Evidence map›Paper›PMID 31343837›Full record

ArticleJournal of biophotonics2019

Translational optical coherence elastography for assessment of systemic sclerosis.

Chih-Hao Liu, Shervin Assassi, Sam Theodore, Christopher Smith, Alexander Schill, Manmohan Singh, Salavat Aglyamov, Chandra Mohan, Kirill V Larin

Open access · greenAbstract read
In one paragraph

Article in Journal of biophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Dual optical elastography detectsJournal of biomedical optics · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Systemic sclerosis.Lancet (London, England) · 2023
    Review
  11. Article
  12. Review
  13. Introduction to optical coherence elastography: tutorial.Journal of the Optical Society of America. A, Optics, image science, and vision · 2022
    Article
  14. Wave-based optical coherence elastography: The 10-year perspective.Progress in biomedical engineering (Bristol, England) · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Optical elastography and tissue biomechanics.Journal of biomedical optics · 2019
    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 at 2 institutions in 1 country.

Chih-Hao LiuDepartment of Biomedical Engineering, University of Houston, Houston, Texas.ORCID 0000-0001-8191-9382
Shervin AssassiDepartment of Rheumatology and Clinical Immunogenetics, University of Texas Health Science Center at Houston, Houston, Texas.
Sam TheodoreDepartment of Rheumatology and Clinical Immunogenetics, University of Texas Health Science Center at Houston, Houston, Texas.
Christopher SmithDepartment of Biomedical Engineering, University of Houston, Houston, Texas.
Alexander SchillDepartment of Biomedical Engineering, University of Houston, Houston, Texas.
Manmohan SinghDepartment of Biomedical Engineering, University of Houston, Houston, Texas.ORCID 0000-0002-8396-5451
Salavat AglyamovDepartment of Mechanical Engineering, University of Houston, Houston, Texas.
Chandra MohanDepartment of Biomedical Engineering, University of Houston, Houston, Texas.
Kirill V LarinDepartment of Biomedical Engineering, University of Houston, Houston, Texas.ORCID 0000-0002-5532-5027
University of Houston · USThe University of Texas Health Science Center at Houston · US

Funding

Optical Coherence Elastography of the CorneaR01EY022362 · NEI · UNIVERSITY OF HOUSTON · PI Salavat R Aglyamov, Kirill V Larin · 2012 to 2026
$6.7M
Optical elastography for assessment of myocardial regenerationR01HL130804 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI LARIN, KIRILL V, MARTIN, JAMES F · 2016 to 2019
$2.9M
NEI NIH HHS R01 EY022362NHLBI NIH HHS R01 HL130804NIH HHS 1R01HL130804NIH HHS 2R01EY022362
6 · The paper itself

Abstract

Systemic sclerosis (SSc-scleroderma) is an autoimmune disorder with high mortality rate that results in excessive accumulation of collagen in the skin and internal organs. Currently, the modified Rodnan Skin Score (mRSS) is the gold standard for evaluating the dermal thickening due to SSc. However, mRSS has noticeable inter- and intra-observer variabilities as quantified by the interclass correlation coefficient (ICC: 0.6-0.75). In this work, optical coherence elastography (OCE) combined with structural optical coherence tomography (OCT) image analysis was used to assess skin thickness in 12 SSc patients and healthy volunteers. Inter- (ICC: 0.62-0.99) and intra-observer (ICC > 0.90) assessment of OCT/OCE showed excellent reliability. Clinical assessments, including histologically assessed dermal thickness (DT), mRSS, and site-specific mRSS (SMRSS) were also performed for further validation. The OCE and OCT results from the forearm demonstrated the highest correlation (OCE: 0.78, OCT: 0.65) with SMRSS. Importantly, OCE and OCT had stronger correlations with the histological DT (OCT: r = .78 and OCE: r = .74) than SMRSS (r = .57), indicating the OCT/OCE could outperform semi-quantitative clinical assessments such as SMRSS. Overall, these results demonstrate that OCT/OCE could be useful for rapid, noninvasive and objective assessments of SSc onset and monitoring skin disease progression and treatment response.

Indexed as

Elasticity Imaging TechniquesMultimodal ImagingTomography, Optical CoherenceCase-Control StudiesDisease ProgressionHumansObserver VariationScleroderma, SystemicSkinmodified Rodnan Skin Scoreoptical coherence elastographyoptical coherence tomographysclerodermaskin thicknesssurface wavesystemic sclerosis

Identifiers

PMID31343837
PMCPMC7184265
OpenAlexW2962703295

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.