Evidence map›Paper›PMID 31793292›Full record

ArticleAnalytical chemistry2020

Automated Osteosclerosis Grading of Clinical Biopsies Using Infrared Spectroscopic Imaging.

Rupali Mankar, Carlos E Bueso-Ramos, C Cameron Yin, Juliana Elisa Hidalgo-Lopez, Sebastian Berisha, Mustafa Kansiz, David Mayerich

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Exosome mediated biological functions within skeletal microenvironment.Frontiers in bioengineering and biotechnology · 2022
    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

7 authors at 2 institutions in 1 country.

Rupali MankarDepartment of Electrical and Computer Engineering , University of Houston , Houston , Texas 77004 , United States.ORCID 0000-0001-5111-2406
Carlos E Bueso-RamosDepartment of Hematopathology , MD Anderson Cancer Center , Houston , Texas 77030 , United States.
C Cameron YinDepartment of Hematopathology , MD Anderson Cancer Center , Houston , Texas 77030 , United States.
Juliana Elisa Hidalgo-LopezDepartment of Hematopathology , MD Anderson Cancer Center , Houston , Texas 77030 , United States.ORCID 0000-0002-8057-5837
Sebastian BerishaDepartment of Electrical and Computer Engineering , University of Houston , Houston , Texas 77004 , United States.
Mustafa KansizPhotothermal Spectroscopy Corp. , Santa Barbara , California 93101 , United States.
David MayerichDepartment of Electrical and Computer Engineering , University of Houston , Houston , Texas 77004 , United States.ORCID 0000-0002-3949-6133
The University of Texas MD Anderson Cancer Center · USUniversity of Houston · US

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Structural and Molecular Phenotyping of Embryonic Development through Multi-Modal Optical ImagingR01HL146745 · NHLBI · UNIVERSITY OF HOUSTON · PI MAYERICH, DAVID · 2019 to 2023
$3.7M
NHLBI NIH HHS R01 HL146745NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

Osteosclerosis and myefibrosis are complications of myeloproliferative neoplasms. These disorders result in excess growth of trabecular bone and collagen fibers that replace hematopoietic cells, resulting in abnormal bone marrow function. Treatments using imatinib and JAK2 pathway inhibitors can be effective on osteosclerosis and fibrosis; therefore, accurate grading is critical for tracking treatment effectiveness. Current grading standards use a four-class system based on analysis of biopsies stained with three histological stains: hematoxylin and eosin (H&E), Masson's trichrome, and reticulin. However, conventional grading can be subjective and imprecise, impacting the effectiveness of treatment. In this Article, we demonstrate that mid-infrared spectroscopic imaging may serve as a quantitative diagnostic tool for quantitatively tracking disease progression and response to treatment. The proposed approach is label-free and provides automated quantitative analysis of osteosclerosis and collagen fibrosis.

Indexed as

BiopsyBone and BonesCollagenDisease ProgressionFibrosisHumansOsteosclerosisSpectroscopy, Fourier Transform InfraredCollagen

Identifiers

PMID31793292
PMCPMC7055712
OpenAlexW2993326132

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.