ReviewPractical radiation oncology
Target Volume Optimization for Localized Prostate Cancer.
Review in Practical radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Determinants of Toxicity in the Treatment of Prostate Cancer With a Focal, Intraprostatic "Microboost".International journal of radiation oncology, biology, physics · 2025Pooled it
- Prospective comparison ofEuropean journal of nuclear medicine and molecular imaging · 2025Trial
- Clinical utility of endorectal balloons in prostate cancer external beam radiotherapy: a systematic review and meta-analysis.Radiation oncology journal · 2026Article
- Implications for Radiation Microboosting Based on Pathology Correlations With Prostate-Specific Membrane Antigen and Multiparametric Magnetic Resonance Imaging Findings.Advances in radiation oncology · 2026Article
- Optimizing Radiation Therapy for Localized Prostate Cancer: Exploring Synergies With Androgen Deprivation Therapy and Novel Systemic Agents.Seminars in radiation oncology · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
purposeTo provide a comprehensive review of the means by which to optimize target volume definition for the purposes of treatment planning for patients with intact prostate cancer with a specific emphasis on focal boost volume definition.
methodsHere we conduct a narrative review of the available literature summarizing the current state of knowledge on optimizing target volume definition for the treatment of localized prostate cancer.
resultsHistorically, the treatment of prostate cancer included a uniform prescription dose administered to the entire prostate with or without coverage of all or part of the seminal vesicles. The development of prostate magnetic resonance imaging (MRI) and positron emission tomography (PET) using prostate-specific radiotracers has ushered in an era in which radiation oncologists are able to localize and focally dose-escalate high-risk volumes in the prostate gland. Recent phase 3 data has demonstrated that incorporating focal dose escalation to high-risk subvolumes of the prostate improves biochemical control without significantly increasing toxicity. Still, several fundamental questions remain regarding the optimal target volume definition and prescription strategy to implement this technique. Given the remaining uncertainty, a knowledge of the pathological correlates of radiographic findings and the anatomic patterns of tumor spread may help inform clinical judgement for the definition of clinical target volumes.
conclusionAdvanced imaging has the ability to improve outcomes for patients with prostate cancer in multiple ways, including by enabling focal dose escalation to high-risk subvolumes. However, many questions remain regarding the optimal target volume definition and prescription strategy to implement this practice, and key knowledge gaps remain. A detailed understanding of the pathological correlates of radiographic findings and the patterns of local tumor spread may help inform clinical judgement for target volume definition given the current state of uncertainty.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.