4.6 Article

Prediction of rectal lymph node metastasis by pelvic computed tomography measurement

期刊

EJSO
卷 35, 期 2, 页码 168-173

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ejso.2008.02.006

关键词

Rectal cancer staging; Lymph node status; Computed tomography

资金

  1. Italian Ministry of Health
  2. AIRC (Associazione Italiana Ricerca sul Canero-Italian Association of Cancer Research)

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Aim: Rectal cancer staging represents a crucial step to select the best treatment for this tumour. Particularly after neo-adjuvant chemoradiotherapy (CRT), it may influence the surgical procedure (e.g. radical resection vs. local excision). The aim of this study was to determine the best lymph node size cut-off at computed tomography (CT) to predict nodal metastasis in rectal cancer patients with and without preoperative CRT. Methods: A consecutive series of patients operated on for primary mid-low rectal adenocarcinoma, all staged with pelvic CT scan, were sub-divided as follows: those who underwent surgery alone treatment without CRT (Group A) and those who underwent preoperative CRT (Group B). All CT scans were re-viewed by a single radiologist and, based on the lymph node size, findings were compared with pathologic lymph node status (pN). At each lymph node size cut-off value. the following were calculated: accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). The best cut-off value was defined as having an accuracy >= 70% with the highest NPV. Results: The study population consisted of 162 patients: Group A (n = 52) and Group B (n = 110). Patients classified as pN-positive (n = 45) had a higher number of and larger sized lymph nodes by CT scan than patients classified as pN-negative (n = 117). The cutoff values with an accuracy >= 70% ranged between 7 and I I runt in Group A and between 9 and 14 mm in Group B. The cut-off with the best NPV was 7 mm for Group A and 10 mm for Group B. Conclusions: Acknowledging the limitations of the dimensional criterion, lymph node size cut-off values found in our study may be useful for planning rectal cancer treatment using CT scan. (C) 2008 Elsevier Ltd. All rights reserved.

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