Accuracy of iodine density thresholds for the separation of vertebral bone metastases from healthy-appearing trabecular bone in spectral detector computed tomography.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 12 04 2018
accepted: 19 10 2018
revised: 14 09 2018
pubmed: 14 12 2018
medline: 25 7 2019
entrez: 8 12 2018
Statut: ppublish

Résumé

To evaluate quantitative iodine density mapping (IDM) with spectral detector computed tomography (SDCT) as a quantitative biomarker for separation of vertebral trabecular bone metastases (BM) from healthy-appearing trabecular bone (HTB). IRB-approved retrospective single-center-study of portal venous SDCT datasets acquired between June 2016 and March 2017. Inclusion of 43 consecutive cancer patients with BM and 40 without. Target lesions and non-affected control vertebrae were defined using follow-up imaging, MRI, and/or bone scintigraphy. ID and standard deviation were determined with ROI measures by two readers in (a) bone metastases, (b) HTB of BM patients and controls, and (c) ID of various vessels. Volumetric bone mineral density (vBMD) of the lumbar spine and age were recorded. Multivariate ROC analyses und Wilcoxon test were used to determine thresholds for separation of BM and HTB. p < 0.05 was considered significant. ID measurements of 40 target lesions and 83 reference measurements of HTB were acquired. Age (p < 0.0001) and vBMD (p < 0.05) affected ID measurements independently in multivariate models. There were significant differences of ID between metastases (n = 43) and HTB ID (n = 124; mean 5.5 ± 0.9 vs. 3.5 ± 0.9; p < 0.0001), however, with considerable overlap. In univariate analysis, increased ID discriminated bone lesions (AUC 0.90) with a maximum combined specificity/sensitivity of 77.5%/90.7% when applying a threshold of 4.5 mg/ml. Multivariate regression models improved significantly when considering vBMD, the noise of ID, and vertebral venous ID (AUC 0.98). IDM of SDCT yielded a statistical separation of vertebral bone lesions and HTB. Adjustment for confounders such as age and lumbar vBMD as well as for vertebral venous ID and lesion heterogeneity improved discrimination of trabecular lesions. • SDCT iodine density mapping provides the possibility for quantitative analysis of iodine uptake in tissue, which allows to differentiate bone lesions from healthy bone marrow. • Age and vBMD have a significant impact on iodine density measurements. • Iodine density measured in SDCT yielded highest sensitivity and specificity for the statistical differentiation of vertebral trabecular metastases and healthy trabecular bone using an iodine density threshold of 4.5 mg/ml (most performant)-5.0 mg/ml (optimized for specificity).

Identifiants

pubmed: 30523450
doi: 10.1007/s00330-018-5843-y
pii: 10.1007/s00330-018-5843-y
doi:

Substances chimiques

Iodine Radioisotopes 0
Iodine 9679TC07X4

Types de publication

Journal Article

Langues

eng

Pagination

3253-3261

Références

Q J Nucl Med. 2001 Mar;45(1):53-64
pubmed: 11456376
Nat Rev Cancer. 2002 Aug;2(8):584-93
pubmed: 12154351
J Bone Miner Res. 2003 Feb;18(2):190-4
pubmed: 12568395
Q J Nucl Med. 2003 Sep;47(3):171-87
pubmed: 12897709
N Engl J Med. 2004 Apr 15;350(16):1655-64
pubmed: 15084698
J Natl Cancer Inst. 1990 Jan 3;82(1):4-6
pubmed: 1688381
J Am Acad Orthop Surg. 2006 Oct;14(11):587-98
pubmed: 17030592
J Neuroradiol. 2007 Dec;34(5):311-21
pubmed: 17628678
Eur J Cancer. 2009 Jan;45(2):228-47
pubmed: 19097774
Nat Rev Cancer. 2009 Apr;9(4):239-52
pubmed: 19279573
Eur J Radiol. 2011 Sep;79(3):375-81
pubmed: 20223609
Br J Radiol. 1991 May;64(761):409-12
pubmed: 2036562
Cell. 2011 Mar 4;144(5):646-74
pubmed: 21376230
Radiographics. 2011 Jul-Aug;31(4):1031-46; discussion 1047-50
pubmed: 21768237
Med Phys. 2012 Nov;39(11):6572-9
pubmed: 23127051
Radiology. 2014 Mar;270(3):825-33
pubmed: 24475821
Eur J Radiol. 2014 Jul;83(7):1216-1221
pubmed: 24820064
Dtsch Arztebl Int. 2014 Oct 31;111(44):741-7
pubmed: 25412631
Eur J Radiol. 2015 May;84(5):901-7
pubmed: 25661696
Radiology. 2015 Sep;276(3):637-53
pubmed: 26302388
Cancer Res. 1989 Dec 1;49(23):6449-65
pubmed: 2684393
Clin Breast Cancer. 2016 Oct;16(5):402-409
pubmed: 27346706
Invest Radiol. 2017 Feb;52(2):288-294
pubmed: 28002240
Eur Radiol. 2017 Sep;27(9):3904-3912
pubmed: 28168368
Invest Radiol. 2017 Aug;52(8):470-476
pubmed: 28422806
Clin Neuroradiol. 2018 Dec;28(4):515-522
pubmed: 28536753
Eur J Radiol. 2017 Aug;93:143-148
pubmed: 28668408
Biometrics. 1988 Sep;44(3):837-45
pubmed: 3203132
Radiology. 1980 Dec;137(3):679-86
pubmed: 7003648
Int Arch Allergy Immunol. 1995 May-Jun;107(1-3):233-5
pubmed: 7542074

Auteurs

Jan Borggrefe (J)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany. Jan.Borggrefe@uk-koeln.de.

Victor-Frederic Neuhaus (VF)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany.

Markus Le Blanc (M)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany.

Nils Grosse Hokamp (N)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany.

Volker Maus (V)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany.

Anastasios Mpotsaris (A)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany.

Simon Lennartz (S)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany.

Daniel Pinto Dos Santos (D)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany.

David Maintz (D)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany.

Nuran Abdullayev (N)

Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50935, Köln, Germany.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH