A review of artificial intelligence in prostate cancer detection on imaging

I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …

[HTML][HTML] Radiology and multi-scale data integration for precision oncology

H Paverd, K Zormpas-Petridis, H Clayton… - NPJ Precision …, 2024 - nature.com
In this Perspective paper we explore the potential of integrating radiological imaging with
other data types, a critical yet underdeveloped area in comparison to the fusion of other multi …

Head-to-head comparison of 68Ga-PSMA-11 PET/CT and mpMRI with a histopathology gold standard in the detection, intraprostatic localization, and determination of …

I Sonni, ER Felker, AT Lenis, AE Sisk… - Journal of Nuclear …, 2022 - Soc Nuclear Med
The role of prostate-specific membrane antigen (PSMA)–targeted PET in comparison to
multiparametric MRI (mpMRI) in the evaluation of intraprostatic cancer foci is not well …

[HTML][HTML] Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning …

I Bhattacharya, A Seetharaman, C Kunder, W Shao… - Medical image …, 2022 - Elsevier
Automated methods for detecting prostate cancer and distinguishing indolent from
aggressive disease on Magnetic Resonance Imaging (MRI) could assist in early diagnosis …

[HTML][HTML] ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate

W Shao, L Banh, CA Kunder, RE Fan… - Medical image …, 2021 - Elsevier
Magnetic resonance imaging (MRI) is an increasingly important tool for the diagnosis and
treatment of prostate cancer. However, interpretation of MRI suffers from high inter-observer …

Predicting pathological tumor size in prostate cancer based on multiparametric prostate magnetic resonance imaging and preoperative findings

A Pooli, DC Johnson, J Shirk, D Markovic… - The Journal of …, 2021 - auajournals.org
Purpose: Oncologic efficacy of focal therapies in prostate cancer depends heavily on
accurate tumor size estimation. We aim to evaluate the agreement between radiologic tumor …

[HTML][HTML] 3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction

RR Sood, W Shao, C Kunder, NC Teslovich… - Medical image …, 2021 - Elsevier
The use of MRI for prostate cancer diagnosis and treatment is increasing rapidly. However,
identifying the presence and extent of cancer on MRI remains challenging, leading to high …

Prostate microstructure in prostate cancer using 3-T MRI with diffusion-relaxation correlation spectrum imaging: validation with whole-mount digital histopathology

Z Zhang, HH Wu, A Priester, C Magyar, S Afshari Mirak… - Radiology, 2020 - pubs.rsna.org
Background Microstructural MRI has the potential to improve diagnosis and characterization
of prostate cancer (PCa), but validation with histopathology is lacking. Purpose To validate …

[HTML][HTML] Multi-colour extrusion fused deposition modelling: a low-cost 3D printing method for anatomical prostate cancer models

MY Chen, J Skewes, MA Woodruff, P Dasgupta… - Scientific Reports, 2020 - nature.com
Abstract Three-dimensional (3D) printed prostate cancer models are an emerging adjunct
for urological surgical planning and patient education, however published methods are …

[HTML][HTML] Evaluation of prostate cancer detection using micro-ultrasound versus MRI through co-registration to whole-mount pathology

J Pensa, W Brisbane, A Kinnaird, D Kuppermann… - Scientific Reports, 2024 - nature.com
Micro-ultrasound has recently been introduced as a low-cost alternative to multi-parametric
MRI for imaging prostate cancer. Early clinical studies have demonstrated promising results; …