AIMC Topic: Pituitary Gland

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ConsisTNet: a spatio-temporal approach for consistent anatomical localization in endoscopic pituitary surgery.

International journal of computer assisted radiology and surgery Apr 29, 2025
PURPOSE: Automated localization of critical anatomical structures in endoscopic pituitary surgery is crucial for enhancing patient safety and surgical outcomes. While deep learning models have shown promise in this task, their predictions often suffe...
Humans Pituitary Neoplasms Surgery, Computer-Assisted Pituitary Gland Endoscopy Spatio-Temporal Analysis Deep Learning
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A deep learning approach to predict differentiation outcomes in hypothalamic-pituitary organoids.

Communications biology Dec 6, 2024
We use three-dimensional culture systems of human pluripotent stem cells for differentiation into pituitary organoids. Three-dimensional culture is inherently characterized by its ability to induce heterogeneous cell populations, making it difficult ...
Pluripotent Stem Cells Deep Learning Organoids Humans Cell Differentiation Hypothalamus Pituitary Gland
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Pituitary MRI Radiomics Improves Diagnostic Performance of Growth Hormone Deficiency in Children Short Stature: A Multicenter Radiomics Study.

Academic radiology May 25, 2024
RATIONALE AND OBJECTIVES: To develop an efficient machine-learning model using pituitary MRI radiomics and clinical data to differentiate growth hormone deficiency (GHD) from idiopathic short stature (ISS), making the diagnostic process more acceptab...
Retrospective Studies Female Radiomics Humans Machine Learning Child, Preschool Child Magnetic Resonance Imaging Male Human Growth Hormone Growth Disorders Diagnosis, Differential Pituitary Gland
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deepPGSegNet: MRI-based pituitary gland segmentation using deep learning.

Frontiers in endocrinology Feb 2, 2024
INTRODUCTION: In clinical research on pituitary disorders, pituitary gland (PG) segmentation plays a pivotal role, which impacts the diagnosis and treatment of conditions such as endocrine dysfunctions and visual impairments. Manual segmentation, whi...
Pituitary Gland Humans Research Design Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Thin-Slice Pituitary MRI with Deep Learning-based Reconstruction: Diagnostic Performance in a Postoperative Setting.

Radiology Nov 3, 2020
Background Achieving high-spatial-resolution pituitary MRI is challenging because of the trade-off between image noise and spatial resolution. Deep learning-based MRI reconstruction enables image denoising with sharp edges and reduced artifacts, whic...
Pituitary Gland Adenoma Postoperative Care Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Neoplasm Invasiveness Pituitary Neoplasms Humans Female Male Middle Aged Deep Learning
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A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.

European journal of radiology Feb 13, 2020
PURPOSE: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic resonance imaging (MRI) but can be classified with immunohistochemical staining after surgery. In this study, a model to precisely immunohistochemical...
Retrospective Studies Pituitary Gland Female Aged Middle Aged Image Interpretation, Computer-Assisted Humans Young Adult Adolescent Immunohistochemistry Machine Learning Adult Magnetic Resonance Imaging Pituitary Neoplasms Preoperative Care Male Adenoma Bayes Theorem
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Leptin Stimulates Prolactin mRNA Expression in the Goldfish Pituitary through a Combination of the PI3K/Akt/mTOR, MKK/pMAPK and MEK/ERK Signalling Pathways.

International journal of molecular sciences Dec 20, 2017
Leptin actions at the pituitary level have been extensively investigated in mammalian species, but remain insufficiently characterized in lower vertebrates, especially in teleost fish. Prolactin (PRL) is a pituitary hormone of central importance to o...
Receptors, Leptin Leptin Phosphatidylinositol 3-Kinases Fish Proteins MAP Kinase Signaling System Cells, Cultured Proto-Oncogene Proteins c-akt Goldfish Prolactin Animals TOR Serine-Threonine Kinases Pituitary Gland RNA, Messenger
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Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data.

Computers in biology and medicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Surgical Phase Recognition systems are used to support the automated documentation of a procedure and to provide the surgical team with real-time feedback, potentially improving surgical outcome and reducing adverse events. ...
Video Recording Pituitary Gland Endoscopy Image Processing, Computer-Assisted Humans Surgery, Computer-Assisted Neural Networks, Computer Databases, Factual
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Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery.

Pituitary Oct 1, 2020
PURPOSE: Hyponatremia after pituitary surgery is a frequent finding with potential severe complications and the most common cause for readmission. Several studies have found parameters associated with postoperative hyponatremia, but no reliable speci...
Humans Machine Learning Retrospective Studies Female Aged Pituitary Diseases Feasibility Studies Adult Postoperative Period Male Pituitary Gland Middle Aged
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