Abstract #1960

Prediction of brain invasion in meningioma by preoperative MRI based on U-NET and DenseNet convolutional neural network

Juan Yu¹, Yujian Liu², kan Deng³, Fan Lin⁴, Guanghui Yue², Jie Du², and Liangping Luo⁵

¹Radiology Department, Shenzhen Second People's Hospital, Shenzhen, China, ²Shenzhen University, Shenzhen, China, ³Philips Healthcare, Guangzhou, China, ⁴Shenzhen Second People's Hospital, Shenzhen, China, ⁵The First Affiliated Hospital of Jinan University, Guangzhou, China

Synopsis

Keywords: Tumors, Tumor, meningiomaThe new guidelines suggest that brain invasion is not a unique feature of malignant meningiomas, but may be a pathologic condition of benign meningiomas with a potential risk of recurrence. However, maximum preservation of normal brain tissue is essential for surgery. Accurate preoperative MRI evaluation of meningioma brain invasion is expected to solve the dilemma faced by neurosurgeons.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.