Evidence map›Paper›PMID 42200217›Full record

ArticleActa oncologica (Stockholm, Sweden)2026

Prospective evaluation and clinical outcomes of adaptive radiotherapy for locally advanced non-small cell lung cancer (LA-NSCLC).

Ingvild Helø Carlsen, Vilde Ragnvaldsen Dyvik, Tuva Borgund Johannessen, Kristine Fjellanger, Inger Marie Sandvik, John-Vidar Hjørnevik, Turid Husevåg Sulen, Tone Nybø, Johanna Austrheim Hundvin, Sara Margareta Cecilia Pilskog and 3 more

Abstract read
In one paragraph

Article in Acta oncologica (Stockholm, Sweden), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Ingvild Helø CarlsenCancer Clinic, Haukeland University Hospital, Bergen, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway. ingvild.helo.carlsen@helse-bergen.no.ORCID 0009-0008-7694-7299
Vilde Ragnvaldsen DyvikCancer Clinic, Haukeland University Hospital, Bergen, Norway.ORCID 0009-0001-5855-1812
Tuva Borgund JohannessenCancer Clinic, Haukeland University Hospital, Bergen, Norway.
Kristine FjellangerCancer Clinic, Haukeland University Hospital, Bergen, Norway; Department of Physics and Technology, University of Bergen, Bergen, Norway.ORCID 0000-0002-7376-0321
Inger Marie SandvikCancer Clinic, Haukeland University Hospital, Bergen, Norway.ORCID 0009-0002-3580-8651
John-Vidar HjørnevikCancer Clinic, Haukeland University Hospital, Bergen, Norway.
Turid Husevåg SulenCancer Clinic, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0001-5124-7933
Tone NybøCancer Clinic, Haukeland University Hospital, Bergen, Norway.
Johanna Austrheim HundvinCancer Clinic, Haukeland University Hospital, Bergen, Norway; Department of Physics and Technology, University of Bergen, Bergen, Norway.ORCID 0000-0002-4181-3468
Sara Margareta Cecilia PilskogCancer Clinic, Haukeland University Hospital, Bergen, Norway; Department of Physics and Technology, University of Bergen, Bergen, Norway.ORCID 0000-0002-3475-7939
Øystein FløttenDepartment of Clinical Science, University of Bergen, Bergen, Norway ;Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0001-9265-6506
Vilde Drageset HaakensenCancer Clinic, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-0864-3628
Liv Bolstad HysingCancer Clinic, Haukeland University Hospital, Bergen, Norway; Department of Physics and Technology, University of Bergen, Bergen, Norway.ORCID 0000-0002-7593-7549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeLocoregional tumor control is strongly associated with survival for non-small cell lung cancer, emphasizing the importance of precise radiotherapy delivery. This study aims to evaluate a traffic light adaptation protocol regarding target coverage, protocol performance and patient outcomes. MATERIAL AND

methodsFrom 2019 to 2022, we prospectively enrolled inoperable non-small cell lung cancer patients. We acquired daily cone-beam computed tomography and traffic light registrations, classifying anatomical changes and need of action. Using repeated computed tomography (rCT) in week 1 and 3 for dosimetric evaluation, we recalculated clinical target volume (CTV) D98% and V95% with and without adaptation, and compared traffic light registrations with the actual dose distribution. Protocol performance was evaluated by the sensitivity and specificity in detecting CTV V95% < 98%.

resultsAmong 45 patients with complete registrations, baseline shift and tumor shrinkage were most common changes, leading to corrections from bone to tumor match in 37.8% and replanning in 13.3% of patients. Among 38 patients with at least one rCT, 15.8% would have received insufficient CTV coverage without adaptation. Protocol sensitivity, specificity and balanced accuracy were 83.3, 88.6, and 85.7%, respectively. For 38 stage II-III patients, median overall survival was 43.5 months (95% confidence interval [CI]: 32.9-54.1), median time to locoregional failure 27.4 months (95% CI: 0-61.8) and median estimated time to distant failure 30.7 months (CI not estimated due to censoring).

interpretationThe protocol identified relevant changes, improving target coverage without increasing organ at risk doses. With appropriate training, protocol performance was good, and clinical outcomes were consistent with international results.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsRadiotherapy Planning, Computer-AssistedAgedAged, 80 and overCone-Beam Computed TomographyFemaleHumansMaleMiddle AgedProspective StudiesRadiotherapy DosageTreatment Outcome

Identifiers

PMID42200217
PMCPMC13221713

What OpenQuestion holds

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LicenceCC BY
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.