Background/aim: The aim of the study was to investigate whether it is possible to evaluate the axilla after treatment without performing sentinel lymph node biopsy (SLNB) in breast cancer patients with biopsy-proven axillary lymph node metastases who received neoadjuvant chemotherapy (NAC).
Patients And Methods: This prospective, randomized, clinically designed study included patients with clinical T and biopsy-proven N breast cancer. Prior to the surgery scheduled after NAC, the patients were randomized into two groups.
Rationale And Objectives: To investigate the effectiveness of machine learning-based clinical, radiomics, and combined models in differentiating idiopathic granulomatous mastitis (IGM) from malignancy, both presenting as non-mass enhancement (NME) lesions on magnetic resonance imaging (MRI), and to compare these models with radiological evaluation.
Material And Methods: A total of 178 patients (69 IGM and 109 breast cancer patients) with NME on breast MRI evaluated between March 2018 and April 2022, were included in this two-center study. Age, skin changes, presence of fistula, and abscess were recorded from hospital records.
Ewing sarcoma (ES) usually arises from long bones and affects the head and neck region in only 1%-4% of cases. We reported clinical, radiographic, cytomorphologic, and histomorphologic findings of the ES in the mandible, because of its rarity and radiologically misinterpreted as a parotid gland tumor. A 26-year-old male patient presented with a history of painfull cheek swelling.
View Article and Find Full Text PDFPurpose: To evaluate magnetic resonance imaging (MRI) findings related to recurrence of idiopathic granulomatous mastitis (IGM).
Methods: Demographic data [age, number of births, duration of lactation period, body mass index (BMI) and presence of recurrence] of 71 patients who were diagnosed with IGM were analyzed retrospectively. Characteristics of IGM (maximum width, location, involvement of the retroareolar region, deep tissue, skin), fibroglandular density (FGD), background parenchymal enhancement (BPE), distribution and pattern of contrast enhancement, presence of prepectoral edema, abscesses, fistulae, axillary lymphadenopathies on MRI and apparent diffusion coefficient (ADC) values from the pathological area were recorded.
Rationale And Objectives: In patients with breast cancer (BC), lymphovascular invasion (LVI) status is considered an important prognostic factor. We aimed to develop machine learning (ML)-based radiomics models for the prediction of LVI status in patients with BC, using preoperative MRI images.
Materials And Methods: This retrospective study included patients with BC with known LVI status and preoperative MRI.
Background: Idiopathic granulomatous mastitis that has not had a clear consensus about its treatment since the day it was identified as a rare, benign inflammatory breast disease that mimics malignancy due to its appearance features.
Aims: In our research, we intended to compare the efficiency of intralesional and systemic steroids administration in the treatment of idiopathic granulomatous mastitis.
Study Design: Prospective randomized controlled study.
Our aim was to investigate the correlations between the findings of two-dimensional shear-wave elastography (2D-SWE) and the histopathologic results of microcalcifications (MCs) visualized using ultrasonography (USG). Fifty people with suspicious MCs without accompanying mass were evaluated. They underwent USG and 2D-SWE before USG-guided tru-cut biopsy.
View Article and Find Full Text PDFRationale And Objectives: We aimed to investigate the value of magnetic resonance image (MRI)-based radiomics in predicting Ki-67 expression of breast cancer.
Methods: In this retrospective study, 159 lesions from 154 patients were included. Radiomic features were extracted from contrast-enhanced T1-weighted MRI (C+MRI) and apparent diffusion coefficient (ADC) maps, with open-source software.
Localized amyloidosis in the breast is a very rare disease and may mimic malignant lesions. A 60-year-old woman who had a history of breast-conserving surgery presents with a new a well-defined oval opacity accompanied by many round tight clustered micro- and macrocalcifications on mammograms. It could not be visualized sonographically due to the intense posterior acoustic shadowing of the fat necrosis areas and contrast enhancement was not detected in this area on the dynamic contrast enhanced magnetic resonance images.
View Article and Find Full Text PDFPurpose: To determine the contribution of apparent diffusion coefficient (ADC), and relative ADC (rADC) values to differentiate between benign and malignant breast masses.
Materials And Methods: Magnetic resonance imaging (MRI) of the breast with diffusion-weighted imaging (DWI) of patients with benign or malignant breast masses diagnosed either by histopathological findings or by follow-up imaging were evaluated retrospectively. Histopathological analyses were performed for 71 lesions (80.
Purpose: Firstly, we aimed to investigate the correlation among dynamic contrasted magnetic resonance (MR) images, diffusion-weighted MR images, and apparent diffusion coefficent (ADC) values in patients with prostate cancer. Secondly, we aimed to investigate the roles of these variables on clinical risk classification and the biological behavior of the prostate cancer.
Methods: A total of sixty with prostatic adenocarcinoma patients diagnosed between January 2011 and May 2013 were retrospectively included in the study.
Objective: This study aims to evaluate the strength of magnetic resonance (MR) lesion descriptors for malignancy and to determine the effectiveness of a scoring system that combines BI-RADS parameters with additional criteria.
Materials And Methods: Three hundred thirty-nine histopathologically proven lesions that had undergone MR imaging were analyzed retrospectively. Based on the Fischer scoring system, an optimal cutoff value was calculated for combined parameters.