tumor.

“Certainly the time savings is important, but what’s even more valuable is the ability to deliver consistent, repeatable measurements for each tumor,” Dr. Rosenthal notes. “I see tremendous potential for this technology in evaluating tumors in oncology patients.”

Carestream’s lesion management module is an embedded native application that does not require a dedicated workstation and significantly enhances assessment of oncology patients. It accepts prior exam results as baseline images from other suppliers’ PACS platforms and from numerous modalities; boosts radiologist productivity by simplifying segmentation and analysis; provides volumetric data and simplifies the comparison process between different data sets; supports oncology follow-up with bookmarking and tracking of general anatomy over time and eliminates the cost of dedicated workstations.