Evidence map›Paper›PMID 39020050›Full record

ArticleRadiologie (Heidelberg, Germany)2024

Detection of myeloma-associated osteolytic bone lesions with energy-integrating and photon-counting detector CT.

Martin Grözinger, Markus Wennmann, Stefan Sawall, Eckhard Wehrse, Sam Sedaghat, Christian Neelsen, Fabian Bauer, Hartmut Goldschmidt, Vivienn Weru, Christian H Ziener and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Radiologie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Martin GrözingerDivision of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Markus WennmannDivision of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Stefan SawallDivision of X-Ray Imaging and CT, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Eckhard WehrseDivision of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Sam SedaghatDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.
Christian NeelsenDivision of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Fabian BauerDivision of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Hartmut GoldschmidtDepartment of Medicine V, Multiple Myeloma Section, University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.
Vivienn WeruDivision of Biostatistics, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Christian H ZienerDivision of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Annette Kopp-SchneiderDivision of Biostatistics, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Heinz-Peter SchlemmerDivision of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany.
Lukas T RotkopfDivision of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Baden-Württemberg, Germany. l.rotkopf@dkfz-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA recent innovation in computed tomography (CT) imaging has been the introduction of photon-counting detector CT (PCD-CT) systems, which are able to register the number and the energy level of incoming x‑ray photons and have smaller detector elements compared with conventional CT scanners that operate with energy-integrating detectors (EID-CT).

objectivesThe study aimed to evaluate the potential benefits of a novel, non-CE certified PCD-CT in detecting myeloma-associated osteolytic bone lesions (OL) compared with a state-of-the-art EID-CT. MATERIALS AND

methodsNine patients with multiple myeloma stage III (according to Durie and Salmon) underwent magnetic resonance imaging (MRI), EID-CT, and PCD-CT of the lower lumbar spine and pelvis. The PCD-CT and EID-CT images of all myeloma lesions that were visible in clinical MRI scans were reviewed by three radiologists for corresponding OL. Additionally, the visualization of destructions to cancellous or cortical bone, and trabecular structures, was compared between PCD-CT and EID-CT.

resultsReaders detected 21% more OL in PCD-CT than in EID-CT images (138 vs. 109; p < 0.0001). The sensitivity advantage of PCD-CT in lesion detection increased with decreasing lesion size. The visualization quality of cancellous and cortical destructions as well as of trabecular structures was rated higher by all three readers in PCD-CT images (mean image quality improvements for PCD-CT over EID-CT were +0.45 for cancellous and +0.13 for cortical destructions).

conclusionsFor myeloma-associated OL, PCD-CT demonstrated significantly higher sensitivity, especially with small size. Visualization of bone tissue and lesions was considered significantly better in PCD-CT than in EID-CT. This implies that PCD-CT scanners could potentially be used in the early detection of myeloma-associated bone lesions.

Indexed as

Multiple MyelomaOsteolysisTomography, X-Ray ComputedAgedAged, 80 and overBone NeoplasmsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPhotonsSensitivity and SpecificityImage qualityLesion detectionMultiple myelomaOsteolytic lesionsPhoton-counting CT

Identifiers

PMID39020050
PMCPMC12662884

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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.