Objective: To investigate the effectiveness of the different imaging modalities in detecting recurrence in breast cancer follow-up.
Materials And Methods: Sixty-four women with recurrent breast cancer were examined between January 2020 and July 2022. Recurrency was divided into four categories: local; regional; second primary; and distant metastasis. The detectability of recurrent lesions with mammography (MG), ultrasound (US) and magnetic resonance imaging (MRI), was evaluated. In addition, recurrences that firstly appeared by positron emission tomography (PET) scan were recorded.
Results: Twenty-seven (42.2%) recurrences were local, 10 (15.6%) were regional and 27 (42.2%) were second primary. Forty-six (71.9%) of them were determined to have invasive carcinoma, 8 (12.5%) were ductal carcinoma in situ, and 10 (15.6%) were axillary metastases. Eight (12.5%) of them were first diagnosed by PET-computed tomography/MRI. Among the available images performed, 78.7% could be detected pathologically by MG, 95.2% by US, and 100% by MRI. Distant metastasis associated with other types of recurrence was detected in 6 (9.4%) cases.
Conclusion: MRI is the most powerful imaging modality in detecting recurrent breast cancer. With the addition of US to routine MG follow-up, a higher rate and early detection of recurrent cancers can be achieved.
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http://dx.doi.org/10.4274/ejbh.galenos.2022.2022-10-1 | DOI Listing |
BMC Cancer
January 2025
Young Academy of Gynecologic Oncology (JAGO), Nord-Ostdeutsche Gesellschaft für Gynäkologische Onkologie (NOGGO), Berlin, Germany.
Background: The integration of immune checkpoint inhibitors (ICIs) into routine gynecologic cancer treatment requires a thorough understanding of how to manage immune-related adverse events (irAEs) to ensure patient safety. However, reports on real-world clinical experience in the management of ICIs in gynecologic oncology are very limited. The aim of this survey was to provide a real-world overview of the experiences and the current state of irAE management of ICIs in Germany, Switzerland, and Austria.
View Article and Find Full Text PDFBMC Cancer
January 2025
Division de la Recherche Clinique, Centre Jean PERRIN, 58 rue Montalembert, Clermont-Ferrand, 63011, France.
Background: Over the past twenty years, the post-cancer rehabilitation has been developed, usually in a hospital setting. Although this allows better care organization and improved security, it is perceived as stressful and restrictive by the "cancer survivor". Therefore, the transfer of benefits to everyday life is more difficult, or even uncertain.
View Article and Find Full Text PDFBreast Cancer
January 2025
Tepe Prime, MKA Breast Cancer Clinic, 06800, Ankara, Turkey.
Breast Cancer Res Treat
January 2025
Google Health, 1600 Amphitheatre Pkwy, Mountain View, CA, 94043, USA.
Purpose: Many breast centers are unable to provide immediate results at the time of screening mammography which results in delayed patient care. Implementing artificial intelligence (AI) could identify patients who may have breast cancer and accelerate the time to diagnostic imaging and biopsy diagnosis.
Methods: In this prospective randomized, unblinded, controlled implementation study we enrolled 1000 screening participants between March 2021 and May 2022.
Mol Biol Rep
January 2025
Department of Clinical Pathology, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Background: The identification of circulating potential biomarkers may help earlier diagnosis of breast cancer, which is critical for effective treatment and better disease outcomes. We aimed to study the role of circ-FAF1 as a diagnostic biomarker in female breast cancer using peripheral blood samples of these patients, and to investigate the relation between circ-FAF1 and different clinicopathological features of the included patients.
Methods And Results: This case-control study enrolled 60 female breast cancer patients and 60 age-matched healthy control subjects.
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