Skip to content
DraconiticResearch
Search Sources API
181,713 studies31 sourcesUpdated 30 min ago
Peer-reviewedCC BYCancers

Multi-Scale MRI, Radiology Reports, and Blood Biomarker–Guided Multimodal Deep Learning for Predicting Postoperative Recurrence in Cervical Cancer: A Multicenter Study

5 affiliations
  1. 1Department of Radiation and Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
  2. 2Cixi Biomedical Research Institute, Wenzhou Medical University, Wenzhou 325000, China
  3. 3Department of Radiotherapy, The Second Affiliated Hospital & Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325000, China
  4. 4Department of Radiotherapy, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou 324000, China
  5. 5Department of Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China

Related

  1. Performance and incremental value of preoperative multimodal imaging and perioperative clinical characteristics in predicting postoperative major adverse events in type A aortic dissection
    Qing-Tao Wang, Qiang-Qiang You, Fa Shu +4
    Quantitative imaging in medicine and surgeryPeer-reviewedCC BY-NC-NDFull textMedical imaging & radiologyEurope PMC
  2. Left ventricular myxoma diagnosed by multimodal cardiac imaging with postoperative recurrence: a case report.
    Xiuling Wang, Ping Chen, Yun Mou
    Journal of cardiothoracic surgeryPeer-reviewedCC BY-NC-NDFull textCardiovascular medicineEurope PMCDOAJ
  3. Development and multicenter validation of a machine learning model for predicting in-hospital postoperative cardiac arrest in elderly surgical patients: the critical role of intraoperative hemodynamic disturbances and blood transfusion.
    Xi Chen, Yuwei Chang, Tao Sun +5
    Frontiers in medicinePeer-reviewedCC BYFull textCardiovascular medicineEurope PMCPMC
  4. Transformer-Based Deep Learning Integrating Multi-Regional MRI and Clinical Features for Predicting Biochemical Recurrence After Radical Prostatectomy: A Multicenter Study.
    Mengting Zhou, Kang Lu, Yuhua Liu +6
    Cancer medicinePeer-reviewedCC BY-NC-NDFull textMedical imaging & radiologyEurope PMC
  5. A nomogram integrating YTHDC2 expression and clinicopathological parameters for predicting endometrial cancer recurrence: a multicenter retrospective study
    Yu Gong, Lamei Hou, Jie Xiong +4
    Frontiers in OncologyPeer-reviewedCC BY 4.0Full textObstetrics, gynaecology & paediatricsCrossrefEurope PMCPMCEurope PMC
BibTeX
@article{wu2026multiscale,
  title = {{Multi-Scale MRI, Radiology Reports, and Blood Biomarker–Guided Multimodal Deep Learning for Predicting Postoperative Recurrence in Cervical Cancer: A Multicenter Study}},
  author = {Yiyang Wu and Yao Ai and Yangyang Zhang and Long Zhang and Yifan Yang and Wenping Zhao and Ji Zhang and Yimou Fu and Jianping Wu and Yan Hu and Xiance Jin},
  journal = {Cancers},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13664258},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Multi-Scale MRI, Radiology Reports, and Blood Biomarker–Guided Multimodal Deep Learning for Predicting Postoperative Recurrence in Cervical Cancer: A Multicenter Study
AU  - Yiyang Wu
AU  - Yao Ai
AU  - Yangyang Zhang
AU  - Long Zhang
AU  - Yifan Yang
AU  - Wenping Zhao
AU  - Ji Zhang
AU  - Yimou Fu
AU  - Jianping Wu
AU  - Yan Hu
AU  - Xiance Jin
PY  - 2026
DA  - 2026/09/22
JO  - Cancers
UR  - https://europepmc.org/article/PMC/PMC13664258
SN  - 2072-6694
ER  -