Purpose: PI-RADS™, version 2 stipulates that dynamic contrast enhanced imaging should be used to classify diffusion-weighted imaging score 3 peripheral zone lesions as PI-RADS score 3 (dynamic contrast enhanced imaging negative or nonenhancing) or 4 (dynamic contrast enhanced imaging positive or enhancing). However, to our knowledge it is unknown whether dynamic contrast enhanced imaging separates lesions into clinically meaningful pathological groups. We examined whether dynamic contrast enhanced imaging would improve the detection of clinically significant cancer.
Materials And Methods: We identified patients without a prior diagnosis of prostate cancer who underwent multiparametric magnetic resonance imaging-transrectal ultrasound fusion targeted biopsy of peripheral zone lesions with a diffusion-weighted imaging score of 3 or 4. Each lesion was grouped into 1 of 3 classifications, including group 1-diffusion-weighted imaging score 3/nonenhancing/PI-RADS score 3, group 2-diffusion-weighted imaging score 3/enhancing/PI-RADS score 4 or group 3-diffusion-weighted imaging score 4/PI-RADS score 4. We measured the rate of grade group 2 or greater pathology detected for each lesion group with subgroup analyses in patients with vs without prior negative systematic biopsy.
Results: We identified a total of 389 peripheral zone diffusion-weighted imaging score 3 or 4 lesions in 290 patients. The rate of grade group 2 or greater cancer on biopsy for group 1, 2 and 3 lesions was 8.9%, 21% and 36.5%, respectively (p <0.03). The rate of grade group 2 or greater pathology was higher in group 2 than group 1 lesions in patients with prior negative systematic prostate biopsy (28% vs 5.0%, p <0.001) but not in those without such a biopsy (16% vs 12%, p = 0.5). Group 3 lesions had a higher rate of grade group 2 or greater cancer than group 2 lesions in the biopsy naïve subgroup (46% vs 16%, p = 0.001). However, the rates were similar in patients with prior negative systematic prostate biopsy (27% vs 28%, p = 0.9).
Conclusions: Diffusion-weighted imaging score 3 peripheral zone lesions were more likely to be clinically significant cancer (grade group 2 or greater) if they were dynamic contrast enhanced T1-weighted imaging positive. That was most apparent in patients with a prior negative systematic prostate biopsy. In such patients including a dynamic contrast enhanced sequence in multiparametric magnetic resonance imaging allowed for optimal lesion risk stratification.
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http://dx.doi.org/10.1016/j.juro.2017.07.011 | DOI Listing |
Pharmacoeconomics
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Belgian Health Care Knowledge Centre, Brussels, Belgium.
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Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China.
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J Comput Chem
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Nantes Université, CNRS, CEISAM UMR 6230, Nantes, France.
Carbonyl complexes of metals with an α-diimine ligand exhibit both emission and ligand-selective photodissociation from MLCT states. Studying this photodissociative mechanism is challenging for experimental approaches due to an ultrafast femtosecond timescale and spectral overlap of multiple photoproducts. The photochemistry of a prototypical system is investigated with non-adiabatic dynamic simulations.
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Beijing Institute of Space Mechanics and Electricity, Beijing 100081, China.
Displacement measurement is a crucial application, with laser-based methods offering high precision and being well established in commercial settings. However, these methods often come with the drawbacks of significant size and exorbitant costs. We introduce a novel displacement measurement method that utilizes the missing-order Talbot effect.
View Article and Find Full Text PDFSensors (Basel)
January 2025
National Key Laboratory of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430000, China.
Despite rapid progress in UAV-based infrared vehicle detection, achieving reliable target recognition remains challenging due to dynamic viewpoint variations and platform instability. The inherent limitations of infrared imaging, particularly low contrast ratios and thermal crossover effects, significantly compromise detection accuracy. Moreover, the computational constraints of edge computing platforms pose a fundamental challenge in balancing real-time processing requirements with detection performance.
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