Perioperative management of patient with intracoronary stent presenting for noncardiac surgery

Artificial Intelligence and Neurosurgery: Tracking Antiplatelet Response Patterns for Endovascular Intervention

Platelets play a critical role in blood clotting and the development of arterial blockages. Antiplatelet therapy is vital for preventing recurring events in conditions like coronary artery disease and strokes. However, there is a lack of comprehensive guidelines for using antiplatelet agents in elective neurosurgery. Continuing therapy during surgery poses a bleeding risk, while discontinuing it before surgery increases the risk of thrombosis. Discontinuation is recommended in neurosurgical settings but carries an elevated risk of ischemic events. Conversely, maintaining antithrombotic therapy may increase bleeding and the need for transfusions, leading to a poor prognosis. Artificial intelligence (AI) holds promise in making difficult decisions regarding antiplatelet therapy. This paper discusses current clinical guidelines and supported regimens for antiplatelet therapy in neurosurgery. It also explores methodologies like P2Y12 reaction units (PRU) monitoring and thromboelastography (TEG) mapping for monitoring the use of antiplatelet regimens as well as their limitations. The paper explores the potential of AI to overcome such limitations associated with PRU monitoring and TEG mapping. It highlights various studies in the field of cardiovascular and neuroendovascular surgery which use AI prediction models to forecast adverse outcomes such as ischemia and bleeding, offering assistance in decision-making for antiplatelet therapy. In addition, the use of AI to improve patient adherence to antiplatelet regimens is also considered. Overall, this research aims to provide insights into the use of antiplatelet therapy and the role of AI in optimizing treatment plans in neurosurgical settings.

Automatic bifurcation detection utilizing pullback characteristics of bifurcation in intravascular optical coherence tomography

Bifurcation detection in coronary arteries is significant since it influences the treatment strategy selection and optimization. Bifurcations are also reliable landmarks for image registration. Intravascular optical coherence tomography (IVOCT) is a high-resolution imaging modality that is very useful in percutaneous coronary intervention stenting optimization. We present a bifurcation identification method utilizing pullback characteristics for IVOCT, which can effectively identify the bifurcations with a small size. The longitudinal view of the pullback will appear as an outward discontinuity in the bifurcation area. By detecting this discontinuity, bifurcation can be identified with high accuracy. We also use the normal vectors method to extract the ostium of bifurcation. We compare the proposed method with the widely-used distance transformation method by clinical 5302 IVOCT images from 22 pullbacks. The average metrics of true positive rate (TPR), true negative rate (TNR), positive predictive value (PPV), and negative predictive value (NPV) for the proposed method are 86.97%, 98.50%, 85.56%, and 98.67%, respectively. TPR, PPV, and NPV by the proposed method are improved by 40.24%, 9.31%, 3.90%, and TNR is on par compared with the distance transformation method. Especially in the small bifurcation identification, TPR of the proposed method is 64.71% higher than the distance transformation method with a bifurcation area ratio less than 0.2.

[Perioperative Antiplatelet Therapy in Patients with Coronary Stents Undergoing Elective Non-Cardiac Surgery]

Among patients undergoing elective non-cardiac surgery (NCS), those with coronary stent implants are gradually becoming a patient group that cannot be easily overlooked. Previous history of heart disease, coronary stents and antiplatelet agents expose these patients to dual perioperative risks of thrombosis and bleeding. Formulating appropriate plans for perioperative antiplatelet therapy will help reduce the risks and ensure the safety of patients. We herein reviewed and analyzed various aspects of perioperative antiplatelet therapy for patients with coronary stent implants undergoing elective NCS, and discussed prospective research directions in the field.

Eversion endarterectomy under full prasugrel treatment

The third-generation thienopyridine prasugrel has much stronger antiplatelet effect compared to other current antiplatelet inhibitors and exhibits practically zero resistance in healthy people. Prasugrel is used as a pre- and post-treatment in percutaneous coronary or neurovascular interventions with parallel aspirin regime. However, as there is a higher reported bleeding with intraluminal interventions and meticulous technique is recommended, there is nearly non-existent international experience of open surgery under full prasugrel treatment. We present, herein, a case of open carotid endarterectomy with the eversion technique in an asymptomatic patient with carotid stenosis, who was receiving dual antiplatelet therapy with aspirin and prasugrel, due to a previous insertion of two newer drug-eluting stents at the left anterior descending artery and the right coronary artery. The resistance test to prasugrel showed complete inhibition of platelet function. Open surgery was performed under continuation of prasugrel treatment and interruption of aspirin for 3 days before surgery. No perioperative and postoperative neurologic or cardiologic event occurred. No bleeding at the cervical or cerebral area was noted.