Evidence map›Paper›PMID 36947038›Full record

Observational studyJAMA network open2023

Comparison of Online-Onboard Adaptive Intensity-Modulated Radiation Therapy or Volumetric-Modulated Arc Radiotherapy With Image-Guided Radiotherapy for Patients With Gynecologic Tumors in Dependence on Fractionation and the Planning Target Volume Margin.

Maja Guberina, Alina Santiago Garcia, Aymane Khouya, Christoph Pöttgen, Kostyantyn Holubyev, Toke Printz Ringbaek, Manfred Lachmuth, Yasemin Alberti, Christian Hoffmann, Julian Hlouschek and 5 more

Registry-linked trialOpen access · goldFull text readObservational Study
In one paragraph

Observational study in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06230549 (Prospective Randomized Validation of Adaptive Radiotherapy in Patients With Gynecological Tumors and Indication for Radiotherapy), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
8.2field-weighted citation impact, top 2% 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.

NCT06230549 narecruitingnot on this mapstarted 2024, after this paper: background citation

Prospective Randomized Validation of Adaptive Radiotherapy in Patients With Gynecological Tumors and Indication for Radiotherapy

TypeinterventionalSponsorUniversity Hospital, EssenRan2024 to 2026Enrolled30ConditionsGynecological Tumor, Adaptive Radiotherapy, Radiation, Curative TreatmentArmsAdaptive Radiotherapy
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 23 citations in OpenAlex.

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  10. Longitudinal stability of HyperSightScientific reports · 2025
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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

15 authors at 2 institutions in 1 country.

Maja GuberinaDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Alina Santiago GarciaDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Aymane KhouyaDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Christoph PöttgenDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Kostyantyn HolubyevDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Toke Printz RingbaekDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Manfred LachmuthDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Yasemin AlbertiDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Christian HoffmannDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Julian HlouschekDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Thomas GaulerDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Wolfgang LübckeDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Frank IndenkämpenDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Martin StuschkeDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
Nika GuberinaDepartment of Radiotherapy, West German Cancer Center, University of Duisburg-Essen, University Hospital Essen, Essen, Germany.
University of Duisburg-Essen · DEEssen University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Patients with newly diagnosed locally advanced cervical carcinomas or recurrences after surgery undergoing radiochemotherapy whose tumor is unsuited for a brachytherapy boost need high-dose percutaneous radiotherapy with small margins to compensate for clinical target volume deformations and set-up errors. Cone-beam computed tomography-based online adaptive radiotherapy (ART) has the potential to reduce planning target volume (PTV) margins below 5 mm for these tumors. Objective: To compare online ART technologies with image-guided radiotherapy (IGRT) for gynecologic tumors. Design, Setting, and Participants: This comparative effectiveness study comprised all 7 consecutive patients with gynecologic tumors who were treated with ART with artificial intelligence segmentation from January to May 2022 at the West German Cancer Center. All adapted treatment plans were reviewed for the new scenario of organs at risk and target volume. Dose distributions of adapted and scheduled plans optimized on the initial planning computed tomography scan were compared. Exposure: Online ART for gynecologic tumors. Main Outcomes and Measures: Target dose coverage with ART compared with IGRT for PTV margins of 5 mm or less in terms of the generalized equivalent uniform dose (gEUD) without increasing the gEUD for the organs at risk (bladder and rectum). Results: The first 10 treatment series among 7 patients (mean [SD] age, 65.7 [16.5] years) with gynecologic tumors from a prospective observational trial performed with ART were compared with IGRT. For a clinical PTV margin of 5 mm, IGRT was associated with a median gEUD decrease in the interfractional clinical target volume of -1.5% (90% CI, -31.8% to 2.9%) for all fractions in comparison with the planned dose distribution. Online ART was associated with a decrease of -0.02% (90% CI, -3.2% to 1.5%), which was less than the decrease with IGRT (P < .001). This was not associated with an increase in the gEUD for the bladder or rectum. For a PTV margin of 0 mm, the median gEUD deviation with IGRT was -13.1% (90% CI, -47.9% to 1.6%) compared with 0.1% (90% CI, -2.3% to 6.6%) with ART (P < .001). The benefit associated with ART was larger for a PTV margin of 0 mm than of 5 mm (P = .004) due to spreading of the cold spot at the clinical target volume margin from fraction to fraction with a median SD of 2.4 cm (90% CI, 1.9-3.4 cm) for all patients. Conclusions and Relevance: This study suggests that ART is associated with an improvement in the percentage deviation of gEUD for the interfractional clinical target volume compared with IGRT. As the gain of ART depends on fractionation and PTV margin, a strategy is proposed here to switch from IGRT to ART, if the delivered gEUD distribution becomes unfavorable in comparison with the expected distribution during the course of treatment.

Indexed as

Genital Neoplasms, FemaleRadiotherapy, Image-GuidedRadiotherapy, Intensity-ModulatedAgedArtificial IntelligenceFemaleHumansRadiotherapy Planning, Computer-Assisted

Identifiers

PMID36947038
PMCPMC10034575
OpenAlexW4353014915

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read106
Read underepoch 390

Registered trials

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.