While T2 hyperintense masses on breast MRI are often benign, there are several malignant etiologies that can also be T2 hyperintense. Delineation between benign and malignant entities is important for the accurate interpretation of breast MRI. Common benign T2 hyperintense masses include cysts, fibroadenomas, and lymph nodes. Malignant processes that are T2 hyperintense include metastatic lymph nodes, mucinous breast carcinomas, papillary breast carcinomas, and breast cancers with central necrosis. Evaluation of the morphology and enhancement pattern of a T2 hyperintense mass can help to differentiate a benign process from a malignant one. This educational review will present both benign and malignant causes of T2 hyperintense masses on breast MRI and review common imaging findings and pertinent imaging characteristics that can be used to help accurately identify benign entities while also recognizing suspicious lesions that require additional evaluation.
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http://dx.doi.org/10.1093/jbi/wbac030 | DOI Listing |
Br J Radiol
December 2024
Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy.
Neoadjuvant Therapy (NT) has become the gold standard for treating locally advanced Breast Cancer (BC). The assessment of pathological response (pR) post-NT plays a crucial role in predicting long-term survival, with Contrast-Enhanced Magnetic Resonance Imaging (MRI) currently recognised as the preferred imaging modality for its evaluation. Traditional imaging techniques, such as Digital Mammography (DM) and Ultrasonography (US), encounter difficulties in post-NT assessments due to breast density, lesion changes, fibrosis, and molecular patterns.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Background: Signet-ring cell carcinoma (SRCC) originates from undifferentiated stem cells in the neck of glands within the lamina propria of the mucosa. Primarily affecting the stomach, SRCC can also involve the breast, pancreas, gallbladder, colon, and bladder, although these cases are rare. SRCC of the prostate is extremely rare, and diagnosing it pelvic puncture is particularly challenging.
View Article and Find Full Text PDFFront Aging Neurosci
December 2024
Division of Adult Health, School of Nursing, University of Texas at Austin, Austin, TX, United States.
Introduction: Chemotherapy-related cognitive impairment (CRCI) remains poorly understood in terms of the mechanisms of cognitive decline. Neural hyperactivity has been reported on average in cancer survivors, but it is unclear which patients demonstrate this neurophenotype, limiting precision medicine in this population.
Methods: We evaluated a retrospective sample of 80 breast cancer survivors and 80 non-cancer controls, aged 35-73, for which we had previously identified and validated three data-driven, biological subgroups (biotypes) of CRCI.
Hum Brain Mapp
December 2024
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
It is now understood that brain metastases do not occur randomly but have distinct spatial patterns depending on the origin of the cancer. According to the "seed and soil" hypothesis, the final colonization of metastatic cells is the result of their adaptation to the altered environment. To investigate the most favorable microenvironment for brain metastasis, we analyzed neuroimaging data from 177 patients with breast cancer brain metastasis and 548 patients with lung cancer brain metastasis to create a replicable probabilistic map of metastatic locations.
View Article and Find Full Text PDFBreast Cancer (Dove Med Press)
December 2024
Department of Radiology, People's Hospital of Zhengzhou University & Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Background: Histological grade is an acknowledged prognostic factor for breast cancer, essential for determining clinical treatment strategies and prognosis assessment. Our study aims to establish intra- and peritumoral radiomics models using T2WI and DWI MR sequences for predicting the histological grade of breast cancer.
Methods: 700 breast cancer cases who had MRI scans before surgery were included.
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