Evidence map›Paper›PMID 34028976›Full record

ArticleJournal of medical radiation sciences2021

Visualising the urethra for prostate radiotherapy planning.

Matthew Richardson, Kate Skehan, Lee Wilton, Joshua Sams, Justin Samuels, Jonathan Goodwin, Peter Greer, Swetha Sridharan, Jarad Martin

Open access · goldAbstract read
In one paragraph

Article in Journal of medical radiation sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Visualising the urethra for prostate radiotherapy planning.Journal of medical radiation sciences · 2021
    Article
  10. 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

9 authors at 1 institution in 1 country.

Matthew RichardsonDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6684-5327
Kate SkehanDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia.
Lee WiltonDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia.ORCID https://orcid.org/0000-0001-9077-1383
Joshua SamsDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia.
Justin SamuelsDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia.
Jonathan GoodwinDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia.
Peter GreerDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia.
Swetha SridharanDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia.
Jarad MartinDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia.
Calvary Mater Newcastle Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prostatic urethra is an organ at risk for prostate radiotherapy with genitourinary toxicities a common side effect. Many external beam radiation therapy protocols call for urethral sparing, and with modulated radiotherapy techniques, the radiation dose distribution can be controlled so that maximum doses do not fall within the prostatic urethral volume. Whilst traditional diagnostic MRI sequences provide excellent delineation of the prostate, uncertainty often remains as to the true path of the urethra within the gland. This study aims to assess if a high-resolution isotropic 3D T2 MRI series can reduce inter-observer variability in urethral delineation for radiotherapy planning.

methodsFive independent observers contoured the prostatic urethra for ten patients on three data sets; a 2 mm axial CT, a diagnostic 3 mm axial T2 TSE MRI and a 0.9 mm isotropic 3D T2 SPACE MRI. The observers were blinded from each other's contours. A Dice Similarity Coefficient (DSC) score was calculated using the intersection and union of the five observer contours vs an expert reference contour for each data set.

resultsThe mean DSC of the observer vs reference contours was 0.47 for CT, 0.62 for T2 TSE and 0.78 for T2 SPACE (P < 0.001).

conclusionsThe introduction of a 0.9 mm isotropic 3D T2 SPACE MRI for treatment planning provides improved urethral visualisation and can lead to a significant reduction in inter-observer variation in prostatic urethral contouring.

Indexed as

Prostatic NeoplasmsUrethraHumansMagnetic Resonance ImagingMaleObserver VariationRadiotherapy DosageRadiotherapy Planning, Computer-AssistedMRIprostateradiation therapySBRTurethra

Identifiers

PMID34028976
PMCPMC8424315
OpenAlexW3164717143

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.