2021
DOI: 10.3343/alm.2021.41.3.339
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Algorithm using Neuron-Specific Enolase and Pro-Gastrin-Releasing Peptide to Increase the Diagnostic Accuracy for Small Cell Lung Cancer

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Cited by 2 publications
(2 citation statements)
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“…A large‐scale study successfully constructed a LC risk model with CYFRA21‐1, SCC‐Ag, proGRP, and CEA as the analysis objects, which was demonstrated to have a good predictive effect for early LC and pulmonary nodules [ 74 ]. Lee et al [ 75 ] used NSE and proGRP to increase diagnostic accuracy for SCLC. By maintaining the high diagnostic specificity of proGRP, this improved its relatively low sensitivity from 75% to 87.5%.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…A large‐scale study successfully constructed a LC risk model with CYFRA21‐1, SCC‐Ag, proGRP, and CEA as the analysis objects, which was demonstrated to have a good predictive effect for early LC and pulmonary nodules [ 74 ]. Lee et al [ 75 ] used NSE and proGRP to increase diagnostic accuracy for SCLC. By maintaining the high diagnostic specificity of proGRP, this improved its relatively low sensitivity from 75% to 87.5%.…”
Section: Discussionmentioning
confidence: 99%
“…good predictive effect for early LC and pulmonary nodules [74]. Lee et al [75] used NSE and proGRP to increase diagnostic accuracy for SCLC. By maintaining the high diagnostic specificity of proGRP, this improved its relatively low sensitivity from 75% to 87.5%.…”
Section: Methods To Improve Diagnostic Sensitivity and Specificitymentioning
confidence: 99%