Purpose: To assess T2-weighted (T2W) MRI to differentiate transition zone (TZ) prostate cancer (PCa) from benign prostatic hyperplasia (BPH).
Materials And Methods: With IRB approval, 22 consecutive TZ PCa were retrospectively compared with 30 consecutive BPH (15 stromal, 15 glandular) nodules diagnosed using radical prostatectomy MRI maps. Two blinded radiologists (R1/R2) subjectively assessed the shape (round/oval vs. lenticular) and margin (circumscribed vs. blurred/indistinct) and for a T2W hypointense rim. Both radiologists segmented lesions extracting quantitative shape features (circularity, convexity and topology/skeletal branching). Statistical tests were performed using chi-square (subjective features), Mann-Whitney U (quantitative features), Cohen's kappa/Bland-Altman and receiver-operator characteristic analysis.
Results: There were differences in the subjective analysis of the shape, margin and absence of a T2W-rim comparing TZ PCa with BPH (p < 0.0001) with moderate to almost perfect agreement [kappa = 0.56 (shape), 0.72 (margin), 0.97 (T2W-rim)]. Area under the curve (AUC ± standard error) for diagnosis of TZ PCas was shape = 0.88 ± 0.05, margin = 0.89 ± 0.04, and T2W-rim = 0.91 ± 0.04. Shape, judged subjectively, was specific (100%/94% R1/R2) with low-to-moderate sensitivity (55%/88% R1/R2). Circularity and convexity differed between groups (p < 0.001) with no difference in topology/skeletal branches (p = 0.31). Agreement in measurements was substantial for significant quantitative variables and AUC ± SE, sensitivity and specificity for diagnosis of TZ PCa were: circularity = 0.98 ± 0.01, 90%/96%; convexity = 0.85 ± 0.06, 68%/97%. AUCs for circularity were higher than for subjective analysis (p = 0.01 and 0.26).
Conclusion: Subjective analysis of T2W-MRI accurately diagnoses TZ PCa with high accuracy also demonstrated for quantitative shape analysis, which may be useful for future radiogenomic analysis of transition zone tumors.
Key Points: • Presence of a complete T2-weighted hypointense circumscribed rim accurately diagnoses BPH. • Round shape accurately diagnoses BPH and can be assessed quantitatively using circularity. • Lenticular shape accurately diagnoses TZ PCa and can be assessed quantitatively using convexity.
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JMIR Form Res
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Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
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Centro de Patología Herniaria Argentina, Cerviño 4449, 1425, Buenos Aires, Argentina.
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Ir J Med Sci
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Faculty of Medicine, Department of Pediatric Surgery Division of Pediatric Urology, Eskisehir Osmangazi University, Eskişehir, Turkey.
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January 2025
Hebei Provincial Center for Clinical Laboratories, Shijiazhuang, China, the Second Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, People's Republic of China.
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Curr Protoc
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Department of Microbiology, University of Manitoba, Winnipeg, Manitoba, Canada.
Competitive fitness is a fundamental concept in evolutionary biology that captures the ability of organisms to survive, reproduce, and compete for resources in their environment. Competitive fitness is typically assessed in the lab by growing two or more competitors together and measuring the frequency of each at multiple time points. Traditional microbial competitive fitness assays are labor intensive and involve plating on solid medium and counting colonies.
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