2021
DOI: 10.3390/biom11111721
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Real-World Diagnostic Accuracy and Use of Immunohistochemical Markers in Lung Cancer Diagnostics

Abstract: Objectives: Accurate and reliable diagnostics are crucial as histopathological type influences selection of treatment in lung cancer. The aim of this study was to evaluate real-world accuracy and use of immunohistochemical (IHC) staining in lung cancer diagnostics. Materials and Methods: The diagnosis and used IHC stains for small specimens with lung cancer on follow-up resection were retrospectively investigated for a 15-month period at two major sites in Sweden. Additionally, 10 pathologists individually sug… Show more

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Cited by 3 publications
(2 citation statements)
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“…We also calculated the disease stage of these patients based on authoritative international standards and TNM standards. [ 26 ] Using Image J, we scanned images from the immunohistological examination [ 27 ] to determine the staining area and integrated optical density (IOD). Following this, we used the ratio of the 2 values to calculate the mean optical density (MOD), which is positively associated with the staining intensity of the tissue.…”
Section: Methodsmentioning
confidence: 99%
“…We also calculated the disease stage of these patients based on authoritative international standards and TNM standards. [ 26 ] Using Image J, we scanned images from the immunohistological examination [ 27 ] to determine the staining area and integrated optical density (IOD). Following this, we used the ratio of the 2 values to calculate the mean optical density (MOD), which is positively associated with the staining intensity of the tissue.…”
Section: Methodsmentioning
confidence: 99%
“…The most accurate and sensitive squamous division marker has been P-40 [ 11 ]. Several studies have evaluated the accuracy of IHC staining using tissue microarrays [ 12 ]. There hasn't been much discussion in the literature about how IHC on the TCB determines the correct classification in these cancers [ 13 ].…”
Section: Introductionmentioning
confidence: 99%