Evidence map›Paper›PMID 34556678›Full record

ArticleScientific reports2021

Histology to 3D in vivo MR registration for volumetric evaluation of MRgFUS treatment assessment biomarkers.

Blake E Zimmerman, Sara L Johnson, Henrik A Odéen, Jill E Shea, Rachel E Factor, Sarang C Joshi, Allison H Payne

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Blake E ZimmermanDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA. blakezimmerman13@gmail.com.
Sara L JohnsonDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
Henrik A OdéenUtah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, USA.
Jill E SheaDepartment of Surgery, University of Utah, Salt Lake City, UT, USA.
Rachel E FactorDepartment of Pathology, University of Utah, Salt Lake City, UT, USA.
Sarang C JoshiDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
Allison H PayneUtah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, USA.

Funding

Validation and translation of a non-invasive, MR-guided breast cancer therapyR37CA224141 · NCI · UNIVERSITY OF UTAH · PI PAYNE, ALLISON · 2018 to 2024
$3.7M
Quantitative assessment of MRgFUS with tissue-deformation corrected MRI-registered whole mount histologyR03EB026132 · NIBIB · UNIVERSITY OF UTAH · PI PAYNE, ALLISON · 2018 to 2019
$153k
NCI NIH HHS R37 CA224141
6 · The paper itself

Abstract

Advances in imaging and early cancer detection have increased interest in magnetic resonance (MR) guided focused ultrasound (MRgFUS) technologies for cancer treatment. MRgFUS ablation treatments could reduce surgical risks, preserve organ tissue and function, and improve patient quality of life. However, surgical resection and histological analysis remain the gold standard to assess cancer treatment response. For non-invasive ablation therapies such as MRgFUS, the treatment response must be determined through MR imaging biomarkers. However, current MR biomarkers are inconclusive and have not been rigorously evaluated against histology via accurate registration. Existing registration methods rely on anatomical features to directly register in vivo MR and histology. For MRgFUS applications in anatomies such as liver, kidney, or breast, anatomical features that are not caused by the treatment are often insufficient to drive direct registration. We present a novel MR to histology registration workflow that utilizes intermediate imaging and does not rely on anatomical MR features being visible in histology. The presented workflow yields an overall registration accuracy of 1.00 ± 0.13 mm. The developed registration pipeline is used to evaluate a common MRgFUS treatment assessment biomarker against histology. Evaluating MR biomarkers against histology using this registration pipeline will facilitate validating novel MRgFUS biomarkers to improve treatment assessment without surgical intervention. While the presented registration technique has been evaluated in a MRgFUS ablation treatment model, this technique could be potentially applied in any tissue to evaluate a variety of therapeutic options.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance Imaging, InterventionalAnimalsCell Line, TumorDisease Models, AnimalFeasibility StudiesHigh-Intensity Focused Ultrasound AblationHumansNecrosisNeoplasmsRabbitsTreatment Outcome

Identifiers

PMID34556678
PMCPMC8460731

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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.