Review on the application of MRI functional and quantitative imaging techniques in the diagnosis and treatment of cervical cancer
Cervical cancer (CC) is the fifth most common cancer among women in our country,and the incidence is tending to be younger,which seriously threatens the life and health of women. The treatment plans for different stages and risks are not the same,and with the popularization of fertility preserving surgical treatment,higher requirements are placed on accurate preoperative staging and risk assessment. Magnetic resonance imaging (MRI) is an important method for the diagnosis,staging and efficacy evaluation of CC. However,the diagnosis and evaluation of CC by conventional MRI sequences are limited by subjective experience and lack of objective quantification,resulting in poor accuracy. New technologies,such as MRI functional imaging and quantitative imaging,can provide accurate quantitative information in multiple dimensions,including hemodynamic changes,varies in tissue microstructure,tumor hypoxia environment,cell proliferation and protein metabolism,which can be used for accurate preoperative diagnosis and risk assessment of CC and provide a visual basis for the comprehensive understanding of the pathophysiology and metabolism of tumors. Mining big imaging data by artificial intelligence can help solve clinical problems. This article will review the application progress of MRI functional imaging and quantitative imaging in the diagnosis and treatment of CC,aiming at clinical problems such as the staging,efficacy and recurrence assessment of CC,so as to promote its clinical application and improve the level of diagnosis and treatment.
cervical cancermagnetic resonance imagingpathological featuresmolecular pathologyefficacyprognosisradiomicsartificial intelligencedeep learningprecision medicine
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