Detection and evaluation of pelvic lymph nodes in patients with gynecologic malignancies using body diffusion-weighted magnetic resonance imaging

J Comput Assist Tomogr. 2008 Sep-Oct;32(5):764-8. doi: 10.1097/RCT.0b013e318153fd43.

Abstract

Background: In this study, the potential in detecting and evaluating pelvic lymph node metastases on body diffusion-weighted (DW) images was evaluated in patients with gynecologic malignancies.

Methods: This study included 18 patients with gynecologic malignancy who underwent magnetic resonance imaging in the pelvis using a 1.5-T superconductive magnet. The identification of pelvic nodes on only T2-weighted (T2W) axial images and on DW axial images in addition to T2W axial images was examined and compared. Moreover, we measured and calculated a short-axis diameter, a long-axis diameter, and a ratio of short- and long-axis diameter of nodes on the T2W images and the apparent diffusion coefficient (ADC) values of the nodes on the DW images. These results were compared with histopathologic results.

Results: First, 136 (40%) of 340 dissected nodes were identified on T2W images, and 249 (73%) of 340 dissected nodes were identified on DW images in addition to T2W images. Second, the differences in the short-axis diameter, the long-axis diameter, and the ratio of short- and long-axis diameter on T2W images between metastatic and nonmetastatic nodes were not significant. The differences in the ADC values between metastatic and nonmetastatic nodes were not significant.

Conclusions: Body DW images are useful in detection of pelvic lymph nodes in patients with gynecologic malignancy. However, the measurement of ADC values does not contribute to a diagnosis of metastatic nodes.

MeSH terms

  • Adult
  • Aged
  • Diffusion Magnetic Resonance Imaging
  • Endometrial Neoplasms / pathology
  • Female
  • Genital Neoplasms, Female / pathology*
  • Humans
  • Lymph Nodes / pathology
  • Lymphatic Metastasis / diagnosis*
  • Middle Aged
  • Pelvis
  • Uterine Cervical Neoplasms / pathology
  • Uterine Neoplasms / pathology