Pelvic Lymph Node Status Assessed by 18F-Fluorodeoxyglucose Positron Emission Tomography Predicts Low-Risk Group for Distant Recurrence in Locally Advanced Cervical Cancer: A Prospective Study

Purpose To develop a prediction model to identify a low-risk group for distant recurrence in patients with locally advanced cervical cancer treated by concurrent chemoradiation. Methods and Materials Prospectively, 62 patients with locally advanced cervical cancer were recruited as a training cohort...

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Veröffentlicht in:International journal of radiation oncology, biology, physics biology, physics, 2011-03, Vol.79 (3), p.788-793
Hauptverfasser: Kang, Sokbom, M.D., Ph.D, Park, Jung-Yeol, M.D, Lim, Myung-Chul, M.D, Song, Yong-Joong, M.D, Park, Se-Hyun, M.D, Kim, Seok-Ki, M.D, Chung, Dae-Chul, M.D, Seo, Sang-Soo, M.D., Ph.D, Kim, Joo-Young, M.D., Ph.D, Park, Sang-Yoon, M.D., Ph.D
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Sprache:eng
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Zusammenfassung:Purpose To develop a prediction model to identify a low-risk group for distant recurrence in patients with locally advanced cervical cancer treated by concurrent chemoradiation. Methods and Materials Prospectively, 62 patients with locally advanced cervical cancer were recruited as a training cohort. Clinical variables and parameters obtained from positron emission tomography (PET) and magnetic resonance imaging were analyzed by logistic regression. For the test set, 54 patients were recruited independently. To identify the low-risk group, negative likelihood ratio (LR) less than 0.2 was set to be a cutoff. Results Among the training cohort, multivariate logistic analysis revealed that advanced International Federation of Gynecology and Obstetrics (FIGO) stage and a high serum squamous cancer cell (SCC) antigen level were significant risk factors ( p = 0.015 and 0.025, respectively). Using the two parameters, criteria to determine a low-risk subset for distant recurrence were postulated: (1) FIGO Stage IIB or less and (2) pretreatment SCC < 2.4 (Model A). Positive pelvic node on PET completely predicted all cases with distant recurrence and thus was considered as another prediction model (Model B). In the test cohort, although Model A did not showed diagnostic performance, Model B completely predicted all cases with distant recurrence and showed a sensitivity of 100% with negative LR of 0. Across the training and test cohort ( n = 116), the false negative rate was 0 (95% confidence interval 0%–7.6%). Conclusions Positive pelvic node on PET is a useful marker in prediction of distant recurrence in patients with locally advanced cervical cancer who are treated with concurrent chemoradiation.
ISSN:0360-3016
1879-355X
DOI:10.1016/j.ijrobp.2009.11.031