Evidence map›Paper›PMID 29357886›Full record

ArticleRadiation oncology (London, England)2018

Modelling the immunosuppressive effect of liver SBRT by simulating the dose to circulating lymphocytes: an in-silico planning study.

L Basler, N Andratschke, S Ehrbar, M Guckenberger, S Tanadini-Lang

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Correlation of dynamic blood dose with clinical outcomes in radiotherapy for head-and-neck cancer.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Modeling of radiation effects to immune system: a review.The journal of the Korean Physical Society · 2022
    Review
  17. Article
  18. Article
  19. [Systemic effects of local radiotherapy: first clinical evidence].Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2021
    Article
  20. Review
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

5 authors at 2 institutions in 1 country.

L BaslerUniversity Hospital Zurich, Department of Radiation Oncology, University of Zurich, Rämistrasse 100, CH 8091, Zürich, Switzerland. Lucas.Basler@usz.ch.
N AndratschkeUniversity Hospital Zurich, Department of Radiation Oncology, University of Zurich, Rämistrasse 100, CH 8091, Zürich, Switzerland.
S EhrbarUniversity Hospital Zurich, Department of Radiation Oncology, University of Zurich, Rämistrasse 100, CH 8091, Zürich, Switzerland.
M GuckenbergerUniversity Hospital Zurich, Department of Radiation Oncology, University of Zurich, Rämistrasse 100, CH 8091, Zürich, Switzerland.
S Tanadini-LangUniversity Hospital Zurich, Department of Radiation Oncology, University of Zurich, Rämistrasse 100, CH 8091, Zürich, Switzerland.
University of Zurich · CHUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor immune-evasion and associated failure of immunotherapy can potentially be overcome by radiotherapy, which however also has detrimental effects on tumor-infiltrating and circulating lymphocytes (CL). We therefore established a model to simulate the radiation-dose delivered to CL.

methodsA MATLAB-model was established to quantify the CL-dose during SBRT of liver metastases by considering the factors: hepatic blood-flow, -velocity and transition-time of individual hepatic segments, as well as probability-based recirculation. The effects of intra-hepatic tumor-location and size, fractionation and treatment planning parameters (VMAT, 3DCRT, photon-energy, dose-rate and beam-on-time) were analyzed. A threshold dose ≥0.5Gy was considered inactivating CL and CL0.5 (%) is the proportion of inactivated CL.

resultsMean liver dose was mostly influenced by treatment-modality, whereas CL0.5 was mostly influenced by beam-on-time. 3DCRT and VMAT (10MV-FFF) resulted in lowest CL0.5 values of 16 and 19%. Metastasis location influenced CL0.5, with a mean of 19% for both apical and basal and 31% for the central location. PTV-volume significantly increased CL0.5 from 27 to 67% (10MV-FFF) and from 31 to 98% (6MV-FFF) for PTV-volumes ranging from 14cm

conclusionA simulation-model was established, quantifying the strong effects of treatment-technique, tumor-location and tumor-volume on dose to CL with potential implications for immune-optimized treatment-planning in the future.

Indexed as

Combined Modality TherapyComputer SimulationHumansImmune ToleranceImmunotherapyLiver NeoplasmsLymphocytesRadiosurgeryRadiotherapy Planning, Computer-AssistedAbscopal effectImmunotherapyModellingStereotactic body radiotherapy (SBRT)Treatment planning

Identifiers

PMID29357886
PMCPMC5778751
OpenAlexW2790769715

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.