Imaging Findings of Breast Metastasis from Squamous Cell Carcinoma of the Cervix: A Case Report
대한영상의학회지, 2019 Metastasis from extramammary malignancy to the breast is rare, and metastasis of cervical cancer to the breast is quite uncommon. We report atypical sonographic findings of a rapid growing, single, and circumscribed mass with complex cystic and solid ...
Dahye Shin +6 more
doaj +1 more source
Tropical Journal of Pathology and Microbiology, 2018 Introduction: Cervical carcinoma is one of the leading causes of death among women worldwide. An estimated of 2,30,000 women die annually from cervical cancer, and almost 1,90,000 are from developing countries.
T. Shetty +4 more
semanticscholar +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
A Rare Case of Synchronous Primary Uterine Cervical Minimal Deviation Adenocarcinoma and low-grade appendiceal mucinous neoplasm [PDF]
, 2023 Junmiao Xiang, Zhuhua Cai, Sisi Yu
openalex +1 more source
Fertility preservation in female cancer patients: Surgical procedures
International Journal of Gynecology &Obstetrics, EarlyView.Abstract The surgical management of cancer patients wishing fertility preservation is multidisciplinary, involving surgeon, anesthetist, hematologist, and nursing and laboratory staff. Many oncology patients have a multitude of medical or surgical conditions that require careful planning of all therapy including surgical removal of reproductive ...
Rishi Roopnarinesingh, Togas Tulandi
wiley +1 more source
CerviXpert: A Multi-Structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell Abnormalities [PDF]
DIGITAL HEALTH, Vol. 10, 2024,Cervical cancer is a major cause of cancer-related mortality among women worldwide, and its survival rate improves significantly with early detection. Traditional diagnostic methods such as Pap smears and cervical biopsies rely heavily on cytologist expertise, making the process prone to human error. This study introduces CerviXpert, a multi-structural
arxiv +1 more source
Histologic Analysis of Gynaecologic Lesions in Nigerians [PDF]
, 2015 Background: Gynaecological neoplasms are a cause of significant morbidity and mortality in females all over the world.Objective: To determine the pattern of gynaecological lesions seen in Me Cure Healthcare, Lagos Nigeria.Design: A descriptive ...
Keshinro, SO, Nwafor, CC, Oshun, P
core +2 more sources
Cancer therapy and reproductive impact
International Journal of Gynecology &Obstetrics, EarlyView.Abstract All patients where the cancer treatment has gonadotoxic potential should be referred for oncofertility advice. The effect of chemotherapy and radiotherapy on the human ovary can vary from no impact to full‐blown premature ovarian failure due to hormonal and follicular depletion.
Dov Feldberg, Nikhil Purandare
wiley +1 more source
Diagnosis of uterine lymphoma on cervical pap smear: Case report and review of literature
Human Pathology: Case Reports, 2021 Hematolymphoid neoplasms rarely involve the cervix, with an overall incidence of less than 1% among all cervical malignancies. Clinical presentations include abnormal uterine bleeding, pelvic discomfort, dyspareunia, back pain and vaginal discharge ...
Preethi Dileep Menon +3 more
doaj
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks [PDF]
arXiv, 2018 Fine-grained classification of cervical cells into different abnormality levels is of great clinical importance but remains very challenging. Contrary to traditional classification methods that rely on hand-crafted or engineered features, convolution neural network (CNN) can classify cervical cells based on automatically learned deep features. However,
arxiv