U Sharma, NR Jagannathan - Biophysical Reviews, 2020 - Springer
Understanding the metabolism of prostate cancer (PCa) is important for developing better diagnostic approaches and also for exploring new therapeutic targets. Magnetic resonance …
Objective To develop different radiomic models based on the magnetic resonance imaging (MRI) radiomic features and machine learning methods to predict early intensity-modulated …
Y Hou, ML Bao, CJ Wu, J Zhang, YD Zhang… - Abdominal Radiology, 2020 - Springer
Purpose PI-RADS score 3 is recognized as equivocal likelihood of clinically significant prostate cancer (csPCa) occurrence. We aimed to develop a Radiomics machine learning …
NR Jagannathan - Biomedical Translational Research: Technologies for …, 2022 - Springer
Magnetic resonance imaging (MRI) is often used as a versatile imaging modality for diagnosis of various diseases in clinical medicine. The technique is noninvasive and has …
W Jiang, H Fang, F Liu, X Zhou, H Zhao… - International journal of …, 2019 - Taylor & Francis
Background: Multimodal imaging probes have become a powerful tool for improving detection sensitivity and accuracy, which are important in disease diagnosis and treatment …
R Iacob, ER Stoicescu, S Cerbu, DL Manolescu… - Life, 2023 - mdpi.com
Simple Summary Prostate cancer (PCa) is one of the most common types of tumors among men, being potentially curable when diagnosed in early phases. With all this, this type of …
The use of multiparametric MRI has been hastened under expanding, novel indications for its use in the diagnostic and management pathway of men with prostate cancer. This has …
X Meng, W Ma, J Zhang, Z Quan, M Zhang, J Ye… - Molecular Imaging and …, 2023 - Springer
Objectives Our purpose was to compare the performance of prostate-specific membrane antigen (PSMA)-positron emission tomography (PET) traditional fixed threshold (FT) and …