Second-Generation Differential Tissue Harmonic Imaging Improves the Visualization of Renal Lesions.
differential tissue harmonic imaging
nonlinear ultrasound imaging
renal lesions
tissue harmonic imaging
Journal
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
ISSN: 1550-9613
Titre abrégé: J Ultrasound Med
Pays: England
ID NLM: 8211547
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
01
07
2022
accepted:
08
07
2022
pubmed:
4
8
2022
medline:
22
3
2023
entrez:
3
8
2022
Statut:
ppublish
Résumé
To compare to three nonlinear imaging techniques to conventional, grayscale ultrasound imaging of renal lesions. Twenty adults with a known renal lesion and a body mass index >25 kg/m Readers and CNR values showed that nonlinear imaging was superior to grayscale ultrasound (P < .0014). DTHI-II outperformed DTHI, THI, and grayscale ultrasound with respect to detail resolution, image quality, and margin delineation (P < .012). The depth penetration of DTHI and DTHI-II was similar (P = .16), but superior to grayscale ultrasound and THI (P < .001). Two observers saw improvements in detail resolution with DTHI-II over DTHI (P < .05), while image quality and margin delineation were considered similar by two readers (P > .07) and improved with DTHI-II by one (P < .017). DTHI-II improves the imaging of renal lesions compared to DTHI, THI, and grayscale ultrasound, albeit based on a limited sample size.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
853-857Subventions
Organisme : Canon Medical Systems USA
Informations de copyright
© 2022 American Institute of Ultrasound in Medicine.
Références
Kurzweil A, Martin J. Transabdominal Ultrasound. Treasure Island, FL: StatPearls Publishing; 2021.
Starkoff B. Ultrasound physical principles in today's technology. Australas J Ultrasound Med 2014; 17:4-10.
Anvari A, Forsberg F, Samir AE. A primer on the physical principles of tissue harmonic imaging. Radiographics 2015; 35:1955-1964.
Duck F. Tissue non-linearity. Proc Inst Mech Eng H 2010; 224:155-170.
Nowicki A, Wójcik J, Secomski W. Harmonic imaging using multitone nonlinear coding. Ultrasound Med Biol 2007; 33:1112-1122.
Chiou SY, Forsberg F, Fox TB, Needleman L. Comparing differential tissue harmonic imaging with tissue harmonic and fundamental gray scale imaging of the liver. J Ultrasound Med 2007; 26:1557-1563.
Hill CR, Bamber JC, Cosgrove DO. Performance criteria for quantitative ultrasonography and image parameterisation. Clin Phys Physiol Meas 1990; 11(suppl A):57-73.
Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull 1979; 86:420-428.
Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016; 15:155-163.
Rosen EL, Soo MS. Tissue harmonic imaging sonography of breast lesions: improved margin analysis, conspicuity, and image quality compared to conventional ultrasound. Clin Imaging 2001; 25:379-384.
Cha JH, Mooon WK, Cho N, et al. Characterization of benign and malignant solid breast masses: comparison of conventional US and tissue harmonic imaging. Radiology 2007; 242:63-69.
Migda B, Słapa R, Bierca J, et al. Differentiation of thyroid nodules in multinodular goiter with the application of technical ultrasound advances-initial results. Endokrynol Pol 2016; 67:157-165.
Eisenbrey JR, Shaw CM, Lyshchik A, et al. Contrast-enhanced subharmonic and harmonic ultrasound of renal masses undergoing percutaneous cryoablation. Acad Radiol 2015; 22:820-826.
Furrer MA, Spycher SCJ, Büttiker SM, et al. Comparison of the diagnostic performance of contrast-enhanced ultrasound with that of contrast-enhanced computed tomography and contrast-enhanced magnetic resonance imaging in the evaluation of renal masses: a systematic review and meta-analysis. Eur Urol Oncol 2020; 3:464-473.
Leong JY, Wessner CE, Kramer MR, et al. Superb microvascular imaging improves detection of vascularity in indeterminate renal masses. J Ultrasound Med 2020; 39:1947-1955.
Mao Y, Mu J, Zhao J, Zhao L, Xin X. The value of superb microvascular imaging in differentiating benign renal mass from malignant renal tumor: a retrospective study. Br J Radiol 2018; 91:20170601.