Accuracy of three-dimensional ultrasonography in volume estimation of cervical carcinoma.
OBJECTIVE
To evaluate the accuracy of a three-dimensional (3D) ultrasound system in volume estimation of cervical carcinoma.


METHODS
Transvaginal 3D and two-dimensional (2D) scans on cervical carcinoma volumes were performed 1 day before surgery. The volume of cervical carcinoma measured from each surgical specimen was compared with the corresponding volume of the cervical tumor measured by a 3D ultrasound and with the conventional 2D ultrasound volume measurement calculated using the formula pi/6 x(R1 x R2 x R3), where R1, R2, and R3 were the maximal transverse, anteroposterior, and longitudinal length of tumor, respectively. Limits of agreement and 95% confidence intervals were calculated and systemic bias between the methods was analyzed. The Klotz test was also used to assess the statistical significance of the degree of dispersion.


RESULTS
A total of 61 cases, 55 with exophytic tumors and 6 with endocervical tumors, were examined in this study. The limits of agreement between the volume measured from specimen and tumor volume determined by ultrasound were +6.68 to -6.10 mL for 3D measurements and +12.46 to -10.98 mL for 2D measurements. The Klotz test showed the discrepancy in the degree of dispersion between 3D and 2D ultrasound measurements was statistically significant (P = 0.01).


CONCLUSIONS
The true volume of cervical carcinoma is measured more accurately by a 3D ultrasound system than 2D ultrasound.
Chou
C Y
CY
Department of Obstetrics and Gynecology, National Cheng Kung University Medical College, Tainan, Taiwan. chougyn@mail.ncku.edu.tw
Hsu
K F
KF
Wang
S T
ST
Huang
S C
SC
Tzeng
C C
CC
Huang
K E
KE
D000328:Adult; D000368:Aged; D005069:Evaluation Studies as Topic; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008875:Middle Aged; D009367:Neoplasm Staging; D011237:Predictive Value of Tests; D014463:Ultrasonography / Q000379:methods; D002583:Uterine Cervical Neoplasms / Q000000981:diagnostic imaging* / Q000601:surgery