Details

Autor(en) / Beteiligte

• Klerkx, W.M
• Veldhuis, W.B
• Spijkerboer, A.M
• van den Bosch, M.A
• Mali, W.P
• Heintz, A.P
• Bipat, S
• Sie-Go, D.M
• van der Velden, J
• Schreuder, H.W
• Stoker, J
• Peeters, P.H

Titel

The value of 3.0 Tesla diffusion-weighted MRI for pelvic nodal staging in patients with early stage cervical cancer

Ist Teil von

• European journal of cancer (1990), 2012-12, Vol.48 (18), p.3414-3421

Ort / Verlag

Kidlington: Elsevier

Erscheinungsjahr

2012

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• Abstract Objective The purpose of this study is to investigate the diagnostic accuracy of 3.0 Tesla (3T) diffusion-weighted magnetic resonance imaging (MRI) in addition to conventional MRI for the detection of lymphadenopathy in patients with early stage cervical cancer compared to histopathological evaluation of the systematically removed pelvic lymph nodes as reference standard. Methods 68 fédération internationale de gynécologie obstétrique (FIGO) stage Ia2 to IIb cervical cancer patients were included. Sensitivity and specificity rates for two experienced observers were computed for the detection of lymphatic metastasis. Reproducibility of conventional MRI was tested by kappa statistics. The variables included in the analysis were: size of the long axis, short axis, ratio short to long axis and apparent diffusion coefficient (ADC). Results Nine patients had 15 positive pelvic nodes at histopathological examination. The sensitivity and specificity of lymphatic metastasis detection by predefined conventional MRI characteristics was 33% (95% Confidence Interval (CI) 3–64) and 83% (95% CI 74–93) on patient level, and 33% (95% CI 7–60) and 97% (95% CI 95–99) on regional level respectively for observer 1. For observer 2 the sensitivity was 33% (95% CI 3–64) and the specificity 93% (95% CI 87–100) on patient level, and 25% (95% CI 1–50) and 98% (95% CI 97–100) on regional level, respectively. The kappa-value for reproducibility of metastasis detection on regional level was 0.50. The short axis diameter showed the highest diagnostic accuracy (area under the curve (AUC) = 0.81 95% CI 0.70–0.91); ADC did not improve diagnostic accuracy (AUC = 0.83 95% CI 0.73–0.93). Conclusions Diffusion-weighted MRI did not result in additional diagnostic value compared to conventional MRI.