Abstract #4284

Diffusion-kurtosis based texture features for differential diagnosis between prostate cancer and benign prostatic hyperplasia

Yunsong Liu¹, Ailian Liu¹, Lihua Chen¹, Jiazheng Wang², Liangjie Lin², and Xiaoxiao Zhang²

¹The First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Philips Healthcare, Beijing, China

Synopsis

The differential diagnosis between prostate cancer (PCa) and benign prostatic hyperplasia (BPH) remains challenging due to their overlapping atypical clinical symptoms and MRI features. This study aims to explore the performance of mean kurtosis (MK) based texture features in differentiation between PCa and BPH. Results show that the MK texture features can help distinguish PCa and BPH. The 90Percentile MK value show the best diagnostic performance (AUC: 0.93; sensitivity: 88%; specificity: 100%).

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.