Results 31 to 40 of about 580 (170)
Nature Communications, 2019 PIK3CA mutations and ARID1A loss co-exist in endometrial neoplasms. Here, the authors show that these co-mutations drive gene expression profiles correlated with differential chromatin accessibility and ARID1A binding in the endometrial epithelium ...
Mike R. Wilson +15 more
doaj +1 more source
Occupational exposure to pesticides and endometrial cancer in the Screenwide case-control study
Environmental Health, 2023 Background Endometrial cancer is the most common gynaecological tumour in developed countries and disease burden is expected to increase over the years. Identifying modifiable risk factors may help developing strategies to reduce the expected increasing ...
Arnau Peñalver-Piñol +22 more
doaj +1 more source
Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer [PDF]
arXiv, 2023 Endometrial cancer, the fourth most common cancer in females in the United States, with the lifetime risk for developing this disease is approximately 2.8% in women. Precise histologic evaluation and molecular classification of endometrial cancer is important for effective patient management and determining the best treatment modalities.
arxiv
World Journal of Surgical Oncology, 2012 Background As a rule, endocervical tumours with signet-ring cell are classed as metastatic extra-genital neoplasms. In a patient aged 45 years, we describe primary cervical signet-ring cell carcinoma (PCSRCC) characterized by prominent endometrial and ...
Giordano Giovanna +3 more
doaj +1 more source
Update on Endometrial Stromal Tumours of the Uterus
Diagnostics, 2021 Endometrial stromal tumours (ESTs) are rare, intriguing uterine mesenchymal neoplasms with variegated histopathological, immunohistochemical and molecular characteristics.
Iolia Akaev +2 more
doaj +1 more source
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach [PDF]
arXiv, 2023 Assessing the pre-operative risk of lymph node metastases in endometrial cancer patients is a complex and challenging task. In principle, machine learning and deep learning models are flexible and expressive enough to capture the dynamics of clinical risk assessment.
arxiv
Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data [PDF]
arXiv, 2021 Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced preprocessing technique is proposed to improve the area of interest in MRI data and a hybrid technique using Convolutional ...
arxiv
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions [PDF]
arXiv, 2023 Endometrial cancer is one of the most common tumors in the female reproductive system and is the third most common gynecological malignancy that causes death after ovarian and cervical cancer. Early diagnosis can significantly improve the 5-year survival rate of patients.
arxiv
Medical Journal of Dr. D.Y. Patil VidyapeethEndometrial stromal tumors are rare uterine mesenchymal neoplasms. Endometrial stromal sarcomas (ESSs) are of endometrial stromal origin that accounts for approximately 1% of all uterine malignant neoplasms.
Narayanamoorthy Keerthyraj +5 more
doaj +1 more source
Mathematical models for order of mutation problem in myeloproliferative neoplasm: non-additivity and non-commutativity [PDF]
arXiv, 2023 In some patients of myeloproliferative neoplasm, two genetic mutations can be found: JAK2 V617F and TET2. When one mutation is present or not, the other mutation has different effects on regulating gene expressions. Besides, when both mutations are present, the order of occurrence might make a difference.
arxiv