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3T-MRI, elastography, digital mammography, and FDG-PET CT findings of subcutaneous panniculitis-like T-cell lymphoma (SPTCL) of the breast

Overview of attention for article published in Japanese Journal of Radiology, August 2012
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Title
3T-MRI, elastography, digital mammography, and FDG-PET CT findings of subcutaneous panniculitis-like T-cell lymphoma (SPTCL) of the breast
Published in
Japanese Journal of Radiology, August 2012
DOI 10.1007/s11604-012-0112-5
Pubmed ID
Authors

Takayoshi Uematsu, Masako Kasami

Abstract

Subcutaneous panniculitis-like T-cell lymphoma (SPTCL) is a rare subtype of cutaneous lymphoma, which is characterized by infiltration of neoplastic cytotoxic T cells into the subcutaneous tissue. We here report the case of a 66-year-old woman with SPTCL of the breast, which is a very uncommon location. Multiple suspicious irregular small masses in the subcutaneous fat were detected by mammography, and sonograms revealed hyperechoic masses. Elastography was useful to improve depiction and delineation of SPTCL in the hyperechoic subcutaneous fat, and dynamic contrast-enhanced MRI examinations showed multiple irregular rim enhanced masses with persistent enhancement. FDG-PET CT images showed hypermetabolism in areas corresponding to other imaging techniques. MRI can be useful for diagnosis of fat necrosis, which is a primary radiologic feature of SPTCL. However, fat necrosis has multitude of appearances by various imaging techniques, which typically indicate a benign disease, but may indicate a malignancy. Therefore, an ultrasonographically guided core needle biopsy is useful for a diagnosis of SPTCL of the breast. The presence of multiple subcutaneous nodules throughout the body on CT imaging may be an important finding that suggests a diagnosis of SPTCL.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 24%
Student > Ph. D. Student 4 16%
Student > Doctoral Student 3 12%
Other 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 5 20%
Readers by discipline Count As %
Medicine and Dentistry 15 60%
Nursing and Health Professions 2 8%
Psychology 1 4%
Unknown 7 28%