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TeQ Publications

A list of recent publications by the TeQ Group.

Overview:

 

Digital surgery

Artificial Intelligence

  • Layard Horsfall H, Loh RTS, Venkatesh A, et al. Reported baseline variables in transsphenoidal surgery for pituitary adenoma over a 30 year period: a systematic review. Pituitary. 2023;26(6):645-652. doi:10.1007/s11102-023-01357-w
  • Layard Horsfall H, Lawrence A, Venkatesh A, et al. Reported outcomes in transsphenoidal surgery for pituitary adenomas: a systematic review. Pituitary. 2023;26(2):171-181. doi:10.1007/s11102-023-01303-w
  • Planells H, Parmar V, Marcus HJ, Pandit AS. From theory to practice: what is the potential of artificial intelligence in the future of neurosurgery?. Expert Rev Neurother. 2023;23(12):1041-1046. doi:10.1080/14737175.2023.2285432
  • Williams SC, Marcus HJ. Editorial: Investigations into the potential benefits of artificial intelligence and deep learning to surgical oncologists. Front Oncol. 2023;13:1243305. Published 2023 Jul 11. doi:10.3389/fonc.2023.1243305
  • CRANIAL Consortium. Machine learning driven prediction of cerebrospinal fluid rhinorrhoea following endonasal skull base surgery: A multicentre prospective observational study. Front Oncol. 2023;13:1046519. Published 2023 Mar 23. doi:10.3389/fonc.2023.1046519
  • Zhou J, Muirhead W, Williams SC, Stoyanov D, Marcus HJ, Mazomenos EB. Shifted-windows transformers for the detection of cerebral aneurysms in microsurgery. Int J Comput Assist Radiol Surg. 2023;18(6):1033-1041. doi:10.1007/s11548-023-02871-9
  • Koh CH, Khan DZ, Digpal R, et al. The clinical outcomes of imaging modalities for surgical management Cushing's disease - A systematic review and meta-analysis. Front Endocrinol (Lausanne). 2023;13:1090144. Published 2023 Jan 13. doi:10.3389/fendo.2022.1090144
  • CRANIAL Consortium. CSF rhinorrhoea after endonasal intervention to the skull base (CRANIAL): A multicentre prospective observational study. Front Oncol. 2023;12:1049627. Published 2023 Jan 4. doi:10.3389/fonc.2022.1049627
  • Karvandi E, Hanrahan JG, Khan DZ, et al. A patient-reported outcome measure for patients with pituitary adenoma undergoing transsphenoidal surgery. Pituitary. 2022;25(4):673-683. doi:10.1007/s11102-022-01251-x
  • Hanrahan JG, Khan DZ, Marcus HJ. Addressing the reporting chasm of artificial intelligence research: the DECIDE-AI reporting guidelines. BMJ Surg Interv Health Technol. 2022;4(1):e000154. Published 2022 Jul 29. doi:10.1136/bmjsit-2022-000154
  • Marcus HJ, Khan DZ, Borg A, et al. Pituitary society expert Delphi consensus: operative workflow in endoscopic transsphenoidal pituitary adenoma resection. Pituitary. 2021;24(6):839-853. doi:10.1007/s11102-021-01162-3
  • Khan DZ, Ali AMS, Koh CH, et al. Skull base repair following endonasal pituitary and skull base tumour resection: a systematic review. Pituitary. 2021;24(5):698-713. doi:10.1007/s11102-021-01145-4
  • CRANIAL Consortium. CSF Rhinorrhoea After Endonasal Intervention to the Skull Base (CRANIAL) - Part 1: Multicenter Pilot Study. World Neurosurg. 2021;149:e1077-e1089. doi:10.1016/j.wneu.2020.12.171
  • CRANIAL Consortium. CSF Rhinorrhea After Endonasal Intervention to the Skull Base (CRANIAL) - Part 2: Impact of COVID-19. World Neurosurg. 2021;149:e1090-e1097. doi:10.1016/j.wneu.2020.12.169
  • Layard Horsfall H, Khan DZ, Collins J, et al. Generating Operative Workflows for Vestibular Schwannoma Resection: A Two-Stage Delphi's Consensus in Collaboration with the British Skull Base Society. Part 1: The Retrosigmoid Approach. J Neurol Surg B Skull Base. 2022;84(5):423-432. Published 2022 Oct 10. doi:10.1055/a-1886-5500
  • Horsfall HL, Khan DZ, Collins J, et al. Generating Operative Workflows for Vestibular Schwannoma Resection: A Two-Stage Delphi's Consensus in Collaboration with the British Skull Base Society. Part 2: The Translabyrinthine Approach. J Neurol Surg B Skull Base. 2022;84(5):433-443. Published 2022 Oct 10. doi:10.1055/s-0042-1755578
  • Funnell JP, Noor K, Khan DZ, et al. Characterization of patients with idiopathic normal pressure hydrocephalus using natural language processing within an electronic healthcare record system. J Neurosurg. Published online November 18, 2022. doi:10.3171/2022.9.JNS221095
  • Pandit AS, Khan DZ, Hanrahan JG, et al. Historical and future trends in emergency pituitary referrals: a machine learning analysis. Pituitary. 2022;25(6):927-937. doi:10.1007/s11102-022-01269-1
  • Das A, Bano S, Vasconcelos F, Khan DZ, Marcus HJ, Stoyanov D. Reducing prediction volatility in the surgical workflow recognition of endoscopic pituitary surgery. Int J Comput Assist Radiol Surg. 2022;17(8):1445-1452. doi:10.1007/s11548-022-02599-y
  • Layard Horsfall H, Palmisciano P, Khan DZ, et al. Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey. World Neurosurg. 2021;146:e724-e730. doi:10.1016/j.wneu.2020.10.171
  • Khan DZ, Luengo I, Barbarisi S, et al. Automated operative workflow analysis of endoscopic pituitary surgery using machine learning: development and preclinical evaluation (IDEAL stage 0). J Neurosurg. Published online November 5, 2021. doi:10.3171/2021.6.JNS21923
  • Williams S, Layard Horsfall H, Funnell JP, et al. Artificial Intelligence in Brain Tumour Surgery-An Emerging Paradigm. Cancers (Basel). 2021;13(19):5010. Published 2021 Oct 7. doi:10.3390/cancers13195010
  • Palmisciano P, Jamjoom AAB, Taylor D, Stoyanov D, Marcus HJ. Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery. World Neurosurg. 2020;138:e627-e633. doi:10.1016/j.wneu.2020.03.029
  • Khan DZ, Bandyopadhyay S, Patel V, et al. CSF rhinorrhoea after endonasal intervention to the anterior skull base (CRANIAL): proposal for a prospective multicentre observational cohort study. Br J Neurosurg. 2021;35(4):408-417. doi:10.1080/02688697.2020.1795622

Robotics

  • Marcus HJ, Ramirez PT, Khan DZ, et al. The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring. Nat Med. 2024;30(1):61-75. doi:10.1038/s41591-023-02732-7
  • Marcus HJ, Bennett A, Chari A, et al. IDEAL-D Framework for Device Innovation: A Consensus Statement on the Preclinical Stage. Ann Surg. 2022;275(1):73-79. doi:10.1097/SLA.0000000000004907
  • Dimitrakakis E, Aylmore H, Lindenroth L, et al. Robotic Handle Prototypes for Endoscopic Endonasal Skull Base Surgery: Pre-clinical Randomised Controlled Trial of Performance and Ergonomics. Ann Biomed Eng. 2022;50(5):549-563. doi:10.1007/s10439-022-02942-z
  • Dimitrakakis E, Lindenroth L, Dwyer G, et al. An intuitive surgical handle design for robotic neurosurgery. Int J Comput Assist Radiol Surg. 2021;16(7):1131-1139. doi:10.1007/s11548-021-02402-4
  • Jamjoom AAB, Jamjoom AMA, Thomas JP, et al. Autonomous surgical robotic systems and the liability dilemma. Front Surg. 2022;9:1015367. Published 2022 Sep 16. doi:10.3389/fsurg.2022.1015367
  • Vasey B, Lippert KAN, Khan DZ, et al. Intraoperative Applications of Artificial Intelligence in Robotic Surgery: A Scoping Review of Current Development Stages and Levels of Autonomy. Ann Surg. 2023;278(6):896-903. doi:10.1097/SLA.0000000000005700
  • Aylmore H, Dimitrakakis E, Carmichael J, et al. Specialised Surgical Instruments for Endoscopic and Endoscope-Assisted Neurosurgery: A Systematic Review of Safety, Efficacy and Usability. Cancers (Basel). 2022;14(12):2931. Published 2022 Jun 14. doi:10.3390/cancers14122931

 

Surgical Training

  • Xu J, Anastasiou D, Booker J, et al. A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove. Sensors (Basel). 2023;23(21):8947. Published 2023 Nov 3. doi:10.3390/s23218947
  • Williams SC, Ahmed R, Davids JD, et al. Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score. World Neurosurg X. 2023;20:100230. Published 2023 Jun 24. doi:10.1016/j.wnsx.2023.100230
  • Ahmed R, Muirhead W, Williams SC, et al. A synthetic model simulator for intracranial aneurysm clipping: validation of the UpSurgeOn AneurysmBox. Front Surg. 2023;10:1185516. Published 2023 May 31. doi:10.3389/fsurg.2023.1185516
  • Pandit AS, Reka A, Layard Horsfall H, Marcus HJ. Mindfulness Training for Young Neurosurgeons: A Virtual Multicenter Prospective Pilot Study. World Neurosurg. 2022;164:e446-e457. doi:10.1016/j.wneu.2022.04.128
  • Layard Horsfall H, Salvadores Fernandez C, Bagchi B, et al. A Sensorised Surgical Glove to Analyze Forces During Neurosurgery. Neurosurgery. 2023;92(3):639-646. doi:10.1227/neu.0000000000002239
  • Newall N, Khan DZ, Hanrahan JG, et al. High fidelity simulation of the endoscopic transsphenoidal approach: Validation of the UpSurgeOn TNS Box. Front Surg. 2022;9:1049685. Published 2022 Dec 6. doi:10.3389/fsurg.2022.1049685
  • Muirhead WR, Layard Horsfall H, Khan DZ, et al. Microsurgery for intracranial aneurysms: A qualitative survey on technical challenges and technological solutions. Front Surg. 2022;9:957450. Published 2022 Aug 4. doi:10.3389/fsurg.2022.957450
  • Golahmadi AK, Khan DZ, Mylonas GP, Marcus HJ. Tool-tissue forces in surgery: A systematic review. Ann Med Surg (Lond). 2021;65:102268. Published 2021 Mar 31. doi:10.1016/j.amsu.2021.102268
  • Davids J, Manivannan S, Darzi A, Giannarou S, Ashrafian H, Marcus HJ. Simulation for skills training in neurosurgery: a systematic review, meta-analysis, and analysis of progressive scholarly acceptance. Neurosurg Rev. 2021;44(4):1853-1867. doi:10.1007/s10143-020-01378-0
  • Layard Horsfall H, Mao Z, Koh CH, et al. Comparative Learning Curves of Microscope Versus Exoscope: A Preclinical Randomized Crossover Noninferiority Study. Front Surg. 2022;9:920252. Published 2022 Jun 6. doi:10.3389/fsurg.2022.920252
  • Enkaoua A, Islam M, Ramalhinho J, et al. Image-guidance in endoscopic pituitary surgery: an in-silico study of errors involved in tracker-based techniques. Front Surg. 2023;10:1222859. Published 2023 Sep 15. doi:10.3389/fsurg.2023.1222859

 

Neurotechnology

  • Williams SC, Horsfall HL, Funnell JP, et al. Neurosurgical Team Acceptability of Brain-Computer Interfaces: A Two-Stage International Cross-Sectional Survey. World Neurosurg. 2022;164:e884-e898. doi:10.1016/j.wneu.2022.05.062

ucl division of neurosurgery