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Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports
PURPOSE: False-negative findings in radiological reports can lead to serious adverse patient outcomes. We determined the frequency and tendency of false-negative findings in radiological reports by searching for words related to “visible in retrospect”. METHODS: In the period of 34 months, we extrac...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889478/ https://www.ncbi.nlm.nih.gov/pubmed/36121624 http://dx.doi.org/10.1007/s11604-022-01338-2 |
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author | Noguchi, Tomoyuki Yamashita, Koji Matsuura, Shuji Kamei, Ryotaro Maehara, Junki Furuya, Kiyomi Harada, Shino Adachi, Saki Okada, Yasushi |
author_facet | Noguchi, Tomoyuki Yamashita, Koji Matsuura, Shuji Kamei, Ryotaro Maehara, Junki Furuya, Kiyomi Harada, Shino Adachi, Saki Okada, Yasushi |
author_sort | Noguchi, Tomoyuki |
collection | PubMed |
description | PURPOSE: False-negative findings in radiological reports can lead to serious adverse patient outcomes. We determined the frequency and tendency of false-negative findings in radiological reports by searching for words related to “visible in retrospect”. METHODS: In the period of 34 months, we extracted radiological reports containing words related to “visible in retrospect”. Of these reports, we extracted false-negative findings that were not described in past reports and were first detected retrospectively. Misinterpretations were excluded. The occurrences of the terms that we identified were analyzed by all examinations, modality, month, and anatomical and lesion classifications were analyzed. RESULTS: Of the 135,251 examinations, 941 reports (0.71%) with 962 findings were detected, with an average of 1.4 findings per business day. By modality, 713 of 81,899 (0.87%) CT examinations, 208 of 36,174 (0.57%) MR, 34 of 9,585 (0.35%) FDG-PET-CT, 2 of 2,258 (0.09%) digital radiography, and 5 of 5,335 (0.09%) other nuclear medicine examinations were found. By anatomical classification, there were 383 (40%) in chest, 353 (37%) in abdomen, 162 (17%) in head, 42 (4.4%) in face and neck, 9 (0.93%) in extremity, and 13 (1.4%) in others. By lesion classification, we identified 665 (69%) for localized lesion, 170 (18%) for vascular lesion, 83 (8.6%) for inflammatory lesion, 14 (1.5%) for traumatic lesion, 12 (1.2%) for organ dysfunction, 11 (1.1%) for degenerative lesion, and 7 (0.7%) for the others. Notable high-frequency specific site diseases by modality were 210 (22%) of localized lesions in lung on CT. CONCLUSION: Our results demonstrated that missed lung localized lesions on CT, which account for about a fifth of false-negative findings, were the most common false-negative finding. |
format | Online Article Text |
id | pubmed-9889478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-98894782023-02-02 Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports Noguchi, Tomoyuki Yamashita, Koji Matsuura, Shuji Kamei, Ryotaro Maehara, Junki Furuya, Kiyomi Harada, Shino Adachi, Saki Okada, Yasushi Jpn J Radiol Original Article PURPOSE: False-negative findings in radiological reports can lead to serious adverse patient outcomes. We determined the frequency and tendency of false-negative findings in radiological reports by searching for words related to “visible in retrospect”. METHODS: In the period of 34 months, we extracted radiological reports containing words related to “visible in retrospect”. Of these reports, we extracted false-negative findings that were not described in past reports and were first detected retrospectively. Misinterpretations were excluded. The occurrences of the terms that we identified were analyzed by all examinations, modality, month, and anatomical and lesion classifications were analyzed. RESULTS: Of the 135,251 examinations, 941 reports (0.71%) with 962 findings were detected, with an average of 1.4 findings per business day. By modality, 713 of 81,899 (0.87%) CT examinations, 208 of 36,174 (0.57%) MR, 34 of 9,585 (0.35%) FDG-PET-CT, 2 of 2,258 (0.09%) digital radiography, and 5 of 5,335 (0.09%) other nuclear medicine examinations were found. By anatomical classification, there were 383 (40%) in chest, 353 (37%) in abdomen, 162 (17%) in head, 42 (4.4%) in face and neck, 9 (0.93%) in extremity, and 13 (1.4%) in others. By lesion classification, we identified 665 (69%) for localized lesion, 170 (18%) for vascular lesion, 83 (8.6%) for inflammatory lesion, 14 (1.5%) for traumatic lesion, 12 (1.2%) for organ dysfunction, 11 (1.1%) for degenerative lesion, and 7 (0.7%) for the others. Notable high-frequency specific site diseases by modality were 210 (22%) of localized lesions in lung on CT. CONCLUSION: Our results demonstrated that missed lung localized lesions on CT, which account for about a fifth of false-negative findings, were the most common false-negative finding. Springer Nature Singapore 2022-09-19 2023 /pmc/articles/PMC9889478/ /pubmed/36121624 http://dx.doi.org/10.1007/s11604-022-01338-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Noguchi, Tomoyuki Yamashita, Koji Matsuura, Shuji Kamei, Ryotaro Maehara, Junki Furuya, Kiyomi Harada, Shino Adachi, Saki Okada, Yasushi Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports |
title | Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports |
title_full | Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports |
title_fullStr | Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports |
title_full_unstemmed | Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports |
title_short | Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports |
title_sort | analysis of “visible in retrospect” to monitor false-negative findings in radiological reports |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889478/ https://www.ncbi.nlm.nih.gov/pubmed/36121624 http://dx.doi.org/10.1007/s11604-022-01338-2 |
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