ClinicalTrials.gov
public full text
Public Domain
Inter-observer Variability in the Segmentation of Prostate Tumour Lesions Using Multiparametric MRI (VARIOP)
Following the major technological and scientific advances in external radiotherapy in recent decades, thanks to the use of three-dimensional conformal techniques combined with intensity modulation, image-guided radiotherapy has enabled radiotherapists to increase doses without increasing sequelae and complications, giving rise to the term "dose escalation". Following multiple dose-escalation clinical trials showing better biological control of PSA, the results of the latest phase 3 FLAME trial incorporated the notion of intraprostatic boost in relation to the primary prostate lesion, considered to be the preferred site of neoplastic recurrence in prostate cancer. This leads to the first question, which concerns the identification of the dominant lesion and its precise delimitation. This last point is subject to variation between operators. A retrospective cohort from the Finistère region will therefore be used to develop a number of study points relating to : inter-operator contour variability * Factors influencing contour * Impact of contour variability on dosimetry * Automatic segmentation
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Comprehensive Versus Primary Tumor Radiotherapy in Oligometastatic Prostate Cancer#894636
- PSMA-PET and MRI for Detection of Recurrent Prostate Cancer After Radical Treatment#871250
- Comparison of Intermittent Androgen Deprivation Therapy With or Without Irradiation Recovery in Prostate Cancer Patients#1030474
- Molecular Imaging of Prostate Cancer Using Radiofluorinated PSMA Ligand#871461
- Quantitative imaging for predicting biological response in 177Lu-PSMA radioligand therapy for metastatic castration-resistant prostate cancer#374353
Record · ID 833880
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive