Biomarkers of aggressive prostate cancer at diagnosis

BE Boehm, ME York, G Petrovics, I Kohaar… - International journal of …, 2023 - mdpi.com
In the United States, prostate cancer (CaP) remains the second leading cause of cancer
deaths in men. CaP is predominantly indolent at diagnosis, with a small fraction (25–30%) …

[HTML][HTML] Machine learning in prostate MRI for prostate cancer: current status and future opportunities

H Li, CH Lee, D Chia, Z Lin, W Huang, CH Tan - Diagnostics, 2022 - mdpi.com
Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …

[HTML][HTML] Oncologic imaging and radiomics: a walkthrough review of methodological challenges

A Stanzione, R Cuocolo, L Ugga, F Verde, V Romeo… - Cancers, 2022 - mdpi.com
Simple Summary Radiomics could increase the value of medical images for oncologic
patients, allowing for the identification of novel imaging biomarkers and building prediction …

Artificial intelligence in multiparametric magnetic resonance imaging: A review

C Li, W Li, C Liu, H Zheng, J Cai, S Wang - Medical physics, 2022 - Wiley Online Library
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images

Y Gheibi, K Shirini, SN Razavi, M Farhoudi… - BMC Medical Informatics …, 2023 - Springer
Background Accurate segmentation of stroke lesions on MRI images is very important for
neurologists in the planning of post-stroke care. Segmentation helps clinicians to better …

[HTML][HTML] Phonocardiogram transfer learning-based CatBoost model for diastolic dysfunction identification using multiple domain-specific deep feature fusion

Y Zheng, X Guo, Y Yang, H Wang, K Liao… - Computers in Biology and …, 2023 - Elsevier
Left ventricular diastolic dyfunction detection is particularly important in cardiac function
screening. This paper proposed a phonocardiogram (PCG) transfer learning-based …

Artificial Intelligence-based Radiomics in the Era of Immuno-oncology

CY Kang, SE Duarte, HS Kim, E Kim, J Park… - The …, 2022 - academic.oup.com
The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and
spurred further research into tumor biology. Yet, cancer patients respond variably to …

[HTML][HTML] Prostate health index and multiparametric MRI: partners in crime fighting overdiagnosis and overtreatment in prostate cancer

M Ferro, F Crocetto, D Bruzzese, M Imbriaco, F Fusco… - Cancers, 2021 - mdpi.com
Simple Summary In the last decades, the widespread use of PSA as the standard tool for
prostate cancer diagnosis led to a high rate of overdiagnosis and overtreatment. More …

Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer

H Zheng, Q Miao, Y Liu, SA Mirak, M Hosseiny… - European …, 2022 - Springer
Objective To identify which patient with prostate cancer (PCa) could safely avoid extended
pelvic lymph node dissection (ePLND) by predicting lymph node invasion (LNI), via a …

Radiomics for the identification of extraprostatic extension with prostate MRI: a systematic review and meta-analysis

A Ponsiglione, M Gambardella, A Stanzione… - European …, 2024 - Springer
Objectives Extraprostatic extension (EPE) of prostate cancer (PCa) is predicted using clinical
nomograms. Incorporating MRI could represent a leap forward, although poor sensitivity and …