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Arch Iran Med. 2024;27(2): 96-104. doi: 10.34172/aim.2024.15
PMID: 38619033        PMCID: PMC11017260

Original Article

A New Model Including AMH Cut-off Levels to Predict Post-treatment Ovarian Function in Early Breast Cancer: A Prospective Cohort Study

Ramesh Omranipour 1,2,3 ORCID, Fatemeh Ahmadi-Harchegani 4 ORCID, Azin Saberi 5 ORCID, Ashraf Moini 1,6,7 ORCID, Mostafa Shiri 8 ORCID, Amirmohsen Jalaeefar 2 ORCID, Arvin Arian 9 ORCID, Akram Seifollahi 10 ORCID, Mahshad Madani 11 ORCID, Bita Eslami 1 * ORCID, Sadaf Alipour 1,5 * ORCID

Cited by CrossRef: 0

1- Song L, Edib Z, Aickelin U, Akbarzadeh Khorshidi H, Hamy A, Jayasinghe Y, Hickey M, Anderson R, Lambertini M, Condorelli M, Demeestere I, Ignatiadis M, Pistilli B, Su H, Chang S, Pang P, Reyal F, Nelson S, Sukumvanich P, Minisini A, Puglisi F, Ruddy K, Couch F, Olson J, Stern K, Agresta F, Stafford L, Chin-Lenn L, Cui W, Anazodo A, Gorelik A, Nguyen T, Partridge A, Saunders C, Sullivan E, Macheras-Magias M, Peate M. Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast Cancer. Bioengineering. 2025;12(11):1171 [Crossref]

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A Monthly Peer-Reviewed Medical Journal Published by the Academy of Medical Sciences of the I.R. Iran; Indexed in PubMed/MEDLINE, ISI Web of Science, EMBASE, SCOPUS, CINHAL, PASCAL, CSA, SID, ISSN: Print 1029-2977, Online 1735-3947.The impact factor of Archives of Iranian Medicine according to Journal Citation Reports® (JCR®) 2016 is 1.20.