Results 41 to 50 of about 54,302 (180)

Mathematical models for order of mutation problem in myeloproliferative neoplasm: non-additivity and non-commutativity [PDF]

open access: yesarXiv, 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  

ROLE OF HEREDITARY FACTORS IN THE DEVELOPMENT OF GLIAL BRAIN TUMORS

open access: yesŽurnal Grodnenskogo Gosudarstvennogo Medicinskogo Universiteta, 2018
Background. The analysis data on the malignant neoplasms incidence among first-degree relatives of probands with glial brain tumors are presented. Goal.
Pashkevich A. M.   +2 more
doaj   +1 more source

Spontaneous regression of a rectal tonsil presenting as a large submucosal tumor

open access: yesDEN Open, 2022
Rectal tonsils are localized hyperplastic lymphoid tissues in the rectum, and the initial endoscopic findings are consistent with those for neoplastic lesions. However, rectal tonsils are benign entities, and the diagnosis should be made cautiously. A 70‐
Toru Matsui   +6 more
doaj   +1 more source

Covariance Self-Attention Dual Path UNet for Rectal Tumor Segmentation [PDF]

open access: yesarXiv, 2020
Deep learning algorithms are preferable for rectal tumor segmentation. However, it is still a challenge task to accurately segment and identify the locations and sizes of rectal tumors by using deep learning methods. To increase the capability of extracting enough feature information for rectal tumor segmentation, we propose a Covariance Self-Attention
arxiv  

Order-of-mutation effects on cancer progression: models for myeloproliferative neoplasm [PDF]

open access: yesarXiv, 2023
We develop a modeling framework for cancer progression that distinguishes the order of two possible mutations. Recent observations and information on myeloproliferative neoplasms are analyzed within our framework. In some patients with myeloproliferative neoplasms, two genetic mutations can be found, JAK2 V617F and TET2.
arxiv  

Attention Augmented ConvNeXt UNet For Rectal Tumour Segmentation [PDF]

open access: yesarXiv, 2022
It is a challenge to segment the location and size of rectal cancer tumours through deep learning. In this paper, in order to improve the ability of extracting suffi-cient feature information in rectal tumour segmentation, attention enlarged ConvNeXt UNet (AACN-UNet), is proposed.
arxiv  

Current Colorectal Cancer in Thailand [PDF]

open access: yesAnnals of Coloproctology, 2020
This article aimed to summarize the current status of colorectal cancer (CRC) in Thailand. In brief, CRC is the third most common cancer and accounts for 11% of the cancer burden in Thailand.
Varut Lohsiriwat   +3 more
doaj   +1 more source

Multiple rectal carcinoids with diffuse ganglioneuromatosis

open access: yesWorld Journal of Surgical Oncology, 2007
Background Rectal carcinoids comprise only about 1% of all anorectal neoplasms. In addition, ganglioneuroma of the gastrointestinal tract is a rare tumor composed ganglion cells, nerve fibers, and supporting cells.
Kosaka Taiichiro   +7 more
doaj   +1 more source

Optimal Time Interval for Surgery After Neoadjuvant Chemoradiotherapy in Patients With Locally Advanced Rectal Cancer: Analysis of Health Insurance Review and Assessment Service Data [PDF]

open access: yesAnnals of Coloproctology, 2018
Purpose Pathologic downstaging of rectal cancer has been suggested to be associated with the time interval from chemoradiotherapy (CRT) completion to surgery.
Min Jung Kim   +4 more
doaj   +1 more source

Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging [PDF]

open access: yesarXiv, 2023
Rectal cancer is one of the most common diseases and a major cause of mortality. For deciding rectal cancer treatment plans, T-staging is important. However, evaluating the index from preoperative MRI images requires high radiologists' skill and experience.
arxiv  

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