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...
Principal Component Analysis Autoantibodies Data Mining Serologic Tests Sjogren's Syndrome Diagnosis, Computer-Assisted Lymphoma Diagnosis, Differential Predictive Value of Tests Middle Aged Disease Progression Severity of Illness Index Phenotype Biomarkers Prognosis Female Reproducibility of Results Risk Factors Aged Male 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...
Contrast Media Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma ROC Curve Support Vector Machine Lymphoma Image Interpretation, Computer-Assisted Central Nervous System Neoplasms Humans Machine Learning Retrospective Studies
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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...
Sensitivity and Specificity Male Middle Aged ROC Curve Glioma Support Vector Machine Lymphoma Magnetic Resonance Imaging Humans Central Nervous System Neoplasms Algorithms Diagnosis, Differential Female Image Interpretation, Computer-Assisted Adult Image Enhancement
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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.
Data Interpretation, Statistical Uveitis Endophthalmitis Water ROC Curve Lymphoma Decision Trees Humans Machine Learning Interleukin-10 Interleukin-6
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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. ...
Blood Cell Count Cats Cat Diseases Diagnostic Techniques and Procedures Decision Trees Bayes Theorem Blood Chemical Analysis Neural Networks, Computer Machine Learning Algorithms Inflammatory Bowel Diseases Female Animals Male Lymphoma
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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.
Lymphoma Data Mining Machine Learning Medical Informatics Algorithms Pathology Support Vector Machine
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Digital pathology and image analysis of p53 biomarker in lymphomas using two algorithms: correlation with genotype and visual inspection.

Journal of clinical pathology Oct 17, 2025
p53 immunohistochemistry (IHC) is widely used as a rapid surrogate for detecting mutations, with mutations being a key biomarker for poor outcomes in lymphomas. We developed two algorithms using digital quantification tools to assess p53 expression...
Humans Algorithms Reproducibility of Results Mutation Biomarkers, Tumor Image Interpretation, Computer-Assisted Genotype Tumor Suppressor Protein p53 Lymphoma Immunohistochemistry Predictive Value of Tests
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Performance of AI methods in PET-based imaging for outcome prediction in lymphoma: A systematic review and meta-analysis.

European journal of radiology Sep 1, 2025
OBJECTIVES: To evaluate the predictive performance of artificial intelligence (AI) methods using pre-treatment PET-based imaging for outcome prediction in lymphoma through a systematic review and meta-analysis.
Artificial Intelligence Humans Lymphoma Positron-Emission Tomography
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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...
Biomarkers, Tumor Male Lymphoma Metabolomics Humans Female Metabolic Networks and Pathways Central Nervous System Neoplasms
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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...
Nasopharyngeal Neoplasms Retrospective Studies Magnetic Resonance Imaging Humans Middle Aged Diagnosis, Differential Female Deep Learning Nasopharyngeal Carcinoma Adult ROC Curve Male Lymphoma
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