Background/aim: Survival rates of prostate cancer (PCa) patients have improved considerably as a result of earlier diagnosis and therapies, including radiotherapy (RT) and androgen deprivation therapy (ADT). Patients on ADT develop cancer treatment-induced bone loss (CTIBL) and a high risk of fragility fractures. Bone health (BH) assessment is strongly recommended, together with timely initiation of treatments, to counteract CTIBL and preserve bone strength. Therefore, we decided to develop an interdisciplinary pathway of care (IPC) dedicated to non-metastatic PCa patients on long-term ADT and RT.

Patients And Methods: An interdisciplinary team allocated resources to support an IPC to manage patients' CTIBL and prevent fragility fractures. The team provided a diagnostic and therapeutic workflow according to patients' and professional perspectives, consistent with recommendations and healthcare policies. The hospital's quality department certified the IPC, the Ethical Committee approved procedures over the workflow. The Fracture Liaison Service (FLS) standards inspired services and professionals' activities and interactions.

Results: Preliminary data support the feasibility of the IPC from professionals' and patients' perspectives. Median age of the enrolled patients was 75 years, more than a half (58.9%) had low grade osteopenia or normal BMD (T-score ≥-1.5 standard deviation, SD), while 23.5% and 17.6% had osteoporosis and osteopenia, respectively. The IPC meets the requirements of a FLS concerning crucial indicators.

Conclusion: Our IPC was a suitable approach to assure timely identification, assessment, initiation, and monitoring of adherence to anti-fracture treatments among non-metastatic PCa patients on long-term ADT and RT. Further data are required to show its effectiveness on fragility fracture prevention.

Download full-text PDF

Source
http://dx.doi.org/10.21873/anticanres.16186DOI Listing

Publication Analysis

Top Keywords

pca patients
12
bone health
8
prostate cancer
8
androgen deprivation
8
deprivation therapy
8
fragility fractures
8
non-metastatic pca
8
patients long-term
8
long-term adt
8
patients
6

Similar Publications

Oral and Fecal Microbiota as Accurate Non-invasive Tools for Detection of Pancreatic Cancer in the Chinese Population.

Cancer Lett

January 2025

Department of General Surgery, Peking Union Medical College, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, No.1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing, China. 100730. Electronic address:

Pancreatic cancer (PCA), a leading cause of cancer-related deaths, has limited non-invasive diagnostic methods. We aimed to identify oral and fecal microbiome biomarkers and construct diagnostic classifiers. Oral and fecal samples from 97 PCA patients and 90 healthy controls underwent 16S rRNA sequencing.

View Article and Find Full Text PDF

Objective: The objective of this study is to analyse the perspectives of screening candidates and healthcare professionals on shared decision-making (SDM) in prostate cancer (PCa) screening using the prostate-specific antigen (PSA) test.

Design: Descriptive qualitative study (May-December 2022): six face-to-face focus groups and four semistructured interviews were conducted, transcribed verbatim and thematically analysed using ATLAS.ti software.

View Article and Find Full Text PDF

Prostate cancer (PCa) is prevalent among men over 70. Treatment may involve interventions like radical prostatectomy. The objective of this study was to investigate the combination of adverse pathology patterns on PCa progression through the Briganti 2012 nomogram and EAU risk classes in elderly patients treated with robotic surgery.

View Article and Find Full Text PDF

To establish a machine learning (ML) model for predicting prostate biopsy outcomes using prostate-specific antigen (PSA) values, multiparametric magnetic resonance imaging (mpMRI) findings, and hematologic parameters. The medical records of the patients who had undergone a prostate biopsy were evaluated. Laboratory findings, mpMRI findings, and prostate biopsy results were collected.

View Article and Find Full Text PDF

: We constructed a prediction model to predict a 2-year locoregional recurrence based on the clinical features and radiomic features extracted from the machine learning method using computed tomography (CT) before definite chemoradiotherapy (dCRT) in locally advanced esophageal cancer. : A total of 264 patients (156 in Beijing, 87 in Tianjin, and 21 in Jiangsu) were included in this study. All those locally advanced esophageal cancer patients received definite radiotherapy and were randomly divided into five subgroups with a similar number and divided into training groups and validation groups by five cross-validations.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!