Evidence map›Paper›PMID 42283929›Full record

ArticleAnnals of biomedical engineering2026

Characterizing Meniscal Calcifications with Photon Counting-Based Dual-Energy Computed Tomography.

Eeva Alina Nevanranta, Ville-Pauli Karjalainen, Mikael Brix, Iida Hellberg, Aleksandra Turkiewicz, Bijay Shakya, Patrik Önnerfjord, Sampo Ylisiurua, Amanda Sjögren, Khaled Elkhouly and 5 more

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Eeva Alina NevanrantaFaculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Pob 5000, FI-90014, Oulu, Finland.
Ville-Pauli KarjalainenFaculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Pob 5000, FI-90014, Oulu, Finland.
Mikael BrixFaculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Pob 5000, FI-90014, Oulu, Finland.
Iida HellbergFaculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Pob 5000, FI-90014, Oulu, Finland.
Aleksandra TurkiewiczOrthopaedics, Clinical Epidemiology Unit, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.
Bijay ShakyaFaculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Pob 5000, FI-90014, Oulu, Finland.
Patrik ÖnnerfjordDepartment of Clinical Sciences Lund, Rheumatology and Molecular Skeletal Biology, Faculty of Medicine, Lund University, Lund, Sweden.
Sampo YlisiuruaFaculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Pob 5000, FI-90014, Oulu, Finland.
Amanda SjögrenOrthopaedics, Clinical Epidemiology Unit, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.
Khaled ElkhoulyFaculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Pob 5000, FI-90014, Oulu, Finland.
Velocity HughesOrthopaedics, Clinical Epidemiology Unit, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.
Jon TjörnstrandOrthopaedics, Department of Clinical Sciences Lund, Skane University Hospital, Lund University, Lund, Sweden.
Simo SaarakkalaFaculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Pob 5000, FI-90014, Oulu, Finland.
Martin EnglundOrthopaedics, Clinical Epidemiology Unit, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.
Mikko A J FinniläFaculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Pob 5000, FI-90014, Oulu, Finland. mikko.finnila@oulu.fi.ORCID http://orcid.org/0000-0002-3348-5759

Funding

Academy of Finland 347445Academy of Finland 353755Academy of Finland 359186Instrumentariumin Tiedesäätiö 210036Nordforsk 116406Suomen Kulttuurirahasto 00220451
6 · The paper itself

Abstract

purposeMeniscal calcifications are associated with meniscal degeneration and osteoarthritis (OA). However, differentiating calcification types, such as basic calcium phosphate (BCP) and calcium pyrophosphate (CPP), remains challenging in vivo. Therefore, assessing new imaging possibilities is crucial in understanding calcification pathologies and their relationship with OA. This study investigated whether dual-energy computed tomography with a photon counting detector (PCD-DECT) can distinguish between BCP and CPP, using Raman spectroscopy as reference.

methods82 meniscus samples from 41 donors were imaged using PCD-DECT at 120kVp. Data were collected in two energy bins (20-50 keV and 50-120 keV). Raman spectroscopy was used to classify the calcifications as BCP or CPP. Among 82 samples, Raman spectroscopy identified 36 samples with only either BCP or CPP calcifications, which were included in the subsequent analysis. Regression models were used to compare the dual-energy index (DEI) and to assess the low-energy values for corresponding high-energy values between calcification types.

resultsThe highest difference observed between BCP and CPP in comparison of low-energy values for corresponding high-energy values was 166HU (95%CI: 73, 259) at high-energy value of 500HU and the difference between DEI values was 0.035 (95%CI: 0.011, 0.059), suggesting a potential difference in the measured parameters of calcification types.

conclusionPCD-DECT allowed the measurement of BCP and CPP calcifications ex vivo, suggesting its potential for in vivo applications in the future, which could help understand calcification processes and evaluate the efficacy of disease-modifying drugs targeting calcification inhibition.

Indexed as

Basic calcium phosphateCalcium pyrophosphateMeniscal calcificationsOsteoarthritisPhoton-counting CT

Identifiers

PMID42283929

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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.