Ultrasound feature-based predictive model for prognostic assessment and treatment strategy optimization in fetal sacrococcygeal teratoma.

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Title: Ultrasound feature-based predictive model for prognostic assessment and treatment strategy optimization in fetal sacrococcygeal teratoma.
Authors: Zou, Qingguo1 (AUTHOR), Dong, Jian1 (AUTHOR), Wu, Gengcong1 (AUTHOR), Wang, Minyan2 (AUTHOR), Fu, Xiaofeng2 (AUTHOR), Zeng, Zeng3 (AUTHOR), Zhu, Jiang2 (AUTHOR) zhujiang1046@zju.edu.cn
Source: Oncologie (De Gruyter). Jul2025, Vol. 27 Issue 4, p531-544. 14p.
Database: Academic Search Ultimate
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An: 186955915
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  Data: Ultrasound feature-based predictive model for prognostic assessment and treatment strategy optimization in fetal sacrococcygeal teratoma.
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  Data: <searchLink fieldCode="JN" term="%22Oncologie+%28De+Gruyter%29%22">Oncologie (De Gruyter)</searchLink>. Jul2025, Vol. 27 Issue 4, p531-544. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186955915
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1515/oncologie-2025-0118
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 531
    Titles:
      – TitleFull: Ultrasound feature-based predictive model for prognostic assessment and treatment strategy optimization in fetal sacrococcygeal teratoma.
        Type: main
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          Name:
            NameFull: Zou, Qingguo
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            NameFull: Dong, Jian
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            NameFull: Wu, Gengcong
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            NameFull: Wang, Minyan
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            NameFull: Fu, Xiaofeng
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            NameFull: Zeng, Zeng
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            NameFull: Zhu, Jiang
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          Dates:
            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 27
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            – TitleFull: Oncologie (De Gruyter)
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