Results 71 to 80 of about 3,081,001 (310)
Metastatic Tumors to the Pituitary
American Journal of Ophthalmology, 1995 To illustrate how the ophthalmologist can distinguish a metastatic tumor to the pituitary from a pituitary adenoma through clinical, particularly ophthalmic, findings.We studied three patients with metastatic disease to the pituitary. One patient had a history of breast cancer without known metastatic disease, and two patients had no previous diagnosis
Matthew D. Kay +2 more
openaire +4 more sources
QuickTumorNet: Fast Automatic Multi-Class Segmentation of Brain Tumors [PDF]
arXiv, 2020 Non-invasive techniques such as magnetic resonance imaging (MRI) are widely employed in brain tumor diagnostics. However, manual segmentation of brain tumors from 3D MRI volumes is a time-consuming task that requires trained expert radiologists. Due to the subjectivity of manual segmentation, there is low inter-rater reliability which can result in ...
arxiv
Residual Tumor Confers a 10-Fold Increased Risk of Regrowth in Clinically Nonfunctioning Pituitary Tumors. [PDF]
, 2019 ObjectiveWe evaluated tumor recurrence and regrowth rates following endoscopic transnasal transsphenoidal (TNTS) surgical removal in a consecutive series of clinically nonfunctioning pituitary adenomas (CNFTs).DesignRetrospective chart review of clinical,
Bergsneider, Marvin +10 more
core +1 more source
TRH: Pathophysiologic and clinical implications [PDF]
, 1985 Thyrotropin releasing hormone is thought to be a tonic stimulator of the pituitary TSH secretion regulating the setpoint of the thyrotrophs to the suppressive effect of thyroid hormones. The peptide stimulates the release of normal and elevated prolactin.
A. Enjalbert +82 more
core +1 more source
Stem Cells, 2016 The existence of tissue‐specific progenitor/stem cells in the adult pituitary gland of the mouse has been demonstrated recently using genetic tracing experiments.
J. Martínez-Barbera, C. Andoniadou
semanticscholar +1 more source
Brain Tumor MRI Classification using a Novel Deep Residual and Regional CNN [PDF]
arXiv, 2022 Brain tumor classification is crucial for clinical analysis and an effective treatment plan to cure patients. Deep learning models help radiologists to accurately and efficiently analyze tumors without manual intervention. However, brain tumor analysis is challenging because of its complex structure, texture, size, location, and appearance.
arxiv
The 'incidentaloma' of the pituitary gland. Is neurosurgery required? [PDF]
, 1990 We describe a series of 18 patients with an intrasellar mass incidentally discovered by computed tomography or magnetic resonance imaging. The average size of the mass was 13 mm, with a range from 5 to 25 mm.
Allolio, Bruno +4 more
core +1 more source
Hybrid Model using Feature Extraction and Non-linear SVM for Brain Tumor Classification [PDF]
arXiv, 2022 It is essential to classify brain tumors from magnetic resonance imaging (MRI) accurately for better and timely treatment of the patients. In this paper, we propose a hybrid model, using VGG along with Nonlinear-SVM (Soft and Hard) to classify the brain tumors: glioma and pituitary and tumorous and non-tumorous.
arxiv
Target delineation and optimal radiosurgical dose for pituitary tumors
Radiation Oncology, 2016 Stereotactic radiosurgery (SRS) delivered as either single-fraction or multi-fraction SRS (2–5 fractions) is frequently employed in patients with residual or recurrent pituitary adenoma. The most common delivery systems used for SRS include the cobalt-60
G. Minniti, M. Osti, M. Niyazi
semanticscholar +1 more source
Tumor of the Pituitary Body [PDF]
The Journal of Nervous and Mental Disease, 1893 n ...
openaire +3 more sources