AIMC Topic: Thyroid Neoplasms
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A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration Biopsies.
Thyroid : official journal of the American Thyroid Association
Mar 4, 2024
Gasless robot-assisted transaxillary hemithyroidectomy (RATH): learning curve and complications.
BMC surgery
Mar 2, 2024
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
Feb 24, 2024
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)
Feb 1, 2024
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...
A commentary on 'Performance of CT-based deep learning in diagnostic assessment of suspicious lateral lymph nodes in papillary thyroid cancer: a prospective diagnostic study'.
International journal of surgery (London, England)
Feb 1, 2024
Optimizing robotic thyroid surgery: lessons learned from an retrospective analysis of 104 cases.
Frontiers in endocrinology
Jan 30, 2024
BACKGROUND: Robotic assistance in thyroidectomy is a developing field that promises enhanced surgical precision and improved patient outcomes. This study investigates the impact of the da Vinci Surgical System on operative efficiency, learning curve,...
Comparison of postoperative pain between transoral and conventional thyroidectomy: a propensity score-matched analysis.
Surgical endoscopy
Jan 22, 2024
BACKGROUND: The extent of postoperative pain following transoral thyroidectomy is not well-understood and remains a subject of debate. This study aims to analyze and compare postoperative pain levels between patients undergoing transoral and conventi...
Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images.
International journal of computer assisted radiology and surgery
Jan 18, 2024
PURPOSE: A large number of research has been conducted on the classification of medical images using deep learning. The thyroid tissue images can be also classified by cancer types. Deep learning requires a large amount of data, but every medical ins...
An integrated model incorporating deep learning, hand-crafted radiomics and clinical and US features to diagnose central lymph node metastasis in patients with papillary thyroid cancer.
BMC cancer
Jan 12, 2024
OBJECTIVE: To evaluate the value of an integrated model incorporating deep learning (DL), hand-crafted radiomics and clinical and US imaging features for diagnosing central lymph node metastasis (CLNM) in patients with papillary thyroid cancer (PTC).
Safety and surgical outcomes of single-port trans-axillary robot-assisted thyroidectomy: Experience from a consecutive series of 300 patients.
Journal of robotic surgery
Jan 12, 2024
Since the introduction of the single-port (SP) robotic system, SP trans-axillary robot-assisted thyroidectomy (SP-TART) has been performed. We aimed to evaluate the safety and surgical outcomes of SP-TART in a consecutive series of 300 cases. We anal...
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