A C Y Chen1, W H Sung, P H Wang, M H Sheu, J L Doong, C C Yuan. 1. Department of Obstetrics and Gynecology, Taipei Veterans General Hospital and National Yang-Ming University School of Medicine, Taiwan, ROC.
Abstract
OBJECTIVE: Estimation of tumor size by a single diameter is used in the current Federal International Gynecology Oncology (FIGO) cervical cancer staging system. However, the role of three-dimensional volumetry is rarely mentioned. In this study, three kinds of tumor volume estimations were performed and the relationship of these volume estimations among associated cervical cancer prognostic parameters were evaluated. METHODS: Thirty patients with newly diagnosed cervical cancer at Taipei Veterans General Hospital were enrolled in the study. Final pathology and associated parametric information was obtained by chart review. The original magnetic resonance (MR) image was reappraised by an experienced radiologist and the tumor volume was estimated using either three axial measurements or the longest axial measurement. The corresponding three-dimensional (3-D) volume was calculated by the integration of lesion areas in different images using volumetric software developed by engineers at National Central University, Taiwan. All data were analyzed separately for correlation with clinical staging, histological differentiation, pelvic lymph node metastasis and survival status. RESULTS: A statistically significant difference in tumor volume estimates was found between 3-D-integration and one-dimensional estimates among tumors with lymph nodes metastasis, cell differentiation and parametrial involvement. CONCLUSION: This study found that the parameters of lymph node metastasis, parametrial involvement and tumor differentiation are volume-dependent. 3D-tumor volumetry showed superior discrimination of these parameters compared to current single diameter evaluation suggesting its potential as a rapid method for initial prediction of prognostic factors in cervical cancer.
OBJECTIVE: Estimation of tumor size by a single diameter is used in the current Federal International Gynecology Oncology (FIGO) cervical cancer staging system. However, the role of three-dimensional volumetry is rarely mentioned. In this study, three kinds of tumor volume estimations were performed and the relationship of these volume estimations among associated cervical cancer prognostic parameters were evaluated. METHODS: Thirty patients with newly diagnosed cervical cancer at Taipei Veterans General Hospital were enrolled in the study. Final pathology and associated parametric information was obtained by chart review. The original magnetic resonance (MR) image was reappraised by an experienced radiologist and the tumor volume was estimated using either three axial measurements or the longest axial measurement. The corresponding three-dimensional (3-D) volume was calculated by the integration of lesion areas in different images using volumetric software developed by engineers at National Central University, Taiwan. All data were analyzed separately for correlation with clinical staging, histological differentiation, pelvic lymph node metastasis and survival status. RESULTS: A statistically significant difference in tumor volume estimates was found between 3-D-integration and one-dimensional estimates among tumors with lymph nodes metastasis, cell differentiation and parametrial involvement. CONCLUSION: This study found that the parameters of lymph node metastasis, parametrial involvement and tumor differentiation are volume-dependent. 3D-tumor volumetry showed superior discrimination of these parameters compared to current single diameter evaluation suggesting its potential as a rapid method for initial prediction of prognostic factors in cervical cancer.
Authors: Stephanie Nougaret; Caroline Reinhold; Shaza S Alsharif; Helen Addley; Jocelyne Arceneau; Nicolas Molinari; Boris Guiu; Evis Sala Journal: Radiology Date: 2015-04-30 Impact factor: 11.105
Authors: John J Bissler; Francis X McCormack; Lisa R Young; Jean M Elwing; Gail Chuck; Jennifer M Leonard; Vincent J Schmithorst; Tal Laor; Alan S Brody; Judy Bean; Shelia Salisbury; David N Franz Journal: N Engl J Med Date: 2008-01-10 Impact factor: 91.245