Ovarian Cancer Diagnosis Methods Develops By Chinese Researchers

Chinese researchers have developed a non-invasive method to differentiate ovarian cancer sub-types,


Which could help improve therapeutic plans, according to the Chinese Academy of Sciences (CAS).

Ovarian cancers can be divided into type I and type II according to etiology and prognosis. Accurate subtype differentiation can help improve treatment plans and prognosis.

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Researchers from the Suzhou Institute of Biomedical Engineering and Technology under the CAS and Jinshan Hospital of Fudan University conducted a multicenter study involving more than 294 ovarian cancer patients, of which 143 were type I and 151 type II.

They collected the Magnetic Resonance Imaging (MRI) of patients and used machine learning method to build a novel MRI-based radiomics model that can differentiate between type I and type II ovarian cancer. The diagnosis has an average accuracy of 83 percent.

This news was originally published at xinhuanet.com

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