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High-resolution reduced field-of-view diffusion-weighted magnetic resonance imaging in the diagnosis of cervical cancer

Lijuan Mao, Xiaoling Zhang, Tingting Chen, Zhoulei Li, Yang Jianyong

2023Quantitative Imaging in Medicine and Surgery10 citationsDOIOpen Access PDF

Abstract

Background: Magnetic resonance imaging (MRI) has now become the best modality for the preoperative staging of cervical cancer. This study was to compare the value of high-resolution reduced field-of-view diffusion-weighted MR imaging (r-FOV DWI) with conventional field-of-view (c-FOV DWI) in the diagnosis of cervical cancer. Methods: Forty-five patients (25 patients with cervical cancer and 20 patients with normal cervix) received magnetic resonance (MR) scans (3.0T), including both r-FOV DWI and c-FOV DWI sequences. The image quality (IQ) of both sequences was subjectively assessed by two attending radiologists using a double-blind method and quantitatively by the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). Moreover, apparent diffusion coefficient (ADC) values for cervical cancer were blindly measured by one technician on the ADC map. Results: /s]. Conclusions: r-FOV DWI can effectively improve the spatial resolution of the image while reducing distortion and artifacts. Furthermore, it can help to diagnose cervical cancer more accurately for the more realistic ADC values.

Topics & Concepts

MedicineMagnetic resonance imagingNuclear medicineEffective diffusion coefficientDiffusion MRICervical cancerImage qualityCohen's kappaRadiologyCancerImage (mathematics)MathematicsComputer scienceArtificial intelligenceInternal medicineStatisticsEndometrial and Cervical Cancer TreatmentsMRI in cancer diagnosisOvarian cancer diagnosis and treatment