Evidence map›Paper›PMID 35110554›Full record

ArticleScientific reports2022

Quantification metrics for telangiectasia using optical coherence tomography.

Jillian L Cardinell, Joel M Ramjist, Chaoliang Chen, Weisong Shi, Nhu Q Nguyen, Tiffany Yeretsian, Matthew Choi, David Chen, Dewi S Clark, Anne Curtis and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. 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
0.2field-weighted citation impact, top 54% 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, 1 citations in OpenAlex.

  1. Review
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 20 institutions in 4 countries.

Jillian L CardinellDeparment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, Canada. jillian.cardinell@ryerson.ca.
Joel M RamjistDeparment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, Canada.
Chaoliang ChenDeparment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, Canada.
Weisong ShiDeparment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, Canada.
Nhu Q NguyenDeparment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, Canada.
Tiffany YeretsianPhysical Sciences Platform, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Matthew ChoiPhysical Sciences Platform, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.
David ChenPhysical Sciences Platform, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Dewi S ClarkToronto HHT Centre, Division of Respirology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Anne CurtisDivision of Dermatology, University of Toronto, Toronto, ON, Canada.
Helen KimDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Marie E FaughnanLi Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
Victor X D YangDeparment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, Canada.
Brain Vascular Malformation Consortium HHT Investigator Group
Sunnybrook Health Science Centre · CAToronto Metropolitan University · CANanjing University of Science and Technology · CNNeurological Surgery · USSt. Michael's Hospital · CAUniversity of Toronto · CAYale University · USAugusta University · USBarrow Neurological Institute · USCure HHT · USDuke University · USHealth Sciences Centre · CAHospital for Sick Children · CAJohns Hopkins University · USMayo Clinic in Arizona · USMayo Clinic in Florida · USSt. Antonius Ziekenhuis · NLSt. Louis Children's Hospital · USSt. Paul's Hospital · CAToronto Western Hospital · CA

Funding

The Impact of COVID-19 on People Living with Rare Diseases and Their FamiliesU2CTR002818 · NCATS · CINCINNATI CHILDRENS HOSP MED CTR · PI Maurizio Macaluso, Michael Wagner · 2019 to 2026
$51.2M
VCRC Administration UnitU54NS065705 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KIM, HELEN · 2009 to 2023
$20.8M
NCATS NIH HHS U2C TR002818NIH HHS U54NS065705NINDS NIH HHS U54 NS065705
6 · The paper itself

Abstract

Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant disorder that causes vascular malformations throughout the body. The most prevalent and accessible of these lesions are found throughout the skin and mucosa, and often rupture causing bleeding and anemia. A recent increase in potential HHT treatments have created a demand for quantitative metrics that can objectively measure the efficacy of new and developing treatments. We employ optical coherence tomography (OCT)-a high resolution, non-invasive imaging modality in a novel pipeline to image and quantitatively characterize dermal HHT lesion behavior over time or throughout the course of treatment. This study is aimed at detecting detailed morphological changes of dermal HHT lesions to understand the underlying dynamic processes of the disease. We present refined metrics tailored for HHT, developed from a pilot study using 3 HHT patients and 6 lesions over the course of multiple imaging dates, totalling to 26 lesion images. Preliminary results from these lesions are presented in this paper alongside representative OCT images. This study provides a new objective method to analyse and understand HHT lesions using a minimally invasive, accessible, cost-effective, and efficient imaging modality with quantitative metrics describing morphology and blood flow.

Indexed as

MicrocirculationNeovascularization, PathologicTomography, Optical CoherenceAngiographyClinical Trials as TopicFractalsHumansImage Interpretation, Computer-AssistedPattern Recognition, AutomatedPilot ProjectsPredictive Value of TestsRegional Blood FlowSkinTelangiectasia, Hereditary Hemorrhagic

Identifiers

PMID35110554
PMCPMC8810896
OpenAlexW4210519014

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.