Evidence map›Paper›PMID 20617390›Full record

ArticleMolecular imaging and biology2011

MicroCT-based virtual histology evaluation of preclinical medulloblastoma.

Suresh I Prajapati, Aoife Kilcoyne, Aislynn K Samano, Dustin P Green, Steven D McCarthy, Barron A Blackman, Michelle M Brady, Lee Ann Zarzabal, Arun K Tatiparthi, Timothy J Sledz and 6 more

Erratum issuedOpen access · greenAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular imaging and biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Quantitative Stain Mapping in X-Ray Virtual Histology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. X-ray Stain Localization with Near-Field Ptychographic Computed Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 1 country.

Suresh I PrajapatiGreehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC-7784, San Antonio, TX, 78229, USA.
Aoife KilcoyneGreehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC-7784, San Antonio, TX, 78229, USA.
Aislynn K SamanoGreehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC-7784, San Antonio, TX, 78229, USA.
Dustin P GreenGreehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC-7784, San Antonio, TX, 78229, USA.
Steven D McCarthyGreehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC-7784, San Antonio, TX, 78229, USA.
Barron A BlackmanGreehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC-7784, San Antonio, TX, 78229, USA.
Michelle M BradyGreehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC-7784, San Antonio, TX, 78229, USA.
Lee Ann ZarzabalEpidemiology and Biostatistics, University of Texas Health Science Center, 7703 Floyd Curl, San Antonio, TX, 78229, USA.
Arun K TatiparthiMicrophotonics Inc., Allentown, PA, USA.
Timothy J SledzMicrophotonics Inc., Allentown, PA, USA.
Timothy DuongResearch Imaging Institute, University of Texas Health Science Center, 7703 Floyd Curl, San Antonio, TX, 78229, USA.
Sachiko Ohshima-HosoyamaGreehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC-7784, San Antonio, TX, 78229, USA.
Francis J GilesDepartment of Medicine, University of Texas Health Science Center, 7703 Floyd Curl, San Antonio, TX, 78229, USA.
Joel E MichalekEpidemiology and Biostatistics, University of Texas Health Science Center, 7703 Floyd Curl, San Antonio, TX, 78229, USA.
Brian P RubinDepartment of Anatomic Pathology, Cleveland Clinic, Taussig Cancer Center and the Lerner Research Institute, Cleveland, OH, USA.
Charles KellerGreehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC-7784, San Antonio, TX, 78229, USA. keller@ohsu.edu.
The University of Texas Health Science Center at San Antonio · USCleveland Clinic Lerner College of Medicine · US

Funding

TISSUE CULTURE---COREP30CA054174 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DARUKA MAHADEVAN · 1991 to 2026
$59.1M
Stroke Imaging of Conscious RatsR01NS045879 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DUONG, TIMOTHY Q. · 2004 to 2014
$3.1M
NCI NIH HHS P30 CA054174NINDS NIH HHS R01 NS045879
6 · The paper itself

Abstract

purposeThe purpose of this paper is to validate a rapid and cost-effective ex vivo technique, microCT-based virtual histology, as an alternative to MRI imaging for assessing the therapeutic response in genetically engineered mouse models of cancer. PROCEDURES: All animal procedures were conducted in accordance with the Guidelines for the Care and Use of Laboratory Animals and were approved by the Institutional Animal Care and Use Committee (IACUC) at the University of Texas Health Science Center at San Antonio. MRI imaging was performed on 6-week-old, bortezomib-treated genetically engineered Patched1, p53 mice that recapitulate the characteristics of human medulloblastoma. After MRI scans, the same mice were euthanized to collect brain or spine samples for virtual histology staining followed by microCT scanning.

resultsNine-micrometer resolution ex vivo micro X-ray computed tomography (microCT)-based virtual histology images were qualitatively reflective of high-field live animal images obtained with magnetic resonance imaging (MRI) and histopathology. Cerebellar volumes on microCT-based virtual histology correlated closely with MRI cerebellar volumes (R = 0.998). MRI and microCT-based virtual histology both indicated a significant difference between cerebellar volumes of untreated and treated mice (p = 0.02 and p = 0.04, respectively). The ex vivo microCT method also allowed a 7,430-fold improvement in voxel resolution (voxel volume of 729 μm³ for 9-μm isometric resolution microCT vs. 5,416,800 μm³ for 400 × 111 × 122 μm resolution MRI) at a 28% cost savings ($400 vs. $555 per animal).

conclusionThe ex vivo, en bloc technique of microCT-based virtual histology matched MRI in reflecting histopathology. MicroCT-based virtual histology proved to be a more cost-effective technique and less labor-intensive. On the other hand, MRI provides ability to perform in vivo imaging, faster scanning and lower radiation dose by sacrificing the spatial resolution. Thus, both in vivo MRI and ex vivo microCT-based virtual histology are effective means of quantitatively evaluating therapeutic response in preclinical models of cerebellar tumors including the childhood cancer, medulloblastoma.

Indexed as

User-Computer InterfaceAnimalsBoronic AcidsBortezomibCerebellumMagnetic Resonance ImagingMedulloblastomaMiceOrgan SizePyrazinesTumor BurdenX-Ray MicrotomographyBoronic AcidsBortezomibPyrazines

Identifiers

PMID20617390
PMCPMC4770897
OpenAlexW2114970887

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.