2021
DOI: 10.1164/rccm.202012-4438oc
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Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules

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Cited by 45 publications
(32 citation statements)
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“…Our evaluation of the analytical performance of the CYFRA 21-1 assay in 25% serum is presented in the context of evaluating IPN patient samples. 33 We employed a commercial antibody (Ab) to the target biomarker, CYRFA 21.1 (MyBioSource, San Diego). Characterization and selection of this Ab involved a simple screening experiment with several Ab’s, as described in detail elsewhere.…”
Section: Resultsmentioning
confidence: 99%
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“…Our evaluation of the analytical performance of the CYFRA 21-1 assay in 25% serum is presented in the context of evaluating IPN patient samples. 33 We employed a commercial antibody (Ab) to the target biomarker, CYRFA 21.1 (MyBioSource, San Diego). Characterization and selection of this Ab involved a simple screening experiment with several Ab’s, as described in detail elsewhere.…”
Section: Resultsmentioning
confidence: 99%
“…The data shown here was generated in the context of an ongoing multisite prospectively collected, retrospective blinded evaluation (PROBE) design trail 49 to determine the clinical utility of adding hs-CFRA 21.1 by FSA-CIR as a biomarker to the clinical problem of discrimination of cases from controls in lung cancer patients with indeterminate pulmonary nodules (IPNs). 33 Here, our focus was on the analytical performance of the assay methodology to demonstrate that a manual, first-generation prototype instrument provides excellent performance over multiple days of biomarker analysis research. We are acutely aware that to have an ongoing impact in the clinical setting, refinement of our instrument and assay will be necessary.…”
Section: Discussionmentioning
confidence: 99%
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“…Continuing the theme of digital transformation, artificial intelligence methodologies are also predicted to help address areas of concern for screening, that of overdiagnosis and incidental findings, through optimal management of pulmonary nodules (radiomics and biomarkers 12 ) and by guiding clear and consistent management pathways for incidentally detected comorbidities 13 . The field of deep learning and neural networks is expanding exponentially and is now focussed well beyond simply ‘detecting’ nodules.…”
Section: Figurementioning
confidence: 99%
“…In this issue of the Journal ( 3 ), Kammer and colleagues (pp. 1306–1316 ) evaluated a combined set of biomarkers incorporating clinical data (Mayo; incorporating variables easily available in the medical record and radiology report) ( 4 ), a blood-based biomarker (a high-sensitivity measurement of the cytokeratin fragment 21-1 [hs-CYFRA 21-1]) ( 5 ), and radiomic features extracted from computed tomographic images of the nodule ( 6 ).…”
mentioning
confidence: 99%