Receiver operating characteristic (ROC)-curve of the RLE delayed derived an optimal cut-off value of 66.6% with a sensitivity of 0.833 and a specificity of 0.972 (area under the curve (AUC) 0.92) for distinguishing between fibrosis grade 0–2 and fibrosis grade 3–4.

Sarah Keller (4919749)
Annette Aigner (4794702)
Roman Zenouzi (816754)
Anne C. Kim (4919746)
Arnoud Meijer (4919743)
Sören A. Weidemann (816759)
Till Krech (121538)
Ansgar W. Lohse (393407)
Gerhard Adam (645067)
Christoph Schramm (56055)
Jin Yamamura (4919740)

Publication date

March 2018

DOI

10.1371/journal.pone.0193929.g004

Abstract

<p>Receiver operating characteristic (ROC)-curve of the RLE delayed derived an optimal cut-off value of 66.6% with a sensitivity of 0.833 and a specificity of 0.972 (area under the curve (AUC) 0.92) for distinguishing between fibrosis grade 0–2 and fibrosis grade 3–4.</p

Extracted data

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Data Protection

Receiver operating characteristic (ROC)-curve of the RLE delayed derived an optimal cut-off value of 66.6% with a sensitivity of 0.833 and a specificity of 0.972 (area under the curve (AUC) 0.92) for distinguishing between fibrosis grade 0–2 and fibrosis grade 3–4.

Abstract

Extracted data

Receiver operating characteristic (ROC)-curve of the RLE delayed derived an optimal cut-off value of 66.6% with a sensitivity of 0.833 and a specificity of 0.972 (area under the curve (AUC) 0.92) for distinguishing between fibrosis grade 0–2 and fibrosis grade 3–4.

Abstract

Extracted data

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