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In this subsection, we have verified the Pc detection algorithm on diurnal variations of Pc3 occurrence rate.
Widespread use of prostate-specific antigen (PSA) testing for prostate cancer (PC) detection has led to extensive overdiagnosis and overtreatment.
In this paper we give an overview of the mpMRI technique, its performance in PC detection, and in the assessment of tumour aggressiveness and size.
Tonttila et al. [108] however recently performed a randomized prospective blinded controlled trial and concluded that adding mpMRI before biopsy did not improve PC detection rates as compared to TRUS biopsy alone in patients with elevated PSA.
PC detection rates on mpMRI, thus,depend highly on the Gleason grade and size of the tumour, ranging from 21-29 % for <0.5 ml tumours with Gleason 6 to 100%% for tumours >2 ml with Gleason ≥8 [64].
Subgroup analysis revealed especially an improvement in PC detection in men with previous negative biopsy than in biopsy-naïve men (relative sensitivity of 1.54 vs 1.10 for clinically significant PC and 1.62 vs 0.97 for any PC) [107].
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Basically, there are two kinds of PC-based detection methods: label-free detection [6, 7] and fluorescence-enhanced detection [8 10].
With 5 and 15 pcs, the detection accuracy is increased by 6.5 and 2.8%, respectively, for N = 25, whereas it enhances by 2.2 and 1%, respectively, for N = 15 in comparison with non-ranked features.
The results of our evaluation reveal that RC features outperform PC features in detection accuracy and computational efficiency.
K-ras codon 12 mutation is one of the earliest genetic changes in the development of pancreatic cancer (PC) and accurate detection of K-ras mutations is gaining increasing attention in the field of molecular diagnosis.
To determine the usefulness of ultrasound examination in Primary Care (PC) for the detection of abdominal aortic aneurysm (AAA) in male patients from 65-75 years old, as well as the consistency between observers on the diagnosis between general practitioners and the reference specialty in this area, Vascular Surgery.
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Justyna Jupowicz-Kozak
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