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Radiomic-Based Prediction of Lesion-Specific Systemic Treatment Response in Metastatic Disease

medRxiv(2023)10.1101/2023.09.22.23294942Source: DataRank Database

Radiomic-Based Prediction of Lesion-Specific Systemic Treatment Response in Metastatic Disease is a research paper published in medRxiv (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (30)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (6)

Farnoosh Abbas‐Aghababazadeh ORCID,Andrés Kohan ORCID,Scott M. Schuetze ORCID,David Shultz ORCID,Benjamin Haibe‐Kains ORCID

Live enrichment

PubMed:37873411 OpenAlex:https://openalex.org/W4386998495

National Institutes of Health

Grant: 1P50CA272170-01

Genetics and Genomics of Leiomyosarcoma (LMS): Improved understanding of cancer biology and new approaches to diagnosis and treatment

NCI NIH HHS

Grant: P50 CA272170

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2023/10/13/2023.09.22.23294942.full.pdf

GREENhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593058

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2024/08/13/2023.09.22.23294942.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.09.22.23294942

repositoryhttp://dx.doi.org/10.1101/2023.09.22.23294942

Fields of Study

Radiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and ApplicationsHepatocellular Carcinoma Treatment and PrognosisMedicine03 medical and health sciences0302 clinical medicine

Keywords

MedicineSystemic therapyDiseaseLesionOncologyInternal medicineRadiologyPathologyCancerLeiomyosarcomaMaleLung NeoplasmsTreatment OutcomeRadiomicsDisease ProgressionHumansFemaleMiddle AgedTomography, X-Ray ComputedArticleComputed tomographyMetastasisSarcomaTreatment response prediction

Sustainable Development Goals

SDG 0: Good health and well-being