AIMC Topic: Thyroid Neoplasms

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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...

Optimizing robotic thyroid surgery: lessons learned from an retrospective analysis of 104 cases.

Frontiers in endocrinology
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
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
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
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
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...

Mini-invasive video-assisted thyroidectomy vs robot-assisted transaxillary thryoidectomy: analisys and comparison of safety and outcomes.

Updates in surgery
Thyroid surgery is characterized by large volumes and typically affects a young female population. Mini-invasive or remote access surgical techniques are born driven by the desire to improve aesthetic outcomes of the traditional technique, following ...

Adrenal incidentalomas, cortisol secretion and cancer: is there a real crosstalk?

Frontiers in endocrinology
BACKGROUND: Cortisol has immunomodulatory effects that increase the risk and evolution of several diseases. Cancer is characterized by a proinflammatory state in which cells exert impaired function and proliferation. The relation between cortisol sec...