Evidence map›Paper›PMID 33829118›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2019

Development of a Customizable Hepatic Arterial Tree and Particle Transport Model for Use in Treatment Planning.

Nathan R Crookston, George S K Fung, Eric C Frey

Abstract read
In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  11. Virtual clinical trials in medical imaging: a review.Journal of medical imaging (Bellingham, Wash.) · 2020
    Review
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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

3 authors.

Nathan R CrookstonJohns Hopkins University, Baltimore, MD 21218 (ncrooks1@jhu.edu).
George S K FungDepartment of Medical Imaging Physics, Johns Hopkins Medicine, Baltimore, MD 21287 (gskfung@jhmi.edu).
Eric C FreyDepartment of Medical Imaging Physics, Johns Hopkins Medicine, Baltimore, MD 21287 (efrey@jhmi.edu).

Funding

Quantitative SPECT for Targeted Radionuclide TherapyR01CA109234 · NCI · JOHNS HOPKINS UNIVERSITY · PI FREY, ERIC C. · 2006 to 2015
$4.2M
NCI NIH HHS R01 CA109234
6 · The paper itself

Abstract

Optimal treatment planning for radioembolization of hepatic cancers produces sufficient dose to tumors for control and dose to normal liver parenchyma that is below the threshold for toxicity. The non-uniform distribution of particles in liver microanatomy complicates the planning process as different functional regions receive different doses. Having realistic and patient-specific models of the arterial tree and microsphere trapping would be useful for developing more optimal treatment plans. We propose a macrocell-based growth method to generate models of the hepatic arterial tree from the proper hepatic artery to the terminal arterioles supplying the capillaries in the parenchyma. We show how these trees can be adapted to match patient values of pressure, flow, and vessel diameters while still conforming to laws controlling vessel bifurcation, changes in pressure, and blood flow. We also introduce a method to model particle transport within the tree that accounts for vessel and particle diameter distributions and show the non-uniform microsphere deposition pattern that results. Potential applications include investigating dose heterogeneity and microsphere deposition patterns.

Indexed as

dosimetryliver radioembolizationparticle transporttreatment planningvascular modeling

Identifiers

PMID33829118
PMCPMC8023303

What OpenQuestion holds

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Registered trials

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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.