Background And Purpose: Inter-modality image registration between computed tomography (CT) and magnetic resonance (MR) images is associated with systematic uncertainties and the magnitude of these uncertainties is not well documented. The purpose of this study was to investigate the potential uncertainty of gold fiducial marker (GFM) registration for localized prostate cancer and to estimate the inter-observer bias in a clinical setting.
Methods: Four experienced observers registered CT and MR images for 42 prostate cancer patients. Manual GFM identification was followed by a landmark-based registration. The absolute difference between observers in GFM identification and the displacement of the clinical target volume (CTV) was investigated. The CTV center of mass (CoM) vector displacements, DICE-index and Hausdorff distances for the observer registrations were compared against a clinical baseline registration. The time allocated for the manual registrations was compared.
Results: Absolute difference in GFM identification between observers ranged from 0.0 to 3.0 mm. The maximum CTV CoM displacement from the clinical baseline was 3.1 mm. Displacements larger than or equal to 1 mm, 2 mm and 3 mm were 46%, 18% and 4%, respectively. No statistically significant difference was detected between observers in terms of CTV displacement. Median DICE-index and Hausdorff distance for the CTV, with their respective ranges were 0.94 [0.70-1.00] and 2.5 mm [0.7-8.7].
Conclusions: Registration of CT and MR images using GFMs for localized prostate cancer patients was subject to inter-observer bias on an individual patient level. A CTV displacement as large as 3 mm occurred for individual patients. These results show that GFM registration in a clinical setting is associated with uncertainties, which motivates the removal of inter-modality registrations in the radiotherapy workflow and a transition to an MRI-only workflow for localized prostate cancer.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365967 | PMC |
| http://dx.doi.org/10.1186/s13014-021-01865-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
T-cell Engagers in Prostate Cancer.
Eur Urol
March 2025
Division of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA. Electronic address:
Owing to the "cold" tumor immune microenvironment of prostate cancer, immune-targeting agents have shown limited efficacy in patients with advanced prostate cancer, highlighting the need for new therapies with novel mechanisms of action. In this context, T-cell engagers (TCEs), which induce T-cell-mediated killing of cancer cells by binding the CD3 receptor on T cells and a specific tumor antigen expressed on malignant cells, represent a promising therapeutic option. Multiple studies have explored the use of TCEs in previously treated patients with metastatic castration-resistant prostate cancer, and several ongoing trials are currently assessing novel TCEs either as single agents or in combinatorial regimens with molecules with a distinct mechanism of action (eg, androgen receptor pathway inhibitors and other immune-targeting agents).
View Article and Find Full Text PDFPotential New Tumors Associated with Hereditary Breast and Ovarian Cancer (HBOC).
Keio J Med
March 2025
Center for Hereditary Breast and Ovarian Cancer Syndrome, Keio University Hospital, Tokyo, Japan.
Hereditary breast and ovarian cancer syndrome (HBOC) is traditionally associated with mutations in the BRCA1 and BRCA2 genes, predominantly impacting breast, ovarian, pancreatic, and prostate cancers. However, recent research suggests that these mutations may also predispose carriers to a broader spectrum of malignancies, including biliary tract, cervical, colorectal, endometrial, esophageal, and gastric cancers. This review presents findings from extensive datasets, including a significant study from a nationwide Japanese biobank that examined cancer risks in 63,828 patients and 37,086 controls.
View Article and Find Full Text PDFNext generation of porphysomes for improved photodynamic therapy applications.
J Control Release
March 2025
Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Bâtiment Henri Moissan, 17, Avenue des Sciences, 91400 Orsay, France. Electronic address:
Porphysomes are a class of liposome-like nanoparticles that have demonstrated efficacy in photothermal therapy (PTT) and photodynamic therapy (PDT) against cancer. These nanoparticles results from the self-assembly of amphiphilic phospholipid-porphyrin (PL-Por) conjugates. Despite their potential, porphysomes exhibit a high photothermal effect and a weak photodynamic activity as long as they remain intact within the body.
View Article and Find Full Text PDFThe patient was a 51-year-old man who was diagnosed as having prostate cancer(adenocarcinoma)in December Year X-3. He underwent total prostatectomy in June Year X-2. The lesions were confined to the right lobe of the prostate.
View Article and Find Full Text PDFThe contribution of coding variants to the heritability of multiple cancer types using UK Biobank whole-exome sequencing data.
Am J Hum Genet
March 2025
Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
Genome-wide association studies have been highly successful at identifying common variants associated with cancer; however, they do not explain all the inherited risks of cancer. Family-based studies, targeted sequencing, and, more recently, exome-wide association studies have identified rare coding variants in some genes associated with cancer risk, but the overall contribution of these variants to the heritability of cancer is less clear. Here, we describe a method to estimate the genome-wide contribution of rare coding variants to heritability that fits models to the burden effect sizes using an empirical Bayesian approach.
View Article and Find Full Text PDFWant 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!