Results 121 to 130 of about 13,229 (227)

Mucoepidermoid Carcinoma of Uterine Cervix: A Distinct Pathological and Clinical Entity

open access: yesCase Reports in Obstetrics and Gynecology, 2015
Mucoepidermoid carcinoma of uterine cervix is a rare tumor that has some individual features. Defining risk factors after surgery shape the postoperative treatment modality on cervical cancer patients.
Ilker Selcuk   +5 more
doaj   +1 more source

A 14-year retrospective study on clinical and histopathological features of epithelial salivary gland neoplasms [PDF]

open access: yesRevista Portuguesa de Estomatologia, Medicina Dentária e Cirurgia Maxilofacial
Objectives: To investigate and describe the clinicopathological profile of pleomorphic adenoma, salivary adenoid cystic carcinoma, and mucoepidermoid carcinoma cases at a Northeast Brazilian Oral Pathology referral center.
Flávia Luiza Santos Rodrigues   +4 more
doaj   +1 more source

Modelo de Tratamiento para Tumores en Presencia de Radiación [PDF]

open access: yesarXiv, 2017
In this work, we combine a new form of the cell survival fraction developed in [29] with the Gompertz cell growth model. The result is an equation that models the cell growth/death under a radiation dose and can be applied in a conventional radiation treatment (we chose conventional fractionation and hypofractionation).
arxiv  

An Update on Grading of Salivary Gland Carcinomas [PDF]

open access: yes, 2009
Histologic grade is a significant predictor of outcome in salivary gland carcinomas. However, the sheer variety of tumor type and the rarity of these tumors pose challenges to devising highly predictive grading schemes. As our knowledge base has evolved,
DE Cruz Perez da   +21 more
core   +2 more sources

Carcinoma mucoepidermoide della base della lingua [PDF]

open access: yes, 2015
Mucoepidermoid carcinoma (MEC) is the most common malignant, locally-invasive tumour of the salivary glands, and accounts for approximately 35% of all malignancies of the major and minor salivary gland.
Di Lullo, A.M.   +5 more
core   +1 more source

CRTC1â MAML2 fusion in mucoepidermoid carcinoma of the breast [PDF]

open access: yes, 2019
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147797/1/his13779_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147797/2/his13779.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147797/3/his13779-sup-0001-TableS1 ...
Bajaj   +60 more
core   +1 more source

Identification of a Proliferation Gene Cluster Associated with HPV E6/E7 Expression Level and Viral DNA Load in Invasive Cervical Carcinoma [PDF]

open access: yesOncogene vol 24, p 7094-7104 (2005), 2005
Specific HPV DNA sequences are associated with more than 90% of invasive carcinomas of the uterine cervix. Viral E6 and E7 oncogenes are key mediators in cell transformation by disrupting TP53 and RB pathways. To investigate molecular mechanisms involved in the progression of invasive cervical carcinoma, we performed a gene expression study on cases ...
arxiv  

Modeling and simulation of a low grade urinary bladder carcinoma [PDF]

open access: yesarXiv, 2013
In this work, we present a mathematical model of the initiation and progression of a low-grade urinary bladder carcinoma. We simulate the crucial processes involved in tumor growth, such as oxygen diffusion, carcinogen penetration, and angiogenesis, within the framework of the urothelial cell dynamics.
arxiv  

VisionLLM-based Multimodal Fusion Network for Glottic Carcinoma Early Detection [PDF]

open access: yesarXiv
The early detection of glottic carcinoma is critical for improving patient outcomes, as it enables timely intervention, preserves vocal function, and significantly reduces the risk of tumor progression and metastasis. However, the similarity in morphology between glottic carcinoma and vocal cord dysplasia results in suboptimal detection accuracy.
arxiv  

Classification of Breast Cancer Histology using Deep Learning [PDF]

open access: yesarXiv, 2018
Breast Cancer is a major cause of death worldwide among women. Hematoxylin and Eosin (H&E) stained breast tissue samples from biopsies are observed under microscopes for the primary diagnosis of breast cancer. In this paper, we propose a deep learning-based method for classification of H&E stained breast tissue images released for BACH challenge 2018 ...
arxiv  

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