Rheumatology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia.
Rheumatology Unit, University of Modena and Reggio Emilia, Modena.
Rheumatology (Oxford). 2022 Nov 28;61(12):4809-4816. doi: 10.1093/rheumatology/keac125.
To evaluate the accuracy of PET/CT and of PET vascular activity score (PETVAS) in assessing disease activity and the ability of PETVAS in predicting relapses in a large single-centre cohort of patients with large vessel vasculitis (LVV).
We conducted a retrospective cohort study of prospectively collected data of consecutive patients diagnosed with LVV who underwent at least one PET/CT scan between 2007 and 2020. The nuclear medicine physician's interpretation of each PET/CT scan (active/inactive vasculitis) was compared with disease activity clinical judgement (active disease/remission). For each PET/CT scan, the PETVAS score was calculated and its accuracy in assessing disease activity was evaluated. The ability of PETVAS in predicting subsequent relapses was evaluated.
A total of 100 consecutive LVV patients (51 large vessel GCA, 49 Takayasu arteritis) underwent a total of 476 PET/CT scans over a mean follow-up period of 97.5 months. Physician-determined PET/CT grading was able to distinguish between clinically active and inactive LVV with a sensitivity of 60% (95% CI 50.9, 68.7) and specificity of 80.1% (95% CI 75.5, 84.1); the area under the curve (AUC )was 0.70 (95% CI 0.65, 0.75). PETVAS was associated with disease activity, with an age and sex-adjusted odds ratio for active disease of 1.15 (95% CI 1.11, 1.19). A PETVAS ≥10 provided 60.8% sensitivity and 80.6% specificity in differentiating between clinically active and inactive LVV; the AUC was 0.73 (95% CI 0.68, 0.79). PETVAS was not associated with subsequent relapses, with an age and sex-adjusted hazard ratio of 1.04 (95% CI 0.97, 1.11).
The visual PET/CT grading scale and PETVAS had moderate accuracy to distinguish active LVV from remission. PETVAS did not predict disease relapses.
评估 PET/CT 及 PET 血管活性评分(PETVAS)在评估大血管血管炎(LVV)患者疾病活动度方面的准确性,并评估 PETVAS 预测复发的能力。
我们对 2007 年至 2020 年间连续接受至少一次 PET/CT 扫描的 LVV 患者进行了前瞻性收集数据的回顾性队列研究。核医学医师对每一次 PET/CT 扫描的解读(活动/非活动血管炎)与疾病活动的临床判断(活动期疾病/缓解期)进行了比较。为每一次 PET/CT 扫描计算了 PETVAS 评分,并评估了其评估疾病活动的准确性。还评估了 PETVAS 预测随后复发的能力。
共纳入 100 例连续的 LVV 患者(51 例大血管 GCA,49 例 Takayasu 动脉炎),在平均 97.5 个月的随访期间共进行了 476 次 PET/CT 扫描。医师确定的 PET/CT 分级能够区分临床上活动期和非活动期的 LVV,其敏感性为 60%(95%CI 50.9,68.7),特异性为 80.1%(95%CI 75.5,84.1);曲线下面积(AUC)为 0.70(95%CI 0.65,0.75)。PETVAS 与疾病活动相关,活动期疾病的年龄和性别校正比值比为 1.15(95%CI 1.11,1.19)。PETVAS≥10 可区分临床上活动期和非活动期的 LVV,其敏感性为 60.8%,特异性为 80.6%;AUC 为 0.73(95%CI 0.68,0.79)。PETVAS 与随后的复发无关,年龄和性别校正的风险比为 1.04(95%CI 0.97,1.11)。
视觉 PET/CT 分级标准和 PETVAS 具有中等准确性,可区分活动期 LVV 与缓解期。PETVAS 不能预测疾病复发。