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Thyroid Neoplasms

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Expansion of thyroid surgical territory through 10,000 cases under the da Vinci robotic knife.

Scientific reports
With the progress of robotic transaxillary thyroid surgery (RTTS), the indications for this procedure have gradually expanded. This study presents the insights gained from performing 10,000 RTTS cases at a single institution, along with the expansion...

Predicting central cervical lymph node metastasis in papillary thyroid microcarcinoma using deep learning.

PeerJ
BACKGROUND: The aim of this study is to design a deep learning (DL) model to preoperatively predict the occurrence of central lymph node metastasis (CLNM) in patients with papillary thyroid microcarcinoma (PTMC).

A systematic review of machine learning based thyroid tumor characterisation using ultrasonographic images.

Journal of ultrasound
Ultrasonography is widely used to screen thyroid tumors because it is safe, easy to use, and low-cost. However, it is simultaneously affected by speckle noise and other artifacts, so early detection of thyroid abnormalities becomes difficult for the ...

Monitoring multistage healthcare processes using state space models and a machine learning based framework.

Artificial intelligence in medicine
Monitoring healthcare processes, such as surgical outcomes, with a keen focus on detecting changes and unnatural conditions at an early stage is crucial for healthcare professionals and administrators. In line with this goal, control charts, which ar...

Application of deep-learning to the automatic segmentation and classification of lateral lymph nodes on ultrasound images of papillary thyroid carcinoma.

Asian journal of surgery
PURPOSE: It is crucial to preoperatively diagnose lateral cervical lymph node (LN) metastases (LNMs) in papillary thyroid carcinoma (PTC) patients. This study aims to develop deep-learning models for the automatic segmentation and classification of L...

Gasless robot-assisted transaxillary hemithyroidectomy (RATH): learning curve and complications.

BMC surgery
PURPOSE: Gasless robot-assisted transaxillary hemithyroidectomy (RATH) is regarded as an alternative surgical option for thyroid operations. However, the associated steep learning curve is a clinical concern. This study evaluated the learning curve o...

Deep neural networks can differentiate thyroid pathologies on infrared hyperspectral images.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The thyroid is a gland responsible for producing important body hormones. Several pathologies can affect this gland, such as thyroiditis, hypothyroidism, and thyroid cancer. The visual histological analysis of thyroid specim...

Preliminary report on a novel technique for endoscopic transaxillary thyroidectomy: a case-control study.

International journal of surgery (London, England)
BACKGROUND: Endoscopic transaxillary approaches to thyroidectomy have been well described and gasless transaxillary endoscopic thyroidectomy (GTET) is the most popular method. However, this require a single long axillary incision which is longer than...