Evidence map›Paper›PMID 33485322›Full record

ArticleBMC musculoskeletal disorders2021

Fractal lacunarity of trabecular bone in vertebral MRI to predict osteoporotic fracture risk in over-fifties women. The LOTO study.

Annamaria Zaia, Roberto Rossi, Roberta Galeazzi, Manuela Sallei, Pierluigi Maponi, Pietro Scendoni

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. [Analysis of the Argentine residency system from the paradigm of Complexity Sciences]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2023
    Review
  3. Article
  4. MRI-based vertebral bone quality score effectively reflects bone quality in patients with osteoporotic vertebral compressive fractures.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022
    Article
  5. Review
  6. Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure.International journal of molecular sciences · 2021
    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

6 authors at 3 institutions in 1 country.

Annamaria ZaiaCentre of Innovative Models for Ageing Care and Technology, Scientific Direction, IRCCS INRCA, Via S. Margherita 5, I-60121, Ancona, Italy. a.zaia@inrca.it.ORCID http://orcid.org/0000-0003-2300-8024
Roberto RossiMedical Imaging Division, Geriatric Hospital, IRCCS INRCA, 60124, Ancona, Italy.
Roberta GaleazziAnalysis Laboratory, Geriatric Hospital, IRCCS INRCA, 60124, Ancona, Italy.
Manuela SalleiMedical Imaging Division, Geriatric Hospital, IRCCS INRCA, 60124, Ancona, Italy.
Pierluigi MaponiSchool of Science and Technology, University of Camerino, 62032, Camerino, MC, Italy.
Pietro ScendoniRheumatology Division, Geriatric Hospital, IRCCS INRCA, 63900, Fermo, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Nazionale di Riposo e Cura per Anziani · ITUniversità di Camerino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporotic fractures are a major cause of morbidity in the elderly. Menopausal women represent the population with the highest risk of early osteoporosis onset, often accompanied by vertebral fractures (VF). Bone mineral density (BMD) is commonly assessed by dual-energy X-ray absorptiometry (DXA) for osteoporosis diagnosis; however, BMD alone does not represent a significant predictor of fracture risk. Bone microarchitecture, instead, arises as a determinant of bone fragility independent of BMD. High-resolution magnetic resonance imaging (MRI) is an effective noninvasive/nonionizing tool for in vivo characterisation of trabecular bone microarchitecture (TBA). We have previously set up an MRI method able to characterise TBA changes in aging and osteoporosis by one parameter, trabecular bone lacunarity parameter β (TBLβ). Fractal lacunarity was used for TBA texture analysis as it describes discontinuity of bone network and size of bone marrow spaces, changes of which increase the risk of bone fracture. This study aims to assess the potential of TBLβ method as a tool for osteoporotic fracture risk.

methodsAn observational, cross-sectional, and prospective study on over-50s women at risk for VF was designed. TBLβ, our index of osteoporotic fracture risk, is the main outcome measure. It was calculated on lumbar vertebra axial images, acquired by 1.5 T MRI spin-echo technique, from 279 osteopenic/osteoporotic women with/without prior VF. Diagnostic power of TBLβ method, by Receiver Operating Characteristics (ROC) curve and other diagnostic accuracy measurements were compared with lumbar spine DXA-BMD.

resultsBaseline results show that TBLβ is able to discriminate patients with/without prevalent VF (p = 0.003). AUC (area under the curve from ROC) is 0.63 for TBLβ, statistically higher (p = 0.012) than BMD one (0.53). Contribution of TBLβ to prevalent VF is statistically higher (p < 0.001) than BMD (sensitivity: 66% vs. 52% respectively; OR: 3.20, p < 0.0001 for TBLβ vs. 1.31, p = 0.297 for BMD). Preliminary 1-year prospective results suggest that TBA contribution to incident VF is even higher (sensitivity: 73% for TBLβ vs. 55% for BMD; RR: 3.00, p = 0.002 for TBLβ vs. 1.31, p = 0.380 for BMD).

conclusionResults from this study further highlight the usefulness of TBLβ as a biomarker of TBA degeneration and an index of osteoporotic fracture risk.

Indexed as

Osteoporotic FracturesSpinal FracturesAbsorptiometry, PhotonAgedBone DensityCancellous BoneCross-Sectional StudiesFemaleFractalsHumansLumbar VertebraeMagnetic Resonance ImagingProspective StudiesBone mineral densityFractal lacunarityFracture riskMagnetic resonance imagingOsteoporosisTrabecular bone microarchitectureVertebral fracture

Identifiers

PMID33485322
PMCPMC7827988
OpenAlexW3122933474

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.