| Yazarlar |
Erdal Karavaş
Bandırma Onyedi Eylül Üniversitesi, Türkiye |
Doç. Dr. Bünyamin ECE
Kastamonu Üniversitesi, Türkiye |
|
Sonay Aydın
Erzincan Binali Yıldırım Üniversitesi, Türkiye |
| Özet |
| Magnetic resonance imaging (MRI) with multiparametric dynamic contrast plays a critical role in the assessment of breast lesions. Dynamic curves are a critical parameter in determining the benign or malignant nature of lesions. Dynamic curves of type 1 are known to represent benign masses, while dynamic curves of type 3 are known to identify malignant masses. Type 2 dynamic curves have a sensitivity of 42.6% and specificity of 75% for malignancy detection. To investigate the pathological diagnosis of lesions with type 2 dynamic curves. We evaluated breast MRI examinations performed between 2020 and 2021 retrospectively and included lesions with type 2 dynamic curves. We included 38 lesions from 33 patients. The lesions were evaluated for their pathological diagnosis and morphological characteristics. Twenty-six lesions were malignant, while twelve were benign. The most frequently encountered benign lesion (7/12, 58.3%) was sclerosing adenosis, while the most frequently encountered malignant diagnosis was invasive ductal cancer. The presence of a type 2 dynamic curve had a sensitivity of 40.2% and specificity of 73.4% for predicting malignancy. By combining type 2 curves and morphological features, the sensitivity and specificity were increased. The high rates of malignancy detected histopathologically among patients with type 2 dynamic curves in our study are remarkable. Type 2 dynamic curves can be detected in benign breast masses, especially in sclerosing adenosis cases. Considering morphological features can increase the diagnostic accuracy in cases with type 2 dynamic curves. |
| Anahtar Kelimeler |
| Benign | Breast | Dynamic curve | Magnetic resonance imaging | Malignant | Type 2 |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | ESCI dergilerinde yayımlanan tam makale |
| Dergi Adı | WORLD JOURNAL OF RADIOLOGY |
| Dergi ISSN | 1949-8470 |
| Dergi Tarandığı Indeksler | Emerging Sources Citation Index (ESCI, Web of Science) |
| Makale Dili | İngilizce |
| Basım Tarihi | 07-2022 |
| Cilt No | 14 |
| Sayı | 7 |
| Sayfalar | 229 / 237 |
| Doi Numarası | 10.4329/wjr.v14.i7.229 |
| Makale Linki | http://dx.doi.org/10.4329/wjr.v14.i7.229 |
| Atıf Sayıları |
