Shear-Wave Elastography Gradient Analysis of Newly Diagnosed Breast Tumours: A Critical Analysis.
Autor: | Deeg J; Department of Radiology, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria., Swoboda M; Department of Radiology, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria., Egle D; Department of Obstetrics and Gynaecology, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria., Wieser V; Department of Obstetrics and Gynaecology, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria., Soleiman A; Institute for Pathology, INNPath, University Hospital Tirol Kliniken, Anichstraße 35, 6020 Innsbruck, Austria., Ladenhauf V; Department of Radiology, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria., Galijasevic M; Department of Radiology, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria., Amort B; Department of Radiology, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria., Gruber L; Department of Radiology, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria. |
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Jazyk: | angličtina |
Zdroj: | Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2024 Jul 31; Vol. 14 (15). Date of Electronic Publication: 2024 Jul 31. |
DOI: | 10.3390/diagnostics14151657 |
Abstrakt: | Background: A better understanding of the peritumoral stroma changes due to tumour invasion using non-invasive diagnostic methods may improve the differentiation between benign and malignant breast lesions. This study aimed to assess the correlation between breast lesion differentiation and intra- and peritumoral shear-wave elastography (SWE) gradients. Methods: A total of 135 patients with newly diagnosed breast lesions were included. Intratumoral, subsurface, and three consecutive peritumoral SWE value measurements (with three repetitions) were performed. Intratumoral, interface, and peritumoral gradients (Gradient 1 and Gradient 2) were calculated using averaged SWE values. Statistical analysis included descriptive statistics and an ordinary one-way ANOVA to compare overall and individual gradients among Breast Imaging-Reporting and Data System (BI-RADS) 2, 3, and 5 groups. Results: Malignant tumours showed higher average SWE velocity values at the tumour centre (BI-RADS 2/3: 4.1 ± 1.8 m/s vs. BI-RADS 5: 4.9 ± 2.0 m/s, p = 0.04) and the first peritumoral area (BI-RADS 2/3: 3.4 ± 1.8 m/s vs. BI-RADS 5: 4.3 ± 1.8 m/s, p = 0.003). No significant difference was found between intratumoral gradients (0.03 ± 0.32 m/s vs. 0.0 ± 0.28 m/s; p > 0.999) or gradients across the tumour-tissue interface (-0.17 ± 0.18 m/s vs. -0.13 ± 0.35 m/s; p = 0.202). However, the first peritumoral gradient (-0.16 ± 0.24 m/s vs. -0.35 ± 0.31 m/s; p < 0.0001) and the second peritumoral gradient (-0.11 ± 0.18 m/s vs. -0.22 ± 0.28 m/s; p = 0.037) were significantly steeper in malignant tumours. The AUC was best for PTG1 (0.7358) and PTG2 (0.7039). A threshold value for peritumoral SWI PT1 above 3.76 m/s and for PTG1 below -0.238 m/s·mm -1 indicated malignancy in 90.6% of cases. Conclusions: Evaluating the peritumoral SWE gradient may improve the diagnostic pre-test probability, as malignant tumours showed a significantly steeper curve of the elasticity values in the peritumoral stroma compared to the linear regression with a relatively flat curve of benign lesions. |
Databáze: | MEDLINE |
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