Machine learning-based prediction of invisible intraprostatic prostate cancer lesions on 68 Ga-PSMA-11 PET/CT in patients with primary prostate cancer.

Purpose: 68 Ga-PSMA PET/CT has high specificity and sensitivity for the detection of both intraprostatic tumor focal lesions and metastasis. However, approximately 10% of primary prostate cancer are invisible on PSMA-PET (exhibit no or minimal uptake). In this work, we investigated whether machine l...

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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 49; no. 5; pp. 1523 - 1535
Main Authors:	Yi, Zhilong, Hu, Siqi, Lin, Xiaofeng, Zou, Qiong, Zou, MinHong, Zhang, Zhanlei, Xu, Lei, Jiang, Ningyi, Zhang, Yong
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Apr2022
Online Access:	View this record in EBSCOhost