Thyroid cancer histological subtypes based on tumor size: National perspective

Al‐Qurayshi, Zaid; Foggia, Megan J.; Pagedar, Nitin A.; Lee, Grace S.; Tufano, Ralph P.; Kandil, Emad

doi:10.1002/hed.26159

Cited by 10 publications

(3 citation statements)

References 58 publications

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“…Patients age >65 had a decreased survival rate and the risk of death increases by 5.2% for each additional year(3). Previous study found that tumor size >4 cm had signi cantly worse survival outcome compared to those diameter ≤4 cm (12). The results of this study veri ed the previously established conclusions that lesion size is associated with a decreased survival trend (13,14).…”

Section: Discussionsupporting

confidence: 88%

Postoperative Nomogram for predicting Cancer-Specific and Overall Survival Among Patients with Medullary Thyroid Cancer

Chen

Wang

Zhao

et al. 2020

Preprint

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Background Medullary thyroid carcinoma (MTC) accounts for 1% -2% of thyroid cancer in the United States based on the latest Surveillance, Epidemiology, and End Results (SEER) data, this study aimed to construct a comprehensive predictive nomogram based on various clinical variables in MTC patients who undergo total thyroidectomy and neck lymph nodes dissection.Methods Data regarding 1237 MTC patients who undergo total thyroidectomy and neck lymph nodes dissection from 2004 to 2015 were obtained from the SEER database. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent predictors. These independent factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year overall survival and cancer-specific survival among these MTC patients.Result A total of 1237 patients enrolled from the SEER database were randomly divided into the training group (n = 867) and the test group (n = 370). Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors (P <0.05). Tumor size, age, metastasis status, and LNR were selected as independent predictors of overall survival (OS) and cancer-specific survival (CSS). Finally, two nomograms were developed, the predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the training group were 0.828 and 0.904, respectively. The predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the test group were 0.813 and 0.828.Conclusion Nomograms constructed by using various clinical variables can make more comprehensive and accurate predictions for MTC patients who undergo total thyroidectomy and neck lymph nodes. These predictive nomograms help identify postoperative high-risk MTC patients and facilitate patient counseling on clinical prognosis and follow-up.

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Section: Discussionsupporting

confidence: 88%

Postoperative Nomogram for predicting Cancer-Specific and Overall Survival Among Patients with Medullary Thyroid Cancer

Chen

Wang

Zhao

et al. 2020

Preprint

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“…Medullary thyroid carcinoma (MTC) arises from the parafollicular C cells of the thyroid, accountings for only 5–10% of all thyroid cancers worldwide, however, despite its rarity, MTC is responsible for 8–13% of thyroid cancer-related deaths [ [ 1 , 2 ]]. Approximately 75% of the patients have no family history of MTC, while the rest show a genetic form of the RET mutation [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Efficacy and safety of selpercatinib in treating RET-altered MTC: A single-arm meta-analysis

Huang,

Zhang,

Zheng

et al. 2024

Heliyon

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“…Central vascularization and a high rate of metabolic activity are important characteristics of malignant nodules [ 11 ]. Due to increased blood flow, malignant nodules could have a higher and more constant temperature than the surrounding region or benign nodules [ 12 , 13 , 14 ]. The verification (or contradiction) of these statements is the aim of this study.…”

Section: Introductionmentioning

confidence: 99%

A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data)

González

Damião

Morán

et al. 2021

Sensors

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According to experts and medical literature, healthy thyroids and thyroids containing benign nodules tend to be less inflamed and less active than those with malignant nodules. It seems to be a consensus that malignant nodules have more blood veins and more blood circulation. This may be related to the maintenance of the nodule’s heat at a higher level compared with neighboring tissues. If the internal heat modifies the skin radiation, then it could be detected by infrared sensors. The goal of this work is the investigation of the factors that allow this detection, and the possible relation with any pattern referent to nodule malignancy. We aim to consider a wide range of factors, so a great number of numerical simulations of the heat transfer in the region under analysis, based on the Finite Element method, are performed to study the influence of each nodule and patient characteristics on the infrared sensor acquisition. To do so, the protocol for infrared thyroid examination used in our university’s hospital is simulated in the numerical study. This protocol presents two phases. In the first one, the body under observation is in steady state. In the second one, it is submitted to thermal stress (transient state). Both are simulated in order to verify if it is possible (by infrared sensors) to identify different behavior referent to malignant nodules. Moreover, when the simulation indicates possible important aspects, patients with and without similar characteristics are examined to confirm such influences. The results show that the tissues between skin and thyroid, as well as the nodule size, have an influence on superficial temperatures. Other thermal parameters of thyroid nodules show little influence on surface infrared emissions, for instance, those related to the vascularization of the nodule. All details of the physical parameters used in the simulations, characteristics of the real nodules and thermal examinations are publicly available, allowing these simulations to be compared with other types of heat transfer solutions and infrared examination protocols. Among the main contributions of this work, we highlight the simulation of the possible range of parameters, and definition of the simulation approach for mapping the used infrared protocol, promoting the investigation of a possible relation between the heat transfer process and the data obtained by infrared acquisitions.

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Thyroid cancer histological subtypes based on tumor size: National perspective

Cited by 10 publications

References 58 publications

Postoperative Nomogram for predicting Cancer-Specific and Overall Survival Among Patients with Medullary Thyroid Cancer

Postoperative Nomogram for predicting Cancer-Specific and Overall Survival Among Patients with Medullary Thyroid Cancer

Efficacy and safety of selpercatinib in treating RET-altered MTC: A single-arm meta-analysis

A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data)

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