Predicting the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine leiomyomas based on DTI indicators and imaging features.

Purpose: To predict the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine leiomyomas based on diffusion tensor imaging (DTI) indicators and imaging features. Methods: Sixty-two patients with 85 uterine leiomyomas were consecutively enrolled in this retrospective study and und...

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Publicado en:Abdominal Radiology Vol. 49; no. 6; pp. 2017 - 2027
Autores principales: Qin, Shi-ze, Jiang, Yu, Wang, Yan-lin, Liu, Nian, Lin, Zhen-yang, Jia, Qing, Fang, Jie, Huang, Xiao-hua
Formato: Journal Article
Publicado: Springer Nature Jun2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2024
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00261-023-03865-6
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        atl: Predicting the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine leiomyomas based on DTI indicators and imaging features.
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          Qin, Shi-ze
          Jiang, Yu
          Wang, Yan-lin
          Liu, Nian
          Lin, Zhen-yang
          Jia, Qing
          Fang, Jie
          Huang, Xiao-hua
        affil: https://ror.org/01673gn35 Department of Radiology, Affiliated Hospital of North Sichuan Medical College, No. 1, Maoyuan South Road, Shunqing District, 637000, Nanchong, China
      sug:
      ab: Purpose: To predict the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine leiomyomas based on diffusion tensor imaging (DTI) indicators and imaging features. Methods: Sixty-two patients with 85 uterine leiomyomas were consecutively enrolled in this retrospective study and underwent DTI scanning before HIFU treatment. Based on whether the non-perfused volume ratio (NPVR) was greater than 70%, all patients were assigned to sufficient ablation (NPVR ≥ 70%) or insufficient ablation (NPVR < 70%) groups. The selected DTI indicators and imaging features were incorporated to construct a combined model. The predictive performance of DTI indicators and the combined model were assessed using receiver operating characteristic (ROC) curves. Results: There were 42 leiomyomas in the sufficient ablation group (NPVR ≥ 70%) and 43 leiomyomas in the insufficient ablation group (NPVR < 70%). The fractional anisotropy (FA) and relative anisotropy (RA) values were higher in the sufficient ablation group than in the insufficient ablation group (p < 0.05). Conversely, the volume ratio (VR) and mean diffusivity (MD) values were lower in the sufficient ablation group than those in the insufficient ablation group (p < 0.05). Notably, the combined model composed of the RA and enhancement degree values had high predictive efficiency, with an AUC of 0.915. The combined model demonstrated higher predictive performance than FA and MD alone (p = 0.032 and p < 0.001, respectively) but showed no significant improvement compared with RA and VR (p > 0.05). Conclusion: DTI indicators, especially the combined model incorporating DTI indicators and imaging features, can be a promising imaging tool to assist clinicians in predicting HIFU efficacy for uterine leiomyomas.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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