Application of Dynamic Enhanced Magnetic Resonance Imaging Texture Analysis Combined with ADCs in Predicting Pelvic Lymph Metastasis of Prostate Cancer

• Ling Yao ^[1] ; Jia Ding ^[2] ; Xueying Li ^[2] ; Jie Yang ^[1] ; Zhentao Chen ^[3] ; Changkai Jia ^[4] ; Qinghong Duan ^[1]
  1. [1] Department of Radiology, The Affiliated Cancer Hospital of Guizhou Medical University, 550001 Guiyang, Guizhou, China
  2. [2] Department of Medical Imaging, Guizhou Medical University, 550025 Guiyang, Guizhou, China
  3. [3] MR Clinical Research Department, Canon Medical Systems (China) Co., Ltd., 100015 Beijing, China
  4. [4] MR Clinical Application Department, Canon Medical System (China) Co., Ltd., 100015 Beijing, China

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• Localización: Archivos españoles de urología, ISSN 0004-0614, Tomo 76, Nº. 6 (August), 2023, págs. 383-388
• Idioma: inglés
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• Resumen

  • Objective: The application value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) texture analysis combined with apparent diffusion coefficient (ADC) in predicting pelvic lymph node metastasis of prostate cancer was explored.

    Methods: The clinical and imaging data of 151 patients with prostate cancer admitted to The Affiliated Tumor Hospital of Guizhou Medical University from November 2019 to November 2021 were retrospectively analysed. According to the final pathological diagnosis results, they were divided into two groups: Metastasis group (n = 63, pelvic lymph node metastasis) and non-metastasis group (n = 88, no pelvic lymph node metastasis). The DCE-MRI texture parameters and ADCs of the two groups were compared using Omni-Kinetics software and MADC software packages. The receiver operating characteristic (ROC) curve was used in evaluating the predictive value of each method and their combination, and Spearman rank correlation analysis was used in evaluating their correlation.

    Results: The volume transfer (Ktrans) and interstitium-to-plasmarate rate constant (Kep) in the metastatic group were significantly higher than those in the non-metastatic group (p < 0.001). However, no significant difference in extravascular extracellular space volume fraction (Ve) was found between the groups (p > 0.05). The ADC of the metastatic group was lower (p < 0.001). The Ktrans and Kep values were positively correlated with pelvic lymph node metastasis of prostate cancer (r = 0.580, 0.684; p < 0.001), and the ADC was negatively correlated with pelvic lymph node metastasis of prostate cancer (r = −0.478; p < 0.001). The ROC curve showed that the area under the curve (AUC) of DCE-MRI texture analysis parameters Ktrans and Kep combined with ADC was large, and the prediction efficiency increased. The AUC, sensitivity and specificity were 0.974, 95.20% and 93.20% (p < 0.001), respectively.

    Conclusions: DCE-MRI texture analysis combined with ADC value can accurately predict pelvic lymphatic metastasis of prostate cancer, which is helpful for the selection and formulation of clinical treatment plans and has certain guiding value for the implementation of pelvic lymph node clearing in patients.