ArticleJournal of applied clinical medical physics2024
Quantitative MRI biomarker for classification of clinically significant prostate cancer: Calibration for reproducibility across echo times.
Article in Journal of applied clinical medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Systematic effects of patient factors and scanner/protocol factors on a Restriction Spectrum Imaging (RSI) quantitative MRI biomarker for prostate cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Post hoc estimation of a quantitative restriction spectrum imaging biomarker for prostate cancer detection using conventional MRI.Journal of applied clinical medical physics · 2026Article
- Quantitative MRI biomarker for classification of clinically significant prostate cancer: Calibration for reproducibility across echo times.Journal of applied clinical medical physics · 2024Article
- Magnetic resonance imaging/ultrasound fusion-guided targeted biopsy and ultrasound-guided systematic biopsy for prior negative prostate biopsy: A meta-analysis.Indian journal of urology : IJU : journal of the Urological Society of IndiaArticle
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Authors and funding
7 authors.
Funding
Abstract
purposeThe purpose of the present study is to develop a calibration method to account for differences in echo times (TE) and facilitate the use of restriction spectrum imaging restriction score (RSIrs) as a quantitative biomarker for the detection of clinically significant prostate cancer (csPCa).
methodsThis study included 197 consecutive patients who underwent MRI and biopsy examination; 97 were diagnosed with csPCa (grade group ≥ 2). RSI data were acquired three times during the same session: twice at minimum TE ~75 ms and once at TE = 90 ms (TEmin
resultsScaling factors for C
conclusionsThe proposed linear calibration method produces similar quantitative biomarker values for acquisitions with different TE, reducing TE-induced error by 72% and 55% for non-csPCa and csPCa, respectively.
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