Evidence map›Paper›PMID 31156288›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2019

Advanced statistical analysis to classify high dimensionality textural probability-distribution matrices.

Jack Prothero, Jean-Baptiste Vimort, Antonio Ruellas, J S Marron, Matt McCormick, Pablo Hernandez-Cerdan, Lucia Cevidanes, Erika Benavides, Beatriz Paniagua

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2019. 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
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Jack ProtheroDept. of Statistics and Operations Research, University of North Carolina at Chapel Hill, Hanes Hall, Campus Box 3260, Chapel Hill, NC, USA 27599.
Jean-Baptiste VimortKitware, Inc. 101 East Weaver Street, Carrboro, NC, USA 25710.
Antonio RuellasDept. of Orthodontics and Pediatric Dentistry, University of Michigan, 1011 N University Ave, Ann Arbor, MI, USA 48109.
J S MarronDept. of Statistics and Operations Research, University of North Carolina at Chapel Hill, Hanes Hall, Campus Box 3260, Chapel Hill, NC, USA 27599.
Matt McCormickKitware, Inc. 101 East Weaver Street, Carrboro, NC, USA 25710.
Pablo Hernandez-CerdanKitware, Inc. 101 East Weaver Street, Carrboro, NC, USA 25710.
Lucia CevidanesDept. of Orthodontics and Pediatric Dentistry, University of Michigan, 1011 N University Ave, Ann Arbor, MI, USA 48109.
Erika BenavidesDept. of Orthodontics and Pediatric Dentistry, University of Michigan, 1011 N University Ave, Ann Arbor, MI, USA 48109.
Beatriz PaniaguaKitware, Inc. 101 East Weaver Street, Carrboro, NC, USA 25710.

Funding

Quantification of 3D Bony Changes in Temporomandibular Joint OsteoarthritisR01DE024450 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Lucia H Cevidanes · 2013 to 2026
$5.5M
Textural biomarkers of arthritis for the subchondral bone in the temporomandibular jointR21DE025306 · NIDCR · KITWARE, INC. · PI PANIAGUA, BEATRIZ · 2016 to 2017
$429k
NIDCR NIH HHS R01 DE024450NIDCR NIH HHS R21 DE025306
6 · The paper itself

Abstract

Temporomandibular Joint (TMJ) Osteoarthritis (OA) is associated with significant pain and disability. It is really hard to diagnose TMJ OA during early stages of the disease. Subchondral bone texture has been observed to change in the TMJ early during TMJ OA progression. We believe that raw probability-distribution matrices describing image texture encode important information that might aid diagnosing TMJ OA. In this paper we present novel statistical methods for High Dimensionality Low Sample Size Data (HDLSSD) to test the discriminatory power of probability-distribution matrices in computed from TMJ OA medical scans. Our results, and comparison with previous results obtained from the summary features obtained from them indicate that probability-distribution matrices are an important piece of information provided by texture analysis methods and should not be down sampled for analysis.

Indexed as

High Dimensionality Low Sample Size DataStatistical analysisSubchondral bone remodelingTemporomandibular Joint OsteoarthritisTexture analysis

Identifiers

PMID31156288
PMCPMC6543527

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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.