Meme Koruyucu Cerrahide Yapay Zeka Destekli Ultrasonografi Kullanımı ile Gerçekleştirilen Pektoral Sinir Bloğu

Özet

Klinisyenler tarafından rejyonel anestezide ultrasonografi (USG) yaygın olarak kullanılmaktadır. Ancak, anatomik varyasyonlar, uygulayıcının tecrübesi, blok bölgesine yakın damar, sinir ve plevra yerleşimi ile USG görüntü kalitesi gibi faktörler ilgili problemlere yol açabilir.
Yapay zekanın derin öğrenme algoritmaları tıbbi görüntüleme yöntemlerinde aktif olarak kullanılmaya başlanmıştır. Gelişen USG cihaz ve probları ile rejyonel anestezide başlıca görüntüleme cihazlarına entegre bu yazılımların kullanımı önümüzdeki yıllarda giderek yaygınlaşması kuvvetle muhtemeldir. Bu olguda ise meme koruyucu cerrahi (MKC) geçiren kadın hastaya yapay zeka destekli USG kullanılarak preoperatif anestezi amacıyla gerçekleştirilen pektoral sinir blokları başarıyla tek seferde uygulandı. Hastada herhangi bir komplikasyon gelişmedi. Periferik sinir bloklarında yapay zeka destekli USG kullanımı blok başarısını arttırırken, girişim süresini, sayısını, komplikasyon oranlarını azaltabilir.

Referanslar

Kadam SS, Tripathi P, Jagtap R, et al. Modified Radical Mastectomy vs Breast-Conserving Surgery: Current Clinical Practice in Women with Early Stage Breast Cancer at a Corporate Tertiary Cancer Center in India. Indian J Surg Oncol. 2022;13(2):322-328.

Yu L, Cui X, Song P, et al. Perioperative pectoral nerve block type II and postoperative recurrence in breast cancer: a randomized controlled trial. BMC Surg. 2022;22(1):1-8.

Bin Ghali K, AlKharraz N, Almisnid O, et al. The Pectoral (PECS) Regional Block: A Scoping Review. Cureus. 2023 Oct 6;15(10):e46594.

Uribe AA, Weaver TE, Echeverria-Villalobos M, et al. Efficacy of PECS block in addition to multimodal analgesia for postoperative pain management in patients undergoing outpatient elective breast surgery: A retrospective study. Front Med (Lausanne). 2022 Aug 15;9:975080.

Blanco R, Fajardo M, Parras Maldonado T. Ultrasound description of Pecs II (modified Pecs I): a novel approach to breast surgery. Rev Esp Anestesiol Reanim. 2012 Nov;59(9):470-475.

Szamborski M, Janc J, Rosińczuk J, et al. Use of Ultrasound-Guided Interfascial Plane Blocks in Anterior and Lateral Thoracic Wall Region as Safe Method for Patient Anesthesia and Analgesia: Review of Techniques and Approaches during COVID-19 Pandemic. Int J Environ Res Public Health. 2022 Jul 17;19(14):8696.

Chan M, Cárdenas-Peña D, Viderman D. Artificial intelligence in ultrasound-guided regional anesthesia: A scoping review.

Sites BD, Chan VW, Neal JM, et al. The American Society of Regional Anesthesia and Pain Medicine and the European Society of Regional Anaesthesia and Pain Therapy joint committee recommendations for education and training in ultrasound-guided regional anesthesia. Reg Anesth Pain Med. 2009 Jan;34(1):40–46.

Barrington MJ, Uda Y. Did ultrasound fulfill the promise of safety in regional anesthesia? Vol. 31, Current Opinion in Anaesthesiology. Lippincott Williams and Wilkins; 2018. p. 649–655.

Sites BD, Antonakakis JG. Ultrasound guidance in regional anesthesia: state of the art review through challenging clinical scenarios. 2009.

Karmakar A, Khan MJ, Abdul-Rahman MEF, et al. The Advances and Utility of Artificial Intelligence and Robotics in Regional Anesthesia: An Overview of Recent Developments. Cureus. 2023 Aug 29;

Park SH. Artificial intelligence for ultrasonography: Unique opportunities and challenges. Vol. 40, Ultrasonography. Korean Society of Ultrasound in Medicine; 2021. p. 3–6.

Gungor I, Gunaydin B, Oktar SO, et al. A real-time anatomy ıdentification via tool based on artificial ıntelligence for ultrasound-guided peripheral nerve block procedures: an accuracy study. J Anesth. 2021 Aug 1;35(4):591–594.

Amisha, Malik P, Pathania M, et al. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8(7):2328.

Bowness J, El-Boghdadly K, Burckett-St Laurent D. Artificial intelligence for image interpretation in ultrasound-guided regional anaesthesia. Anaesthesia. 2020;

Koscielniak-Nielsen ZJ, Rasmussen H, Hesselbjerg L et al. Infraclavicular block causes less discomfort than axillary block in ambulatory patients. Acta Anaesthesiol Scand. 2005 Aug;49(7):1030–1034.

Kåsine T, Romundstad L, Rosseland LA, et al. Needle tip tracking for ultrasound-guided peripheral nerve block procedures—An observer blinded, randomised, controlled, crossover study on a phantom model. Acta Anaesthesiol Scand. 2019;63(8):1055–1062.

Balavenkatasubramanian J, Kumar S, Sanjayan RD. Artificial intelligence in regional anaesthesia. Indian J Anaesth. 2024 Jan;68(1):100-104.

Viderman D, Dossov M, Seitenov S, et al. Artificial intelligence in ultrasound-guided regional anesthesia: A scoping review. Front Med (Lausanne). 2022 Oct 25;9:994805.

Connor CW. Artificial Intelligence and Machine Learning in Anesthesiology. Anesthesiology. 2019 Dec;131(6):1346-1359.

Mika S, Gola W, Gil-Mika M, et al. Artificial Intelligence-Supported Ultrasonography in Anesthesiology: Evaluation of a Patient in the Operating Theatre. Journal of Personalized Medicine. 2024; 14(3):310.

Referanslar

Kadam SS, Tripathi P, Jagtap R, et al. Modified Radical Mastectomy vs Breast-Conserving Surgery: Current Clinical Practice in Women with Early Stage Breast Cancer at a Corporate Tertiary Cancer Center in India. Indian J Surg Oncol. 2022;13(2):322-328.

Yu L, Cui X, Song P, et al. Perioperative pectoral nerve block type II and postoperative recurrence in breast cancer: a randomized controlled trial. BMC Surg. 2022;22(1):1-8.

Bin Ghali K, AlKharraz N, Almisnid O, et al. The Pectoral (PECS) Regional Block: A Scoping Review. Cureus. 2023 Oct 6;15(10):e46594.

Uribe AA, Weaver TE, Echeverria-Villalobos M, et al. Efficacy of PECS block in addition to multimodal analgesia for postoperative pain management in patients undergoing outpatient elective breast surgery: A retrospective study. Front Med (Lausanne). 2022 Aug 15;9:975080.

Blanco R, Fajardo M, Parras Maldonado T. Ultrasound description of Pecs II (modified Pecs I): a novel approach to breast surgery. Rev Esp Anestesiol Reanim. 2012 Nov;59(9):470-475.

Szamborski M, Janc J, Rosińczuk J, et al. Use of Ultrasound-Guided Interfascial Plane Blocks in Anterior and Lateral Thoracic Wall Region as Safe Method for Patient Anesthesia and Analgesia: Review of Techniques and Approaches during COVID-19 Pandemic. Int J Environ Res Public Health. 2022 Jul 17;19(14):8696.

Chan M, Cárdenas-Peña D, Viderman D. Artificial intelligence in ultrasound-guided regional anesthesia: A scoping review.

Sites BD, Chan VW, Neal JM, et al. The American Society of Regional Anesthesia and Pain Medicine and the European Society of Regional Anaesthesia and Pain Therapy joint committee recommendations for education and training in ultrasound-guided regional anesthesia. Reg Anesth Pain Med. 2009 Jan;34(1):40–46.

Barrington MJ, Uda Y. Did ultrasound fulfill the promise of safety in regional anesthesia? Vol. 31, Current Opinion in Anaesthesiology. Lippincott Williams and Wilkins; 2018. p. 649–655.

Sites BD, Antonakakis JG. Ultrasound guidance in regional anesthesia: state of the art review through challenging clinical scenarios. 2009.

Karmakar A, Khan MJ, Abdul-Rahman MEF, et al. The Advances and Utility of Artificial Intelligence and Robotics in Regional Anesthesia: An Overview of Recent Developments. Cureus. 2023 Aug 29;

Park SH. Artificial intelligence for ultrasonography: Unique opportunities and challenges. Vol. 40, Ultrasonography. Korean Society of Ultrasound in Medicine; 2021. p. 3–6.

Gungor I, Gunaydin B, Oktar SO, et al. A real-time anatomy ıdentification via tool based on artificial ıntelligence for ultrasound-guided peripheral nerve block procedures: an accuracy study. J Anesth. 2021 Aug 1;35(4):591–594.

Amisha, Malik P, Pathania M, et al. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8(7):2328.

Bowness J, El-Boghdadly K, Burckett-St Laurent D. Artificial intelligence for image interpretation in ultrasound-guided regional anaesthesia. Anaesthesia. 2020;

Koscielniak-Nielsen ZJ, Rasmussen H, Hesselbjerg L et al. Infraclavicular block causes less discomfort than axillary block in ambulatory patients. Acta Anaesthesiol Scand. 2005 Aug;49(7):1030–1034.

Kåsine T, Romundstad L, Rosseland LA, et al. Needle tip tracking for ultrasound-guided peripheral nerve block procedures—An observer blinded, randomised, controlled, crossover study on a phantom model. Acta Anaesthesiol Scand. 2019;63(8):1055–1062.

Balavenkatasubramanian J, Kumar S, Sanjayan RD. Artificial intelligence in regional anaesthesia. Indian J Anaesth. 2024 Jan;68(1):100-104.

Viderman D, Dossov M, Seitenov S, et al. Artificial intelligence in ultrasound-guided regional anesthesia: A scoping review. Front Med (Lausanne). 2022 Oct 25;9:994805.

Connor CW. Artificial Intelligence and Machine Learning in Anesthesiology. Anesthesiology. 2019 Dec;131(6):1346-1359.

Mika S, Gola W, Gil-Mika M, et al. Artificial Intelligence-Supported Ultrasonography in Anesthesiology: Evaluation of a Patient in the Operating Theatre. Journal of Personalized Medicine. 2024; 14(3):310.

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10 Ocak 2025

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