ArticleJournal of experimental & clinical cancer research : CR2009
Non-Hodgkin lymphoma response evaluation with MRI texture classification.
Article in Journal of experimental & clinical cancer research : CR, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current status and quality of radiomics studies in lymphoma: a systematic review.European radiology · 2020Pooled it
- Utility of contrast-enhanced MRI radiomics features combined with clinical indicators for predicting induction chemotherapy response in primary central nervous system lymphoma.Journal of neuro-oncology · 2024Article
- Opportunistic Evaluation of Trabecular Bone Texture by MRI Reflects Bone Mineral Density and Microarchitecture.The Journal of clinical endocrinology and metabolism · 2023Article
- Mapping Spatiotemporal Heterogeneity in Tumor Profiles by Integrating High-Throughput Imaging and Omics Analysis.ACS omega · 2023Review
- Radiomics Features Differentiate Between Normal and Tumoral High-Fdg Uptake.Scientific reports · 2018Article
- CT-based texture analysis potentially provides prognostic information complementary to interim fdg-pet for patients with hodgkin's and aggressive non-hodgkin's lymphomas.European radiology · 2017Article
- Texture analysis in gel electrophoresis images using an integrative kernel-based approach.Scientific reports · 2016Article
- Childhood extracranial neoplasms: the role of imaging in drug development and clinical trials.Pediatric radiology · 2015Review
- Texture analysis of preoperative CT images for prediction of postoperative hepatic insufficiency: a preliminary study.Journal of the American College of Surgeons · 2015Article
- Article
- Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis.European journal of nuclear medicine and molecular imaging · 2013Review
- Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?Insights into imaging · 2012Article
- MRI texture analysis in multiple sclerosis.International journal of biomedical imaging · 2012Article
- Texture analysis of poly-adenylated mRNA staining following global brain ischemia and reperfusion.Computer methods and programs in biomedicine · 2012Article
- Texture analysis of MR images of patients with mild traumatic brain injury.BMC medical imaging · 2010Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo show magnetic resonance imaging (MRI) texture appearance change in non-Hodgkin lymphoma (NHL) during treatment with response controlled by quantitative volume analysis.
methodsA total of 19 patients having NHL with an evaluable lymphoma lesion were scanned at three imaging timepoints with 1.5T device during clinical treatment evaluation. Texture characteristics of images were analyzed and classified with MaZda application and statistical tests.
resultsNHL tissue MRI texture imaged before treatment and under chemotherapy was classified within several subgroups, showing best discrimination with 96% correct classification in non-linear discriminant analysis of T2-weighted images.Texture parameters of MRI data were successfully tested with statistical tests to assess the impact of the separability of the parameters in evaluating chemotherapy response in lymphoma tissue.
conclusionTexture characteristics of MRI data were classified successfully; this proved texture analysis to be potential quantitative means of representing lymphoma tissue changes during chemotherapy response monitoring.
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