Evidence map›Paper›PMID 39138679›Full record

ArticleSurgical endoscopy2024

Intraoperative detection of parathyroid glands using artificial intelligence: optimizing medical image training with data augmentation methods.

Joon-Hyop Lee, EunKyung Ku, Yoo Seung Chung, Young Jae Kim, Kwang Gi Kim

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Article in Surgical endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Joon-Hyop Lee *Division of Endocrine Surgery, Department of Surgery, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, Korea.ORCID 0000-0003-0470-7719
EunKyung Ku *Department of Digital Media, The Catholic University of Korea, 43, Jibong-ro, Wonmi-gu, Bucheon, Gyeonggi, 14662, Korea.
Yoo Seung ChungDivision of Endocrine Surgery, Department of Surgery, Gachon University, College of Medicine, Gil Medical Center, Incheon, Korea.
Young Jae KimDepartment of Biomedical Engineering, College of Medicine, Gachon University, Gil Medical Center, 38-13 Dokjeom-ro 3Beon-gil, Namdong-gu, Incheon, 21565, Korea.
Kwang Gi KimDepartment of Biomedical Engineering, College of Medicine, Gachon University, Gil Medical Center, 38-13 Dokjeom-ro 3Beon-gil, Namdong-gu, Incheon, 21565, Korea. kimkg@gachon.ac.kr.ORCID 0000-0001-9714-6038

Funding

National Research Foundation (KR) RS-2023-00280861
6 · The paper itself

Abstract

backgroundPostoperative hypoparathyroidism is a major complication of thyroidectomy, occurring when the parathyroid glands are inadvertently damaged during surgery. Although intraoperative images are rarely used to train artificial intelligence (AI) because of its complex nature, AI may be trained to intraoperatively detect parathyroid glands using various augmentation methods. The purpose of this study was to train an effective AI model to detect parathyroid glands during thyroidectomy.

methodsVideo clips of the parathyroid gland were collected during thyroid lobectomy procedures. Confirmed parathyroid images were used to train three types of datasets according to augmentation status: baseline, geometric transformation, and generative adversarial network-based image inpainting. The primary outcome was the average precision of the performance of AI in detecting parathyroid glands.

results152 Fine-needle aspiration-confirmed parathyroid gland images were acquired from 150 patients who underwent unilateral lobectomy. The average precision of the AI model in detecting parathyroid glands based on baseline data was 77%. This performance was enhanced by applying both geometric transformation and image inpainting augmentation methods, with the geometric transformation data augmentation dataset showing a higher average precision (79%) than the image inpainting model (78.6%). When this model was subjected to external validation using a completely different thyroidectomy approach, the image inpainting method was more effective (46%) than both the geometric transformation (37%) and baseline (33%) methods.

conclusionThis AI model was found to be an effective and generalizable tool in the intraoperative identification of parathyroid glands during thyroidectomy, especially when aided by appropriate augmentation methods. Additional studies comparing model performance and surgeon identification, however, are needed to assess the true clinical relevance of this AI model.

Indexed as

Artificial IntelligenceParathyroid GlandsThyroidectomyAdultBiopsy, Fine-NeedleFemaleHumansHypoparathyroidismMaleMiddle AgedArtificial intelligenceData augmentationGenerative adversarial networkObject detectionParathyroid gland

Identifiers

PMID39138679
PMCPMC11458679

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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.