The Role of Radiology in Enhancing Surgical Precision and Outcomes

Authors

  • Amirmasoud Farahani Science and Research Branch Islamic Azad University, Tehran Iran

DOI:

https://doi.org/10.54756/IJSAR.2024.16

Keywords:

Data Analysis, Medical Image, Surgery

Abstract

Advancements in imaging data analysis have profoundly impacted surgical practices, enhanced precision and improved patient outcomes. This review explores the diverse applications of imaging in surgery, including preoperative planning, intraoperative navigation, postoperative monitoring, and training simulations. Technologies such as CT, MRI, 3D reconstructions, augmented reality (AR), and artificial intelligence (AI) have enabled surgeons to perform more precise and safer interventions. Furthermore, integrating these technologies with surgical workflows has significantly reduced complications and enhanced recovery processes. Future trends, such as personalized surgical approaches and AI-driven imaging solutions, are also discussed, highlighting their potential to shape the future of surgery.

References

Abbasi H, Afrazeh F, Ghasemi Y, Ghasemi F. A Shallow Review of Artificial Intelligence Applications in Brain Disease: Stroke, Alzheimer's, and Aneurysm. International Journal of Applied Data Science in Engineering and Health. 2024 Oct 5;1(2):32-43.

Afrazeh F, Ghasemi Y, Shomalzadeh M, Rostamian S. The Role of Imaging Data from Different Radiologic Modalities During the Previous Global Pandemic. International Journal of Applied Data Science in Engineering and Health. 2024 Jul 27;1(1):9-17.

Akhoondinasab M, Shafaei Y, Rahmani A, Keshavarz H. A Machine Learning-Based Model for Breast Volume Prediction Using Preoperative Anthropometric Measurements. Aesthetic Plastic Surgery. 2024 Feb;48(3):243-9.

Allameh Z, Hajiahmadi S, Adibi A, Abadi ZE, Dehkordi SM. Diagnostic value of ultrasonography and MR in antenatal diagnosis of placenta accreta spectrum. Journal of Fetal Medicine. 2020 Dec;7(04):275-81.

Azagury DE, Dua MM, Barrese JC, Henderson JM, Buchs NC, Ris F, Cloyd JM, Martinie JB, Razzaque S, Nicolau S, Soler L. Image-guided surgery. Curr Probl Surg. 2015 Dec 1;52(12):476-520.

Blanco-Gonzalez A, Cabezon A, Seco-Gonzalez A, Conde-Torres D, Antelo-Riveiro P, Pineiro A, Garcia-Fandino R. The role of AI in drug discovery: challenges, opportunities, and strategies. Pharmaceuticals. 2023 Jun 18;16(6):891.

Deng J, Yang Z, Ojima I, Samaras D, Wang F. Artificial intelligence in drug discovery: applications and techniques. Briefings in Bioinformatics. 2022 Jan;23(1):bbab430.

Feuerriegel S, Frauen D, Melnychuk V, Schweisthal J, Hess K, Curth A, Bauer S, Kilbertus N, Kohane IS, van der Schaar M. Causal machine learning for predicting treatment outcomes. Nature Medicine. 2024 Apr;30(4):958-68.

Ganau M, Ligarotti GK, Apostolopoulos V. Real-time intraoperative ultrasound in brain surgery: neuronavigation and use of contrast-enhanced image fusion. Quantitative imaging in medicine and surgery. 2019 Mar;9(3):350.

Georgiadis M, Müller R, Schneider P. Techniques to assess bone ultrastructure organization: orientation and arrangement of mineralized collagen fibrils. Journal of the Royal Society Interface. 2016 Jun 30;13(119):20160088.

Grimson WE, Kikinis R, Jolesz FA, Black PM. Image-guided surgery. Scientific American. 1999 Jun 1;280(6):62-9.

Howe RD, Matsuoka Y. Robotics for surgery. Annual review of biomedical engineering. 1999 Aug;1(1):211-40.

Huang J, Shlobin NA, DeCuypere M, Lam SK. Deep learning for outcome prediction in neurosurgery: a systematic review of design, reporting, and reproducibility. Neurosurgery. 2022 Jan 1;90(1):16-38.

Jones AL, Cascino GD. Evidence on use of neuroimaging for surgical treatment of temporal lobe epilepsy: a systematic review. JAMA neurology. 2016 Apr 1;73(4):464-70.

Khalid S, Goldenberg M, Grantcharov T, Taati B, Rudzicz F. Evaluation of deep learning models for identifying surgical actions and measuring performance. JAMA network open. 2020 Mar 2;3(3):e201664-.

Kharaji M, Abbasi H, Orouskhani Y, Shomalzadeh M, Kazemi F, Orouskhani M. Brain Tumor Segmentation with Advanced nnU-Net: Pediatrics and Adults Tumors. Neuroscience Informatics. 2024 Feb 22:100156.

Kompaniez E, Abbey CK, Boone JM, Webster MA. Adaptation aftereffects in the perception of radiological images. PloS one. 2013 Oct 11;8(10):e76175.

Kukalakunta Y, Thunki P, Yellu RR. Deep Learning-Based Personalized Treatment Recommendations in Healthcare. Hong Kong Journal of AI and Medicine. 2024 May 1;4(1):30-9.

Mahmoudiandehkordi S, Yeganegi M, Shomalzadeh M, Ghasemi Y, Kalatehjari M. Enhancing IVF Success: Deep Learning for Accurate Day 3 and Day 5 Embryo Detection from Microscopic Images. International Journal of Applied Data Science in Engineering and Health. 2024 Aug 14;1(1):18-25.

Mathivanan SK, Sonaimuthu S, Murugesan S, Rajadurai H, Shivahare BD, Shah MA. Employing deep learning and transfer learning for accurate brain tumor detection. Scientific Reports. 2024 Mar 27;14(1):7232.

McCloy R, Stone R. Virtual reality in surgery. Bmj. 2001 Oct 20;323(7318):912-5.

Minoo S, Ghasemi F. A Narrative Review: Dental Radiology with Deep Learning. International Research in Medical and Health Sciences. 2024 Oct 25;7(5):23-36.

Morris MX, Rajesh A, Asaad M, Hassan A, Saadoun R, Butler CE. Deep learning applications in surgery: Current uses and future directions. The American Surgeon. 2023 Jan;89(1):36-42.

Nardone V, Marmorino F, Germani MM, Cichowska-Cwalińska N, Menditti VS, Gallo P, Studiale V, Taravella A, Landi M, Reginelli A, Cappabianca S. The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists. Current Oncology. 2024 Aug 27;31(9):4984-5007.

Norouzi F, Machado BL. Predicting Mental Health Outcomes: A Machine Learning Approach to Depression, Anxiety, and Stress. International Journal of Applied Data Science in Engineering and Health. 2024 Oct 31;1(2):98-104.

Onesti JK, Mangus BE, Helmer SD, Osland JS. Breast cancer tumor size: correlation between magnetic resonance imaging and pathology measurements. The American journal of surgery. 2008 Dec 1;196(6):844-50.

Orouskhani M, Zhu C, Rostamian S, Zadeh FS, Shafiei M, Orouskhani Y. Alzheimer's disease detection from structural MRI using conditional deep triplet network. Neuroscience Informatics. 2022 Dec 1;2(4):100066.

Rahmani A, Norouzi F, Machado BL, Ghasemi F. Psychiatric Neurosurgery with Advanced Imaging and Deep Brain Stimulation Techniques. International Research in Medical and Health Sciences. 2024 Nov 1;7(5):63-74.

Schreuder HW, Verheijen RH. Robotic surgery. BJOG: An International Journal of Obstetrics & Gynaecology. 2009 Jan;116(2):198-213.

Soler L, Nicolau S, Pessaux P, Mutter D, Marescaux J. Real-time 3D image reconstruction guidance in liver resection surgery. Hepatobiliary surgery and nutrition. 2014 Apr;3(2):73.

Stam WT, Goedknegt LK, Ingwersen EW, Schoonmade LJ, Bruns ER, Daams F. The prediction of surgical complications using artificial intelligence in patients undergoing major abdominal surgery: a systematic review. Surgery. 2022 Apr 1;171(4):1014-21.

Taher H, Grasso V, Tawfik S, Gumbs A. The challenges of deep learning in artificial intelligence and autonomous actions in surgery: a literature review. Artificial Intelligence Surgery. 2022 Sep 23;2(3):144-58.

Ting DS, Liu Y, Burlina P, Xu X, Bressler NM, Wong TY. AI for medical imaging goes deep. Nature medicine. 2018 May;24(5):539-40.

Zegers CM, Posch J, Traverso A, Eekers D, Postma AA, Backes W, Dekker A, van Elmpt W. Current applications of deep-learning in neuro-oncological MRI. Physica Medica. 2021 Mar 1;83:161-73.

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How to Cite

Amirmasoud Farahani. (2024). The Role of Radiology in Enhancing Surgical Precision and Outcomes. International Journal of Scientific and Applied Research (IJSAR), EISSN: 2583-0279, 4(9), 1–6. https://doi.org/10.54756/IJSAR.2024.16

Issue

Vol. 4 No. 9: IJSAR December-2024

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Articles

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Copyright (c) 2024 Amirmasoud Farahani

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.