Diagnostic value of 3.0T diffusion-weighted magnetic resonance imaging for detectingmetastatic lymph nodes in pancreatic adenocarcinoma

WANG Yue-ren; GAO Jun; GUO Qi-yong

Journal of China Clinic Medical Imaging ›› 2014, Vol. 25 ›› Issue (6) : 409-412.

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Diagnostic value of 3.0T diffusion-weighted magnetic resonance imaging for detectingmetastatic lymph nodes in pancreatic adenocarcinoma

WANG Yue-ren, GAO Jun, GUO Qi-yong

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Abstract

Objective: To evaluate the diagnostic value of diffusion-weighted MR imaging(DWI) for differentiating metastatic and hyperplastic lymph nodes(LNs) in patients with pancreatic cancer. Methods: Thirty-nine untreated patients with pancreatic cancer underwent MRI and DWI before surgery. Pancreatectomy with regional lymphadenectomy for pancreatic cancer was then performed in all patients. Of the 65 total dissected and histopathologically evaluated abdominal LNs, the mean ADC values of all enlarged LNs and short-axis diameter of LNs were measured and compared respectively between the metastatic and hyperplastic node group. A receiver operating characteristic(ROC) curve was generated to evaluate the capability of short-axis diameter and ADC measurements in distinguishing metastatic LNs from hyperplastic LNs. Results: The median ADC value (1.55±0.21)×10-3 mm2/s of metastatic nodes was significantly lower than that of the benign group (1.84±0.20)×10-3 mm2/s(P<0.05). DWI showed greater diagnostic accuracy in determining metastatic nodes than the short-axis diameter. Adopting a threshold value(1.68×10-3 mm2/s) of DWI resulted in 81.1% sensitivity, 77.8% specificity in the identification of metastasis in this series of LNs. Conclusion: DWI may provide great potential in effective discrimination of metastatic LNs in pancreatic adenocarcinoma.

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Pancreatic neoplasms / Neoplasms metastasis / Magnetic resonance imaging

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WANG Yue-ren;GAO Jun;GUO Qi-yong. Diagnostic value of 3.0T diffusion-weighted magnetic resonance imaging for detectingmetastatic lymph nodes in pancreatic adenocarcinoma[J]. Journal of China Clinic Medical Imaging. 2014, 25(6): 409-412