SynthesisEuropean radiology2014
Fractal analysis in radiological and nuclear medicine perfusion imaging: a systematic review.
Synthesis in European radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 47 citations in OpenAlex.
- Fractal dimension of the aortic annulus: a novel predictor of paravalvular leak after transcatheter aortic valve implantation.The international journal of cardiovascular imaging · 2022Trial
- 3D fractal dimension analysis of CT imaging for microvascular invasion prediction in hepatocellular carcinoma.European radiology · 2026Article
- Diagnostic efficacy of dual-energy computed tomography-based fractal analysis for assessing extramural venous invasion/tumor deposits and peripheral nerve invasion in rectal cancer.Quantitative imaging in medicine and surgery · 2026Article
- Fractal Analysis of Intramuscular Adipose Tissue on CT Serves as a Novel Imaging Biomarker for Metabolic Syndrome.International journal of medical sciences · 2026Article
- Fractal Dimension of High-Risk Neuroblastoma Vascularity in MRI Is Associated with Chemotherapy Response and Event-Free Survival.Radiology. Imaging cancer · 2026Article
- Feasibility of ADC histogram analysis for predicting of postoperative recurrence in aggressive spinal tumors.Journal of bone oncology · 2025Article
- Fractals in Neuroimaging.Advances in neurobiology · 2024Article
- Morphological profiling by high-throughput single-cell biophysical fractometry.Communications biology · 2023Article
- Prediction of prostate cancer grade using fractal analysis of perfusion MRI: retrospective proof-of-principle study.European radiology · 2022Article
- Differentiation of hepatocellular adenoma by subtype and hepatocellular carcinoma in non-cirrhotic liver by fractal analysis of perfusion MRI.Insights into imaging · 2022Article
- Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation study.European radiology · 2022Article
- Fractal analysis of 4D dynamic myocardial stress-CT perfusion imaging differentiates micro- and macrovascular ischemia in a multi-center proof-of-concept study.Scientific reports · 2022Article
- Article
- The exploration of quantitative intra-tumoral metabolic heterogeneity in dual-timeAbdominal radiology (New York) · 2021Article
- Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis.Neuroradiology · 2020Review
- AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.European journal of nuclear medicine and molecular imaging · 2019Review
- Small Cell Lung Cancer Therapeutic Responses Through Fractal Measurements: From Radiology to Mitochondrial Biology.Journal of clinical medicine · 2019Article
- The Complexity and Fractal Geometry of Nuclear Medicine Images.Molecular imaging and biology · 2019Review
- Biofabrication strategies for creating microvascular complexity.Biofabrication · 2019Review
- Impact of a combination of quantitative indices representing uptake intensity, shape, and asymmetry in DAT SPECT using machine learning: comparison of different volume of interest settings.EJNMMI research · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo provide an overview of recent research in fractal analysis of tissue perfusion imaging, using standard radiological and nuclear medicine imaging techniques including computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET) and single-photon emission computed tomography (SPECT) and to discuss implications for different fields of application.
methodsA systematic review of fractal analysis for tissue perfusion imaging was performed by searching the databases MEDLINE (via PubMed), EMBASE (via Ovid) and ISI Web of Science.
resultsThirty-seven eligible studies were identified. Fractal analysis was performed on perfusion imaging of tumours, lung, myocardium, kidney, skeletal muscle and cerebral diseases. Clinically, different aspects of tumour perfusion and cerebral diseases were successfully evaluated including detection and classification. In physiological settings, it was shown that perfusion under different conditions and in various organs can be properly described using fractal analysis.
conclusionsFractal analysis is a suitable method for quantifying heterogeneity from radiological and nuclear medicine perfusion images under a variety of conditions and in different organs. Further research is required to exploit physiologically proven fractal behaviour in the clinical setting. KEY POINTS: • Fractal analysis of perfusion images can be successfully performed. • Tumour, pulmonary, myocardial, renal, skeletal muscle and cerebral perfusion have already been examined. • Clinical applications of fractal analysis include tumour and brain perfusion assessment. • Fractal analysis is a suitable method for quantifying perfusion heterogeneity. • Fractal analysis requires further research concerning the development of clinical applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.