Výsledky vyhledávání - "Sonia Skamene"

Akademický článek

Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest

Autor: Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Haley Patrick, Aixa X. Andrade Hernandez, Marc David, John Kildea

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)

Abstract Radiomics-based machine learning classifiers have shown potential for detecting bone metastases (BM) and for evaluating BM response to radiotherapy (RT). However, current radiomics models require large datasets of images with expert-segmente

Externí odkaz: https://doaj.org/article/c2cbb7edd16247248a9108df335532c6

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Akademický článek

A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study

Autor: Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Marc David, John Kildea

Publikováno v: JMIR AI, Vol 2, p e44779 (2023)

BackgroundThe identification of objective pain biomarkers can contribute to an improved understanding of pain, as well as its prognosis and better management. Hence, it has the potential to improve the quality of life of patients with cancer. Artific

Externí odkaz: https://doaj.org/article/394fac4e6fd945bea2b2474772d667e6

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Akademický článek

Cutaneous T-cell lymphoma developing in surgical scars post cardiac surgery: A case study

Autor: Sarah J Touyz, Feras M Ghazawi, Elena Netchiporouk, Gizelle Popradi, René P Michel, Sonia Skamene, Christine Lambert, Tarek Hijal, Ivan V Litvinov

Publikováno v: SAGE Open Medical Case Reports, Vol 11 (2023)

Cutaneous T-cell lymphomas are a class of non-Hodgkin lymphomas characterized by the infiltration of malignant T cells into the skin. Their precise pathogenesis remains incompletely understood, but persistent and specific antigen stimulation of skin-

Externí odkaz: https://doaj.org/article/ebbb306902df46aeb357496b7dcca9c6

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Clinicopathologic features of breast cancers diagnosed in women treated with prior radiation therapy for Hodgkin lymphoma: Results from a population‐based cohort

Autor: Stephanie M. Wong, Lissa Ajjamada, Anna C. Weiss, Ipshita Prakash, Sonia Skamene, Jean Francois Boileau, Michael N. Pollak, Mark Basik

Publikováno v: Cancer. 128:1365-1372

Childhood and young adult survivors of Hodgkin lymphoma (HL) are at elevated risk of developing breast cancer, yet little data exist on the tumor characteristics that develop in this high-risk patient population.The National Cancer Institute's Survei

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::212bcb980573e1b077e75b9b017e4e78
https://doi.org/10.1002/cncr.34065

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A radiomics-based machine learning pipeline to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest

Autor: Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Haley Patrick, Aixa X Andrade, Marc David, John Kildea

Radiomics-based machine learning classifiers have shown potential for detecting bone metastases (BM) and for evaluating BM response to radiotherapy (RT). However, current radiomics pipelines require large datasets of images with expert-segmented 3D r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::382c185ad86510f3ac61c25dd5a2f6bf
https://doi.org/10.21203/rs.3.rs-1446196/v1

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Surgical Management and Contralateral Breast Cancer Risk in Women with History of Radiation Therapy for Hodgkin Lymphoma: Results from a Population-Based Cohort

Autor: Elisheva R. Eisenberg, Anna Weiss, Ipshita Prakash, Sonia Skamene, Mark Basik, Jean Francois Boileau, Lissa Ajjamada, Michael N. Pollak, Stephanie M. Wong

Publikováno v: Annals of surgical oncology. 29(11)

Women with history of chest irradiation for Hodgkin lymphoma are at increased risk of developing bilateral breast cancer, although contralateral breast cancer risk estimates in this population remain undefined.We queried the SEER database for women t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6290fc00bd4ff135004c6584fa89f33e
https://pubmed.ncbi.nlm.nih.gov/35668306

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