Breast fibroadenomas are a common benign tumour in women that may need to be surgically excised. A mammary-like fibroadenoma can exceptionally be found in the pathological report after an anal polyp removal. A 60-year-old woman presented with huge anal polyp of 25 mm. It was surgically removed transanally. Histologic examination revealed a breast fibroadenoma pattern with glandular structures. Proctologist specialists must be aware that mammary-like tumours are a possible differential diagnosis for anal masses despite their rarity in the literature.
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http://dx.doi.org/10.1177/2050313X211035568 | DOI Listing |
Acta Gastroenterol Belg
January 2024
Abdominal Surgery department, Clinique Saint-Pierre Ottignies, Ottignies-Louvain-la-Neuve, Belgium.
Zhonghua Zhong Liu Za Zhi
December 2024
Med Image Anal
February 2025
State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China. Electronic address:
Deep learning shows promise for medical image segmentation but suffers performance declines when applied to diverse healthcare sites due to data discrepancies among the different sites. Translating deep learning models to new clinical environments is challenging, especially when the original source data used for training is unavailable due to privacy restrictions. Source-free domain adaptation (SFDA) aims to adapt models to new unlabeled target domains without requiring access to the original source data.
View Article and Find Full Text PDFJ Surg Case Rep
November 2024
Department of Colorectal Surgery, Huntington Hospital, Huntington, NY, United States.
Anal melanoma is a rare and highly aggressive malignancy that carries a poor prognosis. Due to its variable and ambiguous presentation, it is often misdiagnosed as a hemorrhoid, polyp, or an ulcer with a concomitant rectal prolapse. Clinicians usually have a low suspicion of anal melanoma due to its rarity and most people present with metastatic disease at the time of diagnosis.
View Article and Find Full Text PDFMed Image Anal
February 2025
Department of Computer and Data Science and Department of Biomedical Engineering, Case Western Reserve University, USA.
CNN-based object detection models that strike a balance between performance and speed have been gradually used in polyp detection tasks. Nevertheless, accurately locating polyps within complex colonoscopy video scenes remains challenging since existing methods ignore two key issues: intra-sequence distribution heterogeneity and precision-confidence discrepancy. To address these challenges, we propose a novel Temporal-Spatial self-correction detector (TSdetector), which first integrates temporal-level consistency learning and spatial-level reliability learning to detect objects continuously.
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