Serum osteopontin can improve papillary thyroid cancer risk assessment of Bethesda III thyroid nodules: a preliminary study

2021 ◽  
Author(s):  
Taha Ulutan Kars ◽  
Mustafa Kulaksizoglu ◽  
İbrahim Kılınç

Objective: Thyroid cancer can be detected in 5–10% of patients with thyroid nodules. Management may be a challenge if fine-needle aspiration biopsy yields Bethesda III findings. Most of these cases undergo surgery and are ultimately found benign. Our aim was to evaluate whether serum osteopontin can accurately estimate thyroid cancer risk in cases with cytologically Bethesda III thyroid nodules and, thereby, decrease the number of unnecessary surgical interventions. Design and Methods: We obtained blood samples of cases with repeated cytologically Bethesda III thyroid nodules before surgery, and followed up the pathology results after thyroidectomy. We evaluated serum osteopontin from 36 patients with papillary thyroid cancer and compared them with 40 benign cases. Results: Serum osteopontin levels in patients with papillary thyroid cancer are significantly higher than in benign cases (mean serum osteopontin: 10.48 ± 3.51 ng/mL vs 6.14 ± 2.29 ng/mL, p<0.001). The area under the receiver operating characteristics curve was 0.851, suggesting that serum osteopontin could have considerable discriminative performance. Conclusions: In our preliminary study, high serum osteopontin levels can predict the risk of papillary thyroid cancer in thyroid nodules with Bethesda III cytology. Further studies are necessary to confirm these findings.

2019 ◽  
Vol 26 (20) ◽  
pp. 20560-20572 ◽  
Author(s):  
Chi Zhang ◽  
Hua-Bing Wu ◽  
Meng-Xia Cheng ◽  
Ling Wang ◽  
Chao-Bing Gao ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Poorani N. Goundan ◽  
Jonathan Mamou ◽  
Daniel Rohrbach ◽  
Jason Smith ◽  
Harshal Patel ◽  
...  

BackgroundGray-scale, B-mode ultrasound (US) imaging is part of the standard clinical procedure for evaluating thyroid nodules (TNs). It is limited by its instrument- and operator-dependence and inter-observer variability. In addition, the accepted high-risk B-mode US TN features are more specific for detecting classic papillary thyroid cancer rather than the follicular variant of papillary thyroid cancer or follicular thyroid cancer. Quantitative ultrasound (QUS) is a technique that can non-invasively assess properties of tissue microarchitecture by exploiting information contained in raw ultrasonic radiofrequency (RF) echo signals that is discarded in conventional B-mode imaging. QUS provides quantitative parameter-value estimates that are a function of the properties of US scatterers and microarchitecture of the tissue. The purpose of this preliminary study was to assess the performance of QUS parameters in evaluating benign and malignant thyroid nodules.MethodsPatients from the Thyroid Health Center at the Boston Medical Center were recruited to participate. B-mode and RF data were acquired and analyzed in 225 TNs (24 malignant and 201 benign) from 208 patients. These data were acquired either before (167 nodules) or after (58 nodules) subjects underwent fine-needle biopsy (FNB). The performance of a combination of QUS parameters (CQP) was assessed and compared with the performance of B-mode risk-stratification systems.ResultsCQP produced an ROC AUC value of 0.857 ± 0.033 compared to a value of 0.887 ± 0.033 (p=0.327) for the American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) and 0.880 ± 0.041 (p=0.367) for the American Thyroid Association (ATA) risk-stratification system. Furthermore, using a CQP threshold of 0.263 would further reduce the number of unnecessary FNBs in 44% of TNs without missing any malignant TNs. When CQP used in combination with ACR TI-RADS, a potential additional reduction of 49 to 66% in unnecessary FNBs was demonstrated.ConclusionThis preliminary study suggests that QUS may provide a method to classify TNs when used by itself or when combined with a conventional gray-scale US risk-stratification system and can potentially reduce the need to biopsy TNs.


2012 ◽  
Vol 21 (12) ◽  
pp. 2268-2271 ◽  
Author(s):  
Cari M. Kitahara ◽  
Gila Neta ◽  
Ruth M. Pfeiffer ◽  
Deukwoo Kwon ◽  
Li Xu ◽  
...  

Thyroid ◽  
2012 ◽  
Vol 22 (2) ◽  
pp. 151-156 ◽  
Author(s):  
Sara J. Schonfeld ◽  
Gila Neta ◽  
Erich M. Sturgis ◽  
Ruth M. Pfeiffer ◽  
Amy A. Hutchinson ◽  
...  

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