Evaluation of the effectiveness of artificial intelligence for ultrasound guided peripheral nerve and plane blocks in recognizing anatomical structures.

BACKGROUND: We aimed to assess the accuracy of artificial intelligence (AI) based real-time anatomy identification for ultrasound-guided peripheral nerve and plane block in eight regions in this prospective observational study. METHODS: After obtaining ethics committee approval and written informed consent from 40 healthy volunteers (20 men and 20 women, between 18 and 72 years old), an ultrasound device installed with AI software (Nerveblox, SmartAlfa, Turkey) were used to scan regions of the cervical plexus, brachial plexus, pectoralis (PECS), rectus sheet, femoralis, canalis adductorius, popliteal, and ESP by three anesthesiology trainees. During scanning by a trainee, once software indicates 100 % scan success of associated anatomic landmarks, both raw and labeled ultrasound images were saved, assessed, and validated using a 6-point scale between 0 and 5 by two expert validators. Evaluation scores of the validators for each block were compared according to demographics (gender, age, and BMI) and block type exists. RESULTS: The scores were not different except ESP, femoralis, and cervical plexus regions between the experts. The mean scores of the experts for the PECS, popliteal and rectus sheath were significant between males and females (p < 0.05). In terms of BMI, significant differences in the scores were observed only in the canalis adductorius, brachial plexus, and ESP regions (p < 0.05). CONCLUSIONS: Ultrasound guided AI-based anatomy identification was performed in commonly used eight block regions by the trainees where AI technology can successfully interpret the anatomical structures in real-time sonography which would be valuable in assisting anesthesiologists.

A real-time anatomy identification via tool based on artificial intelligence for ultrasound-guided peripheral nerve block procedures: an accuracy study.

We aimed to assess the accuracy of an artificial intelligence (AI)-based real-time anatomy identification software specifically developed to ease image interpretation intended for ultrasound-guided peripheral nerve block (UGPNB). Forty healthy participants (20 women, 20 men) were enrolled to perform interscalene, supraclavicular, infraclavicular, and transversus abdominis plane (TAP) blocks under ultrasound guidance using AI software by anesthesiology trainees. During block practice by a trainee, once the software indicates 100% scan success of each block associated anatomic landmarks, both raw and labeled ultrasound images were saved, assessed, and validated using a 5-point scale by expert validators. When trainees reached 100% scan success, accuracy scores of the validators were noted. Correlation analysis was used whether the relationship (r) according to demographics (gender, age, and body mass index: BMI) and block type exist. The BMI (kg/m2) and age (year) of participants were 22.2 ± 3 and 32.2 ± 5.25, respectively. Assessment scores of validators for all blocks were similar in male and female individuals. Mean assessment scores of validators were not significantly different according to age and BMI except for TAP block, which was inversely correlated with age and BMI (p = 0.01). AI technology can successfully interpret anatomical structures in real-time sonography while assisting young anesthesiologists during UGPNB practice.

Postoperative Acute Parotitis After Cesarean Delivery Under Spinal Anaesthesia.

Postoperative acute painless parotid gland swelling, which is a rare complication has been reported after caesarian section (CS) under neuraxial anaesthesia. Hereby, we aimed to present a parturient suffering from acute parotitis complication for her elective CS under spinal anaesthesia who had a previous history of acute parotitis after epidural anaesthesia.

Retrospective Evaluation of Effects of Preoperative Anaemia Treatment in Gynaecological and Obstetric Surgical Patients.

OBJECTIVE: In anemic patients undergoing surgery, there is an increase in the requirement of blood transfusion, longer hospital stay and higher intensive care unit adimission. In this study we aimed to evaluate the efficacy of iv iron treatment before elective obstetric or gynecological operations retrospectively. METHODS: After obtaining approval of ethics committee, records of 5688 patients underwent either obstetric or gynecological surgery between January 1st of 2016 to December 31st of 2018 were documented retrospectively and 241 anemic cases were identified. Eighty-one anemic patients who did not receive any iv iron treatment preoperatively were excluded and 160 cases treated with either iv iron (either sucrose or ferric carboxy maltose) were included. The laboratory results including haemoglobin (Hb), MCV,MCH and serum iron binding capacities, ferritin, iron and transferrin levels were documented before (preoperative) and after iv iron treatment (postoperative 10th day) were collected from files. Difference between preoperative and postoperative Hb, MCV, MCH, TIBC, serum ferritin, iron and transferrin levels of these cases were determined. RESULTS: In 97 obstetric cases, the differences of Hb, MCV, MCH, serum iron, ferritin, iron binding capacity values before surgery and postoperative 10th day were respectively found as 1.3 g dL-1 (p=0.000); 1.9 fL (p=0.000); 0.3 pg (p=0.01); 44.4 µg dL-1 (p=0.008); 85.9 µg L-1 (p=0.009); 211.7 µg dL-1 (p=0.001). In 63 gynecologic cases, same measurements were evaluated and similar differences in Hb, MCV, MCH, serum ferritin and transferrin saturation values were 1.25 g dL-1 (p=0.000); 2.2 fL (p=0.000); 0.8 pg (p=0.000); 215.6 µg L-1 (p=0.002); 41.5% (p=0.044). Two obstetric patients and 7 gynaecologic patients were transfused erytrocyte suspensions after surgery. CONCLUSION: Efficacy of preoperative iv iron therapy in gynaecologic-obstetric patients with IDA has been demonstrated and its importance has been revisited once again.