Objective <p>To investigate the value of <sup>18</sup>F-FDG PET/CT in assessing the local aggressiveness of desmoid-type fibromatosis (DF) and in predicting prognosis of DF.</p> Methods <p>We retrospectively analyzed <sup>18</sup>F-FDG PET/CT of DF lesions in participants. Clinical data and <sup>18</sup>F-FDG PET/CT imaging features were collected and analyzed. The diagnostic performance of <sup>18</sup>F-FDG PET/CT versus contrast-enhanced MRI (CE-MRI) for assessing peritumoral invasion was compared using reference of pathology. Lesions were followed up to record progressive disease (PD) and postoperative recurrence (POR), and event-free survival (EFS) was determined. Univariate and multivariate Cox regression analyses were performed to identify independent predictors of PD or POR.</p> Results <p>Fifty-five lesions from 44 participants were included. ¹⁸F-FDG PET/CT showed higher accuracy and sensitivity than CE-MRI for assessing peritumoral invasion, with no statistically significant differences in paired comparisons. Notably, pathology in one case demonstrated tumor invasion of the lymph node capsules. Furthermore, DF lesions with PD or POR had significantly higher maximum standardized uptake value (SUV<sub>max</sub>) and target-to-background ratio (TBR). SUV<sub>max</sub>, TBR and irregular lesion morphology were identified as independent predictors of PD or POR. The AUC for SUV<sub>max</sub> was 0.79 (95% CI: 0.64–0.95), with sensitivity, specificity, and overall accuracy of 78.6% (11/14), 82.9% (34/41), and 81.8% (45/55), respectively. Kaplan-Meier survival analysis revealed that SUV<sub>max</sub>&gt; 5.0 was associated with significantly shorter EFS (692.4 [427.5-957.3] days vs. 2419.9 [1989.5-2850.3] days).</p> Conclusion <p><sup>18</sup>F-FDG PET/CT showed numerically higher sensitivity and accuracy than CE-MRI for assessing peritumoral invasion of DF lesions, though with lower specificity. SUV<sub>max</sub>, TBR, and lesion morphology were independent predictors of PD or POR.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Local aggressiveness and prognostic prediction in desmoid-type fibromatosis: insights from 18F-FDG PET/CT

  • Yan Cui,
  • Min Wang,
  • Yitong Liu,
  • Yang Liu,
  • Yufei Song,
  • Shizhen Zhai,
  • Nan Li

摘要

Objective

To investigate the value of 18F-FDG PET/CT in assessing the local aggressiveness of desmoid-type fibromatosis (DF) and in predicting prognosis of DF.

Methods

We retrospectively analyzed 18F-FDG PET/CT of DF lesions in participants. Clinical data and 18F-FDG PET/CT imaging features were collected and analyzed. The diagnostic performance of 18F-FDG PET/CT versus contrast-enhanced MRI (CE-MRI) for assessing peritumoral invasion was compared using reference of pathology. Lesions were followed up to record progressive disease (PD) and postoperative recurrence (POR), and event-free survival (EFS) was determined. Univariate and multivariate Cox regression analyses were performed to identify independent predictors of PD or POR.

Results

Fifty-five lesions from 44 participants were included. ¹⁸F-FDG PET/CT showed higher accuracy and sensitivity than CE-MRI for assessing peritumoral invasion, with no statistically significant differences in paired comparisons. Notably, pathology in one case demonstrated tumor invasion of the lymph node capsules. Furthermore, DF lesions with PD or POR had significantly higher maximum standardized uptake value (SUVmax) and target-to-background ratio (TBR). SUVmax, TBR and irregular lesion morphology were identified as independent predictors of PD or POR. The AUC for SUVmax was 0.79 (95% CI: 0.64–0.95), with sensitivity, specificity, and overall accuracy of 78.6% (11/14), 82.9% (34/41), and 81.8% (45/55), respectively. Kaplan-Meier survival analysis revealed that SUVmax> 5.0 was associated with significantly shorter EFS (692.4 [427.5-957.3] days vs. 2419.9 [1989.5-2850.3] days).

Conclusion

18F-FDG PET/CT showed numerically higher sensitivity and accuracy than CE-MRI for assessing peritumoral invasion of DF lesions, though with lower specificity. SUVmax, TBR, and lesion morphology were independent predictors of PD or POR.