Machine learning model integrating CT radiomics and circulating microRNAs to predict residual disease histology in metastatic non-seminoma testicular cancer (mNSTC).

Authors

Kim N. Chi (ORCID: https://orcid.org/0000-0002-3782-7226)
Corinne Maurice‐Dror (ORCID: https://orcid.org/0000-0003-4455-4497)
Nastaran Khazamipour
Ka Mun Nip
Gizem Özcan (ORCID: https://orcid.org/0000-0001-9063-4063)
Arman Rahmim (ORCID: https://orcid.org/0000-0002-9980-2403)
Robert H. Bell (ORCID: https://orcid.org/0000-0002-2456-0972)
Craig R. Nichols (ORCID: https://orcid.org/0000-0002-6256-1511)
Ren Yuan
Güliz Özgün (ORCID: https://orcid.org/0000-0002-9575-8214)
Lucia Nappi (ORCID: https://orcid.org/0000-0002-4365-7251)
Christian Kollmannsberger (ORCID: https://orcid.org/0000-0002-6329-761X)
Bernhard J. Eigl (ORCID: https://orcid.org/0000-0003-1653-6929)
Neda Abdalvand (ORCID: https://orcid.org/0000-0002-5163-1246)
Maryam Soleimani

Institutions

BC Cancer Agency (CA)
University of British Columbia (CA)
Testicular Cancer Commons (US)

Publication Details

Journal: Journal of Clinical Oncology
Published: 2025-02-10
DOI: https://doi.org/10.1200/jco.2025.43.5_suppl.647
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 0.00

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article

Machine learning model integrating CT radiomics and circulating microRNAs to predict residual disease histology in metastatic non-seminoma testicular cancer (mNSTC).

Kim N. Chi, Corinne Maurice‐Dror, Nastaran Khazamipour, Ka Mun Nip et al.

Feb 10, 2025

1 links

Journal of Clinical Oncology

Radiomics and Machine Learning in Medical Imaging

article

Machine learning model integrating CT radiomics and circulating microRNAs to predict residual disease histology in metastatic non-seminoma testicular cancer (mNSTC).

Kim N. Chi, Corinne Maurice‐Dror, Nastaran Khazamipour, Ka Mun Nip, Gizem Özcan, Arman Rahmim, Robert H. Bell, Craig R. Nichols, Ren Yuan, Güliz Özgün, Lucia Nappi, Christian Kollmannsberger, Bernhard J. Eigl, Neda Abdalvand, Maryam Soleimani

February 10, 2025article en

Abstract

No abstract available for this paper.

Journal of Clinical OncologyVol. 43(5_suppl)

BC Cancer Agency (CA), University of British Columbia (CA), Testicular Cancer Commons (US)

Openalex Percentile: Top 95%

Radiomics and Machine Learning in Medical Imaging

DOI Source OpenAlex

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Machine learning model integrating CT radiomics and circulating microRNAs to predict residual disease histology in metastatic non-seminoma testicular cancer (mNSTC). — Kim N. Chi, Corinne Maurice‐Dror, et al. · Journal of Clinical Oncology (2025) | TGRS Research Map | TGRS