Evidence map›Paper›PMID 42448627›Full record

ArticleHead & neck2026

Submental Approach Robotic-Assisted Neck Dissection (SARAND) for Minimally Invasive Bilateral Neck Dissection: A Feasibility Cadaver Dissection Study.

Bartosz P Wojtera, Karma Lambercy, Avinash Beharry, Ka Hei Suen, Markus Rheinwald, Christian Simon

Abstract read
In one paragraph

Article in Head & neck, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bartosz P WojteraDepartment of Otolaryngology, Head and Neck Surgery, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-4677-0783
Karma LambercyDepartment of Otolaryngology, Head and Neck Surgery, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.ORCID https://orcid.org/0009-0000-3323-7440
Avinash BeharryDepartment of Otolaryngology, Head and Neck Surgery, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-7694-1312
Ka Hei SuenDepartment of Surgical Applications Engineering, Intuitive Surgical, Sunnyvale, California, USA.ORCID https://orcid.org/0000-0001-8257-9690
Markus RheinwaldDepartment of Surgical Applications Engineering, Intuitive Surgical, Sunnyvale, California, USA.ORCID https://orcid.org/0009-0008-9216-8703
Christian SimonDepartment of Otolaryngology, Head and Neck Surgery, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-4156-9143

Funding

Intuitive Surgical
6 · The paper itself

Abstract

backgroundFollowing promising initial results of the robotic-assisted extended "Sistrunk" approach (RESA) that uses a submental incision to hypopharyngeal and laryngeal tumors, bypassing the base of tongue, we report its further development: submental approach robotic-assisted neck dissection (SARAND), intended to enable bilateral neck dissections.

methodsBilateral neck dissections (levels I-IV) were performed on three cadavers using both multiport and single-port robotic platforms.

resultsWe demonstrate the feasibility of performing levels I-IV dissections through a single submental incision with both robotic platforms. A central working space was established over the hyoid bone, and boom rotation enabled optimal access to all neck levels from I to IV.

conclusionSARAND appears to be a promising minimally invasive technique for both unilateral and bilateral neck dissection. It offers the potential to reduce neck morbidity compared to conventional approaches. Additionally, it potentially enables neck dissection and primary tumor excision via a median pharyngotomy during the same procedure.

Indexed as

Neck DissectionRobotic Surgical ProceduresCadaverFeasibility StudiesFemaleHumansMaleMinimally Invasive Surgical Proceduresbilateral neck dissectionda Vinciendoscopic surgeryhead and neck surgeryrobotic surgery

Identifiers

PMID42448627
PMCPMC13595487

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.