Evidence map›Paper›PMID 33216978›Full record

ArticleMedical physics2021

Optimization of the differentiation and quantification of high-Z nanoparticles incorporated in medical devices for CT-guided interventions.

Joy Vanessa D Perez, Megan C Jacobsen, Jossana A Damasco, Adam Melancon, Steven Y Huang, Rick R Layman, Marites P Melancon

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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  8. Nano-embedded medical devices and delivery systems in interventional radiology.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2023
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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

7 authors at 2 institutions in 2 countries.

Joy Vanessa D PerezDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Megan C JacobsenDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jossana A DamascoDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Adam MelanconDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Steven Y HuangDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Rick R LaymanDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Marites P MelanconDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Nanoparticle- Infused Radiopaque Absorbable Medical DeviceR01HL141831 · NHLBI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MELANCON, MARITES PASUELO · 2018 to 2022
$1.9M
Department of Science and Technology, Philippine Council for Health Research and DevelopmentHHS | NIH | National Cancer Institute (NCI) P30CA016672HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) 1R01HL141831NCI NIH HHS P30 CA016672NHLBI NIH HHS R01 HL141831
6 · The paper itself

Abstract

purposeMaterial differentiation has been made possible using dual-energy computed tomography (DECT), in which the unique, energy-dependent attenuating characteristics of materials can provide new diagnostic information. One promising application is the clinical integration of biodegradable polymers as temporary implantable medical devices impregnated with high-atomic number (high-Z) materials. The purpose of this study was to explore the incorporation of high atomic number (high-Z) contrast materials in a bioresorbable inferior vena cava filter for advanced CT-based monitoring of its location and differentiating from surrounding materials. MATERIALS AND

methodsImaging optimization and calibration studies were performed using a body phantom. The dual-energy CT (DECT) ratios for iron, zirconium, barium, gadolinium, ytterbium, tantalum, tungsten, gold, and bismuth were generated for peak kilovoltage combinations of 80/150Sn, 90/150Sn, and 100/150Sn kVp in dual-source CT via linear regression of the CT numbers at low and high energies. A secondary calibration of the material map to the nominal material concentration was generated to correct for use of materials other than iodine. CT number was calibrated to the material concentration based on single-energy CT (SECT) with additional filtration (150Sn kVp). These quantification methods were applied to monitoring of biodegradable inferior vena cava filters (IVCFs) made of braided poly(p-dioxanone) sutures infused with ultrasmall bismuth nanoparticles (BiNPs) implanted in an adult domestic pig.

resultsQualitative material differentiation was optimal for high-Z (>73) contrast agents in DECT. However, quantification became nonlinear and inaccurate as the K-edge of the material increased. Using the high-energy (150Sn kVp) data component as a SECT scan, the linearity of quantification curves was maintained with lower limits of detection than with DECT. Among the materials tested, bismuth had optimal differentiation from iodine in DECT while maintaining increased contrast in high-energy SECT for quantification (11.5% error). Coating the IVCF with BiNPs resulted in markedly greater radiopacity (maximum CT number, 2028 HU) than that of an uncoated IVCF (maximum CT number, 127 HU). Using DECT imaging and processing, the BiNP-IVCF could be clearly differentiated from iodine contrast injected into the inferior vena cava of the pig.

conclusionsThese findings may improve widespread integration of medical devices incorporated with high-Z materials into the clinic, where technical success, possible complications, and device integrity can be assessed intraoperatively and postoperatively via DECT imaging.

Indexed as

IodineNanoparticlesAnimalsCalibrationPhantoms, ImagingSwineTomography, X-Ray ComputedIodinedual-energy computed tomographyhigh-Z materialsmaterial decompositionnanoparticles

Identifiers

PMID33216978
PMCPMC8097741
OpenAlexW3101238912

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.