Evidence map›Paper›PMID 33692379›Full record

ArticleScientific reports2021

Quantitative dual contrast photon-counting computed tomography for assessment of articular cartilage health.

Petri Paakkari, Satu I Inkinen, Miitu K M Honkanen, Mithilesh Prakash, Rubina Shaikh, Miika T Nieminen, Mark W Grinstaff, Janne T A Mäkelä, Juha Töyräs, Juuso T J Honkanen

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Edge-illumination spectral phase-contrast tomography.Physics in medicine and biology · 2024
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  11. Osteoarthritis year in review 2022: imaging.Osteoarthritis and cartilage · 2023
    Review
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  17. Latest advancements in imaging techniques in OA.Therapeutic advances in musculoskeletal disease · 2022
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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

10 authors at 5 institutions in 3 countries.

Petri PaakkariDepartment of Applied Physics, University of Eastern Finland, 70210, Kuopio, Finland. petri.paakkari@uef.fi.
Satu I InkinenResearch Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
Miitu K M HonkanenDepartment of Applied Physics, University of Eastern Finland, 70210, Kuopio, Finland.
Mithilesh PrakashA. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Rubina ShaikhDepartment of Applied Physics, University of Eastern Finland, 70210, Kuopio, Finland.
Miika T NieminenResearch Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
Mark W GrinstaffDepartments of Biomedical Engineering, Chemistry and Medicine, Boston University, Boston, USA.
Janne T A MäkeläDepartment of Applied Physics, University of Eastern Finland, 70210, Kuopio, Finland.
Juha TöyräsDepartment of Applied Physics, University of Eastern Finland, 70210, Kuopio, Finland.
Juuso T J HonkanenCenter of Oncology, Kuopio University Hospital, Kuopio, Finland.
University of Eastern Finland · FIKuopio University Hospital · FIBoston University · USOulu University Hospital · FIUniversity of Oulu · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photon-counting detector computed tomography (PCD-CT) is a modern spectral imaging technique utilizing photon-counting detectors (PCDs). PCDs detect individual photons and classify them into fixed energy bins, thus enabling energy selective imaging, contrary to energy integrating detectors that detects and sums the total energy from all photons during acquisition. The structure and composition of the articular cartilage cannot be detected with native CT imaging but can be assessed using contrast-enhancement. Spectral imaging allows simultaneous decomposition of multiple contrast agents, which can be used to target and highlight discrete cartilage properties. Here we report, for the first time, the use of PCD-CT to quantify a cationic iodinated CA4+ (targeting proteoglycans) and a non-ionic gadolinium-based gadoteridol (reflecting water content) contrast agents inside human osteochondral tissue (n = 53). We performed PCD-CT scanning at diffusion equilibrium and compared the results against reference data of biomechanical and optical density measurements, and Mankin scoring. PCD-CT enables simultaneous quantification of the two contrast agent concentrations inside cartilage and the results correlate with the structural and functional reference parameters. With improved soft tissue contrast and assessment of proteoglycan and water contents, PCD-CT with the dual contrast agent method is of potential use for the detection and monitoring of osteoarthritis.

Indexed as

AgedCartilage, ArticularFemaleHumansMaleRadiographic Image Enhancement

Identifiers

PMID33692379
PMCPMC7946949
OpenAlexW3133866690

What OpenQuestion 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 OpenQuestion graph.