Can Follow-up be Avoided for Probably Benign US Masses with No Enhancement on MRI?
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07216-7
Abstract: Objectives To assess whether no enhancement on pre-treatment MRI can rule out malignancy of additional US mass(es) initially assessed as BI-RADS 3 or 4 in women with newly diagnosed breast cancer. Methods This retrospective study… read more here.
Keywords: enhancement mri; breast; mass; mri ... See more keywords
Quantitative perfusion parameters of benign inflammatory breast pathologies: A descriptive study.
Sign Up to like & getrecommendations! Published in 2020 at "Clinical imaging"
DOI: 10.1016/j.clinimag.2020.08.024
Abstract: PURPOSE With this study, we evaluated the perfusion magnetic resonance imaging (MRI) features of benign inflammatory breast lesions for the first time and compared their Ktrans, Kep, Ve values and contrast kinetic curves to benign… read more here.
Keywords: perfusion; inflammatory lesions; inflammatory breast; benign inflammatory ... See more keywords
Ovarian masses in children and adolescents: Analysis on 146 patients.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of gynecology obstetrics and human reproduction"
DOI: 10.1016/j.jogoh.2020.101901
Abstract: PURPOSE Ovarian masses in pediatric population are the most common genital neoplasms, and these masses are often benign. The purpose of this study is to evaluate the pediatric ovarian masses operated in our hospital. METHOD… read more here.
Keywords: masses children; benign masses; ovarian masses; malignant masses ... See more keywords
Effect of a Deep Learning Framework-Based Computer-Aided Diagnosis System on the Diagnostic Performance of Radiologists in Differentiating between Malignant and Benign Masses on Breast Ultrasonography
Sign Up to like & getrecommendations! Published in 2019 at "Korean Journal of Radiology"
DOI: 10.3348/kjr.2018.0530
Abstract: Objective To investigate whether a computer-aided diagnosis (CAD) system based on a deep learning framework (deep learning-based CAD) improves the diagnostic performance of radiologists in differentiating between malignant and benign masses on breast ultrasound (US).… read more here.
Keywords: diagnostic performance; malignant benign; deep learning; differentiating malignant ... See more keywords