Single-source dual-energy computed tomography for the assessment of bone marrow oedema in vertebral compression fractures: a prospective diagnostic accuracy study.
Aged
Aged, 80 and over
Algorithms
Bone Marrow
/ diagnostic imaging
Bone Marrow Diseases
/ diagnosis
Edema
/ diagnosis
Female
Fractures, Compression
/ complications
Humans
Lumbar Vertebrae
/ diagnostic imaging
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Prospective Studies
ROC Curve
Reproducibility of Results
Spinal Fractures
/ complications
Tomography, X-Ray Computed
/ methods
Fractures, compression
Oedema
Spine
Tomography, x-ray computed
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
Jan 2019
Jan 2019
Historique:
received:
18
03
2018
accepted:
28
05
2018
revised:
16
05
2018
pubmed:
28
6
2018
medline:
29
1
2019
entrez:
28
6
2018
Statut:
ppublish
Résumé
To evaluate the diagnostic accuracy of single-source dual-energy computed tomography (DECT) for the detection of bone marrow oedema (BME) in patients with vertebral compression fractures. Patients over 50 years of age with radiographically suspected vertebral compression fracture of the thoracic or lumbar spine were prospectively enrolled. All patients underwent DECT with sequential acquisition of 80 and 135 kVp datasets on a 320-row detector CT scanner and 1.5-Tesla magnetic resonance imaging (MRI) including T1-weighted and short-tau inversion recovery (STIR) sequences. Virtual non-calcium (VNCa) images were reconstructed using a three-material decomposition algorithm. Vertebrae with height loss in CT were scored for the presence of BME in both MRI and DECT and used to determine signal- and contrast-to-noise ratios (SNR and CNR). Contingency analysis using MRI as standard of reference and Fleiss's kappa were calculated. IRB approval was obtained. In total 192 vertebral compression fractures in 70 patients (23 men, 47 women; mean age 70.7 years (SD 9.8)) were included in our analysis. DECT showed a reader-dependent sensitivity of 72% and specificity of 70% for BME. Fleiss's kappa was .40 for DECT and .58 for MRI. T1-weighted images had significantly better SNR and CNR compared to STIR, CT, and VNCa (p < .0001); however, there was no difference between STIR and VNCa. VNCa images depict BME with adequate sensitivity and specificity and can be acquired on a single-source system. Image quality is adequate but trained readers are needed for image interpretation. • Dual-energy CT in a single-source technique can help to detect bone marrow oedema in patients with vertebral compression fractures. • However, given the inferior inter-rater reliability and limited specificity compared to MRI, experienced readers are needed for image interpretation. • Dual-energy CT of the spine has limited sensitivity for the detection of bone marrow oedema in vertebra with previous surgical intervention.
Identifiants
pubmed: 29948088
doi: 10.1007/s00330-018-5568-y
pii: 10.1007/s00330-018-5568-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
31-39Références
J Am Geriatr Soc. 2000 Mar;48(3):241-9
pubmed: 10733048
Osteoporos Int. 2000;11(8):680-7
pubmed: 11095171
Spine (Phila Pa 1976). 2006 Sep 1;31(19):2213-20
pubmed: 16946656
Healthc Policy. 2009 Feb;4(3):76-86
pubmed: 19377359
AJR Am J Roentgenol. 2012 Nov;199(5 Suppl):S78-86
pubmed: 23097171
AJR Am J Roentgenol. 2013 Mar;200(3):618-23
pubmed: 23436852
Radiology. 2013 Nov;269(2):525-33
pubmed: 23801776
J Multidiscip Healthc. 2013 Jun 17;6:205-14
pubmed: 23818797
Skeletal Radiol. 2014 Apr;43(4):485-92
pubmed: 24445957
Spine J. 2014 Jul 1;14(7):1256-64
pubmed: 24583791
J Comput Assist Tomogr. 2014 Sep-Oct;38(5):802-5
pubmed: 24834889
J Am Coll Radiol. 2014 Aug;11(8):757-63
pubmed: 24935074
Eur J Radiol. 2015 May;84(5):892-900
pubmed: 25656096
Br J Radiol. 2016;89(1057):20150300
pubmed: 26537691
Radiology. 2016 Aug;280(2):510-9
pubmed: 26928067
Bone. 2016 Jul;88:165-169
pubmed: 27131511
Osteoporos Int. 2016 Oct;27(10):2979-88
pubmed: 27165285
Exp Clin Endocrinol Diabetes. 2016 Sep;124(8):466-473
pubmed: 27219881
Skeletal Radiol. 2016 Sep;45(9):1303-6
pubmed: 27270922
Am Fam Physician. 2016 Jul 1;94(1):44-50
pubmed: 27386723
J Comput Assist Tomogr. 2016 Nov/Dec;40(6):846-850
pubmed: 27768619
Eur J Radiol. 2017 Feb;87:59-65
pubmed: 28065376
J Comput Assist Tomogr. 2017 Jan;41(1):1-7
pubmed: 28081050
Radiology. 2017 Jul;284(1):161-168
pubmed: 28240561
Arch Osteoporos. 2017 Dec;12(1):57
pubmed: 28634891
Eur J Radiol. 2017 Oct;95:124-129
pubmed: 28987656
Eur J Radiol. 2018 Apr;101:92-96
pubmed: 29571808
Eur Radiol. 2018 Oct;28(10):4182-4194
pubmed: 29679212
AJNR Am J Neuroradiol. 1995 Aug;16(7):1385-92
pubmed: 7484620
J Bone Miner Res. 1993 Sep;8(9):1137-48
pubmed: 8237484