Evidence map›Paper›PMID 32829037›Full record

ArticleBone2020

Conventional finite element models estimate the strength of metastatic human vertebrae despite alterations of the bone's tissue and structure.

Marc A Stadelmann, Denis E Schenk, Ghislain Maquer, Christopher Lenherr, Florian M Buck, Dieter D Bosshardt, Sven Hoppe, Nicolas Theumann, Ron N Alkalay, Philippe K Zysset

Open access · hybridAbstract read
In one paragraph

Article in Bone, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 54 citations in OpenAlex.

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  10. Can Multi-Vertebral CT-Based Finite Element Models Accurately Predict Strains? An In Vitro Validation Study.International journal for numerical methods in biomedical engineering · 2025
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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 2 countries.

Marc A StadelmannARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010 Bern, Switzerland.
Denis E SchenkARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010 Bern, Switzerland.
Ghislain MaquerARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010 Bern, Switzerland.
Christopher LenherrARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010 Bern, Switzerland.
Florian M BuckUniversity of Zurich & MRI Schulthess Clinic, Zurich, Switzerland.
Dieter D BosshardtRobert K. Schenk Laboratory of Oral Histology, School of Dental Medicine, University of Bern, Switzerland.
Sven HoppeDepartment of Orthopedic Surgery, Inselspital, Bern University Hospital, Switzerland.
Nicolas TheumannClinique Bois-Cerf, Radiology Department, Lausanne, Switzerland.
Ron N AlkalayCenter for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA.
Philippe K ZyssetARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010 Bern, Switzerland. Electronic address: philippe.zysset@artorg.unibe.ch.
University of Bern · CHBeth Israel Deaconess Medical Center · USHirslanden Clinique Bois-Cerf · CHUniversity Hospital of Bern · CHUniversity of Zurich · CH

Funding

Predicting Fracture Risk in Patients Treated with Radiotherapy for Spinal Metastatic DiseaseR56AR075964 · NIAMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ALKALAY, RON N, BALBONI, TRACY A. · 2019 to 2019
$662k
Lesion-specific QCT Improves Prediction of Pathologic Vertebrae Fracture LoadR21AR066916 · NIAMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ALKALAY, RON N · 2015 to 2016
$425k
Effects of non-enzymatic glycation and collagen crosslinks on bone fragilityR56AG020618 · NIA · RENSSELAER POLYTECHNIC INSTITUTE · PI VASHISHTH, DEEPAK · 2017 to 2017
$386k
NIAMS NIH HHS R21 AR066916NIAMS NIH HHS R56 AR075964NIA NIH HHS R56 AG020618
6 · The paper itself

Abstract

introductionPathologic vertebral fractures are a major clinical concern in the management of cancer patients with metastatic spine disease. These fractures are a direct consequence of the effect of bone metastases on the anatomy and structure of the vertebral bone. The goals of this study were twofold. First, we evaluated the effect of lytic, blastic and mixed (both lytic and blastic) metastases on the bone structure, on its material properties, and on the overall vertebral strength. Second, we tested the ability of bone mineral content (BMC) measurements and standard FE methodologies to predict the strength of real metastatic vertebral bodies.

methodsFifty-seven vertebral bodies from eleven cadaver spines containing lytic, blastic, and mixed metastatic lesions from donors with breast, esophageal, kidney, lung, or prostate cancer were scanned using micro-computed tomography (μCT). Based on radiographic review, twelve vertebrae were selected for nanoindentation testing, while the remaining forty-five vertebrae were used for assessing their compressive strength. The μCT reconstruction was exploited to measure the vertebral BMC and to establish two finite element models. 1) a micro finite element (μFE) model derived at an image resolution of 24.5 μm and 2) homogenized FE (hFE) model derived at a resolution of 0.98 mm. Statistical analyses were conducted to measure the effect of the bone metastases on BV/TV, indentation modulus (E

resultsBlastic vertebral bodies exhibit significantly higher BV/TV compared to the mixed (p = 0.0205) and lytic (p = 0.0216) vertebral bodies. No significant differences were found between lytic and mixed vertebrae (p = 0.7584). Blastic bone tissue exhibited a 5.8% lower median E DISCUSSION: Our findings show that tumour-induced osteoblastic metastases lead to slightly, but significantly lower bone tissue properties compared to controls, while osteolytic lesions appear to have a negligible impact. These effects may be attributed to the lower mineralization and woven nature of bone forming in blastic lesions whilst the material properties of bone in osteolytic vertebrae appeared little changed. The moderate association between BMC- and FE-based predictions to fracture strength suggest that vertebral strength is affected by the changes of bone mass induced by the metastatic lesions, rather than altered tissue properties. In a broader context, standard hFE approaches generated from CTs at clinical resolution are robust to the lesion type when predicting vertebral strength. These findings open the door for the development of FE-based prediction tools that overcomes the limitations of BMC in accounting for shape and size of the metastatic lesions. Such tools may help clinicians to decide whether a patient needs the prophylactic fixation of an impending fracture.

Indexed as

NeoplasmsSpineBiomechanical PhenomenaBone DensityFinite Element AnalysisHumansMaleX-Ray MicrotomographyBone metastasesFinite element modellingin vitro biomechanical testingMicro-computed tomographyNanoindentationVertebral body

Identifiers

PMID32829037
PMCPMC9206866
OpenAlexW3057906274

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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.