Background: The detection rate of thyroid nodules has witnessed a significant surge in recent years, triggering heightened public apprehension. Short video platforms such as TikTok and BiliBili have showed tremendous potential in the dissemination of health information. There is a plethora of videos about thyroid nodules on TikTok and BiliBili, but the quality and reliability of videos concerning thyroid nodules remains unknown.
Methods: On December 3, 2023, the top 100 short videos related to thyroid nodules on BiliBili and TikTok were collected through a comprehensive search in Chinese. After extracting the basic information, the quality and reliability of each video was assessed by using the global quality score (GQS) and DISCERN score. Further, Spearman correlation analyses were applied to examine the correlation among video variables, GQS and DISCERN score.
Results: Compared to BiliBili, TikTok exhibits greater popularity, as evidenced by higher counts of likes (= 0.021), comments (= 0.008) and shares (= 0.017). The median (interquartile range) scores of GQS and DISCERN score were 3 (2-3) on TikTok while 2 (2-3) on BiliBili. Both reviewers exhibited good consistency in GQS and DISCERN score. Moreover, it was observed that the videos shared by thyroid specialists demonstrated higher scores both in GQS (= 0.014) and DISCERN score (= 0.022) than others on TikTok. Spearman correlation analysis revealed no significant correlation between video variables and the scores of GQS and DISCERN score.
Conclusions: The quality and reliability of thyroid nodules videos on BiliBili and TikTok were unsatisfactory. Notably, videos shared by thyroid specialists are more likely to exhibit superior quality and reliability. People should exercise caution when perusing short videos.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11459542 | PMC |
http://dx.doi.org/10.1177/20552076241288831 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Department of Radiology, University of Chicago, Chicago, IL, USA.
Purpose: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS classification is a key step in predicting nodule pathology. Determining thyroid nodule contours is necessary for the calculation of TIRADS scores and can also be used in the development of machine learning nodule diagnosis systems. This paper presents the development, validation, and multi-institutional independent testing of a machine learning system for the automatic segmentation of thyroid nodules on ultrasound.
View Article and Find Full Text PDFRadiol Imaging Cancer
January 2025
From the Division of Interventional Radiology, Beth Israel Deaconess Medical Center-Harvard Medical School, 1 Deaconess Rd, Rosenberg 3, Boston, MA 02215.
Dan Med J
November 2024
Department of Otorhinolaryngology - Head and Neck Surgery and Audiology, Aalborg University Hospital.
Introduction: Shared decision-making (SDM) enables individually tailored treatment plans. This survey explored patients' and surgeons' perceptions of SDM in consultations on thyroid nodules. Furthermore, we aimed to explore possible discrepancies between the groups, identify factors influencing patients' perceived levels of SDM and evaluate decisional regret.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
January 2025
Department of Otolaryngology-Head and Neck Surgery, Beilinson Hospital, Rabin Medical Center.
Thyroid lobectomy has gained increasing popularity over the past decade as a treatment for differentiated thyroid cancer (DTC), largely due to a rise in the diagnosis of low-risk cancers and evidence showing no benefit from radioiodine in low-risk disease. Multiple studies have confirmed lobectomy as an effective and safe option. Its advantages over total thyroidectomy include lower complication rates and a reduced need for lifelong levothyroxine (LT4) therapy.
View Article and Find Full Text PDFLaryngoscope
December 2024
Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Victoria, Australia.
Objective: This systematic review seeks to evaluate the prevalence of local symptoms in patients with benign thyroid disease as described in the literature.
Data Sources: A literature search was conducted across PubMed, Embase, Medline, and Cochrane databases.
Review Methods: Crude symptom prevalence was obtained by addition of data across studies that reported local symptoms, and adjusted symptom frequency was calculated using a random effects model.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!