Objective <p>Using <sup>18</sup>F-FDG PET/CT metabolic parameters to differentiate post-transplant lymphoproliferative disorder (PTLD) and reactive lymphoid hyperplasia (RLH), and PTLD subtypes.</p> Methods <p><sup>18</sup>F-FDG PET/CT and clinical data from 63 PTLD cases and 19 RLH cases were retrospectively collected. According to the 2017 WHO classification, PTLD was categorized into four subtypes: nondestructive (ND-PTLD), polymorphic (P-PTLD), monomorphic (M-PTLD), and classic Hodgkin. Metabolic parameters included maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG) and at different thresholds of SUVmax (2.5 and 41%), as well as gross tumor volume (GTV) was also collected. Nonparametric test and receiver operating characteristic (ROC) curves were used for statistics.</p> Results <p>There were 42 ND-PTLD patients, 7 P-PTLD patients, and 14&#xa0;M-PTLD patients. Ki-67 was significantly correlated with all metabolic parameters (<i>P</i> all &lt; 0.01). SUVmean, SUVmax, MTV, TLG and GTV were all highest in M-PTLD, followed by P-PTLD, ND-PTLD, and RLH. ROC curves showed <sup>18</sup>F-FDG PET/CT metabolic parameters all had moderate diagnostic efficacy in differentiating between PTLD and RLH, the area under the curves (AUC) range from 0.682 to 0.747. Diagnostic efficacy for P-PTLD + M-PTLD showed excellent performance (AUC for RLH + ND-PTLD vs P-PTLD + M-PTLD was 0.848 for SUVmax, 0.846 for SUVmean<sub>41%</sub>, 0.834 for SUVmean<sub>2.5</sub>, and 0.819 for GTV). For MTV<sub>41%</sub>, TLG <sub>41%</sub>, MTV<sub>2.5</sub>, TLG<sub>2.5</sub>, the AUC was 0.676, 0.761, 0.761, 0.787, respectively.</p> Conclusion <p><sup>18</sup>F-FDG PET/CT metabolic parameters at different thresholds of SUVmax (2.5 and 41%) exhibited comparable diagnostic efficacy for PTLD and its subtypes. All metabolic parameters demonstrated moderate diagnostic efficacy in distinguishing PTLD and RLH. SUVmax, SUVmean<sub>41%</sub>, SUVmean<sub>2.5</sub> and GTV showed excellent performance in diagnosing P-PTLD + M-PTLD.</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

Utility of 18F-FDG PET/CT metabolic parameters on post-transplant lymphoproliferative disorder diagnosis

  • Guoying Zhang,
  • Jie shen,
  • Tianpeng Hu,
  • Wei Zheng,
  • Qiang Jia,
  • Jian Tan,
  • Zhaowei Meng

摘要

Objective

Using 18F-FDG PET/CT metabolic parameters to differentiate post-transplant lymphoproliferative disorder (PTLD) and reactive lymphoid hyperplasia (RLH), and PTLD subtypes.

Methods

18F-FDG PET/CT and clinical data from 63 PTLD cases and 19 RLH cases were retrospectively collected. According to the 2017 WHO classification, PTLD was categorized into four subtypes: nondestructive (ND-PTLD), polymorphic (P-PTLD), monomorphic (M-PTLD), and classic Hodgkin. Metabolic parameters included maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG) and at different thresholds of SUVmax (2.5 and 41%), as well as gross tumor volume (GTV) was also collected. Nonparametric test and receiver operating characteristic (ROC) curves were used for statistics.

Results

There were 42 ND-PTLD patients, 7 P-PTLD patients, and 14 M-PTLD patients. Ki-67 was significantly correlated with all metabolic parameters (P all < 0.01). SUVmean, SUVmax, MTV, TLG and GTV were all highest in M-PTLD, followed by P-PTLD, ND-PTLD, and RLH. ROC curves showed 18F-FDG PET/CT metabolic parameters all had moderate diagnostic efficacy in differentiating between PTLD and RLH, the area under the curves (AUC) range from 0.682 to 0.747. Diagnostic efficacy for P-PTLD + M-PTLD showed excellent performance (AUC for RLH + ND-PTLD vs P-PTLD + M-PTLD was 0.848 for SUVmax, 0.846 for SUVmean41%, 0.834 for SUVmean2.5, and 0.819 for GTV). For MTV41%, TLG 41%, MTV2.5, TLG2.5, the AUC was 0.676, 0.761, 0.761, 0.787, respectively.

Conclusion

18F-FDG PET/CT metabolic parameters at different thresholds of SUVmax (2.5 and 41%) exhibited comparable diagnostic efficacy for PTLD and its subtypes. All metabolic parameters demonstrated moderate diagnostic efficacy in distinguishing PTLD and RLH. SUVmax, SUVmean41%, SUVmean2.5 and GTV showed excellent performance in diagnosing P-PTLD + M-PTLD.