AIMC Topic: Prostatic Neoplasms, Castration-Resistant

Clear Filters Showing 11 to 20 of 20 articles

Prognostic factors among patients with pathological Grade Group 5 prostate cancer based on robot-associated radical prostatectomy specimens from a large Japanese cohort (MSUG94).

World journal of urology
PURPOSE: There are no definitive prognostic factors for patients with pathological Grade Group 5 (pGG 5) prostate cancer (PCa) undergoing robot-associated radical prostatectomy (RARP). This study aimed to explore the prognostic factors among patients...

The Use of Transdermal Estrogen in Castrate-resistant, Steroid-refractory Prostate Cancer.

Clinical genitourinary cancer
BACKGROUND: Androgen-deprivation therapy is the mainstay of treatment for metastatic prostate cancer. Corticosteroids and estrogens are also useful agents in castration-resistant prostate cancer (CRPC). However, oral estrogens are associated with thr...

Automated classification of benign and malignant lesions in F-NaF PET/CT images using machine learning.

Physics in medicine and biology
PURPOSE: F-NaF PET/CT imaging of bone metastases is confounded by tracer uptake in benign diseases, such as osteoarthritis. The goal of this work was to develop an automated bone lesion classification algorithm to classify lesions in NaF PET/CT image...

Divergent Clonal Evolution and Early Dissemination Promote Genetic Heterogeneity of Metastases in Castration-Resistant Prostate Cancer.

Cancer research
UNLABELLED: Lethal prostate cancer has passed through at least two evolutionary bottlenecks: acquisition of metastatic potential and development of castration resistance. A better understanding of how this affects genetic heterogeneity across metasta...

Using Machine Learning to Predict Survival in Patients with Metastatic Castration-Resistant Prostate Cancer.

Studies in health technology and informatics
Non-specific clinical biomarkers have been shown to help identify prognostic risks in cancer patients. However, the accuracy of prognostic biomarkers for predicting survival in patients with metastatic castration-resistant prostate cancer (mCRPC) sti...

Pilot study of an artificial intelligence-based deep learning algorithm to predict time to castration-resistant prostate cancer for metastatic hormone-naïve prostate cancer.

Japanese journal of clinical oncology
The object in this study is to develop an artificial intelligence-based deep learning algorithm for prediction of time to castration-resistant prostate cancer by combined androgen blockade therapy in metastatic hormone-naïve prostate cancer. We inclu...

[Down-regulated PTTG1 expression promotes the senescence of human prostate cancer LNCaP-AI].

Zhonghua nan ke xue = National journal of andrology
OBJECTIVE: To investigate the effect of the down-regulated expression of pituitary tumor-transforming gene 1 (PTTG1) on the senescence of human castration-resistant prostate cancer LNCaP-AI cells.

Hematopoiesis is prognostic for toxicity and survival of Radium treatment in patients with metastatic castration-resistant prostate cancer.

Hellenic journal of nuclear medicine
OBJECTIVE: We evaluated the impact of pre-therapeutic hematopoiesis on survival, hematotoxicity (HT) and number of Radium (Ra) treatments in patients with metastatic castration-resistant prostate cancer.