MRI-derived radiomics analysis improves the noninvasive pretreatment identification of multimodality therapy candidates with early-stage cervical cancer.
| Publicado en: | European Radiology Vol. 32; no. 6; pp. 3985 - 3996 |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157006534&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157006534 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jun2022 vid: 32 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 157006534 154616954 10.1007/s00330-021-08463-y 157006534 ppf: 3985 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: MRI-derived radiomics analysis improves the noninvasive pretreatment identification of multimodality therapy candidates with early-stage cervical cancer. aug: au: Li, Yuan Ren, Jing Yang, Jun-Jun Cao, Ying Xia, Chen Lee, Elaine Y. P. Chen, Bo Guan, Hui Qi, Ya-Fei Gao, Xin Tang, Wen Chen, Kuan Jin, Zheng-Yu He, Yong-Lan Xiang, Yang Xue, Hua-Dan affil: Department of OB&GYN, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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