Evidence map›Paper›PMID 32675816›Full record

ArticleThe Canadian veterinary journal = La revue veterinaire canadienne2020

3D-printed bolus improves dose distribution for veterinary patients treated with photon beam radiation therapy.

Tiffany Wormhoudt Martin, Mary-Keara Boss, Susan M LaRue, Del Leary

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in The Canadian veterinary journal = La revue veterinaire canadienne, 2020. 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
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Application of 3D printing for personalized boluses in radiotherapy: a systematic review.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    Review
  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

4 authors at 1 institution in 1 country.

Tiffany Wormhoudt MartinColorado State University Veterinary Teaching Hospital, Flint Animal Cancer Center, Department of Environmental & Radiological Health Sciences, 300 W. Drake Rd., Fort Collins, Colorado 80523, USA.
Mary-Keara BossColorado State University Veterinary Teaching Hospital, Flint Animal Cancer Center, Department of Environmental & Radiological Health Sciences, 300 W. Drake Rd., Fort Collins, Colorado 80523, USA.
Susan M LaRueColorado State University Veterinary Teaching Hospital, Flint Animal Cancer Center, Department of Environmental & Radiological Health Sciences, 300 W. Drake Rd., Fort Collins, Colorado 80523, USA.
Del LearyColorado State University Veterinary Teaching Hospital, Flint Animal Cancer Center, Department of Environmental & Radiological Health Sciences, 300 W. Drake Rd., Fort Collins, Colorado 80523, USA.
Colorado State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Commercial bolus is frequently used to increase dose at the patient's surface for superficial radiotherapy; however, uneven surfaces can create air gaps and discrepancies between prescribed and delivered dose. The purpose of this study was to determine if a customizable, 3D-printed bolus would improve dosimetry compared with a commercial bolus. For each patient, a planned bolus was generated within planning software, then created with 3D-printing. The treatment plan was recalculated with each bolus

Indexed as

Printing, Three-DimensionalRadiotherapy Planning, Computer-AssistedAnimalsRadiotherapy Dosage

Identifiers

PMID32675816
PMCPMC7238465
OpenAlexW3043436679

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.