[HTML][HTML] Bone metastasis in prostate cancer: bone scan versus PET imaging

N Mohseninia, N Zamani-Siahkali, S Harsini… - Seminars in Nuclear …, 2024 - Elsevier
Prostate cancer is the second most common cause of malignancy among men, with bone
metastasis being a significant source of morbidity and mortality in advanced cases …

Artificial intelligence-aided optical imaging for cancer theranostics

M Xu, Z Chen, J Zheng, Q Zhao, Z Yuan - Seminars in Cancer Biology, 2023 - Elsevier
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high
accuracy and high efficiency in medical decision-making for individualized cancer medicine …

[HTML][HTML] AI-Enhanced Virtual Clinics and Telemedicine for Cancer Treatment

H Amiri, M Ghaneiyan, P Farjami, H Mehran… - Kindle, 2024 - preferpub.org
AI-enhanced virtual clinics and telemedicine are transforming cancer treatment by improving
access to care, diagnostic precision, and personalized treatment options. For patients …

Advancements in mri-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects

A Chaddad, G Tan, X Liang, L Hassan, S Rathore… - Cancers, 2023 - mdpi.com
Simple Summary The integration of artificial intelligence (AI) into radiomic models has
become increasingly popular due to advances in computer-aided diagnosis tools. These …

[HTML][HTML] Application of photoactive compounds in cancer theranostics: review on recent trends from photoactive chemistry to artificial intelligence

P Szymaszek, M Tyszka-Czochara, J Ortyl - Molecules, 2024 - mdpi.com
According to the World Health Organization (WHO) and the International Agency for
Research on Cancer (IARC), the number of cancer cases and deaths worldwide is predicted …

Novel multiparametric magnetic resonance imaging-based deep learning and clinical parameter integration for the prediction of long-term biochemical recurrence-free …

HW Lee, E Kim, I Na, CK Kim, SI Seo, H Park - Cancers, 2023 - mdpi.com
Simple Summary Existing research on predicting biochemical recurrence after prostate
surgery has been insufficient. Here, we aimed to predict biochemical recurrence after radical …

Radiomics and Artificial Intelligence in Radiotheranostics: a review of applications for Radioligands Targeting somatostatin receptors and prostate-specific membrane …

E Yazdani, P Geramifar, N Karamzade-Ziarati… - Diagnostics, 2024 - mdpi.com
Radiotheranostics refers to the pairing of radioactive imaging biomarkers with radioactive
therapeutic compounds that deliver ionizing radiation. Given the introduction of very …

Nuclear Medicine and Cancer Theragnostics: Basic Concepts

V Zoi, M Giannakopoulou, GA Alexiou, P Bouziotis… - Diagnostics, 2023 - mdpi.com
Cancer theragnostics is a novel approach that combines diagnostic imaging and
radionuclide therapy. It is based on the use of a pair of radiopharmaceuticals, one optimized …

The use of MRI-derived radiomic models in prostate cancer risk stratification: A critical review of contemporary literature

LM Huynh, Y Hwang, O Taylor, MJ Baine - Diagnostics, 2023 - mdpi.com
The development of precise medical imaging has facilitated the establishment of radiomics,
a computer-based method of quantitatively analyzing subvisual imaging characteristics. The …

Application of machine learning for differentiating bone Malignancy on imaging: A systematic review

W Ong, L Zhu, YL Tan, EC Teo, JH Tan, N Kumar… - Cancers, 2023 - mdpi.com
Simple Summary Distinguishing between benign vs. malignant bone lesions is often difficult
on imaging. Many bone lesions are infrequent or rarely seen, and often only specialist …