Literature DB >> 28273729

The effect of the amount of peritumoral adipose tissue in the detection of additional tumors with digital breast tomosynthesis and ultrasound.

Paula García-Barquín1, María Páramo1, Arlette Elizalde1, Luis Pina1, Jon Etxano1, Alejandro Fernandez-Montero1, Meylin Caballeros1.   

Abstract

Background Digital breast tomosynthesis (DBT) and ultrasound (US) can detect additional cancers after negative mammography. However, not all cancers are visible by both techniques. Purpose To study the role of the amount of peritumoral fat in the detection of additional cancers with DBT or US. Material and Methods One reader retrospectively reviewed 142 breast cancers in 109 women who underwent mammography, DBT, US, and magnetic resonance imaging (MRI). Two readers in consensus evaluated the additional cancers detected by US, DBT, or MRI, and classified them into four groups according to the amount of peritumoral adipose tissue: group I, >75% of peritumoral fat; group II, 50-74%; group III, 25-49%, and group IV, 0-24%. The detection of additional cancers by US and DBT with respect to the other imaging techniques was evaluated. Results Seventy-eight cancers were detected by mammography and the remaining 64 cancers were detected by DBT, US, or MRI. US and DBT detected 46 (71.8%) and 25 (39.06%) additional tumors, respectively. Statistical significance was only found in group IV ( P < 0.01). Conclusion US detected more tumors than DBT in lesions surrounded by a small amount of fat. No significant differences were found between US and DBT in the detection of additional cancers in the other groups.

Entities:  

Keywords:  Breast cancer; amount of peritumoral fat; breast density; digital breast tomosynthesis; ultrasound

Mesh:

Year:  2016        PMID: 28273729     DOI: 10.1177/0284185116668211

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  1 in total

1.  Diagnostic Efficacy across Dense and Non-Dense Breasts during Digital Breast Tomosynthesis and Ultrasound Assessment for Recalled Women.

Authors:  Ibrahim Hadadi; Jillian Clarke; William Rae; Mark McEntee; Wendy Vincent; Ernest Ekpo
Journal:  Diagnostics (Basel)       Date:  2022-06-16
  1 in total

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