Predicting Ki-67 expression in hepatocellular carcinoma: nomogram based on clinical factors and contrast-enhanced ultrasound radiomics signatures
Author:
Funder
High-end Foreign Experts Introduction Program of the Ministry of Science and Technology
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00261-024-04191-1.pdf
Reference51 articles.
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2. Konyn P, Ahmed A, Kim D (2021) Current epidemiology in hepatocellular carcinoma. Expert Rev Gastroenterol Hepatol. 15:1295-1307.
3. Chan AWH, Zhong J, Berhane S, Toyoda H, Cucchetti A, Shi K, et al (2018) Development of pre and post-operative models to predict early recurrence of hepatocellular carcinoma after surgical resection. J Hepatol. 69:1284-1293.
4. Brar G, Greten TF, Graubard BI, McNeel TS, Petrick JL, McGlynn KA, et al (2020) Hepatocellular carcinoma survival by etiology: a SEER-Medicare database analysis. Hepatol Commun. 4:1541-1551.
5. Schmilovitz-Weiss H, Tobar A, Halpern M, Levy I, Shabtai E, Ben-Ari Z (2011) Tissue expression of squamous cellular carcinoma antigen and Ki67 in hepatocellular carcinoma-correlation with prognosis: a historical prospective study. Diagn Pathol. 6:121.
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1. MRI radiomics-based interpretable model and nomogram for preoperative prediction of Ki-67 expression status in primary central nervous system lymphoma;Frontiers in Medicine;2024-06-27
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