AIMC Topic: Craniopharyngioma
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Machine learning method based on radiomics help differentiate posterior pituitary tumors from pituitary neuroendocrine tumors and craniopharyngioma.
Scientific reports
Jun 6, 2025
Posterior pituitary tumors (PPTs) are rare neoplasms, but easily misdiagnosed as pituitary neuroendocrine tumor (PitNET) and craniopharyngioma. This study aimed to differentiate PPTs from PitNET and craniopharyngioma using a machine learning method b...
Radiomic study of common sellar region lesions differentiation in magnetic resonance imaging based on multi-classification machine learning model.
BMC medical imaging
May 3, 2025
OBJECTIVE: Pituitary adenomas (PAs), craniopharyngiomas (CRs), Rathke's cleft cysts (RCCs), and tuberculum sellar meningiomas (TSMs) are common sellar region lesions with similar imaging characteristics, making differential diagnosis challenging. Thi...
Machine Learning
Retrospective Studies
Female
Aged
Humans
Central Nervous System Cysts
Magnetic Resonance Imaging
Male
Pituitary Neoplasms
Middle Aged
Adenoma
Young Adult
Adolescent
Meningioma
Diagnosis, Differential
Adult
Support Vector Machine
Meningeal Neoplasms
Radiomics
Sella Turcica
Craniopharyngioma
A Fusion Model of MRI Deep Transfer Learning and Radiomics for Discriminating between Pilocytic Astrocytoma and Adamantinomatous Craniopharyngioma.
Academic radiology
Dec 16, 2024
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a fusion model combining MRI deep transfer learning (DTL) and radiomics for discriminating between pilocytic astrocytoma (PA) and adamantinomatous craniopharyngioma (ACP) in the sella...
Ferroptosis-related biomarkers for adamantinomatous craniopharyngioma treatment: conclusions from machine learning techniques.
Frontiers in endocrinology
Nov 13, 2024
INTRODUCTION: Adamantinomatous craniopharyngioma (ACP) is difficult to cure completely and prone to recurrence after surgery. Ferroptosis as an iron-dependent programmed cell death, may be a critical process in ACP. The study aimed to screen diagnost...
Diagnostic support in pediatric craniopharyngioma using deep learning.
Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
Apr 22, 2024
PURPOSE: We studied a pediatric group of patients with sellar-suprasellar tumors, aiming to develop a convolutional deep learning algorithm for radiological assistance to classify them into their respective cohort.
Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network.
European radiology
Nov 18, 2022
OBJECTIVES: To develop a U-Net-based deep learning model for automated segmentation of craniopharyngioma.
A multi-task two-path deep learning system for predicting the invasiveness of craniopharyngioma.
Computer methods and programs in biomedicine
Jan 21, 2022
BACKGROUND AND OBJECTIVE: Craniopharyngioma is a kind of benign brain tumor in histography. However, it might be clinically aggressive and have severe manifestations, such as increased intracranial pressure, hypothalamic-pituitary dysfunction, and vi...
Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images.
Scientific reports
Oct 9, 2020
Deep learning (DL) is a widely applied mathematical modeling technique. Classically, DL models utilize large volumes of training data, which are not available in many healthcare contexts. For patients with brain tumors, non-invasive diagnosis would r...
Gene expression profiles reveal key genes for early diagnosis and treatment of adamantinomatous craniopharyngioma.
Cancer gene therapy
Apr 23, 2018
Adamantinomatous craniopharyngioma (ACP) is an aggressive brain tumor that occurs predominantly in the pediatric population. Conventional diagnosis method and standard therapy cannot treat ACPs effectively. In this paper, we aimed to identify key gen...
Unraveling the complexity of the senescence-associated secretory phenotype in adamantinomatous craniopharyngioma using multimodal machine learning analysis.
Neuro-oncology
Jun 3, 2024
BACKGROUND: Cellular senescence can have positive and negative effects on the body, including aiding in damage repair and facilitating tumor growth. Adamantinomatous craniopharyngioma (ACP), the most common pediatric sellar/suprasellar brain tumor, p...
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