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Deformable Tissue Modelling and Augmented Reality Based Guidance for Head and Neck Tumor Re-Resection Task (SPeAR)

5 augustus 2026 bijgewerkt door: Michael Topf, Vanderbilt University Medical Center

Head and neck cancers have one of the highest recurrence rates among solid malignancies, and recurrence is strongly correlated with overall survival. Reducing recurrence rates depends, in part, on the surgeon's ability to accurately re-resect areas of positive or close margins during surgery. Currently, margin status is communicated primarily through verbal descriptions between the surgeon and pathologist, which can be imprecise. This challenge is further compounded by the deformable nature of soft tissues, as once the specimen is resected, the shape and size of the specimen change, making it difficult to accurately map the specimen's margins back onto the surgical site.

Emerging technologies -such as augmented reality (AR), 3D scanning, and advanced soft tissue modeling- offer promising solutions for improving surgical navigation and precision. Building on these advances, an AR-based surgical navigation system was developed specifically for head and neck tumor resections. The system uses a 3D scanner to generate virtual models of both the resected specimen and the patient's surgical site, as demonstrated in prior work. A soft tissue modeling algorithm is then applied to account for specimen shrinkage and deformation, enabling accurate tracking of positive tumor margins. This guidance information is visualized through an AR headset, which overlays the margin data directly onto the patient's surgical site, providing surgeons with real-time visual guidance during re-resection.

In this study, the goal is to evaluate the benefits and usability of this novel navigation software, compared to the standard of care. By assessing surgeon performance and user experience in cadaveric tasks with and without the AR system to identify strengths, limitations, and opportunities for refinement of the system, ultimately advancing surgical precision and improving patient outcomes by reducing recurrence rates.

Studie Overzicht

Toestand

Werving

Conditie

Interventie / Behandeling

Gedetailleerde beschrijving

Augmented reality (AR) technology, combined with computer vision algorithms, offers significant potential to enhance surgical visualization by generating GPS-like spatial maps over the patient's anatomy. This study aims to evaluate the usability and impact of our AR surgical guidance system, delivered through Microsoft HoloLens 2 (or equivalent AR/VR goggles such as Magic Leap or Apple Vision Pro), among surgeons while they complete various surgical tasks on cadaveric specimens. Specifically, an assessment of how the AR system influences surgeon performance and user experience during tasks such as suturing and specimen relocation, performed both with and without AR assistance.

Task accuracy (e.g., resection precision) will be measured and survey responses will be collected to assess the system's usability, ease of use, and comfort. Building on prior work where the investigators validated the feasibility and accuracy of AR-guided surgical holograms, this study focuses on advancing the evaluation of the system's usability and impact on performance. The goal is to generate insights into the application of AR guidance in head and neck tumor resection, ultimately contributing to improved intraoperative surgical precision and patient outcomes.

Studietype

Ingrijpend

Inschrijving (Geschat)

30

Fase

  • Vroege fase 1

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

  • Naam: Jie Ying Wu Assistant Professor of Computer Science, PhD
  • Telefoonnummer: 615-343-4996
  • E-mail: JieYing.Wu@vanderbilt.edu

Studie Locaties

  • Verenigde Staten
    • Tennessee
      • Nashville, Tennessee, Verenigde Staten, 37232
        • Werving
        • Vanderbilt University Medical Center
        • Contact:

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

  • Kind
  • Volwassen
  • Oudere volwassene

Accepteert gezonde vrijwilligers

Nee

Studie Bevolking

Surgeon-physician, surgical fellow, or post-graduate year 1, 2, 3, 4 and 5 (PGY2-5) resident physicians

Beschrijving

Inclusion Criteria:

  1. Post-graduate year 1, 2, 3, 4 and 5 (PGY2-5) resident physicians. (no age limit)
  2. Surgical fellows.
  3. Attending physicians.
  4. Prior cadaver lab or surgical experience.
  5. Any surgeon, regardless of training and experience, who has been involved in the surgeon-pathologist interaction during surgical resection for frozen section and margin clearance assessment.

Exclusion Criteria:

1. Non-physician surgery providers.

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

  • Primair doel: Toestel Haalbaarheid
  • Toewijzing: NVT
  • Interventioneel model: Opdracht voor een enkele groep
  • Masker: Geen (open label)

Wapens en interventies

Deelnemersgroep / Arm
Interventie / Behandeling
Ander: Augmented Reality (AR)

Participants will be asked to localize simulated margins on tissue resection beds on a fresh-frozen cadaver head. Specimens of skin, buccal, or tongue tissue will be resected by the research team beforehand.

Participants will be asked to place pins or stitches where the indicated targets are located. These positions will be recorded by the research team.

Participants will first receive oral guidance only, corresponding to common descriptions between pathologists and surgeons.

Participants will then reproduce the same task with AR guidance. In this case, the target will be displayed in the see-through AR headset. The target will be overlaid on the resection bed site and follow your head's movements.
Ander: Augmented Reality

Task accuracy will be evaluated by measuring distances between the points identified with and without AR guidance, and the pathologist-intended target locations.

Participants will then complete post-tasks surveys and interviews.

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Performance Task accuracy (e.g., resection precision)
Tijdsspanne: within 90 minutes of AR-guided use
Surgeon performance of target re-localization compared with and without the AR-headset.
within 90 minutes of AR-guided use
User Experience
Tijdsspanne: immediately after the AR-guided task.
Assess AR usability, ease of use, and comfort, through surgeon feedback surveys
immediately after the AR-guided task.
Accuracy of overlay alignment
Tijdsspanne: within 90 minutes of completing the AR-guided task.
This will validate the accuracy of overlay alignment through landmark-based (tumor margin relocation) error metrics, which support precision of re-resection tasks.
within 90 minutes of completing the AR-guided task.

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

Vanderbilt University Medical Center

Medewerkers

Vanderbilt University

Onderzoekers

  • Hoofdonderzoeker: Michael Topf, MD, Vanderbilt University Medical Center

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Werkelijk)

18 februari 2026

Primaire voltooiing (Geschat)

1 juni 2029

Studie voltooiing (Geschat)

1 juni 2029

Studieregistratiedata

Eerst ingediend

30 juni 2026

Eerst ingediend dat voldeed aan de QC-criteria

30 juni 2026

Eerst geplaatst (Werkelijk)

7 juli 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

10 augustus 2026

Laatste update ingediend die voldeed aan QC-criteria

5 augustus 2026

Laatst geverifieerd

1 juni 2026

Meer informatie

Termen gerelateerd aan deze studie

Trefwoorden

Andere studie-ID-nummers

  • 251090

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

ONBESLIST

Beschrijving IPD-plan

NIH requires through Data Management and Sharing Plans (DMSP) that all data collected during the research project be archived indefinitely and shared with the community after the project termination. De-identified data will then be transferred to Open Science Framework (OSF).

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

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