Na Ding

No ORCID on file · 4 papers in corpus · active 2022-2024

Study types

  • article 2
  • dataset 1
  • preprint 1

Condition tags

  • dysmenorrhea 4
  • adenomyosis 4
  • mesh:D004412 2
article 2024
Magnetic Resonance Imaging-Based Classifications for Symptom of Adenomyosis
Gynecologic and obstetric investigation ·doi:10.1159/000535802

OBJECTIVES: The aim of the study was to identify an optimal magnetic resonance imaging (MRI)-based classification for the severity of adenomyosis and explore the factors associated with disease severity (dysmenorrhea or menorrhagia). DESIGN…

dataset 2024
Supplementary Material for: Magnetic resonance imaging-based Classifications for Symptom of Adenomyosis
·doi:10.6084/m9.figshare.25013312

Objectives: To identify an optimal magnetic resonance imaging (MRI)-based classification for the severity of adenomyosis and explore the factors associated with disease severity (dysmenorrhea or menorrhagia). Design and Participants: Severa…

article 2023
Magnetic Resonance Imaging‐Based Classification Systems for Informing Better Outcomes of Adenomyosis After Ultrasound‐Guided High‐Intensity Focused Ultrasound Ablating Surgery
Journal of magnetic resonance imaging : JMRI ·doi:10.1002/jmri.28943

BACKGROUND: A referenced MRI-based classification associated with focused ultrasound ablation surgery (FUAS) outcomes is lacking in adenomyosis. PURPOSE: To identify an MRI-based classification system for informing the FUAS outcomes. STUDY …

preprint 2022
Identification of an optimal magnetic resonance imaging-based classification for evaluating efficacy of ultrasound-guided high-intensity focused ultrasound
·doi:10.22541/au.166443851.13855469/v1

Objective: To identify an optimal magnetic resonance imaging-based classification for evaluating the efficacy of focused ultrasound ablation surgery (FUAS). Design：A retrospective cohort study. Setting: The Affiliated Nanchong Central Hospi…