VANCOUVER – and that can help ensure that a patient gets to the right surgeon.
Researchers retrospectively collected data from ultrasounds, using it to create an ASRM stage, and compared the results with the stage seen at surgery. “We’re very good at telling people what they should expect at surgery,” said Mathew Leonardi, MD, who is a gynecologist at the University of Sydney’s Nepean Hospital.
The researchers conducted the study because of perceived mistrust among surgeons when it comes to presurgical imaging. “There is still a lot of cynicism and a lot of hesitancy to adopt this,” Dr. Leonardi said at the meeting sponsored by AAGL. He was unapologetic about the activist nature of the research. “We thought, what better way [to convince surgeons] than to produce an ultrasound-based ASRM scoring system to then match to the surgical findings, because if we can predict the ASRM score preoperatively, there may be more buy-in by the surgeons for the value of imaging.”
He noted that surgeons differ in their training, so getting the patient to the right surgeon is critical. “If you go to a gynecologist who is not minimally invasive trained, you may [end up with] an abandoned surgery, or an incomplete surgical excision leading to residual disease. So being able to predict the severity of the disease preoperatively, you can allow the patient to get to the right surgeon with the right team members.”
The analysis included 204 procedures performed between January 2016 and April 2018. Participants underwent deep endometriosis transvaginal ultrasound at one of two tertiary referral service centers, and laparoscopy by surgeons in the Sydney metropolitan area. Each case was received as a ASRM score of 0-4 at both ultrasound and surgery, and scores of 0-2 and 3-4 were grouped together for analysis.
“We grouped patients that have ASRM 3-4 into one group and those who have less than that [into another group], because clinically that seems to be where the most practical divide is,” said Dr. Leonardi.
It was difficult to differentiate individual ASRM stages from one another using ultrasound, but the technique performed much better in the combined analysis. In assigning a patient to the ASRM stage 0-2 endometriosis group, it had 94.9% sensitivity and 93.8% specificity, and for assigning to ASRM stage 3-4, it had values of 93.8% and 94.9%, respectively.
The success is encouraging, but there is more work to be done. “We are going to have to differentiate those with early-stage endometriosis or stage 1-2, and those that are negative. We are working on being able to identify superficial endometriosis noninvasively, but for now, as a triaging tool ultrasound can get the patient to the right surgeon,” Dr. Leonardi said.
Dr. Leonardi reported no relevant financial disclosures