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Objective: Breast cancer is a critical public health issue and a leading cause of cancer-related deaths among women worldwide. Its early diagnosis and detection can effectively help in increasing the chances of survival rate. For this reason, the diagnosis and classification of breast cancer using Deep learning algorithms have attracted a lot of attention. Therefore, our study aimed to design a computational approach based on deep convolutional neural networks for an efficient classification of breast cancer histopathological images by using our own created dataset. We collected overall 328 digital slides, from 116 of surgical breast specimens diagnosed with invasive breast carcinoma of non-specific type, and referred to the histopathology department of the National Institute of Oncology in Rabat, Morocco. We used two models of deep neural network architectures in order to accurately classify the images into one of three categories: normal tissue-benign lesions, in situ carcinoma or invasive carcinoma., Results: Both Resnet50 and Xception models achieved comparable results, with a small advantage to Xception extracted features. We reported high degrees of overall correct classification accuracy (88%), and sensitivity (95%) for detection of carcinoma cases, which is important for diagnostic pathology workflow in order to assist pathologists for diagnosing breast cancer with precision. The results of the present study showed that the designed classification model has a good generalization performance in predicting diagnosis of breast cancer, in spite of the limited size of the data. To our knowledge, this approach can be highly compared with other common methods in the automated analysis of breast cancer images reported in literature., (© 2022. The Author(s).)

The metaplastic breast cancers are rare lesions, accounting for less than 1 % of all breast malignancies. According to the WHO classification (2012), the spindle cell carcinoma of the breast figures among variants of metaplastic carcinomas. The average age at diagnosis is 53 years, and the usual course is fast. Their prognosis is more pejorative than the classic invasive ductal carcinoma. The differential diagnosis arises with sarcomas, especially phyllodes sarcomas but also with other primary breast sarcomas which remain rare. The distinction of this entity is important for further management of patients which is similar to that of conventional infiltrating carcinoma.

Introduction: Metastases to the breast from extramammary malignancies are infrequent, the most common primary sites are malignant melanoma, leukemia, lymphoma, and cancer of the lung, stomach, prostate and ovary. The cervical origin is exceptional. Splenic metastasis from squamous cell carcinoma of the cervix is also rare. To the best of our knowledge, only three cases of isolated splenic metastasis have been reported in the literature., Case Presentation: We describe the case of a 55-year-old North African woman who presented with a nodule in her left breast eight months after treatment for stage IIB squamous cell uterine cervical carcinoma. The excisional biopsy with histological study demonstrated a poorly differentiated squamous cell carcinoma. A computed tomography scan revealed a splenic secondary location., Conclusions: We report here a case of two unusual metastatic sites of uterine cervical carcinoma, the breast and spleen. It is the first case of this association without widespread disease.

Background: Breast metastasis is fairly uncommon and prognosis is dismal. Breast metastasis might be the first symptom or may occur during the course of other malignancies dominantly arising from the contralateral breast. Leukemia, lung cancer and conjunctival melanoma may spread to the breast., Case Presentation: A 43-year-old female patient was operated on for conjunctival melanoma. After two years the disease progressed quickly and cutaneous nodes appeared on the back and paraumbilical region. Physical and radiological examination showed a breast mass. No palpable lymph's nodes were noted. She underwent an open biopsy. Histopathologic examination and immunohistochemistry confirmed breast metastases from melanoma. During post-operative staging multiple nasopharyngeal and oropharyngeal lesions were also objective. The patient was given palliative dacarbazine (250 mg/m2 per day for 4 days) for 4 cycles. She died 4 months after the diagnosis of breast metastases., Conclusion: Histopathological evaluation should be mandatory in patients with medical history of malignancies in order to differentiate new primary tumors, metastases, and benign tumors.

Pure sarcomas of the breast are uncommon, accounting for less than 1% of primary breast malignant tumors. Mammary osteogenic sarcomas are very rare and less than 100 cases have been reported in literature. They mainly affect older and middle aged women and are highly aggressive. We report an additional case in a 56-year-old woman. Histological and immunohistological characteristics were similar to those described in other localizations. Differential diagnosis involves phyllodes sarcoma, breast metaplastic carcinoma with chondroid and osteoid differentiation, osteosarcoma of the ribs, and metastatic osteosarcoma. The prognosis is poor.