Evidence map›Paper›PMID 34021380›Full record

ArticleCardiovascular and interventional radiology2021

Electromagnetic Tracking and Optical Molecular Imaging Guidance for Liver Biopsy and Point-of-Care Tissue Assessment in Phantom and Woodchuck Hepatocellular Carcinoma.

Quirina M B de Ruiter, Sheng Xu, Ming Li, William F Pritchard, Matthew F Starost, Armando Filie, Andrew S Mikhail, Michal Mauda-Havakuk, Juan A Esparza-Trujillo, Ivane Bakhutashvili and 4 more

Open access · greenAbstract read
In one paragraph

Article in Cardiovascular and interventional radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

14 authors at 3 institutions in 1 country.

Quirina M B de RuiterCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0002-0031-8938
Sheng XuCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Ming LiCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
William F PritchardCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Matthew F StarostDivision of Veterinary Resources, National Institutes of Health, Bethesda, MD, 20892, USA.
Armando FilieLaboratory of Pathology, Center for Cancer Research, Clinical Center, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Andrew S MikhailCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Michal Mauda-HavakukCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Juan A Esparza-TrujilloCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Ivane BakhutashviliCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Pedram HeidariDepartment of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, 02129, USA.
Umar MahmoodCenter for Cancer research, National Institutes of Health, Bethesda, MD, 20892, USA.
John W KaranianCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Bradford J WoodCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA. bwood@nih.gov.
National Institutes of Health Clinical Center · USNational Institutes of Health · USHarvard University · US

Funding

Cytopathology CoreZICBC011052 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FILIE, ARMANDO · 2009 to 2025
$30.8M
Center for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7M
Optical and electromagnetic tracking guidance for hepatic interventionsU01CA202934 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI MAHMOOD, UMAR · 2017 to 2021
$1.4M
Enhancing the therapeutic effect of receptor radionuclide therapy in neuroendocrine tumors by somatostatin receptor upregulationK08CA249047 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HEIDARI, PEDRAM · 2020 to 2024
$1.3M
Interventional OncologyZIACL040015 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0k
Optical and electromagnetic tracking guidance for hepatic interventionsZIACL090073 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2020 to 2024
$0k
Intramural NIH HHS ZIA CL040015Intramural NIH HHS ZID BC011242NCI NIH HHS K08 CA249047NCI NIH HHS U01 CA202934NIBIB NIH HHS intramural research grant
6 · The paper itself

Abstract

purposeTo evaluate an integrated liver biopsy platform that combined CT image fusion, electromagnetic (EM) tracking, and optical molecular imaging (OMI) of indocyanine green (ICG) to target hepatocellular carcinoma (HCC) lesions and a point-of-care (POC) OMI to assess biopsy cores, all based on tumor retention of ICG compared to normal liver, in phantom and animal model. MATERIAL: A custom CT image fusion and EM-tracked guidance platform was modified to integrate the measurement of ICG fluorescence intensity signals in targeted liver tissue with an OMI stylet or a POC OMI system. Accuracy was evaluated in phantom and a woodchuck with HCC, 1 day after administration of ICG. Fresh biopsy cores and paraffin-embedded formalin-fixed liver tissue blocks were evaluated with the OMI stylet or POC system to identify ICG fluorescence signal and ICG peak intensity.

resultsThe mean distance between the initial guided needle delivery location and the peak ICG signal was 5.0 ± 4.7 mm in the phantom. There was complete agreement between the reviewers of the POC-acquired ICG images, cytology, and histopathology in differentiating HCC-positive from HCC-negative biopsy cores. The peak ICG fluorescence intensity signal in the ex vivo liver blocks was 39 ± 12 and 281 ± 150 for HCC negative and HCC positive, respectively.

conclusionBiopsy guidance with fused CT imaging, EM tracking, and ICG tracking with an OMI stylet to detect HCC is feasible. Immediate assessment of ICG uptake in biopsy cores with the POC OMI system is feasible and correlates with the presence of HCC in the tissue.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAnimalsBiopsyDisease Models, AnimalElectromagnetic PhenomenaMarmotaMolecular ImagingPoint-of-Care SystemsElectromagnetic trackingHepatocellular carcinomaImage fusionImage-guided biopsyIndocyanine greenLiver biopsyOptical molecular imagingPoint-of-care systemsWoodchuck

Identifiers

PMID34021380
PMCPMC8384721
OpenAlexW3163368322

What OpenQuestion holds

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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.