AIMC Topic: Lymphoma

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Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.

Clinical and experimental rheumatology Aug 14, 2018
OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which specific and effective therapeutic interventions are still lacking. In this era of precision medicine, there is a clear need for a better definition of dis...
Autoantibodies Data Mining Serologic Tests Sjogren's Syndrome Lymphoma Diagnosis, Differential Predictive Value of Tests Principal Component Analysis Reproducibility of Results Risk Factors Aged Male Middle Aged Disease Progression Severity of Illness Index Diagnosis, Computer-Assisted Phenotype Biomarkers Prognosis Female Humans Neural Networks, Computer Decision Support Techniques
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Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine May 16, 2018
PURPOSE: Although advanced MRI techniques are increasingly available, imaging differentiation between glioblastoma and primary central nervous system lymphoma (PCNSL) is sometimes confusing. We aimed to evaluate the performance of image classificatio...
Diagnosis, Differential Glioblastoma Image Interpretation, Computer-Assisted Central Nervous System Neoplasms Humans Machine Learning Retrospective Studies ROC Curve Support Vector Machine Lymphoma Contrast Media Magnetic Resonance Imaging
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Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.

AJNR. American journal of neuroradiology Apr 27, 2017
BACKGROUND AND PURPOSE: Accurate preoperative differentiation of primary central nervous system lymphoma and enhancing glioma is essential to avoid unnecessary neurosurgical resection in patients with primary central nervous system lymphoma. The purp...
ROC Curve Glioma Support Vector Machine Lymphoma Magnetic Resonance Imaging Diagnosis, Differential Image Interpretation, Computer-Assisted Image Enhancement Adult Sensitivity and Specificity Male Middle Aged Humans Algorithms Female Central Nervous System Neoplasms
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Gradient Boosted Decision Tree Classification of Endophthalmitis Versus Uveitis and Lymphoma from Aqueous and Vitreous IL-6 and IL-10 Levels.

Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics Feb 3, 2017
PURPOSE: To investigate the effectiveness of gradient boosting to classify endophthalmitis versus uveitis and lymphoma by intraocular cytokine levels.
Endophthalmitis Humans Machine Learning Lymphoma Decision Trees Data Interpretation, Statistical Uveitis Interleukin-10 Interleukin-6 Water ROC Curve
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Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats.

Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc Oct 3, 2016
Inflammatory bowel disease (IBD) and alimentary lymphoma (ALA) are common gastrointestinal diseases in cats. The very similar clinical signs and histopathologic features of these diseases make the distinction between them diagnostically challenging. ...
Cat Diseases Diagnostic Techniques and Procedures Bayes Theorem Blood Chemical Analysis Blood Cell Count Cats Machine Learning Algorithms Inflammatory Bowel Diseases Female Animals Male Lymphoma Decision Trees Neural Networks, Computer
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Automatic negation detection in narrative pathology reports.

Artificial intelligence in medicine Mar 24, 2015
OBJECTIVE: To detect negations of medical entities in free-text pathology reports with different approaches, and evaluate their performances.
Data Mining Medical Informatics Pathology Machine Learning Algorithms Support Vector Machine Lymphoma
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Metabolic pathway alterations in cerebrospinal fluid as diagnostic biomarkers for primary central nervous system lymphoma.

Clinica chimica acta; international journal of clinical chemistry Jul 15, 2025
Primary Central Nervous System Lymphoma (PCNSL) is a rare and aggressive type of hematological malignancy that can pose diagnostic challenges. Early detection is critical for effective treatment and better patient outcomes. The goal of this study was...
Lymphoma Metabolomics Metabolic Networks and Pathways Central Nervous System Neoplasms Humans Female Biomarkers, Tumor Male
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[A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery Jul 1, 2025
To development a deep learning（DL） model based on conventional MRI for automatic segmentation and differential diagnosis of nasopharyngeal carcinoma（NPC） and nasopharyngeal lymphoma（NPL）. The retrospective study included 142 patients with NPL and 292...
Humans Retrospective Studies Female Adult Lymphoma Magnetic Resonance Imaging Diagnosis, Differential Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Male Middle Aged Deep Learning ROC Curve
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Artificial intelligence based malignant lymphoma type prediction using enhanced super resolution image and hybrid feature extraction algorithm.

Computers in biology and medicine Jul 1, 2025
In the medical field, the most common and frequent type of blood cancer is lymphoma. Accurately predicting and early response to lymphoma treatment will be useful for initiating treatment plans to achieve a greater rate of cure or reduced risk of tre...
Lymphoma Positron-Emission Tomography Image Interpretation, Computer-Assisted Fluorodeoxyglucose F18 Algorithms Female Male Image Processing, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence
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Multi-class brain malignant tumor diagnosis in magnetic resonance imaging using convolutional neural networks.

Brain research bulletin Jun 1, 2025
Glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) are common malignant brain tumors with similar radiological features, while the accurate and non-invasive dialgnosis is essential for selecting appropriate...
Humans Neural Networks, Computer Female Aged Deep Learning Convolutional Neural Networks Lymphoma Magnetic Resonance Imaging Adult Brain Neoplasms Male Middle Aged Glioblastoma
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