Volume 4, Number 5 (2019)
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Home > Journals > SCIREA Journal of Clinical Medicine > Archive > Paper Information

Imaging Findings of Granular Cell Tumor of the Breast with Virtual Touch Tissue Imaging Quantification Correlation

Volume 4, Issue 5, October 2019    |    PP. 176-185    |PDF (527 K)|    Pub. Date: September 24, 2019
28 Downloads     528 Views  

Author(s)
Cristina Roque Ferreira, Department of Radiology, University Centre Hospitals of Coimbra (CHUC), Portugal
Pedro Gil Oliveira, Department of Radiology, University Centre Hospitals of Coimbra (CHUC), Portugal
Manuel Cruz, Department of Radiology, University Centre Hospitals of Coimbra (CHUC), Portugal
Manuela Gonçalo, Department of Radiology, University Centre Hospitals of Coimbra (CHUC), Portugal
Paulo Donato, Department of Radiology, University Centre Hospitals of Coimbra (CHUC), Portugal

Abstract
In our institution, two cases of granular cell tumor of the breast described in this document were observed. Both share a similar clinical-radiological aspect, very similar to a carcinoma; so, in both cases, the VTIQ study was carried out. In one of the cases, after VTIQ study, the characteristics of malignancy were reinforced, however, the other presented characteristics that diminished its suspect. This difference in behavior can be explained by peculiarities in the histopathological characteristics. Despite the small number of cases, this study may show that the VTIQ was not enough to reduce the suspicion of malignancy in these lesions, with only the biopsy of the lesions remaining the only reliable diagnostic method.

Keywords
Granular Cell Tumor; Tumor Breast; Oncology diagnosis; Innovation; Virtual Touch Tissue Imaging Quantification (VTIQ)

Cite this paper
Cristina Roque Ferreira, Pedro Gil Oliveira, Manuel Cruz, Manuela Gonçalo, Paulo Donato, Imaging Findings of Granular Cell Tumor of the Breast with Virtual Touch Tissue Imaging Quantification Correlation, SCIREA Journal of Clinical Medicine. Vol. 4 , No. 5 , 2019 , pp. 176 - 185 .

References

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[ 8 ] Michael Golatta. Evaluation of Virtual Touch Tissue Imaging Quantification (VTIQ - 2D-SWE) in the Assessment of BI-RADS® 3 and 4 lesions: Can patient selection for biopsy be improved? – A confirmatory Multi-Center-Study, by Siemens Medical Solutions Application, Dec. 2015 - Out 2017.https://clinicaltrials.gov/ct2/show/NCT02638935
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