Diagnostic value of MRI texture analysis combined with Cripto-1 and SOX2 protein expression in cervical lymph node metastasis of papillary thyroid carcinoma(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第2期
- Page:
- 224-228
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Diagnostic value of MRI texture analysis combined with Cripto-1 and SOX2 protein expression in cervical lymph node metastasis of papillary thyroid carcinoma
- Author(s):
- YAO Xihu1; ZHOU Qingyun2; ZHANG Zhicheng3; ZHOU Jianying4
- 1. Department of Pathology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, China 2. Department of Radiology, Peoples Hospital Affiliated to Quanzhou Medical College, Quanzhou 362000, China 3. Department of Radiology, the Ninth Peoples Hospital of Chongqing, Chongqing 400700, China 4. Department of Pain, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, China
- Keywords:
- Keywords: papillary thyroid carcinoma cervical lymph node metastasis magnetic resonance imaging T2WI texture Cripto-1 protein SOX2 protein
- PACS:
- R445.2
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.02.016
- Abstract:
- Abstract: Objective To analyze the value of magnetic resonance imaging (MRI) T2-weighted imaging (T2WI) texture analysis combined with Cripto-1 and SOX2 protein expression in diagnosing cervical lymph node metastasis (LNM) of papillary thyroid carcinoma (PTC). Methods A total of 82 patients with PTC were enrolled, and the radical operation specimens of the patients were collected for the subsequent immunohistochemical analysis. According to the results of pathological diagnosis, the patients were divided into observation group (LNM positive, n=42) and control group (LNM negative, n=40). The clinical value of MRI texture analysis combined with Cripto-1 and SOX2 protein expression in the diagnosis of PTC with LNM were assessed by analyzing their sensitivity, specificity and coincidence rate. Results The positive expression of Cripto-1 protein in PTC with LNM was significantly stronger than that in PTC without LNM (P<0.05). The positive expression of Cripto-1 protein immunohistochemical staining was mostly found in the surrounding tissues of the tumor, characterized by brown-yellow particles, mainly located on the cell membrane, and the staining intensity of Cripto-1 protein in PTC with LNM was significantly stronger than that in PTC without LNM. The positive expression of SOX2 protein in PTC with LNM was significantly stronger than that in PTC without LNM (P<0.05). The positive expression of SOX2 protein immunohistochemical staining was mostly found in the surrounding tissues of the tumor, characterized by brown-yellow particles, mainly located on the nucleus, and the staining intensity of SOX2 protein in PTC with LNM was significantly stronger than that in PTC without LNM. The results of T2WI image texture analysis revealed that there were significant differences between two groups in entropy, angular second moment and correlation (P<0.05), but not in inverse difference moment, skewness, contrast, kurtosis and mean values (P>0.05). The predicted AUC of entropy, angular second moment and correlation in PTC with LNM were 0.884, 0.783, 0.718, respectively and the sensitivities were 97.13%, 79.42%, 44.14% and the specificities were 70.00%, 60.00%, 90.00%. The diagnostic value of MRI texture analysis in PTC with LNM was slightly higher than that of Cripto-1 and SOX2 protein expression, but the difference was not statistically significant (P>0.05), while the sensitivity, specificity and coincidence rate of MRI texture analysis combined with Cripto-1 and SOX2 protein expression in the diagnosis of PTC with LNM were higher than those of MRI texture analysis or Cripto-1 and SOX2 protein expression alone (P<0.05). Conclusion The MRI texture analysis combined with Cripto-1 and SOX2 protein expression is superior to MRI texture analysis or Cripto-1 and SOX2 protein expression alone in sensitivity, specificity and coincidence rate. In addition, it is expected to provide a more reliable and accurate basis for the prognosis of PTC patients and their treatment decisions.
Last Update: 2022-03-07