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Updated: Dec 31, 2025

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
Published on: June 9, 2023
Patients' View on the Management of Papillary Thyroid Microcarcinoma: Active Surveillance or Surgery
Yusaku Yoshida1, Kiyomi Horiuchi1, Takahiro Okamoto1
1Department of Breast and Endocrine Surgery, Tokyo Women's Medical University, Tokyo, Japan.
Abstract:
Clinical practice guidelines have endorsed both active surveillance and surgery as viable management options for papillary thyroid microcarcinoma (PTMC). However, patients' perceptions on the options have rarely been addressed. A cross-sectional survey was conducted on 50 patients with PTMC who were under either active surveillance (n = 20) or postoperative follow-up (n = 30). The primary outcome was anxiety, which was measured using the State-Trait Anxiety Inventory (STAI). A questionnaire that comprised six items about PTMC-related symptoms and concerns, which were measured with a visual analog scale, was also administered. Cohen's d effect size was calculated to express group differences. Multiple regression analysis was used to examine the relationships between state anxiety and other variables. The median age and observation period were 61.5 years (range, 40-83 years) and 4.1 years (range, 0-8.6 years), respectively. The female/male ratio was 38/12. Compared with the surgery group, the active surveillance group showed higher scores in both state anxiety and trait anxiety, with corresponding effect sizes of 0.55 (confidence interval [CI] -0.03 to 1.1; p = 0.068) and 0.63 (CI 0.02-1.2; p = 0.037), respectively. Trait anxiety (β = 0.83) and observation time (β = -1.57) were the significant predictors of state anxiety. Moderate effect sizes were observed for "discomfort in the neck" (-0.53; CI -1.11 to 0.04); "weak voice" (-0.46; CI -1.03 to 0.12); and "nervous about neck appearance" (-0.64; CI -1.23 to -0.07), in favor of active surveillance. State anxiety among patients with PTMC seemed to be a reflection of an individual's trait rather than management. Understanding the patients' view appears to be key to improve shared decision-making.
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