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Relevance of Computer-Aided Detection (CAD) and Image Analysis Software in Colon Cancer Screening
Saturday, 13 December 2008 06:31 | 
| Radiology News - Computed Tomography (CT) |
CAD increases the sensitivity of readers in the detection of colorectal cancers
Computer-Aided Detection (CAD) and medical image analysis software declared clinical results from the new study which has proved that CAD increases the sensitivity of readers in the detection of colorectal cancers in multi-row detector CT (MDCT) colonography (CTC). This data presented at the Annual Meeting of Radiological Society of North America (RSNA) on December 5, 2008 in Chicago, IL, USA.
Medicsight PLC is an industry leader in the development of enterprise-wide computer-aided detection (CAD) software for use by the medical imaging community to aid in earlier detection of disease. It has submitted application for the clearance of its product, ColonCAD(TM) to the Food and Drug Administration.
According to David Sumner, the Chief Executive Officer of Medicsight PLC, "ColonCAD is fast becoming one of the most clinically validated software applications in medical imaging today."
Computer assisted detection (CAD) is a procedure in medical science that supports the doctors interpretations and findings. Around 60 patients were previously diagnosed with colorectal cancers, four radiologists (two expert and two non-expert radiologists) reviewed patient’s data by using CAD and without using. The result showed CAD increased the sensitivity of expert readers from 80% to 93% and 97%, and from 73% and 67% to 90% is the sensitivity of non-expert readers.
The study benefits increased sensitivity of both expert and non expert readers and it makes very simple to understand. And it could show CT-Colonography had comparable effectiveness to optical colonoscopy in detecting colonic polyps or cancers of 10mm and larger.
Source: Medicsight PLC
Medicsight PLC is an industry leader in the development of enterprise-wide computer-aided detection (CAD) software for use by the medical imaging community to aid in earlier detection of disease. It has submitted application for the clearance of its product, ColonCAD(TM) to the Food and Drug Administration.
According to David Sumner, the Chief Executive Officer of Medicsight PLC, "ColonCAD is fast becoming one of the most clinically validated software applications in medical imaging today."
Computer assisted detection (CAD) is a procedure in medical science that supports the doctors interpretations and findings. Around 60 patients were previously diagnosed with colorectal cancers, four radiologists (two expert and two non-expert radiologists) reviewed patient’s data by using CAD and without using. The result showed CAD increased the sensitivity of expert readers from 80% to 93% and 97%, and from 73% and 67% to 90% is the sensitivity of non-expert readers.
The study benefits increased sensitivity of both expert and non expert readers and it makes very simple to understand. And it could show CT-Colonography had comparable effectiveness to optical colonoscopy in detecting colonic polyps or cancers of 10mm and larger.
Source: Medicsight PLC
