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Abstract #1085

Oscillating Gradient Diffusion-Weighted MRI in diagnosing cervical cancer and evaluating the degree of pathological differentiation

Jun jun Li1, Yi Xiao1, Jianxin Guo1, Yanhui Hao1, Rui Zhang1, Yi Zhu2, and Kai Ai3
1The First Affiliated Hospital of Xi'an Jiaotong University, Xi’an, China, 2Philips Healthcare, Beijing, China, 3Philips Healthcare, Xi’an, China

Synopsis

Keywords: Pelvis, Other Diffusion Models, Cervical Cancer;oscillating gradient spin-echo (OGSE);pulsed gradient spin-echo (PGSE); pathological differentiation

Motivation: Oscillating gradient diffusion-weighted imaging (DWI) enables elucidation remains underexplored in the pathological differentiation of cervical cancer.

Goal(s): To investigate the application value of parameters derived from Oscillating Gradient Diffusion-Weighted MRI (ADCPGSE, ADC17Hz, ADC33Hz) in the pathological differentiation of cervical cancer.

Approach: We collected 3 T MRI including DWI using oscillating gradient spin-echo (OGSE) and pulsed gradient spin-echo (PGSE) research sequences from cervical cancer patients, comparing the respective parameters' efficacy in pathological differentiation.

Results: ADC33 Hz outperformed ADCPGSE in cervical squamous carcinoma and Healthy subjects, with combined parameters yielding an AUC of 0.96, sensitivity of 85.71%, and specificity of 96.15% for diagnosis detection.

Impact: This study confirms the advantages of Oscillating Gradient Diffusion-Weighted MRI parameters in the pathological differentiation of cervical cancer, especially for diagnosing cervical cancer, offering greater accuracy than traditional ADCPGSE.

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Keywords