Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation

• Published in: Journal of magnetic resonance imaging Vol. 49; no. 1; pp. 280 - 290
• Main Authors: Liu, Ying, Zhang, Yuwei, Cheng, Runfen, Liu, Shichang, Qu, Fangyuan, Yin, Xiaoyu, Wang, Qin, Xiao, Bohan, Ye, Zhaoxiang
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.01.2019
• Subjects: Adult; Aged; Aged, 80 and over; apparent diffusion coefficient; Biopsy; Cancer; Carcinoma, Squamous Cell - diagnostic imaging; Cervical cancer; Diffusion; Diffusion coefficient; Diffusion Magnetic Resonance Imaging; diffusion‐weighted magnetic resonance imaging; Feature extraction; Female; Field strength; histopathological grade; Human papillomavirus; Humans; Image acquisition; Image Interpretation, Computer-Assisted - methods; Image processing; Image Processing, Computer-Assisted - methods; Image segmentation; Magnetic resonance imaging; Mathematical models; Medical imaging; Middle Aged; Neoplasm Grading; Parameters; Patients; Prospective Studies; Quality; Radiomics; Rank tests; Regression analysis; Reproducibility; Reproducibility of Results; Squamous cell carcinoma; Statistical analysis; Statistical tests; Three dimensional models; Tumors; Two dimensional models; Uterine Cervical Neoplasms - diagnostic imaging; Uterus; apparent diffusion coefficient; radiomics; histopathological grade; cervical cancer; diffusion-weighted magnetic resonance imaging

Background The role of apparent diffusion coefficient (ADC)‐based radiomics features in evaluating histopathological grade of cervical cancer is unresolved. Purpose To determine if there is a difference between radiomics features derived from center‐slice 2D versus whole‐tumor volumetric 3D for ADC...