Comparison of superb microvascular imaging (SMI) quantified with ImageJ to quantified contrast-enhanced ultrasound (qCEUS) in liver metastases-a pilot study.

Doppler ultrasound Liver computer-assisted image analyses contrast-enhanced ultrasound metastasis

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 07 04 2021
accepted: 12 10 2021
entrez: 14 3 2022
pubmed: 15 3 2022
medline: 15 3 2022
Statut: ppublish

Résumé

The aim of the study was to compare methods for the assessment of vascularisation of liver metastases (LM) between superb microvascular imaging (SMI), contrast-enhanced ultrasound, and microvascular density (MVD). SMI results were quantified as the vascularisation quotient (VQ), based on a grey-scale analysis with ImageJ image software. Those results were compared to contrast-enhanced ultrasonography (CEUS) values, calculated with VueBox This study included 13 patients with LM. The VQ showed a strong correlation with the quantified parameters of contrast-enhanced ultrasound. The parameters of quantified contrast-enhanced ultrasound compared with quantified SMI showed the following statistical correlations: peak enhancement (PE), in arbitrary unit (a.u.) (r=0.72104, P=0.0054), PE in Decibel (dB) (r=0.65918, P=0.00141), Wash-in- Area Under the Curve (WiAUC) in a.u. (r=0.63604, P=0.00194), Wash-in Perfusion-Index (WiPI) in a.u. (r=0.73337, P=0.0043), Wash-in Perfusion-Index (WiPI) in dB (r=0.65642, P=0.0194), Wash-in-Rate (WiR) in a.u. (r=0.7304, P=0.0036) and Wash-in-Rate (WiR) in dB (r=0.82897, P=0.0005). Comparison of the two methods, SMI and contrast-enhanced ultrasound (CEUS), for quantitative assessment of vascularisation of LM showed good correlation. The contrast-independent Doppler technique SMI can qualitatively assess the vascularisation of LM.

Sections du résumé

Background UNASSIGNED
The aim of the study was to compare methods for the assessment of vascularisation of liver metastases (LM) between superb microvascular imaging (SMI), contrast-enhanced ultrasound, and microvascular density (MVD).
Methods UNASSIGNED
SMI results were quantified as the vascularisation quotient (VQ), based on a grey-scale analysis with ImageJ image software. Those results were compared to contrast-enhanced ultrasonography (CEUS) values, calculated with VueBox
Results UNASSIGNED
This study included 13 patients with LM. The VQ showed a strong correlation with the quantified parameters of contrast-enhanced ultrasound. The parameters of quantified contrast-enhanced ultrasound compared with quantified SMI showed the following statistical correlations: peak enhancement (PE), in arbitrary unit (a.u.) (r=0.72104, P=0.0054), PE in Decibel (dB) (r=0.65918, P=0.00141), Wash-in- Area Under the Curve (WiAUC) in a.u. (r=0.63604, P=0.00194), Wash-in Perfusion-Index (WiPI) in a.u. (r=0.73337, P=0.0043), Wash-in Perfusion-Index (WiPI) in dB (r=0.65642, P=0.0194), Wash-in-Rate (WiR) in a.u. (r=0.7304, P=0.0036) and Wash-in-Rate (WiR) in dB (r=0.82897, P=0.0005).
Conclusions UNASSIGNED
Comparison of the two methods, SMI and contrast-enhanced ultrasound (CEUS), for quantitative assessment of vascularisation of LM showed good correlation. The contrast-independent Doppler technique SMI can qualitatively assess the vascularisation of LM.

Identifiants

pubmed: 35284256
doi: 10.21037/qims-21-383
pii: qims-12-03-1762
pmc: PMC8899953
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1762-1774

Informations de copyright

2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/qims-21-383). The authors have no conflicts of interest to declare.

Références

Eur J Radiol. 2010 Aug;75(2):e22-6
pubmed: 19962262
Ultrasound Med Biol. 2020 Mar;46(3):498-517
pubmed: 31813583
Ultraschall Med. 2020 Feb;41(1):29-35
pubmed: 31362328
Ultrasound Q. 2016 Mar;32(1):67-74
pubmed: 25900162
J Am Coll Dent. 2014 Summer;81(3):14-8
pubmed: 25951678
Br J Radiol. 2010 Jul;83(991):590-5
pubmed: 20413447
Eur J Radiol. 2016 May;85(5):915-21
pubmed: 27130051
BMC Cancer. 2014 Feb 07;14:72
pubmed: 24507660
BMC Bioinformatics. 2017 Nov 29;18(1):529
pubmed: 29187165
Abdom Radiol (NY). 2016 Jan;41(1):25-32
pubmed: 26830608
Pathol Res Pract. 2018 Aug;214(8):1136-1141
pubmed: 29935812
J Med Ultrason (2001). 2018 Jul;45(3):443-452
pubmed: 29248966
Ultrasonography. 2020 Jan;39(1):85-93
pubmed: 31759383
Ultraschall Med. 2012 Jul;33 Suppl 1:S31-8
pubmed: 22723027
Ultraschall Med. 2012 Aug;33(4):344-51
pubmed: 22843433
J Ultrasound Med. 2018 Dec;37(12):2915-2924
pubmed: 29683199
Ann Vasc Surg. 2017 Apr;40:136-145
pubmed: 27671455
Eur J Pediatr Surg. 2017 Feb;27(1):20-25
pubmed: 27699732
J Ultrasound Med. 2019 Nov;38(11):2811-2820
pubmed: 30953387
Dig Liver Dis. 2010 Sep;42(9):635-41
pubmed: 20172770
Hepatol Int. 2014 Apr;8(2):260-5
pubmed: 26202507
J Int Med Res. 2020 Jun;48(6):300060520930151
pubmed: 32529869
Radiographics. 2015 Oct;35(6):1738-50
pubmed: 26466182
Clin Exp Nephrol. 2020 Jan;24(1):1-44
pubmed: 31709463
Ultrasound Q. 2020 Dec;36(4):363-370
pubmed: 32956243
Ultraschall Med. 2021 Apr;42(2):e20
pubmed: 32717752
Cancer Imaging. 2019 Dec 30;19(1):92
pubmed: 31888768
J Neurol Surg A Cent Eur Neurosurg. 2020 May;81(3):213-219
pubmed: 31777051
Radiology. 2015 Jul;276(1):228-32
pubmed: 25942417
Br J Radiol. 2016 Oct;89(1066):20160546
pubmed: 27529640
Ultrasound Med Biol. 1990;16(6):553-9
pubmed: 2238263
J Ultrasound Med. 2019 Oct;38(10):2751-2760
pubmed: 30919993
J Clin Endocrinol Metab. 2015 Feb;100(2):376-83
pubmed: 25375985
Phys Ther. 2012 Jun;92(6):853-64
pubmed: 22403091
Ultrasound Med Biol. 2020 Feb;46(2):286-296
pubmed: 31753600
Ultrasonography. 2018 Apr;37(2):98-106
pubmed: 29025210
World J Gastroenterol. 2016 Jul 14;22(26):6057-64
pubmed: 27468197
Korean J Radiol. 2019 May;20(5):781-790
pubmed: 30993929
Clin Hemorheol Microcirc. 2016;64(3):483-490
pubmed: 27935548
Health Technol Assess. 2013 Apr;17(16):1-243
pubmed: 23611316
Z Gastroenterol. 2013 Mar;51(3):271-7
pubmed: 23487356
World J Gastroenterol. 2017 Nov 21;23(43):7765-7775
pubmed: 29209117
Cancer Manag Res. 2019 Jun 13;11:5481-5487
pubmed: 31354354
Clin Hemorheol Microcirc. 2019;71(1):39-51
pubmed: 29865043

Auteurs

Wolfgang Kratzer (W)

Department of Internal Medicine I, University Hospital Ulm, Ulm, Germany.

Melanie Güthle (M)

Department of Internal Medicine I, University Hospital Ulm, Ulm, Germany.

Felix Dobler (F)

Department of Internal Medicine I, University Hospital Ulm, Ulm, Germany.

Thomas Seufferlein (T)

Department of Internal Medicine I, University Hospital Ulm, Ulm, Germany.

Tilmann Graeter (T)

Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.

Julian Schmidberger (J)

Department of Internal Medicine I, University Hospital Ulm, Ulm, Germany.

Thomas Fe Barth (TF)

Institute of Pathology, University Hospital Ulm, Ulm, Germany.

Jochen Klaus (J)

Department of Internal Medicine I, University Hospital Ulm, Ulm, Germany.

Classifications MeSH