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Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports
by
Noguchi, Tomoyuki
, Kamei, Ryotaro
, Yamashita, Koji
, Maehara, Junki
, Adachi, Saki
, Okada, Yasushi
, Furuya, Kiyomi
, Harada, Shino
, Matsuura, Shuji
in
Abdomen
/ Classification
/ Clinical outcomes
/ Hospitals
/ Inflammation
/ Lesions
/ Lungs
/ Magnetic resonance imaging
/ Matching concept
/ Neck
/ Nuclear medicine
/ Radiography
/ Radiology
/ Terminology
/ Tomography
2023
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Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports
by
Noguchi, Tomoyuki
, Kamei, Ryotaro
, Yamashita, Koji
, Maehara, Junki
, Adachi, Saki
, Okada, Yasushi
, Furuya, Kiyomi
, Harada, Shino
, Matsuura, Shuji
in
Abdomen
/ Classification
/ Clinical outcomes
/ Hospitals
/ Inflammation
/ Lesions
/ Lungs
/ Magnetic resonance imaging
/ Matching concept
/ Neck
/ Nuclear medicine
/ Radiography
/ Radiology
/ Terminology
/ Tomography
2023
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Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports
by
Noguchi, Tomoyuki
, Kamei, Ryotaro
, Yamashita, Koji
, Maehara, Junki
, Adachi, Saki
, Okada, Yasushi
, Furuya, Kiyomi
, Harada, Shino
, Matsuura, Shuji
in
Abdomen
/ Classification
/ Clinical outcomes
/ Hospitals
/ Inflammation
/ Lesions
/ Lungs
/ Magnetic resonance imaging
/ Matching concept
/ Neck
/ Nuclear medicine
/ Radiography
/ Radiology
/ Terminology
/ Tomography
2023
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Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports
Journal Article
Analysis of “visible in retrospect” to monitor false-negative findings in radiological reports
2023
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Overview
PurposeFalse-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”.MethodsIn 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.ResultsOf 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.ConclusionOur 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.
Publisher
Springer Nature B.V
Subject
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