Advanced Diagnostic & Interventional Radiology Research Center | Prediction of lymphovascular space invasion in cervical carcinoma using diffusion kurtosis imaging

Advanced Diagnostic & Interventional Radiology Research Center | Prediction of lymphovascular space invasion in cervical carcinoma using diffusion kurtosis imaging
| Dec 9 2025
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Advanced Diagnostic & Interventional Radiology Research Center

  • Release Date : Jul 24 2024 - 08:30
  • : 187
  • Study time : 1 minute(s)

Prediction of lymphovascular space invasion in cervical carcinoma using diffusion kurtosis imaging

 lymphovascular space invasion in cervical carcinoma using diffusion kurtosis  {faces}

Background: This study aimed to investigate the potential relationship between diffusion kurtosis imaging (DKI)- derived parameters and lymphovascular space invasion (LVSI) in patients with cervical carcinoma.

Patients and methods: This prospective study included 30 patients with cervical carcinoma. The patients underwent MRI, diffusion-weighted imaging (DWI), and DKI prior to surgery. The surgical pathology results were accepted as the reference standard for determining the LVSI status. The DKI-derived parameters, including mean diffusivity (MD) and mean kurtosis (MK), were measured. The apparent diffusion coefficient (ADC) value was also assessed.

Results: The MD value of LVSI positive cervical carcinomas was significantly lower than LVSI negative carcinomas (p-value = 0.01). MK value was significantly higher in LVSI positive tumors (p-value = 0.01). However, the ADC value did not show a significant difference between LVSI positive and LVSI negative tumors (p-value = 0.2). MD and MK parameters showed similar diagnostic accuracy in identifying the LVSI status, with the area under the curve of 0.77 and 0.78, respectively.

Conclusion: In this study, DKI-derived parameters were associated with the LVSI status in cervical carcinomas. Further studies with larger sample size are required to confirm these results.

Keywords: Cervical carcinoma; Diffusion kurtosis imaging; Diffusion-weighted imaging; Lymphovascular space invasion.

  • Article_DOI : https://doi.org/10.1016/j.ejmp.2023.102560
  • Author(s) : nasim sirjani ,mostafa ghelich oghli,mohammad kazem tarzamni
  • News Group : research,articles,research article,AI,AI articles
  • News Code : 277929
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