Evidence map›Paper›PMID 32542176›Full record

ArticleIEEE access : practical innovations, open solutions2020

Automated in vivo Assessment of Vascular Response to Radiation using a Hybrid Theranostic X-ray Irradiator/Fluorescence Molecular Imaging System.

Farouk Nouizi, Jamison Brooks, Darren M Zuro, Srideshikan Sargur Madabushi, Dayson Moreira, Marcin Kortylewski, Jerry Froelich, Lydia M Su, Gultekin Gulsen, Susanta K Hui

Open access · goldAbstract read
In one paragraph

Article in IEEE access : practical innovations, open solutions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Farouk NouiziTu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California Irvine, Irvine, CA 92697 USA.
Jamison BrooksDepartment of Radiation Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010 USA.
Darren M ZuroDepartment of Radiation Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010 USA.
Srideshikan Sargur MadabushiDepartment of Radiation Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010 USA.
Dayson MoreiraDepartment of Immuno-Oncology, Beckman Research Institute at City of Hope, Duarte, CA 91010 USA.
Marcin KortylewskiDepartment of Immuno-Oncology, Beckman Research Institute at City of Hope, Duarte, CA 91010 USA.
Jerry FroelichDepartment of Radiology, University of Minnesota, Minneapolis, MN.
Lydia M SuTu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California Irvine, Irvine, CA 92697 USA.
Gultekin GulsenTu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California Irvine, Irvine, CA 92697 USA.
Susanta K HuiDepartment of Radiation Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010 USA.
City Of Hope National Medical Center · USUniversity of California, Irvine · USUniversity of Minnesota · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
Conformal Total Body and Marrow Irradiation for LeukemiaR01CA154491 · NCI · UNIVERSITY OF MINNESOTA · PI HUI, SUSANTA K, WONG, JEFFREY Y · 2011 to 2024
$5.0M
Cell-Selective CpG-STAT3 Inhibitors for Radioimmunotherapy of Malignant GliomaR01CA215183 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI KORTYLEWSKI, MARCIN · 2018 to 2022
$2.3M
Targeting Transcriptional Regulators for Immunotherapy of Acute Myeloid LeukemiaR01CA213131 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI KORTYLEWSKI, MARCIN · 2017 to 2021
$2.1M
Turn the heat on: High resolution fluorescence imaging via temperature modulationR21CA191389 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI GULSEN, GULTEKIN · 2015 to 2016
$407k
NCI NIH HHS P30 CA033572NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA154491NCI NIH HHS R01 CA213131NCI NIH HHS R01 CA215183NCI NIH HHS R21 CA191389
6 · The paper itself

Abstract

Hypofractionated stereotactic body radiotherapy treatments (SBRT) have demonstrated impressive results for the treatment of a variety of solid tumors. The role of tumor supporting vasculature damage in treatment outcome for SBRT has been intensely debated and studied. Fast, non-invasive, longitudinal assessments of tumor vasculature would allow for thorough investigations of vascular changes correlated with SBRT treatment response. In this paper, we present a novel theranostic system which incorporates a fluorescence molecular imager into a commercial, preclinical, microCT-guided, irradiator and was designed to quantify tumor vascular response (TVR) to targeted radiotherapy. This system overcomes the limitations of single-timepoint imaging modalities by longitudinally assessing spatiotemporal differences in intravenously-injected ICG kinetics in tumors before and after high-dose radiation. Changes in ICG kinetics were rapidly quantified by principle component (PC) analysis before and two days after 10 Gy targeted tumor irradiation. A classifier algorithm based on PC data clustering identified pixels with TVR. Results show that two days after treatment, a significant delay in ICG clearance as measured by exponential decay (40.5±16.1% P=0.0405 Paired t-test n=4) was observed. Changes in the mean normalized first and second PC feature pixel values (PC1 & PC2) were found (P=0.0559, 0.0432 paired t-test), suggesting PC based analysis accurately detects changes in ICG kinetics. The PC based classification algorithm yielded spatially-resolved TVR maps. Our first-of-its-kind theranostic system, allowing automated assessment of TVR to SBRT, will be used to better understand the role of tumor perfusion in metastasis and local control.

Indexed as

Fluorescence Molecular ImagingPharmacokineticsPreclinical ImagingPrincipal Component AnalysisRadiation TherapyStereotactic Body Radiotherapy TreatmentsTheranosticsTumor Vascular Response

Identifiers

PMID32542176
PMCPMC7295127
OpenAlexW3025534896

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.