Abstract
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 R1/R2 and 1 experienced R3) 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). R1 and R2 detected 75% (3/4) patients with abnormal lymph nodes, compared to R3 who detected all four cases. False positive interpretations occurred in: 5.2% (1/19) R1, 10.5% (2/19) R2 and no patients for R3. Sensitivity, specificity and area under the ROC curve (AUC) were: R1: 75% (95% CI 19.4–99.4%), 94.7% (74.0–99.9%) and 0.85 (0.59–1.00), R2: 75% (19.4–99.4%), 89.5% (66.9–98.7%) and 0.82 (0.57–1.00) and, R3: 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: R1 5 (5–5), R2 4 (3–5) and, R3 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.
| Original language | English |
|---|---|
| Pages (from-to) | 1157-1162 |
| Number of pages | 6 |
| Journal | Abdominal Radiology |
| Volume | 46 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2021 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Lymph nodes
- MRI
- Seminoma
- Surveillance
- Testicular cancer
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