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Ductal cell carcinoma in situ (DCIS) is a noninvasive stage 0 breast cancer that arises from an abnormal proliferation of ductal epithelial cells. If untreated, it can progress to invasive ductal carcinoma (IDC), the most common form of breast cancer. A minority of women with early-stage breast cancer may experience recurrent advanced cancer, which can progress to metastatic disease, commonly in the bone, liver, lung, and brain. Improved surveillance and raised awareness over the last three decades have resulted in an increased incidence of disease; however, early detection and treatment of DCIS and IDC have a favorable prognosis. We present two cases of well-treated early-stage breast cancer with late recurrence of distal metastasis involving the peritoneal cavity and liver, with ascites as a primary presentation. In Case one, Stage 1 IDC was detected on a routine mammogram and was well-treated with lumpectomy and sentinel lymph node biopsies, chemotherapy, and radiation, with repeat mammograms negative for any evidence of recurrence. One year following treatment, the patient presented with dull epigastric pain and ascites positive for malignancy, with primary breast origin. In Case two, the patient presented to the emergency department with right upper quadrant pain and abdominal distension. A CT scan identified multiple liver lesions, and a biopsy revealed primary breast origin. A subsequent mammography detected DCIS in the right breast. One month later, the patient presented with abdominal and pelvic ascites and rapid decline of mental status before treatment was initiated. These cases underscore the importance of educating patients on self-examinations and yearly mammograms. Additionally, it is essential to educate providers on risk factors of metastatic disease and their possible presentations, including metastasis into the peritoneal cavity, to ensure optimal clinical outcomes.
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http://dx.doi.org/10.7759/cureus.86236 | DOI Listing |
EBioMedicine
September 2025
Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, 264000, PR China; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, 264000, PR China. Electronic address:
JMIR Cancer
September 2025
Cancer Patients Europe, Rue de l'Industrie 24, Brussels, 1000, Belgium.
Background: Breast cancer is the most common cancer among women and a leading cause of mortality in Europe. Early detection through screening reduces mortality, yet participation in mammography-based programs remains suboptimal due to discomfort, radiation exposure, and accessibility issues. Thermography, particularly when driven by artificial intelligence (AI), is being explored as a noninvasive, radiation-free alternative.
View Article and Find Full Text PDFEpidemiol Serv Saude
September 2025
Universidade Estadual do Norte do Paraná, Programa de Pós-Graduação em Enfermagem em Atenção Primária à Saúde Bandeirantes, PR, Brazil.
Objectives: To analyze the temporal trend and identify spatial clusters of breast cancer mortality in Paraná state between 2012 and 2021.
Methods: This was a time series study, with spatial analysis of breast cancer mortality rates in the 399 municipalities of Paraná. Data were selected from the Mortality Information System.
Cien Saude Colet
August 2025
Faculdade de Medicina da Universidade Federal de Pelotas. Pelotas RS Brasil.
The objective of this study was to analyze the characteristics of avoidable mortality in the population aged five to 69 years living in the city of Pelotas/RS, comparing it with the rest of the state of Rio Grande do Sul, from 2000 to 2021. An ecological study was conducted analyzing avoidable mortality coefficients according to sex and age, from 2000 to 2021. The data source was the Mortality Information System, and the trend analysis was performed using Prais-Winsten regression, with standardization of coefficients.
View Article and Find Full Text PDFCien Saude Colet
August 2025
Programa de Pós-Graduação em Nutrição e Saúde, Universidade Estadual do Ceará. R. Betel 1958, Itaperi. 60714-230 Fortaleza CE Brasil.
This study aimed to evaluate mortality due to female breast cancer attributable to overweight and obesity and to estimate the number of preventable deaths with a reduction in the Body Mass Index in Brazil. An ecological study was carried out with investigation of information on overweight, obesity, sociodemographic characteristics based on a national survey carried out in 2013-14; breast cancer mortality rate in 2019 using the Online Atlas of Mortality and Relative Risk Meta-Analyses. The Potential Impact Fraction analysis was carried out, considering the following counterfactual scenarios related to the reduction in BMI: Scenario A - population contingent of women that make up the prevalence of overweight and obesity now composes the prevalence of eutrophy; Scenario B - population contingent of women that make up the prevalence of overweight starts to make up the prevalence of eutrophy; Scenario C - population contingent of women that make up the prevalence of obesity becomes part of the prevalence of overweight.
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