Evidence map›Paper›PMID 33876838›Full record

ArticleThe Prostate2021

Tissue clearing techniques for three-dimensional optical imaging of intact human prostate and correlations with multi-parametric MRI.

Stefano Cipollari, Neema Jamshidi, Liutao Du, Kyunghyun Sung, Danshan Huang, Daniel J Margolis, Jiaoti Huang, Robert E Reiter, Michael D Kuo

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

Article in The Prostate, 2021. 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% 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, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 4 countries.

Stefano CipollariMedical Artificial Intelligence Laboratory Program, The University of Hong Kong, Hong Kong, Hong Kong SAR.
Neema JamshidiMedical Artificial Intelligence Laboratory Program, The University of Hong Kong, Hong Kong, Hong Kong SAR.ORCID 0000-0003-3857-9735
Liutao DuDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Kyunghyun SungDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Danshan HuangDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Daniel J MargolisDepartment of Radiology, Cornell University, New York, New York, USA.
Jiaoti HuangDepartment of Pathology, Duke University School of Medicine, Durham, North Carolina, USA.
Robert E ReiterDepartment of Urology, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Michael D KuoMedical Artificial Intelligence Laboratory Program, The University of Hong Kong, Hong Kong, Hong Kong SAR.
University of California, Los Angeles · USArtificial Intelligence in Medicine (Canada) · CACornell University · USDuke University · US

Funding

UCLA SPORE IN PROSTATE CANCERP50CA092131 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREEMAN, MICHAEL R · 2002 to 2023
$42.6M
The Effect of Nanoparticle Encapsulated Resveratrol on Treatment of PeriodontitisKL2TR001882 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2016 to 2026
$13.1M
NCATS NIH HHS KL2 TR001882NCI NIH HHS P50 CA092131
6 · The paper itself

Abstract

backgroundTissue clearing technologies have enabled remarkable advancements for in situ characterization of tissues and exploration of the three-dimensional (3D) relationships between cells, however, these studies have predominantly been performed in non-human tissues and correlative assessment with clinical imaging has yet to be explored. We sought to evaluate the feasibility of tissue clearing technologies for 3D imaging of intact human prostate and the mapping of structurally and molecularly preserved pathology data with multi-parametric volumetric MR imaging (mpMRI).

methodsWhole-mount prostates were processed with either hydrogel-based CLARITY or solvent-based iDISCO. The samples were stained with a nuclear dye or fluorescently labeled with antibodies against androgen receptor, alpha-methylacyl coenzyme-A racemase, or p63, and then imaged with 3D confocal microscopy. The apparent diffusion coefficient and K

resultsQuantitative analysis of cleared normal and tumor prostate tissue volumes displayed differences in 3D tissue architecture, marker-specific cell staining, and cell densities that were significantly correlated with mpMRI measurements in this initial, pilot cohort.

conclusions3D imaging of human prostate volumes following tissue clearing is a feasible technique for quantitative radiology-pathology correlation analysis with mpMRI and provides an opportunity to explore functional relationships between cellular structures and cross-sectional clinical imaging.

Indexed as

ProstateProstatic NeoplasmsDiagnosis, Computer-AssistedHumansImaging GenomicsImaging, Three-DimensionalMaleMicroscopy, ConfocalMiddle AgedMultiparametric Magnetic Resonance ImagingNeoplasm StagingOptical ImagingProstatectomyStaining and LabelingTumor BurdenCLARITYiDISCOprostateprostate cancerradiogenomicstissue clearing

Identifiers

PMID33876838
PMCPMC9014804
OpenAlexW3155144373

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.