Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 245

The DOI matches its Crossref record.

Video-assisted neck surgery: endoscopic resection of thyroid tumors with a very minimal neck wound

Shimizu, Kazuo, Akira, Shigeo, Jasmi, Ali Yaakub, Kitamura, Yutaka, Kitagawa, Wataru, Akasu, Haruki, Tanaka, Shigeo·1999·Journal of the American College of Surgeons

Abstract

In recent years, endoscopic surgery has been widely applied with a view to minimizing tissue trauma and wound-related complications and improving cosmetic outcomes. Reports on its use in thyroid surgery are extremely scarce particularly with regard to exploiting the advantage of eliminating unattractive scars that we sometimes encounter in conventional operations on the exposed anterior part of the neck. We initially experimented and practiced endoscopic neck surgery on animals until we gained enough confidence for clinical application. After obtaining informed consent from patients and their families we began performing this new technique on patients with thyroid nodules; we termed this technique Video-Assisted Neck Surgery (VANS). We hereby report our early experience of VANS in the endoscopic resection of thyroid tumors in five patients, mainly looking at technical feasibility and the ability to reduce neck wounds to a minimum.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s1072-7515(99)00048-4

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 245

Metadata

Authors
Shimizu, K., Akira, S., Jasmi, A. Y., Kitamura, Y., Kitagawa, W., Akasu, H., & Tanaka, S.
Venue
Journal of the American College of Surgeons
Published
1999-06
Volume
188
Issue
6
Pages
697-703
ISSN
1072-7515 (ISSN-L)
OpenAlex
W2140735430
Cited by
245
References
0
FWCI
15.25
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Video-assisted neck surgery: endoscopic resection of thyroid tumors with a very minimal neck wound. https://app.cochat.ai/papers/10.1016/s1072-7515(99)00048-4
The paper
Shimizu, K., Akira, S., Jasmi, A. Y., Kitamura, Y., Kitagawa, W., Akasu, H., & Tanaka, S. (1999). Video-assisted neck surgery: endoscopic resection of thyroid tumors with a very minimal neck wound. Journal of the American College of Surgeons. https://doi.org/10.1016/s1072-7515(99)00048-4

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.