Results 71 to 80 of about 3,128,159 (361)
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
Annals of Gastroenterological Surgery, EarlyView.This study investigates the long‐term endocrine and metabolic consequences of ghrelin‐depleted gastrectomy, with a focus on skeletal muscle mass and bone mineral content. Sustained reductions in serum desacyl‐ghrelin were linked to lower IGF‐1 levels, resulting in significant loss of muscle and bone.
Hiroki Harada +9 more
wiley +1 more source
Journal of Translational Medicine, 2019 Background Pituitary adenomas are common brain tumors. Although transsphenoidal surgery are able to achieve extensive tumor removal, the rate of recurrence ranges from 5 to 20% depending on the different subtype.
Jie Feng +12 more
doaj +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Refractory pituitary adenoma: a novel classification for pituitary tumors
OncoTarget, 2016 Pituitary adenomas are classified as typical or atypical, invasive or noninvasive, and aggressive or nonaggressive based on pathological features, radiological findings, and clinical behavior.
Congxin Dai +13 more
semanticscholar +1 more source
On‐Device Brain Tumor Classification from MR Images Using Smartphone
Advanced Intelligent Systems, EarlyView.Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun +3 more
wiley +1 more source
World Journal of Surgical Oncology, 2023 Purpose Currently, endoscopic transsphenoidal surgery is the main treatment for pituitary neuroendocrine tumors (PitNETs). Excision of the tumor may have positive or negative effects on pituitary endocrine function, and the pituitary function of ...
Ding Nie +6 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a deep learning‐based system for classifying brain tumors from magnetic resonance imaging images. Four datasets were created using various wavelet transforms and original images. Several convolutional neural network and vision transformer models were trained via transfer learning, and an ensemble of top models achieved 85.03 ...
Ismail Oztel
wiley +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
Tissue‐Resident Myeloid and Histiocytic Cells in Health and Disease: Novel Emerging Concepts
American Journal of Hematology, EarlyView.ABSTRACT Although all myeloid cells are considered to derive from hematopoietic stem cells, the cells in each myeloid lineage are heterogeneous populations, and their distribution and functions vary, depending on underlying physiologic and pathologic processes, age, sex, and genetic and epigenetic signatures.
Peter Valent +27 more
wiley +1 more source