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PO-1783 Leverage radiomic and clinical data in predicting SRS treatment outcomes in patients with brain mets.

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Title: PO-1783 Leverage radiomic and clinical data in predicting SRS treatment outcomes in patients with brain mets.
Authors: Carloni, G. (AUTHOR), Marvaso, G. (AUTHOR), Garibaldi, C. (AUTHOR), Zaffaroni, M. (AUTHOR), Volpe, S. (AUTHOR), Pepa, M. (AUTHOR), Raimondi, S. (AUTHOR), Lo Presti, G. (AUTHOR), Positano, V. (AUTHOR), Orecchia, R. (AUTHOR), Jereczek-Fossa, B.A. (AUTHOR)
Source: Radiotherapy & Oncology. 2022 Supplement 1, Vol. 170, pS1590-S1591. 2p.
Subjects: Treatment effectiveness, Forecasting
Database: Engineering Source
FullText Text:
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DbLabel: Engineering Source
An: 157252175
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: PO-1783 Leverage radiomic and clinical data in predicting SRS treatment outcomes in patients with brain mets.
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  Data: <searchLink fieldCode="JN" term="%22Radiotherapy+%26+Oncology%22">Radiotherapy & Oncology</searchLink>. 2022 Supplement 1, Vol. 170, pS1590-S1591. 2p.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=157252175
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/S0167-8140(22)03747-1
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      – Code: eng
        Text: English
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        PageCount: 2
        StartPage: S1590
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      – SubjectFull: Treatment effectiveness
        Type: general
      – SubjectFull: Forecasting
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    Titles:
      – TitleFull: PO-1783 Leverage radiomic and clinical data in predicting SRS treatment outcomes in patients with brain mets.
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            NameFull: Carloni, G.
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            – D: 02
              M: 05
              Text: 2022 Supplement 1
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 01678140
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              Value: 170
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            – TitleFull: Radiotherapy & Oncology
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