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Spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in Fukushima Prefecture
Following the Fukushima Daiichi Nuclear Power Plant (FNPP) accident on 11 March 2011, there have been concerns regarding the health impacts of the ensuing radioactive environmental contamination, which was spatially heterogeneous. This study aimed to assess the geographical variability of thyroid ca...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281575/ https://www.ncbi.nlm.nih.gov/pubmed/30518765 http://dx.doi.org/10.1038/s41598-018-35971-7 |
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author | Nakaya, Tomoki Takahashi, Kunihiko Takahashi, Hideto Yasumura, Seiji Ohira, Tetsuya Ohto, Hitoshi Ohtsuru, Akira Midorikawa, Sanae Suzuki, Shinichi Shimura, Hiroki Yamashita, Shunichi Tanigawa, Koichi Kamiya, Kenji |
author_facet | Nakaya, Tomoki Takahashi, Kunihiko Takahashi, Hideto Yasumura, Seiji Ohira, Tetsuya Ohto, Hitoshi Ohtsuru, Akira Midorikawa, Sanae Suzuki, Shinichi Shimura, Hiroki Yamashita, Shunichi Tanigawa, Koichi Kamiya, Kenji |
author_sort | Nakaya, Tomoki |
collection | PubMed |
description | Following the Fukushima Daiichi Nuclear Power Plant (FNPP) accident on 11 March 2011, there have been concerns regarding the health impacts of the ensuing radioactive environmental contamination, which was spatially heterogeneous. This study aimed to assess the geographical variability of thyroid cancer prevalence among children and adolescents in Fukushima Prefecture. We computed the sex- and age-standardised prevalence ratio using 115 diagnosed or suspected thyroid cancer cases among approximately 300,000 examinees at the first-round ultrasound examination during 2011–2015 from 59 municipalities in the prefecture, under the Fukushima Health Management Survey. We applied flexibly shaped spatial scan statistics and the maximised excess events test on the dataset to detect locally anomalous high-prevalence regions. We also conducted Poisson regression with selected regional indicators. Furthermore, approximately 200 examinees showed positive ultrasound examination results but did not undergo confirmatory testing; thus, we employed simulation-based sensitivity tests to evaluate the possible effect of such undiagnosed cases in the statistical analysis. In conclusion, this study found no significant spatial anomalies/clusters or geographic trends of thyroid cancer prevalence among the ultrasound examinees, indicating that the thyroid cancer cases detected are unlikely to be attributable to regional factors, including radiation exposure resulting from the FNPP accident. |
format | Online Article Text |
id | pubmed-6281575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62815752018-12-07 Spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in Fukushima Prefecture Nakaya, Tomoki Takahashi, Kunihiko Takahashi, Hideto Yasumura, Seiji Ohira, Tetsuya Ohto, Hitoshi Ohtsuru, Akira Midorikawa, Sanae Suzuki, Shinichi Shimura, Hiroki Yamashita, Shunichi Tanigawa, Koichi Kamiya, Kenji Sci Rep Article Following the Fukushima Daiichi Nuclear Power Plant (FNPP) accident on 11 March 2011, there have been concerns regarding the health impacts of the ensuing radioactive environmental contamination, which was spatially heterogeneous. This study aimed to assess the geographical variability of thyroid cancer prevalence among children and adolescents in Fukushima Prefecture. We computed the sex- and age-standardised prevalence ratio using 115 diagnosed or suspected thyroid cancer cases among approximately 300,000 examinees at the first-round ultrasound examination during 2011–2015 from 59 municipalities in the prefecture, under the Fukushima Health Management Survey. We applied flexibly shaped spatial scan statistics and the maximised excess events test on the dataset to detect locally anomalous high-prevalence regions. We also conducted Poisson regression with selected regional indicators. Furthermore, approximately 200 examinees showed positive ultrasound examination results but did not undergo confirmatory testing; thus, we employed simulation-based sensitivity tests to evaluate the possible effect of such undiagnosed cases in the statistical analysis. In conclusion, this study found no significant spatial anomalies/clusters or geographic trends of thyroid cancer prevalence among the ultrasound examinees, indicating that the thyroid cancer cases detected are unlikely to be attributable to regional factors, including radiation exposure resulting from the FNPP accident. Nature Publishing Group UK 2018-12-05 /pmc/articles/PMC6281575/ /pubmed/30518765 http://dx.doi.org/10.1038/s41598-018-35971-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nakaya, Tomoki Takahashi, Kunihiko Takahashi, Hideto Yasumura, Seiji Ohira, Tetsuya Ohto, Hitoshi Ohtsuru, Akira Midorikawa, Sanae Suzuki, Shinichi Shimura, Hiroki Yamashita, Shunichi Tanigawa, Koichi Kamiya, Kenji Spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in Fukushima Prefecture |
title | Spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in Fukushima Prefecture |
title_full | Spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in Fukushima Prefecture |
title_fullStr | Spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in Fukushima Prefecture |
title_full_unstemmed | Spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in Fukushima Prefecture |
title_short | Spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in Fukushima Prefecture |
title_sort | spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in fukushima prefecture |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281575/ https://www.ncbi.nlm.nih.gov/pubmed/30518765 http://dx.doi.org/10.1038/s41598-018-35971-7 |
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