Chinese expert consensus statement on the clinical application of AFP/AFP‐L3%/DCP using GALAD and GALAD‐like algorithm in HCC
Background Primary hepatocellular carcinoma (HCC) is one of the most prevalent world‐wide malignancies. Half of the newly developed HCC occurs in China. Optimizing the strategies for high‐risk surveillance and early diagnosis are pivotal for improving 5‐year survival. Constructing the scientific non...
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Published in | Journal of clinical laboratory analysis Vol. 37; no. 23-24; pp. e24990 - n/a |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
John Wiley & Sons, Inc
01.12.2023
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Background
Primary hepatocellular carcinoma (HCC) is one of the most prevalent world‐wide malignancies. Half of the newly developed HCC occurs in China. Optimizing the strategies for high‐risk surveillance and early diagnosis are pivotal for improving 5‐year survival. Constructing the scientific non‐invasive detection technologies feasible for medical and healthcare institutions is among the key routes for elevating the efficacies of HCC identification and follow‐up.
Results
Based on the Chinese and international guidelines, expert consensus statements, literatures and evidence‐based clinical practice experiences, this consensus statement puts forward the clinical implications, application subjects, detection techniques and results interpretations of the triple‐biomarker (AFP, AFP‐L3%, DCP) based GALAD, GALAD like models for liver cancer.
Conclusions
The compile of this consensus statement aims to address and push the reasonable application of the triple‐biomarker (AFP, AFP‐L3%, DCP) detections thus to maximize the clinical benefits and help improving the high risk surveillance, early diagnosis and prognosis of HCC. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0887-8013 1098-2825 1098-2825 |
DOI: | 10.1002/jcla.24990 |