Evidence map›Paper›PMID 41838307›Full record

ArticleEuropean radiology experimental2026

Photon-counting CT-guided bone biopsy with real-time bone marrow edema mapping.

B Alvarez de Sierra Garcia, C Urtasun-Iriarte, P Nieto, A Alonso Burgos

Abstract read
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Article in European radiology experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

B Alvarez de Sierra GarciaDepartment of Radiology, Clínica Universidad de Navarra, Madrid, Spain. balvarezdesierra@gmail.com.ORCID http://orcid.org/0000-0002-6989-7472
C Urtasun-IriarteDepartment of Radiology, Clínica Universidad de Navarra, Madrid, Spain.
P NietoDepartment of Radiology, Clínica Universidad de Navarra, Madrid, Spain.
A Alonso BurgosDepartment of Radiology, Clínica Universidad de Navarra, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveComputed tomography-guided biopsies are needed to diagnose bone lesions, but can sometimes be challenging. We evaluated the feasibility and usefulness of photon-counting computed tomography (PCCT)-guided bone biopsies, focusing on real-time bone marrow oedema (BME) mapping to optimise diagnostic yield. MATERIALS AND

methodsThis retrospective single-centre study included procedures performed from September 2024 to May 2025 using a first-generation dual-source PCCT scanner with Quantum HD mode. Ten consecutive patients underwent PCCT-guided bone biopsy with real-time BME reconstructions. The reference standard was established using histopathology or microbiological confirmation when available; clinical and ≥ 3-month radiologic follow-up for nondiagnostic or discordant results. Statistical analysis included descriptive statistics, independent unpaired t-tests, and correlation analysis (SPSS v22.0, RStudio).

resultsTen patients, five women and five men, aged 60.5 ± 13.5 years (mean ± standard deviation), were included in the final analysis. The overall diagnostic yield was 70% (7/10), with a diagnostic accuracy of 87.5% (7/8) for cases with a definitive reference standard. Final diagnoses comprised tumour bone metastases (n = 7, 70%), bone osteomyelitis (n = 1, 10%), and bone marrow deposition disease (n = 2, 20%). Mean radiation dose (dose-length product) was 644.5 ± 112.1 mGy·cm. Monoenergetic 70-keV imaging showed significant differences between mean HU values of lytic (42.6) and sclerotic lesions (476.2) (p = 0.009), with a strong negative correlation between lesion morphology (sclerotic versus lytic) and monoenergetic 70-keV attenuation values (r = -0.84; p = 0.002).

conclusionPCCT-guided bone biopsy with real-time BME mapping proved feasible and showed encouraging diagnostic performance in this small exploratory cohort. Larger validation studies are needed. RELEVANCE STATEMENT: By combining monoenergetic images and BME mapping, PCCT-guided bone biopsy improves lesion visualisation, operator confidence, procedural efficiency, and overall safety for diagnostic tissue sampling and active disease targeting. KEY POINTS: Accurate targeting of active disease within complex bone lesions during CT-guided biopsy remains challenging sometimes. PCCT-guided biopsy with real-time BME mapping can enhance lesion targeting and procedural efficiency. PCCT-guided biopsy may improve safety, diagnostic accuracy, and operator confidence.

Indexed as

Bone and BonesBone MarrowBone Marrow DiseasesEdemaImage-Guided BiopsyTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedPhotonsRetrospective StudiesBone diseasesBone marrowImage-guided biopsyOedemaTomography (x-ray computed).

Identifiers

PMID41838307
PMCPMC12992892

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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.