Background: The COVID-19 pandemic has transformed breast cancer care for patients and healthcare providers. Circumstances varied greatly by region and hospital, depending on COVID-19 prevalence, case mix, hospital type, and available resources. These challenges have disrupted screening programs and have been particularly distressing for both women with a breast cancer diagnosis and their providers.
View Article and Find Full Text PDFPurpose: To evaluate if a machine learning prediction model based on clinical and easily assessable imaging features derived from baseline breast [F]FDG-PET/MRI staging can predict pathologic complete response (pCR) in patients with newly diagnosed breast cancer prior to neoadjuvant system therapy (NAST).
Methods: Altogether 143 women with newly diagnosed breast cancer (54 ± 12 years) were retrospectively enrolled. All women underwent a breast [F]FDG-PET/MRI, a histopathological workup of their breast cancer lesions and evaluation of clinical data.
Background: True uterine artery aneurysms, especially during pregnancy, are a rare entity and not well understood. Clinical symptoms are unspecific pelvic pain and pressure. Diagnosis can be confirmed by transvaginal color-coded-sonography and/or magnetic resonance imaging.
View Article and Find Full Text PDFEur J Surg Oncol
November 2023
Purpose: Residual glandular tissue (RGT) after risk reducing mastectomy (RRME) is associated with a risk of developing breast cancer for women with a familial predisposition. We aim to examine various surgery-related variables to make risk more easily assessable and to aid in decision-making.
Materials And Methods: Pre- and postoperative breast MRI scans from 2006 to 2021 of patients with proven pathogenic mutation were included.
This study compares the diagnostic potential of conventional staging (computed tomography (CT), axillary sonography and bone scintigraphy), whole-body magnetic resonance imaging (MRI) and whole-body F-fluorodeoxyglucose positron emission tomography (F-FDG PET/)MRI for N and M staging in newly diagnosed breast cancer. A total of 208 patients with newly diagnosed breast cancer were prospectively included in this study and underwent contrast-enhanced thoracoabdominal CT, bone scintigraphy and axillary sonography as well as contrast-enhanced whole-body F-FDG PET/MRI. The datasets were analyzed with respect to lesion localization and characterization.
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