Investigation of 3D Smart MRI in Surgical Efficiency and Planning

Abstract

<h3>Study Objective</h3> The overall purpose of this study is to determine the surgical outcomes and patient reported experience associated with completing a 3D Smart MRI prior to surgery as opposed to completing a conventional 2D MRI prior to surgery. <h3>Design</h3> This study is a prospective randomized trial comparing outcomes of uterine myomectomies as determined by the length of the case, quantitative blood loss and conversion rate to laparotomy when standard MRI abdomen and pelvis screening is performed pre-surgery (control) as opposed to 3D Smart MRI rendering of their specific anatomy adapted from the coronal, sagittal and axial 2D MRI imaging (intervention). <h3>Setting</h3> University Hospital Setting. <h3>Patients or Participants</h3> Pilot study population will consist of 20 female patients who will undergo a robot-assisted myomectomy with 10 patients receiving conventional pre-surgical 2D MRI and 10 patients receiving 3D Smart MRI. <h3>Interventions</h3> The primary objectives of this study are to compare the effects of conventional presurgical MRI and 3D Smart MRI use on the execution of uterine leiomyoma resection surgeries by evaluating operative times, conversion rates, and blood loss. A secondary objective is to compare patient satisfaction and perceived understanding of surgery between both arms during pre- and post-surgical counseling. A tertiary objective to compare provider perceived experience between both arms using a post-surgical questionnaire. <h3>Measurements and Main Results</h3> The first 20 patients will be considered as a pilot phase to determine if the use of Smart 3D MRI can measurably improve operative speed and decrease complications such as blood loss or conversion to a more invasive surgical opening. If the Smart 3D MRI group is similar to or better than the conventional pre-surgical MRI group with respect to the primary outcomes, the study will proceed to evaluate 90 patients in total (45 patients per MRI modality group). <h3>Conclusion</h3> To be finalized and presented at AAGL in December 2022