Evidence map›Paper›PMID 41626079›Full record

ArticleAdvances in radiation oncology2026

Predictors of Successful First-Attempt Prostate Cancer Computed Tomography Simulation: A Prospective Cohort Study.

Karishma George, Demetra Yannitsos, Ashok Natarajan, Siwei Qi, Jackson Wu, Lisa Barbera

Abstract read
In one paragraph

Article in Advances in radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Karishma GeorgeRadiation Oncology, Tom Baker Cancer Centre, Calgary, Canada.
Demetra YannitsosDepartment of Oncology, University of Calgary, Calgary, Canada.
Ashok NatarajanRadiation Oncology, Tom Baker Cancer Centre, Calgary, Canada.
Siwei QiCancer Care Alberta, Alberta Health Services, Calgary, Canada.
Jackson WuRadiation Oncology, Tom Baker Cancer Centre, Calgary, Canada.
Lisa BarberaRadiation Oncology, Tom Baker Cancer Centre, Calgary, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Successful computed tomography (CT) simulation in prostate cancer radiation therapy relies on consistent bowel and bladder preparation. This study aimed to determine the first-attempt CT simulation success rate and identify factors associated with a successful simulation. Methods and Materials: This single-institution, prospective cohort study recruited patients with prostate cancer undergoing CT simulation for pelvic radiation. We abstracted the success of CT simulation on the first attempt, the number of scan attempts in a single visit, the reason for failed attempt(s), and the frequency of rescheduled appointments. Patients completed a survey regarding their preparation experiences, demographic data, and patient-reported outcomes. The primary outcome was a successful first-attempt CT scan. A generalized estimating equation model evaluated factors associated with successful first scan, including age, CT appointment time, American Urological Association urinary symptom scores, constipation, diarrhea, and instruction format. Additionally, qualitative analysis of open-text patient feedback explored barriers to effective preparation. Results: Among 247 patients, 31.2% had a successful first-attempt CT simulation, while 52.2% required multiple attempts on the same day, and 16.6% needed rescheduling. Bladder and bowel issues contributed to 30.8% and 22.7% of failed attempts, respectively. Patients who received both verbal and written instructions were significantly more likely to succeed (adjusted odds ratio 1.82, Conclusions: Low CT simulation success rates emphasize the need for improved patient preparation strategies. Multimodal education significantly enhanced success rates. Addressing communication methods and, refining preparation protocols should reduce rescans, and optimize workflows.

Identifiers

PMID41626079
PMCPMC12859771

What Socratic 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 Socratic graph.