ArticleEuropean radiology2022
Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation study.
Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Pre-treatment MRI-derived fractal dimension as a prognostic marker in cervical cancer treated with definitive radiotherapy with or without concurrent chemotherapy.BMC medical imaging · 2026Article
- 3D fractal dimension analysis of CT imaging for microvascular invasion prediction in hepatocellular carcinoma.European radiology · 2026Article
- Fractal Dimension of High-Risk Neuroblastoma Vascularity in MRI Is Associated with Chemotherapy Response and Event-Free Survival.Radiology. Imaging cancer · 2026Article
- Fractal analysis of longitudinal MRI for predicting response to neoadjuvant chemotherapy in breast cancer.NPJ precision oncology · 2025Article
- Feasibility of ADC histogram analysis for predicting of postoperative recurrence in aggressive spinal tumors.Journal of bone oncology · 2025Article
- [Analysis of the Argentine residency system from the paradigm of Complexity Sciences]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2023Review
- The Fractal Viewpoint of Tumors and Nanoparticles.Current medicinal chemistry · 2023Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesMultiparametric MRI with Prostate Imaging Reporting and Data System (PI-RADS) assessment is sensitive but not specific for detecting clinically significant prostate cancer. This study validates the diagnostic accuracy of the recently suggested fractal dimension (FD) of perfusion for detecting clinically significant cancer. MATERIALS AND
methodsRoutine clinical MR imaging data, acquired at 3 T without an endorectal coil including dynamic contrast-enhanced sequences, of 72 prostate cancer foci in 64 patients were analyzed. In-bore MRI-guided biopsy with International Society of Urological Pathology (ISUP) grading served as reference standard. Previously established FD cutoffs for predicting tumor grade were compared to measurements of the apparent diffusion coefficient (25th percentile, ADC
resultsFractal analysis allowed prediction of ISUP grade groups 1 to 4 but not 5, with high agreement to the reference standard (κ
conclusionsFractal analysis is accurate in noninvasively predicting tumor grades in prostate cancer and adds independent information when implemented into PI-RADS assessment. This opens the opportunity to individually adjust biopsy priority and method in individual patients. KEY POINTS: • Fractal analysis of perfusion is accurate in noninvasively predicting tumor grades in prostate cancer using dynamic contrast-enhanced sequences (κ
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