Evidence map›Paper›PMID 40901256›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Preoperative evaluation of endoscopic thyroidectomy via the total areola approach (ETA): a fluid-structure interaction model for predicting lymph node clearance and surgical suitability.

Ping Li, Yuheng Du, Xudong Wang, Yu Shi, Chongyang Ye, Rui Jin

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ping LiKey Laboratory of Basic an Translational Medicine on Head and Neck Cancer, Department of Maxillofacial and Ear, Nose and Throat Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Yuheng DuKey Laboratory of Basic an Translational Medicine on Head and Neck Cancer, Department of Maxillofacial and Ear, Nose and Throat Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Xudong WangKey Laboratory of Basic an Translational Medicine on Head and Neck Cancer, Department of Maxillofacial and Ear, Nose and Throat Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Yu ShiCollege of Arts, South China Agricultural University, Guangzhou, Guangdong, China.
Chongyang YeSchool of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Rui JinKey Laboratory of Basic an Translational Medicine on Head and Neck Cancer, Department of Maxillofacial and Ear, Nose and Throat Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global increase in thyroid cancer incidence has driven the adoption of minimally invasive techniques, such as endoscopic thyroidectomy via the total areola approach (ETA), which is widely used in China. However, concerns persist regarding the completeness of central lymph node dissection (CLND) in ETA due to anatomical constraints (e.g., clavicle and sternum), which may obscure the surgical view of the upper diaphragm (level VII, defined as the region between the clavicular surface and innominate artery). Clinical reports of residual/recurrent lymph nodes in ETA patients underscore the need for precise preoperative evaluation. We retrospectively analyzed 513 patients with T1-T2 thyroid cancer (178 ETA, 335 open surgery) who underwent CLND. Preoperative CT imaging was used to construct a fluid-solid interaction model simulating tissue deformation and stress under 0.5-2 N traction forces, with innominate artery flow velocities predicted computationally. Patients were stratified by clavicle-to-innominate artery distance: <5 mm, 5-13 mm, and >13 mm. No significant difference in lymph node yield was observed between the <5 mm and 5-13 mm groups compared to open surgery. However, the >13 mm group had significantly fewer dissected nodes (p < 0.05), with three recurrence cases during follow-up. ETA achieves oncologic outcomes comparable to open surgery for patients with clavicle-to-innominate artery distances <13 mm. Beyond this threshold, incomplete dissection may occur, suggesting preoperative CT assessment of this anatomical parameter could guide surgical approach selection.

Indexed as

central lymph node dissectionfluid-solid interaction modelinnominate artery velocitytechnology of total areola approachtissue deformation

Identifiers

PMID40901256
PMCPMC12399974

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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.