View in EDS

Computed tomography-based artificial intelligence for predicting preoperative microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis.

Saved in:
Bibliographic Details
Title: Computed tomography-based artificial intelligence for predicting preoperative microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis.
Authors: Fu B; The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.; Department of Infectious Diseases, Qingdao Public Health Clinical Center, Qingdao, Shandong, China., Zhang P; Department of Infectious Diseases, Qingdao Public Health Clinical Center, Qingdao, Shandong, China., Yu Z; Department of Infectious Diseases, Qingdao Public Health Clinical Center, Qingdao, Shandong, China., Liu L; Department of Internal Medicine, Qingdao Jimo District Hospital of Traditional Chinese Medicine, Jimo District, Qingdao, Shandong, China., Sun J; The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China. jgsunjn@163.com.
Source: La Radiologia medica [Radiol Med] 2026 Apr; Vol. 131 (4), pp. 564-581. Date of Electronic Publication: 2026 Jan 08.
Publication Type: Journal Article; Systematic Review; Meta-Analysis; Review
Journal Info: Publisher: Springer Milan Country of Publication: Italy NLM ID: 0177625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1826-6983 (Electronic) Linking ISSN: 00338362 NLM ISO Abbreviation: Radiol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41505041
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Computed tomography-based artificial intelligence for predicting preoperative microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Fu+B%22">Fu B</searchLink>; The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.; Department of Infectious Diseases, Qingdao Public Health Clinical Center, Qingdao, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Zhang+P%22">Zhang P</searchLink>; Department of Infectious Diseases, Qingdao Public Health Clinical Center, Qingdao, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Yu+Z%22">Yu Z</searchLink>; Department of Infectious Diseases, Qingdao Public Health Clinical Center, Qingdao, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Liu+L%22">Liu L</searchLink>; Department of Internal Medicine, Qingdao Jimo District Hospital of Traditional Chinese Medicine, Jimo District, Qingdao, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Sun+J%22">Sun J</searchLink>; The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China. jgsunjn@163.com.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220177625%22">La Radiologia medica</searchLink> [Radiol Med] 2026 Apr; Vol. 131 (4), pp. 564-581. <i>Date of Electronic Publication: </i>2026 Jan 08.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Systematic Review; Meta-Analysis; Review
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Milan%22">Springer Milan </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>0177625 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1826-6983 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200338362%22">00338362 </searchLink><i>NLM ISO Abbreviation: </i>Radiol Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41505041
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11547-025-02170-0
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 564
    Titles:
      – TitleFull: Computed tomography-based artificial intelligence for predicting preoperative microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fu B
      – PersonEntity:
          Name:
            NameFull: Zhang P
      – PersonEntity:
          Name:
            NameFull: Yu Z
      – PersonEntity:
          Name:
            NameFull: Liu L
      – PersonEntity:
          Name:
            NameFull: Sun J
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: 2026 Apr
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1826-6983
          Numbering:
            – Type: volume
              Value: 131
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: La Radiologia medica
              Type: main
ResultId 1