Work

OC86: Establishing the validity of a new technique that facilitates automated follicular volume measurement

Year: 2007
Type: conference-abstract
Abstract: To assess the validity of new software (GE Healthcare) which automatically calculates the volume and dimensions of follicles within a 3D ultrasound dataset. 3D ultrasound was used to acquire volumetric data from the ovaries of 24 women undergoing ovarian stimulation as part of IVF treatment. All assessments were performed on the day of oocyte retrieval and the true volume of each follicle ascertained by manual measurement of the follicular aspirate. The new software automatically measures the volume of follicles and provides an estimate of the mean diameter (‘relaxed sphere diameter’) and the three perpendicular diameters (‘xyz diameters’). The mean diameter (MD) of these follicles was also measured manually using conventional 2D and 3D image displays and these values were used to estimate follicular volume (FV) using the sphere formula where FV (mL) = 4.1888 × (MD/2 cm). Limits of agreement were used to examine the validity of measurements. Some 100 follicles with a mean volume of 3.89 (range, 0.4–16.2) mL and diameter of 18.3 (range, 10.75–31.13) mm were studied. Results are summarized in the table. The software provided highly accurate automatic follicular volume measurements in all cases. Volume estimations made from automatic follicular diameter measurements using the ‘relaxed sphere diameter’ were equally valid whilst those made from the ‘xyz diameters’ were less valid but more accurate than volume estimations from manually derived follicular diameters. Volume estimations from manually derived diameters were more valid when the 3D multiplanar view was used. The new software provides automatic measurements of follicular diameter and volume that are more reliable and accurate than those estimated from manually derived follicular measurements. The software was developed in association with K plus Competence Center (Advanced Computer Vision) and part funded by the K plus Program.
Language: English
Field: Medicine
Open Access status: bronze
OpenAlex ID: W2020375733
Cites:
Cited by: 7
Related to: 10