Soma Prathibha^1,*, Deepak Dahiya², C. R. Rene Robin³, Cherukuru Venkata Nishkala⁴, S. Swedha⁵

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 199-214, 2023, DOI:10.32604/iasc.2023.025819

Abstract Thyroid disease is a medical condition caused due to the excess release of thyroid hormone. It is released by the thyroid gland which is in front of the neck just below the larynx. Medical pictures such as X-rays and CT scans can, however, be used to diagnose it. In this proposed model, Deep Learning technology is used to detect thyroid diseases. A Convolution Neural Network (CNN) based modified ResNet architecture is employed to detect five different types of thyroid diseases namely 1. Hypothyroid 2. Hyperthyroid 3. Thyroid cancer 4. Thyroiditis 5. Thyroid nodules. In the proposed work, the training method… More >

Federico Cappellacci^*, Gian Luigi Canu, Stefano Piras, Giacomo Anedda, Pietro Giorgio Calò, Fabio Medas

Oncologie, Vol.24, No.1, pp. 35-50, 2022, DOI:10.32604/oncologie.2022.020864

Abstract Thyroid cancer is the fifth most common cancer in the USA, with differentiated subtype accounting for more than 95% of neoplasm. Surgery remains the mainstay of treatment, either with lobectomy or total thyroidectomy. In the last decades, many technological innovations have been introduced in this field. The aim of this review is to illustrate the most recent advances regarding the classical surgical approach, particularly regarding hemostatic devices, parathyroid identification with fluorescence systems, intraoperative identification of lymph node metastases, and intraoperative neuromonitoring. More >

Yanling An¹, Shaohai Hu^1,*, Shuaiqi Liu^2,3, Jie Zhao^2,3,*, Yu-Dong Zhang⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 203-222, 2021, DOI:10.32604/cmes.2021.015159

Abstract This paper proposes a computer-aided diagnosis system which can automatically detect thyroid nodules (TNs) and discriminate them as benign or malignant. The system firstly uses variational level set active contour with gradients and phase information to complete automatic extraction of the boundaries of thyroid nodules images. Then according to thyroid ultrasound images and clinical diagnostic criteria, a new feature extraction method based on the fusion of shape, gray and texture is explored. Due to the imbalance of thyroid sample classes, this paper introduces a weight factor to improve support vector machine, offering different classes of samples with different weights. Finally,… More >

Yu Xiao¹, Peng Zhou², Yizi Zheng¹, Chang Zheng¹, Guowen Liu¹, Weixiang Liu^3,*

Oncologie, Vol.23, No.2, pp. 219-228, 2021, DOI:10.32604/Oncologie.2021.016480

Abstract The elevation for lateral lymph node metastasis (LLNM) plays an important role in therapeutic decision-making for thyroid carcinoma. A reliable forecasting model for LLNM in patients with papillary thyroid micro-carcinoma (PTMC) is needed, using clinicopathological characteristics. A total of 576 PTMC patients with suspicious lateral cervical lymph node (II, III, IV or V region) metastasis and known clinicopathological variables were randomly collected at Shenzhen Second People’s Hospital. Cervical lymph node status of every patient was assessed by ultrasonography (US). The patients in this cohort study underwent thyroidectomy and lateral neck lymph node dissection. Univariate analysis and logistic regression analysis were… More >

Hyeong Won Yu¹, Muhammad Afzal², Maqbool Hussain², Hyungju Kwon³, Young Joo Park⁴, June Young Choi^1,*, Kyu Eun Lee⁵

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1241-1251, 2021, DOI:10.32604/cmc.2021.014910

Abstract Advances in technology are enabling gene mutations in papillary thyroid carcinoma (PTC) to be analyzed and clinical outcomes, such as recurrence, to be predicted. To date, the most common genetic mutation in PTC is in BRAF kinase (BRAF). However, whether mutations in other genes coincide with those in BRAF remains to be clarified. The aim of this study was to find mutations in other genes that co-exist with mutated BRAF, and to analyze their frequency and clinical relevance in PTC. Clinical and genetic data were collected from 213 PTC patients with a total of 36,572 mutation sites in 735 genes.… More >

Chuanwei Xu¹, Renju Ding², Chuanping Xu^3,*

Oncologie, Vol.22, No.1, pp. 43-51, 2020, DOI:10.32604/oncologie.2020.012445

Abstract To analyze the effects of different surgical procedures for the treatment of thyroid cancer on the expression levels of serum interleukin-17 (IL-17), IL-35, soluble interleukin-2 receptor (SIL-2R), and the prognostic factors. Seventy-eight patients with differentiated thyroid cancer were selected and grouped as control group (CG) (n = 39, underwent subtotal thyroidectomy) and observation group (OG) (n = 39, underwent total thyroidectomy). The serum IL-17, IL-35, and SIL- 2R expression levels; the incidence of complications; and the differentiated thyroid carcinoma (DTC) relapse rate were compared between the two groups. The serum IL-17 and SIL-2R levels were lower in the OG than… More >

Peter Bak¹, Cristel S. Hjortshøj², Peter Gæde³, Lars Idorn⁴, Lars Søndergaard², Annette S. Jensen²

Congenital Heart Disease, Vol.13, No.2, pp. 263-270, 2018, DOI:10.1111/chd.12565

Abstract Objective: Cyanotic congenital heart disease is a systemic disease, with effects on multiple organ systems. A high prevalence of subclinical hypothyroidism (SCH) has been reported in a small cohort of cyanotic congenital heart disease patients. Subclinical hypothyroidism has been associated with various adverse cardiovascular effects, as well as an increased risk of progression to overt hypothyroidism. The aim of this study was to examine the prevalence of SCH in cyanotic congenital heart disease patients, consider possible etiologies, and evaluate thyroid function over time.
Methods: First, 90 clinically stable cyanotic congenital heart disease patients were examined with blood samples (thyroid-stimulating hormone,… More >

Yanan Wang^∗, Qing-Hua Qin^∗, Shankar Kalyanasundaram^∗

Molecular & Cellular Biomechanics, Vol.6, No.2, pp. 101-112, 2009, DOI:10.3970/mcb.2009.006.101

Abstract A mathematical model is developed for simulating anabolic behaviour of bone affected by Parathyroid Hormone (PTH) in this paper. The model incorporates a new understanding on the interaction of PTH and other factors with the RANK-RANKL-OPG pathway into bone remodelling, which is able to simulate anabolic actions of bone induced by PTH at cellular level. The RANK-RANKL-OPG pathway together with the dual action of TGF-$\beta$, which represent the core of coupling behaviour between osteoblasts and osteoclasts which are two cell types specialising in the maintenance of bone integrity, are widely considered essential for the regulation of bone remodelling at cellular… More >