| Literature DB >> 35903045 |
Na Hyun Kim1, Jong Soo Han1,2, Woo Kyung Bae1,2, Joo Young Kim1, Kiheon Lee1, Hyejin Lee1, Kee Hyuck Lee1, Se Young Jung1,3, HanKyung Lee2, Hee-Yeong Jeong2, Young A Kim2, Suyoun Sim2, Ji-Won Kang2.
Abstract
BACKGROUND: Since the era of "thyroid cancer epidemic," many Korean academic societies discouraged the use of ultrasonography in healthy individuals and revised the Korean Thyroid Imaging Reporting and Data System to address the overscreening and overdiagnosis issues. This study aimed to evaluate the change in the diagnostic effectiveness of thyroid cancer screening over the last decade.Entities:
Keywords: Diagnostic Imaging; Early Detection of Cancer; Fine-Needle Biopsy; Predictive Value of Tests; Thyroid Neoplasms
Year: 2022 PMID: 35903045 PMCID: PMC9334713 DOI: 10.4082/kjfm.21.0168
Source DB: PubMed Journal: Korean J Fam Med ISSN: 2005-6443
Figure. 1.Flowchart showing the total number of population included in the study. US, ultrasonography; FNA, fine-needle aspiration.
Total number of thyroid FNA biopsies performed from 2010 to 2019 in patients visiting the health promotion center and the number of diagnosed thyroid cancer from the biopsies, and the calculated positive predictive values of thyroid FNA each year
| Year | No. of thyroid ultrasounds performed (n=125,962) | No. of thyroid FNA[ | No. of diagnosed thyroid cancer[ | Positive predictive values (%)[ |
|---|---|---|---|---|
| 2010 | 10,609 | 166 | 43 | 25.9 |
| 2011 | 11,941 | 230 | 49 | 21.3 |
| 2012 | 12,480 | 151 | 31 | 20.5 |
| 2013 | 12,431 | 129 | 46 | 35.7 |
| 2014 | 11,833 | 150 | 43 | 28.7 |
| 2015 | 11,925 | 93 | 33 | 35.5 |
| 2016 | 13,926 | 58 | 20 | 34.5 |
| 2017 | 12,321 | 64 | 25 | 39.1 |
| 2018 | 13,954 | 39 | 15 | 38.5 |
| 2019 | 14,542 | 48 | 22 | 45.8 |
FNA, fine-needle aspiration.
“No. of thyroid FNA” contains the total number of thyroid FNA performed each year. FNA samples from other institutions were excluded.
“No. of diagnosed thyroid cancer” contains the total number of thyroid cancer diagnoses confirmed by pathologic reports. Pathological reports from other institutions were excluded.
“Positive predictive values” were calculated by dividing the “no. of thyroid cancer diagnosed” and the “no. of thyroid FNA” in such a year.
Figure. 2.Pearson’s correlation coefficients were calculated to evaluate the correlation between the annual number of thyroid fine-needle aspiration (FNA) biopsy performed in patients visiting from 2010 to 2019 and (A) the annual number of thyroid cancer diagnosis confirmed through FNA biopsy, (B) the positive predictive values (PPV), and (C) the difference in PPV from previous year. The linear lines indicate significant correlations (P<0.05). *The PPV were calculated. The results are shown in the fourth column of Table 1. See the commentary in Table 1 for a detailed equation. †Differences in PPV from that in the previous year were calculated using the following equation: difference in PPV=(number of thyroid cancer diagnoses–number of thyroid cancer diagnoses from previous year)/(number of thyroid FNA–number of thyroid FNA from previous year). The calculated annual changes can be both positive and negative.
Figure. 3.Positive predictive values* (%) of thyroid fine-needle aspirations performed on patients visiting the health promotion center from 2010 to 2019. *Positive predictive values were calculated and shown on the fourth column of Table 1. See commentary on Table 1 for a detailed equation.
Histological types obtained from thyroid fine-needle aspiration performed on patients visiting the health promotion center from 2010 to 2019
| Year | Histological types[ | ||
|---|---|---|---|
| Papillary carcinoma (n=314) | Follicular carcinoma (n=12) | Medullary carcinoma (n=1) | |
| 2010 | 42 | 1 | 0 |
| 2011 | 47 | 2 | 0 |
| 2012 | 30 | 1 | 0 |
| 2013 | 44 | 2 | 0 |
| 2014 | 41 | 2 | 0 |
| 2015 | 31 | 1 | 1 |
| 2016 | 19 | 1 | 0 |
| 2017 | 23 | 2 | 0 |
| 2018 | 15 | 0 | 0 |
| 2019 | 22 | 0 | 0 |
Histological types were classified according to the International Agency for Research on Cancer (International Classification of Diseases for Oncology, third edition).