AIMC Topic: Thyroid Neoplasms
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Mini-invasive video-assisted thyroidectomy vs robot-assisted transaxillary thryoidectomy: analisys and comparison of safety and outcomes.
Updates in surgery
Jan 10, 2024
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
Jan 8, 2024
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...
An audit of medullary thyroid carcinoma from a tertiary care hospital in northwest India.
Frontiers in endocrinology
Jan 8, 2024
INTRODUCTION: Medullary thyroid carcinoma (MTC) is a rare thyroid malignancy originating from parafollicular C cells. It accounts for 5%-10% of all thyroid malignancies.
Machine learning based on SEER database to predict distant metastasis of thyroid cancer.
Endocrine
Dec 29, 2023
OBJECTIVE: Distant metastasis of thyroid cancer often indicates poor prognosis, and it is important to identify patients who have developed distant metastasis or are at high risk as early as possible. This paper aimed to predict distant metastasis of...
Exploring the advances of single-cell RNA sequencing in thyroid cancer: a narrative review.
Medical oncology (Northwood, London, England)
Dec 21, 2023
Thyroid cancer, a prevalent form of endocrine malignancy, has witnessed a substantial increase in occurrence in recent decades. To gain a comprehensive understanding of thyroid cancer at the single-cell level, this narrative review evaluates the appl...
Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study.
Ultraschall in der Medizin (Stuttgart, Germany : 1980)
Dec 5, 2023
PURPOSE: To investigate the feasibility of deep learning radiomics (DLR) based on multimodal ultrasound to differentiate the primary cancer sites of metastatic cervical lymphadenopathy (CLA).
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)
Nov 1, 2023
BACKGROUND: Preoperative evaluation of the metastasis status of lateral lymph nodes (LNs) in papillary thyroid cancer is challenging. Strategies for using deep learning to diagnosis of lateral LN metastasis require additional development and testing....
The performance of deep learning on thyroid nodule imaging predicts thyroid cancer: A systematic review and meta-analysis of epidemiological studies with independent external test sets.
Diabetes & metabolic syndrome
Oct 25, 2023
BACKGROUND AND AIMS: It is still controversial whether deep learning (DL) systems add accuracy to thyroid nodule imaging classification based on the recent available evidence. We conducted this study to analyze the current evidence of DL in thyroid n...
Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study.
European radiology
Oct 11, 2023
OBJECTIVES: This study aimed to propose a deep learning (DL)-based framework for identifying the composition of thyroid nodules and assessing their malignancy risk.
An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis.
Scientific reports
Oct 3, 2023
Raman spectroscopy shows great potential as a diagnostic tool for thyroid cancer due to its ability to detect biochemical changes during cancer development. This technique is particularly valuable because it is non-invasive and label/dye-free. Compar...
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