Abstract
Objectives: This study aimed to determine the optimal cutoff values for predicting mesorectal lymph node metastasis in rectal cancer using preoperative magnetic resonance imaging (MRI) parameters. Methods: We retrospectively analyzed 67 patients with rectal cancer who underwent resection and preoperative pelvic MRI at our institution between April 2015 and December 2023. The MRI-based long-and short-axis diameters of mesorectal lymph nodes were compared with pathological findings to assess their correlation with lymph node metastasis. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values for metastasis prediction. Results: The median age was 70.5 years, and 48 were male. Among the 67 patients, 30 had mesorectal lymph node metastasis. At our institution, lymph nodes with a long-axis diameter of ≥8 mm on MRI were considered positive for metastasis. Using this threshold, the sensitivity and specificity for predicting mesorectal lymph node metastasis were 0.63 and 0.54, respectively. ROC curve analysis identified cutoff values of 6.9 mm for the long-axis diameter, 4.8 mm for the short-axis diameter, and 0.83 for the short-to-long axis ratio. The areas under the ROC curve for the long-axis, short-axis, and short-to-long axis ratio were 0.81, 0.86, and 0.60, respectively. Conclusions: A preoperative long-axis diameter of ≥7 mm and a short-axis diameter of ≥5 mm were found to be reliable predictors of mesorectal lymph node metastasis in rectal cancer. Using a 5-mm short-axis cutoff improved diagnostic specificity. These findings require further validation in clinical settings to optimize treatment strategies.
| Original language | English |
|---|---|
| Pages (from-to) | 285-291 |
| Number of pages | 7 |
| Journal | Journal of the Anus, Rectum and Colon |
| Volume | 9 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2025 |
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 node metastasis
- magnetic resonance imaging
- preoperative diagnosis
- rectal cancer
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