ArticlePolish journal of radiology2025
The use of ADC histogram analysis in the diagnosis and determination of aggressiveness of peripheral zone prostate cancer.
Article in Polish journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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
3 citing papers in PubMed.
- Diagnostic value of whole-tumor ADC histogram parameters combined with ISUP grade and MRI-EPE score for predicting extracapsular extension in PI-RADS 4-5 prostate cancer.Frontiers in oncology · 2026Article
- Predictive Value of Quantitative ADC, SUVmax, and the SUVmax/ADC Ratio for Biological Behavior and Prognosis in High-Risk Prostate Cancer.Journal of clinical medicine · 2025Article
- Quantitative Histogram Analysis of 5.0T Multiparametric MRI for Discrimination Between Prostate Cancer and Benign Hyperplasia.Technology in cancer research & treatmentArticle
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The purpose of this study was to determine the effectiveness of ADC histogram analysis in diagnosing and determining the aggressiveness of peripheral zone (PZ) prostate cancer, and to reveal the relationship between Gleason and PI-RADS scores.Material and method: 61 patients who underwent standard 12-core and cognitive prostate biopsy and multiparametric prostate magnetic resonance imaging before biopsy were included in the study. According to the pathology results, patients were classified as either having clinically significant cancer with malignancy ( Results: ADC max, standard deviation, entropy, voxel count, and volume were found to be significantly different between the benign and malignant groups ( Conclusions: ADC histogram data contribute to the diagnosis of benign-malignant differentiation in PZ prostate lesions and predict the Gleason score in malignant lesions.
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