Evidence map›Paper›PMID 38263844›Full record

ReviewThe British journal of radiology2024

Impact of technological advances in treatment planning, image guidance, and treatment delivery on target margin design for prostate cancer radiotherapy: an updated review.

Jeff D Winter, Varun Reddy, Winnie Li, Tim Craig, Srinivas Raman

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jeff D WinterRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada.ORCID 0000-0003-0873-0254
Varun ReddyRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada.
Winnie LiRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada.ORCID 0000-0002-5539-4102
Tim CraigRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada.ORCID 0000-0003-2198-9172
Srinivas RamanRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent innovations in image guidance, treatment delivery, and adaptive radiotherapy (RT) have created a new paradigm for planning target volume (PTV) margin design for patients with prostate cancer. We performed a review of the recent literature on PTV margin selection and design for intact prostate RT, excluding post-operative RT, brachytherapy, and proton therapy. Our review describes the increased focus on prostate and seminal vesicles as heterogenous deforming structures with further emergence of intra-prostatic GTV boost and concurrent pelvic lymph node treatment. To capture recent innovations, we highlight the evolution in cone beam CT guidance, and increasing use of MRI for improved target delineation and image registration and supporting online adaptive RT. Moreover, we summarize new and evolving image-guidance treatment platforms as well as recent reports of novel immobilization strategies and motion tracking. Our report also captures recent implementations of artificial intelligence to support image guidance and adaptive RT. To characterize the clinical impact of PTV margin changes via model-based risk estimates and clinical trials, we highlight recent high impact reports. Our report focusses on topics in the context of PTV margins but also showcase studies attempting to move beyond the PTV margin recipes with robust optimization and probabilistic planning approaches. Although guidelines exist for target margins conventional using CT-based image guidance, further validation is required to understand the optimal margins for online adaptation either alone or combined with real-time motion compensation to minimize systematic and random uncertainties in the treatment of patients with prostate cancer.

Indexed as

BrachytherapyProstatic NeoplasmsArtificial IntelligenceCone-Beam Computed TomographyHumansLymph NodesMalecone beam computed tomographyimage guided radiation therapymagnetic resonance imagingplanning target volumeprostate cancerradiation therapy

Identifiers

PMID38263844
PMCPMC11027310

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.