Park JY, Kim EN, Kim DY, Suh DS, Kim JH, Kim YM, Kim YT, Nam JH. Role of PET or PET/CT in the post-therapy surveillance of uterine sarcoma.
Gynecol Oncol 2008;
109:255-62. [PMID:
18308380 DOI:
10.1016/j.ygyno.2008.01.030]
[Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2007] [Revised: 01/15/2008] [Accepted: 01/16/2008] [Indexed: 11/17/2022]
Abstract
OBJECTIVE
To evaluate the clinical accuracy and clinical impact of positron emission tomography (PET) or positron emission tomography/computed tomography (PET/CT) in detecting and treating tumor recurrence in patients with treated uterine sarcoma.
METHODS
Results of 36 patients who underwent PET or PET/CT in post-therapy surveillance of uterine sarcoma were retrospectively assessed. Histopathologic confirmation or clinical/radiological outcome at least 6 months after PET or PET/CT was standard of reference.
RESULTS
The 36 patients underwent 48 PET or PET/CT scans as part of post-therapy surveillance. Thirty scans (8 PET and 22 PET/CT) were performed due to suspicion of disease recurrence on CT, whereas 18 scans (4 PET and 14 PET/CT) were performed as part of routine post-therapy surveillance in asymptomatic patients. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of PET or PET/CT were 92.9%, 100%, 94.4%, 100% and 80%, respectively, in patients with suspected recurrence and 87.5%, 95.5%, 93.3%, 87.5% and 95.5%, respectively, in asymptomatic patients. PET or PET/CT influenced the management of 12 patients (33.3%), by initiation of previously unplanned treatment in 8 patients and by avoidance of previously planned treatment in 4 patients.
CONCLUSION
PET or PET/CT was highly effective in discriminating true recurrence in patients with suspected recurrence and was highly sensitive in detecting recurrence in asymptomatic patients. It had impacts on clinical decision making in a high proportion of patients.
Collapse