Evidence map›Paper›PMID 33810244›Full record

ArticleCancers2021

Feasibility and Early Clinical Experience of Online Adaptive MR-Guided Radiotherapy of Liver Tumors.

Paul Rogowski, Rieke von Bestenbostel, Franziska Walter, Katrin Straub, Lukas Nierer, Christopher Kurz, Guillaume Landry, Michael Reiner, Christoph Josef Auernhammer, Claus Belka and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.7field-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.

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

36 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
  2. Article
  3. Evaluation of QUASAR Insight Phantom for daily imaging QA of MRgRT linacs.Journal of applied clinical medical physics · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Magnetic Resonance Imaging Sequences and Technologies in Adaptive Radiation Therapy.International journal of radiation oncology, biology, physics · 2025
    Review
  8. Article
  9. MR-linac: role of artificial intelligence and automation.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
    Review
  10. Article
  11. Review
  12. Article
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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

12 authors at 1 institution in 1 country.

Paul RogowskiDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.ORCID 0000-0003-3351-8896
Rieke von BestenbostelDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.
Franziska WalterDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.
Katrin StraubDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.
Lukas NiererDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.ORCID 0000-0001-9273-1625
Christopher KurzDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.
Guillaume LandryDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.ORCID 0000-0003-1707-4068
Michael ReinerDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.
Christoph Josef AuernhammerDepartment of Internal Medicine 4, University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0001-8087-3722
Claus BelkaDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.
Maximilian NiyaziDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.
Stefanie CorradiniDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr 15, 81377 Munich, Germany.ORCID 0000-0001-8709-7252
LMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the feasibility and early results of online adaptive MR-guided radiotherapy (oMRgRT) of liver tumors.

methodsWe retrospectively examined consecutive patients with primary or secondary liver lesions treated at our institution using a 0.35T hybrid MR-Linac (Viewray Inc., Mountain View, CA, USA). Online-adaptive treatment planning was used to account for interfractional anatomical changes, and real-time intrafractional motion management using online 2D cine MRI was performed using a respiratory gating approach. Treatment response and toxicity were assessed during follow-up.

resultsEleven patients and a total of 15 lesions were evaluated. Histologies included cholangiocarcinomas and metastases of neuroendocrine tumors, colorectal carcinomas, sarcomas and a gastrointestinal stroma tumor. The median BED

conclusionEarly results of MR-linac based oMRgRT for the primary and secondary liver tumors are promising. The treatment was feasible in all cases and well tolerated with minimal toxicity. The technique should be compared to conventional SBRT in further studies to assess the advantages of the technique.

Indexed as

cholangiocarcinomaliver metastasesMRgRTMR-guided radiotherapyMR-linacoMRgRTSBRT

Identifiers

PMID33810244
PMCPMC8037065
OpenAlexW3142844844

What OpenQuestion holds

Textmetadata
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.