Document Type : Letter to Editor
Authors
1
Assistant Professor, Department of Surgery, School of Medicine، Shahid Sadoughi University of Medical Sciences، Yazd, Iran
2
MSc Medical Library and Information Sciences, Amin hospital, Isfahan University of Medical Sciences, Isfahan, Iran
3
Assistant Professor, Department of Surgery, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
Abstract
Background: Examining the tumor margin during surgery of breast cancer patients is very important to ensure the definitive removal of suspicious and high-risk cells with minimal damage to healthy tissues. Considering that breast cancer is the most common cancer of women in Iran and new oncoplastic surgeries by breast surgeons are increasing, scientists are also trying to find new methods to reduce surgery time (and thus anesthesia for the patient) and increase accuracy.
Methods: Margin evaluation during surgery is a time-consuming process. Frozen sectioning and sending the tissue to pathology during surgery (more than 50 minutes) and the low accuracy of margin assessment with a negative rate of 20-70% are the limitations of margin assessment by frozen sectioning during surgery. Border detection is done by inserting a needle into the border tissue and then by recording the information of electrochemical peaks in less than 40 seconds. In addition to the ability to examine the margins, it is also used to examine the axillary lymph nodes and make a decision on the surgery to cut the axillary lymph nodes.
Findings: The CDP detection mechanism is based on the simultaneous decomposition of released H2O2 molecules and the selective release of two electrons on the carbon nanotube coating on the sensor needles, which leads to the recording of the current peak in the display system.
Conclusion: Here, we introduce a system for examining margins and lymph nodes during surgery with the ability to detect their pathological conditions.
Highlights
Naeimeh Heiranizadeh: Google Scholar, PubMed
Maedeh Esmailzadeh: Google Scholar, PubMed
Masoumeh Safaee: Google Scholar, PubMed
Keywords
Main Subjects