TeQ Publications

A list of recent publications by the TeQ Group.

Overview:

 

Digital surgery

Artificial Intelligence

  • Khan DZ, Koh CH, Das A, Valetopolou A, Hanrahan JG, Horsfall HL, Baldeweg SE, Bano S, Borg A, Dorward NL, Olukoya O, Stoyanov D, Marcus HJ. Video-Based Performance Analysis in Pituitary Surgery-Part 1: Surgical Outcomes. World Neurosurg. 2024 Aug 8:S1878-8750(24)01363-9. doi: 10.1016/j.wneu.2024.07.218. Epub ahead of print. PMID: 39122112.
  • Ellershaw, Simon; Tomlinson, Christopher; Burton, Oliver E; Frost, Thomas; Hanrahan, John Gerrard; Khan, Danyal Zaman; et al (2024) Automated Generation of Hospital Discharge Summaries Using Clinical Guidelines and Large Language Models. In: AAAI 2024 SSS on Clinical FMs. (pp. pp. 1-8). Stanford University: Stanford, California, USA. (2024)
  • Khan DZ, Newall N, Koh CH, Das A, Aapan S, Layard Horsfall H, Baldeweg SE, Bano S, Borg A, Chari A, Dorward NL, Elserius A, Giannis T, Jain A, Stoyanov D, Marcus HJ. Video-Based Performance Analysis in Pituitary Surgery - Part 2: Artificial Intelligence Assisted Surgical Coaching. World Neurosurg. 2024 Aug 8:S1878-8750(24)01370-6. doi: 10.1016/j.wneu.2024.07.219. Epub ahead of print. PMID: 39127380.
  • Sinha S, Williams SC, Hanrahan JG, Muirhead WR, Booker J, Khalil S, Kitchen N, Newall N, Obholzer R, Saeed SR, Marcus HJ, Grover P. Mapping the Clinical Pathway for Patients Undergoing Vestibular Schwannoma Resection. World Neurosurg. 2024 Jul 27:S1878-8750(24)01297-X. doi: 10.1016/j.wneu.2024.07.157. Epub ahead of print. PMID: 39074584.
  • Valetopoulou A, Williams S, Marcus HJ. Can artificial intelligence improve medicine's uncomfortable relationship with Maths? NPJ Digit Med. 2024 Jun 22;7(1):166. doi: 10.1038/s41746-024-01168-8. PMID: 38909083; PMCID: PMC11193742.
  • Booker J, Penn J, Noor K, Dobson RJB, Funnell JP, Koh CH, Khan DZ, Newall N, Rowland D, Sinha S, Williams SC, Sayal P, Marcus HJ. Early evaluation of a natural language processing tool to improve access to educational resources for surgical patients. Eur Spine J. 2024 Jul;33(7):2545-2552. doi: 10.1007/s00586-024-08315-5. Epub 2024 May 30. PMID: 38811438; PMCID: PMC11269391.
  • Booker J, Penn J, Koh CH, Newall N, Rowland D, Sinha S, Hanrahan JG, Williams SC, Sayal P, Marcus HJ. Mapping patient education encounters in elective surgery: a cohort study and cross-sectional survey. BMJ Open Qual. 2024 May 27;13(2):e002810. doi: 10.1136/bmjoq-2024-002810. PMID: 38802270; PMCID: PMC11131119.
  • Jensen MP, Qiang Z, Khan DZ, Stoyanov D, Baldeweg SE, Jaunmuktane Z, Brandner S, Marcus HJ. Artificial intelligence in histopathological image analysis of central nervous system tumours: A systematic review. Neuropathol Appl Neurobiol. 2024 Jun;50(3):e12981. doi: 10.1111/nan.12981. PMID: 38738494.
  • Mao Z, Das A, Islam M, Khan DZ, Williams SC, Hanrahan JG, Borg A, Dorward NL, Clarkson MJ, Stoyanov D, Marcus HJ, Bano S. PitSurgRT: real-time localization of critical anatomical structures in endoscopic pituitary surgery. Int J Comput Assist Radiol Surg. 2024 Jun;19(6):1053-1060. doi: 10.1007/s11548-024-03094-2. Epub 2024 Mar 25. PMID: 38528306; PMCID: PMC11178578.
  • Williams SC, Starup-Hansen J, Funnell JP, Hanrahan JG, Valetopoulou A, Singh N, Sinha S, Muirhead WR, Marcus HJ. Can ChatGPT outperform a neurosurgical trainee? A prospective comparative study. Br J Neurosurg. 2024 Feb 2:1-10. doi: 10.1080/02688697.2024.2308222. Epub ahead of print. PMID: 38305239
  • J Starup-Hansen, SC Williams, A Valetopoulou, DZ Khan, H Layard Horsfall, J Moudgil-Joshi, O Burton, H Kanona, SR Saeed, WR Muirhead, HJ Marcus, and P Grover. Skull base repair following resection of vestibular schwannoma: a systematic review (Part 2: The Translabyrinthine Approach). Journal of Neurological Surgery: Part B Skull Base. 2023.(in press) 
  • J Starup-Hansen, SC Williams, A Valetopoulou, DZ Khan, H Layard Horsfall, J Moudgil-Joshi, O Burton, H Kanona, SR Saeed, WR Muirhead, HJ Marcus, and P Grover. Skull base repair following resection of vestibular schwannoma: a systematic review (Part 1: The Retrosigmoid Approach). Journal of Neurological Surgery: Part B Skull Base. 2023.(in press) 
  • Hanrahan JG, Carter AW, Khan DZ, Funnell JP, Williams SC, Dorward NL, Baldeweg SE, Marcus HJ. Process analysis of the patient pathway for automated data collection: an exemplar using pituitary surgery. Front Endocrinol (Lausanne). 2024 Jan 12;14:1188870. doi: 10.3389/fendo.2023.1188870. PMID: 38283749; PMCID: PMC10811105.
  • 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

  • Dimitrakakis E, Dwyer G, Newall N, Khan DZ, Marcus HJ, Stoyanov D. Handheld robotic device for endoscopic neurosurgery: system integration and pre-clinical evaluation. Front Robot AI. 2024 Jun 5;11:1400017. doi: 10.3389/frobt.2024.1400017. PMID: 38899064; PMCID: PMC11186318.
  • Starup-Hansen, Joachim; Newall, Nicola; Dimitrakakis, Emmanouil; Khan, Danyal Z; Dwyer, George; Iyengar, Keshav; et al (2024) A Handheld Robot for Endoscopic Endonasal Skull Base Surgery: Updated Preclinical Validation Study (IDEAL Stage 0). Journal of Neurological Surgery Part B: Skull Base (2024) (In press)
  • 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, 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

  • Koh CH, Khawari S, Booker J, Choi D, Khan DZ, Layard Horsfall H, Sayal P, Marcus HJ, Prezerakos G. Validation of a surgical simulator and establishment of quantitative performance thresholds-RealSpine simulation system for open lumbar decompressions. Spine J. 2024 Aug 20:S1529-9430(24)00945-8. doi: 10.1016/j.spinee.2024.08.017. Epub ahead of print. PMID: 39173915.
  • Jalal AHB, Ngai V, Hanrahan JG, Das A, Khan DZ, Cotton E, Sharela S, Stasiak M, Marcus HJ, Pandit AS. Empowering Early Career Neurosurgeons in the Critical Appraisal of Artificial Intelligence and Machine Learning: The Design and Evaluation of a Pilot Course. World Neurosurg. 2024 Jul 27:S1878-8750(24)01307-X. doi: 10.1016/j.wneu.2024.07.166. Epub ahead of print. PMID: 39074581.
  • Koh CH, Muirhead W, Khan DZ, Layard Horsfall H, Prezerakos G, Sayal P, Marcus HJ. Distribution of case volumes in surgery: an analysis of the British Spine Registry. BMJ Surg Interv Health Technol. 2024 Mar 22;6(1):e000202. doi: 10.1136/bmjsit-2023-000202. PMID: 38529085; PMCID: PMC10961580.
  • 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

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