Volume 21 Issue 2
Feb.  2023
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ZHAO Meng-qiu, JIN Mao-sheng, LIU Hong-li, LIU Jian. Prediction of lymph node metastasis in early cervical cancer by MRI combined with preoperative serological indices and pathological features[J]. Chinese Journal of General Practice, 2023, 21(2): 199-202. doi: 10.16766/j.cnki.issn.1674-4152.002844
Citation: ZHAO Meng-qiu, JIN Mao-sheng, LIU Hong-li, LIU Jian. Prediction of lymph node metastasis in early cervical cancer by MRI combined with preoperative serological indices and pathological features[J]. Chinese Journal of General Practice, 2023, 21(2): 199-202. doi: 10.16766/j.cnki.issn.1674-4152.002844

Prediction of lymph node metastasis in early cervical cancer by MRI combined with preoperative serological indices and pathological features

doi: 10.16766/j.cnki.issn.1674-4152.002844
Funds:

 KJ2019A0346

  • Received Date: 2022-05-17
    Available Online: 2023-04-20
  •   Objective  This study aims to investigate the predictive value of MRI combined with preoperative serological markers: squamous cell carcinoma antigen (SCC-Ag), neutrophil to lymphocyte ratio (NLR) and biopsy pathology in lymph node metastasis of early cervical cancer.  Methods  A total of 307 patients who underwent primary surgery in the First Affiliated Hospital of Bengbu Medical College from January 2019 to February 2022 were selected and divided into lymph node metastasis group (81 cases) and no lymph node metastasis group (226 cases) according to the presence or absence of lymph node metastasis after surgery. The MRI lymph node short diameter, tumour size, interstitial infiltration depth, parauterine and vaginal involvement, preoperative serological indices and pathological features of the 2 groups were compared. The predictive value of lymph node metastasis and the significance of combined diagnosis were analysed.  Results  Logistic regression analysis showed that large short diameter of MRI lymph nodes, large tumor diameter, depth of interstitial infiltration greater than 1/2 muscular layer, parametrial involvement, increased expression of SCC-Ag and positive vascular were independent risk factors for lymph node metastasis of cervical cancer (P < 0.05). The areas under the ROC curve of MRI lymph node diameter, SCC-Ag and NLR for the diagnosis of cervical cancer LNM were 0.806, 0.711 and 0.630, respectively. The optimal cut-off values were 8.50 mm, 2.55 ng/mL and 1.90, respectively. The sensitivity values were 0.654, 0.593 and 0.593, respectively, and the specificity values were 0.881, 0.757 and 0.642, respectively. The area under the ROC curve of MRI lymph node short diameter combined with SCC-Ag diagnosis was 0.846. The area under ROC curve for the combined diagnosis of MRI lymph node short diameter, SCC-Ag and NLR was 0.863. The area under ROC curve of multiple indicators (SCC-Ag, MRI lymph node short diameter, tumour size, interstitial infiltration depth, parauterine involvement, and vascular positive) for combined diagnosis of cervical cancer LNM was 0.926.  Conclusion  Imaging examination (MRI) combined with serological indicators and clinicopathological features can improve the predictive value of cervical cancer lymph node metastasis.

     

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