Analysis of vascularization in thyroid gland nodes with superb microvascular imaging (SMI) and CD34 expression histology: a pilot study
Autor: | Tilmann Graeter, Thomas F. E. Barth, Julian Schmidberger, Andreas Hillenbrand, Thomas Studeny, Wolfgang Kratzer |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Adult
Male Pathology medicine.medical_specialty Superb microvascular imaging Thyroid Gland CD34 Antigens CD34 Pilot Projects Malignancy Diagnosis Differential Image Interpretation Computer-Assisted Ultrasound Biomarkers Tumor medicine Medical technology Humans Radiology Nuclear Medicine and imaging Prospective Studies Thyroid Neoplasms R855-855.5 Cancer Thyroid medicine.diagnostic_test business.industry Ultrasonography Doppler Histology Blood flow Thyroid Gland Tissue medicine.disease Immunohistochemistry medicine.anatomical_structure Vascularisation Microvessels Female Elastography business Research Article |
Zdroj: | BMC Medical Imaging, Vol 21, Iss 1, Pp 1-12 (2021) BMC Medical Imaging |
ISSN: | 1471-2342 |
Popis: | Background The Doppler sonography technique known as "superb microvascular imaging" (SMI) is advancing sonographic micro vascularization imaging in various disciplines. In this study, we aimed to determine whether SMI could reliably reproduce the blood flow in thyroid nodes and whether malignancy could be diagnosed, based on vascularization properties. Immunhistochemical staining by CD34 and SMI where used to determine the vascularization of nodes in terms of quantified vascularization parameters gained by computational evaluation. Methods We used image analysis programs to investigate whether the quantitative value for vascularization strength in the thyroid node, measured with SMI, was correlated with the actual degree of vascularization, determined microscopically. We included 16 patients that underwent thyroid resections. We prepared thyroid gland tissue slices for immunohistochemistry and labelled endothelial cells with CD34 to visualize blood vessels microscopically. We used image analysis programs, ImageJ, to quantify SMI Doppler sonographic measurements and CellProfiler to quantify CD34 expression in histological sections. We evaluated the numeric values for diagnostic value in node differentiation. Furthermore, we compared these values to check for correlations. Results Among the 16 nodes studied, three harboured malignant tumours (18.75%): two papillary and one follicular carcinoma. Among the 13 benign lesions (81.25%), four harboured follicular adenomas. Malignant and benign nodes were not significantly different in sonographic (0.88 ± 0.89 vs. 1.13 ± 0.19; p = 0.2790) or immunohistochemical measurements of vascularization strength (0.05 ± 0.05 vs. 0.08 ± 0.06; p = 0.2260). Conclusion We found a positive, significant correlation (r = 0.55588; p = 0.0254) between SMI (quantitative values for vascularization strength) and immunohistochemistry (CD34 staining) evaluations of thyroid nodes. |
Databáze: | OpenAIRE |
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