Unenhanced MRI of the abdomen and pelvis for surveillance of patients with stage 1 testicular cancer post-radical orchiectomy

ABDOMINAL RADIOLOGY(2020)

引用 3|浏览2
暂无评分
摘要
Objective To evaluate the ability of unenhanced magnetic resonance imaging (MRI) to detect metastatic lymphadenopathy in men with stage 1 testicular cancer on surveillance. Materials and methods With IRB approval, we identified 23 consecutive men with stage 1 testicular cancer (diagnosed after orchiectomy) undergoing surveillance with unenhanced MRI of the abdomen and pelvis. Three blinded radiologists (2 inexperienced R 1/ R 2 and 1 experienced R 3) independently assessed MRI for: presence, location and size of abnormal lymph nodes and degree of confidence (5-point Likert scale) in diagnosis. Diagnostic accuracy was tabulated and compared between groups using ROC. Inter-observer agreement was assessed using Cohen’s kappa statistic. Results 17.4% (4/23) men developed 6 metastatic lymph nodes (reference standard: interval development from baseline, size > 1.0 cm short axis). R 1 and R 2 detected 75% (3/4) patients with abnormal lymph nodes, compared to R 3 who detected all four cases. False positive interpretations occurred in: 5.2% (1/19) R 1, 10.5% (2/19) R 2 and no patients for R 3. Sensitivity, specificity and area under the ROC curve (AUC) were: R 1: 75% (95% CI 19.4–99.4%), 94.7% (74.0–99.9%) and 0.85 (0.59–1.00), R 2: 75% (19.4–99.4%), 89.5% (66.9–98.7%) and 0.82 (0.57–1.00) and, R 3: 100% (95% 39.8–100.0%), 100% (82.4–100%) and 1.00 (1.00–1.00) with no difference in AUC between readers ( p = 0.383). Comparison in accuracy between readers is limited due to the small sample size. Inter-observer agreement was substantial ( K = 0.62). Median (range) degree of confidence scores were rated: R 1 5 (5–5), R 2 4 (3–5) and, R 3 5 (5–5). Conclusion In this study, unenhanced MRI was adequate for surveillance of stage 1 testicular cancer; however, radiologist inexperience may lead to errors.
更多
查看译文
关键词
Testicular cancer, Seminoma, Surveillance, Lymph nodes, MRI
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要