Evidence map›Paper›PMID 32006268›Full record

ArticleAnnals of biomedical engineering2020

Personalized Dosimetry for Liver Cancer Y-90 Radioembolization Using Computational Fluid Dynamics and Monte Carlo Simulation.

Emilie Roncali, Amirtahà Taebi, Cameron Foster, Catherine Tram Vu

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Review
  7. Observational
  8. Article
  9. Materials today. Bio · 2024
    Article
  10. Article
  11. Article
  12. A Review of Image-Based Simulation Applications in High-Value Manufacturing.Archives of computational methods in engineering : state of the art reviews · 2023
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Radioembolization Dosimetry with Total-BodyJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  18. Article
  19. Computational Fluid Dynamics Modeling of Liver Radioembolization: A Review.Cardiovascular and interventional radiology · 2022
    Review
  20. 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

4 authors at 2 institutions in 1 country.

Emilie RoncaliDepartment of Biomedical Engineering, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA. eroncali@ucdavis.edu.ORCID http://orcid.org/0000-0002-2439-1064
Amirtahà TaebiDepartment of Biomedical Engineering, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
Cameron FosterDepartment of Radiology, UC Davis Medical Center, Sacramento, CA, 95817, USA.
Catherine Tram VuDepartment of Radiology, UC Davis Medical Center, Sacramento, CA, 95817, USA.
University of California, Davis · USUniversity of California Davis Medical Center · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
Research at the interface of optical and ionizing radiation for innovative cancer imaging and therapyR35CA197608 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHERRY, SIMON R · 2015 to 2021
$4.9M
Personalized dosimetry for liver cancer radioembolization using fluid dynamics simulationR21CA237686 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI RONCALI, EMILIE · 2019 to 2020
$369k
NCI NIH HHS P30 CA093373NCI NIH HHS P30CA093373NCI NIH HHS R21 CA237686NCI NIH HHS R35 CA197608UC Davis Academic Federation Innovation Development Award
6 · The paper itself

Abstract

Yttrium-90 (Y-90) transarterial radioembolization uses radioactive microspheres injected into the hepatic artery to irradiate liver tumors internally. One of the major challenges is the lack of reliable dosimetry methods for dose prediction and dose verification. We present a patient-specific dosimetry approach for personalized treatment planning based on computational fluid dynamics (CFD) simulations of the microsphere transport combined with Y-90 physics modeling called CFDose. The ultimate goal is the development of a software to optimize the amount of activity and injection point for optimal tumor targeting. We present the proof-of-concept of a CFD dosimetry tool based on a patient's angiogram performed in standard-of-care planning. The hepatic arterial tree of the patient was segmented from the cone-beam CT (CBCT) to predict the microsphere transport using multiscale CFD modeling. To calculate the dose distribution, the predicted microsphere distribution was convolved with a Y-90 dose point kernel. Vessels as small as 0.45 mm were segmented, the microsphere distribution between the liver segments using flow analysis was predicted, the volumetric microsphere and resulting dose distribution in the liver volume were computed. The patient was imaged with positron emission tomography (PET) 2 h after radioembolization to evaluate the Y-90 distribution. The dose distribution was found to be consistent with the Y-90 PET images. These results demonstrate the feasibility of developing a complete framework for personalized Y-90 microsphere simulation and dosimetry using patient-specific input parameters.

Indexed as

Computer SimulationEmbolization, TherapeuticHepatic ArteryHumansHydrodynamicsLiver NeoplasmsMonte Carlo MethodPositron Emission Tomography Computed TomographyPrecision MedicineRadiometryRadiopharmaceuticalsYttrium RadioisotopesRadiopharmaceuticalsYttrium-90Yttrium RadioisotopesComputational fluid dynamicsDosimetryLiver cancerMicrospheresPersonalized medicineQuantitative imagingRadioembolizationRadionuclide therapyTreatment planningYttrium-90

Identifiers

PMID32006268
PMCPMC7160004
OpenAlexW3003504374

What OpenQuestion holds

Textmetadata
LicenceTDM
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.