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Peer-reviewedCC BY-NC-NDQuantitative imaging in medicine and surgery

Prediction of late-pregnancy pelvic floor dysfunction: a nomogram model based on proton density fat fraction and synthetic magnetic resonance imaging

  • Yanni Zeng1
  • Juanting Wang1
  • Haiyan Shi1
  • Ruomi Guo2
  • Xueying Zhao3
  • Yan Li1
  • Yu Zhou1
  • Hongsheng Wu4
  • Yong Hong1
4 affiliations
  1. 1Department of Radiology , Huadu District People’s Hospital of Guangzhou , Guangzhou , ;
  2. 2Department of Radiology , The Third Affiliated Hospital of Sun Yat-sen University , Guangzhou , ;
  3. 3MR Research , GE Healthcare , Beijing , ;
  4. 4Hepatobiliary Pancreatic Surgery Department , Huadu District People’s Hospital of Guangzhou , Guangzhou ,
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Cite

BibTeXRIS
BibTeX
@article{zeng2026prediction,
  title = {{Prediction of late-pregnancy pelvic floor dysfunction: a nomogram model based on proton density fat fraction and synthetic magnetic resonance imaging}},
  author = {Yanni Zeng and Juanting Wang and Haiyan Shi and Ruomi Guo and Xueying Zhao and Yan Li and Yu Zhou and Hongsheng Wu and Yong Hong},
  journal = {Quantitative imaging in medicine and surgery},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13654113},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Prediction of late-pregnancy pelvic floor dysfunction: a nomogram model based on proton density fat fraction and synthetic magnetic resonance imaging
AU  - Yanni Zeng
AU  - Juanting Wang
AU  - Haiyan Shi
AU  - Ruomi Guo
AU  - Xueying Zhao
AU  - Yan Li
AU  - Yu Zhou
AU  - Hongsheng Wu
AU  - Yong Hong
PY  - 2026
DA  - 2026/09/17
JO  - Quantitative imaging in medicine and surgery
UR  - https://europepmc.org/article/PMC/PMC13654113
SN  - 2223-4292
SN  - 2223-4306
ER  -