Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma.
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| Title: | Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma. |
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| Authors: | Yang F; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.; Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University, Stanford University Medical Center, Stanford, CA, USA., Zhang Y; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China., Iv M; Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University, Stanford University Medical Center, Stanford, CA, USA., Wei H; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Wang S; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Li X; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Yu X; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Li L; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Zhao Y; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Xie L; MR Research China, GE Healthcare, Beijing, China., Luo D; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China., Lin M; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. lm152@139.com., Zhang H; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. 13581968865@163.com. |
| Source: | Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2026 May 09; Vol. 26 (1). Date of Electronic Publication: 2026 May 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42106846 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yang+F%22">Yang F</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.; Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University, Stanford University Medical Center, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Iv+M%22">Iv M</searchLink>; Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University, Stanford University Medical Center, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Wei+H%22">Wei H</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.<br /><searchLink fieldCode="AU" term="%22Wang+S%22">Wang S</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.<br /><searchLink fieldCode="AU" term="%22Yu+X%22">Yu X</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.<br /><searchLink fieldCode="AU" term="%22Li+L%22">Li L</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.<br /><searchLink fieldCode="AU" term="%22Zhao+Y%22">Zhao Y</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.<br /><searchLink fieldCode="AU" term="%22Xie+L%22">Xie L</searchLink>; MR Research China, GE Healthcare, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Luo+D%22">Luo D</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Lin+M%22">Lin M</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. lm152@139.com.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. 13581968865@163.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101172931%22">Cancer imaging : the official publication of the International Cancer Imaging Society</searchLink> [Cancer Imaging] 2026 May 09; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 May 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101172931 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1470-7330 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214707330%22">14707330 </searchLink><i>NLM ISO Abbreviation: </i>Cancer Imaging <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42106846 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s40644-026-01041-9 Languages: – Code: eng Text: English Titles: – TitleFull: Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang F – PersonEntity: Name: NameFull: Zhang Y – PersonEntity: Name: NameFull: Iv M – PersonEntity: Name: NameFull: Wei H – PersonEntity: Name: NameFull: Wang S – PersonEntity: Name: NameFull: Li X – PersonEntity: Name: NameFull: Yu X – PersonEntity: Name: NameFull: Li L – PersonEntity: Name: NameFull: Zhao Y – PersonEntity: Name: NameFull: Xie L – PersonEntity: Name: NameFull: Luo D – PersonEntity: Name: NameFull: Lin M – PersonEntity: Name: NameFull: Zhang H IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 05 Text: 2026 May 09 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1470-7330 Numbering: – Type: volume Value: 26 – Type: issue Value: 1 Titles: – TitleFull: Cancer imaging : the official publication of the International Cancer Imaging Society Type: main |
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