Evidence map›Paper›PMID 41768234›Full record

ArticleFrontiers in oncology2026

Daily artificial intelligence-assisted adaptive small margin radiotherapy during trimodal therapy of muscle-invasive bladder cancer.

Philip Blumenfeld, Daniel Levy, Yair Hillman, Jon Feldman, Marcel Fang, Ayman Salhab, Ofer N Gofrit, Aron Popovtzer, Marc Wygoda

Abstract read
In one paragraph

Article in Frontiers in 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.

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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

9 authors.

Philip Blumenfeld *Department of Radiation Oncology, Sharett Institute of Oncology, Hadassah Hebrew University Hospital, Jerusalem, Israel.
Daniel Levy *Department of Radiation Oncology, Sharett Institute of Oncology, Hadassah Hebrew University Hospital, Jerusalem, Israel.
Yair HillmanDepartment of Radiation Oncology, Sharett Institute of Oncology, Hadassah Hebrew University Hospital, Jerusalem, Israel.
Jon FeldmanDepartment of Radiation Oncology, Sharett Institute of Oncology, Hadassah Hebrew University Hospital, Jerusalem, Israel.
Marcel FangDepartment of Radiation Oncology, Sharett Institute of Oncology, Hadassah Hebrew University Hospital, Jerusalem, Israel.
Ayman SalhabDepartment of Radiation Oncology, Sharett Institute of Oncology, Hadassah Hebrew University Hospital, Jerusalem, Israel.
Ofer N GofritDepartment of Urology, Hadassah Hebrew University Hospital, Jerusalem, Israel.
Aron Popovtzer *Department of Radiation Oncology, Sharett Institute of Oncology, Hadassah Hebrew University Hospital, Jerusalem, Israel.
Marc Wygoda *Department of Radiation Oncology, Sharett Institute of Oncology, Hadassah Hebrew University Hospital, Jerusalem, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Adaptive radiotherapy (ART) enables daily plan modification based on anatomy and may improve outcomes in muscle-invasive bladder cancer (MIBC) treated with bladder-preserving chemoradiation. This retrospective study evaluated the dosimetric and clinical outcomes of daily ART. Methods: Between March 2021 and August 2024, 37 patients with T2-T4a MIBC received 55 Gy in 20 fractions with or without chemotherapy. Patients were stratified by margin strategy: small-margin (SM, n=26) adaptive versus scheduled plans, and small-margin adaptive versus large-margin (SM-LM, n=11) scheduled plans. Daily cone beam CT-guided ART with AI-assisted contouring, physician review, and plan selection was performed. Planning target volumes (PTVs) were generated by expanding the clinical target volume (CTV) by 0.5-1.0 cm in SM plans; 1.0-1.5 cm in LM plans. Toxicity was graded using CTCAE v5.0. Results: Across 740 fractions, adaptive plans were chosen in 96.9%. ART improved coverage in both cohorts. In SM patients, mean PTV V95 increased from 92.9% to 99.3% and CTV V98 from 96.7% to 99.8% (p < 0.01). In SM-LM comparison, PTV V95 improved from 95.5% to 99.8% (p < 0.01), with rectum and bowel dose reductions up to 91.9% and 57.8% (rectum V100%, bowel V100% respectively, both p < 0.01). At 12 months, cystectomy-free, progression-free, and overall survival were 95.8%, 82.7%, and 92.8%. No grade ≥3 acute toxicities occurred. Conclusions: Daily ART improves target coverage, reduces organ-at-risk exposure, and enables margin reduction in bladder-preserving radiotherapy. This represents one of the largest series of daily online ART for MIBC, demonstrating that margin-reduced ART is feasible and improves dosimetry compared with non-adaptive workflows.

Indexed as

adaptive radiotherapy (ART)artificial-intelligencebladder preservationcone-beam C-arm CTmargin reductionmuscle-invasive bladder cancer

Identifiers

PMID41768234
PMCPMC12935612

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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.