Automated calculation of ovarian follicular diameters using three dimensional sonography in women undergoing in vitro fertilization (IVF): a prospective evaluation of a novel software

Deutch, T.D.; Abuhamad, Alfred; Matson, David O.; Bocca, Silvina; Stadtmauer, Laurel; Oehninger, Sergio

doi:10.1016/j.fertnstert.2007.07.268

Cited by 5 publications

(9 citation statements)

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“…After application of SonoAVC to a large number of patients, we now estimate that approximately 5% of cases cannot be monitored by the automatic mode (analysis of the 3D image is difficult and live scanning is required) and another 15% require such extensive postprocessing work that the automatic mode is not useful. In the remaining 80% of patients, however, the advantages of the automatic mode are clearcut: [1] increased accuracy of measurements, [2] improved efficiency, and [3] decision making based on follicular volumes.…”

Section: Discussionmentioning

confidence: 99%

“…The following time intervals were recorded for each individual patient and compared: [1] time required to perform the 2D measurements, [2] time necessary for volume acquisition, [3] time employed to apply the SonoAVC to each 3D volume, and [4] the sum of intervals 2 and 3.…”

Section: Timementioning

confidence: 99%

“…Measuring multiple follicles may also be inaccurate. In fact, inter-and intraobserver variation has been estimated to be approximately 20% when multiple follicles are present (2).…”

mentioning

confidence: 99%

“…The specific objectives were: [1] to assess the quality of the SonoAVC image in individual patients, [2] to investigate the correlation of SonoAVC measurements to 2D measurements, [3] to compare the time necessary for follicular monitoring using SonoAVC to traditional monitoring by 2D ultrasound, and [4] to evaluate the relationship between follicular volumes on the day of hCG administration and the number of mature oocytes retrieved and establish cutoff values of follicular volume that aid in the timing of hCG administration in IVF cycles.…”

mentioning

confidence: 99%

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Prospective evaluation of automated follicle monitoring in 58 in vitro fertilization cycles: follicular volume as a new indicator of oocyte maturity

Rodríguez-Fuentes¹,

Hernández²,

Garcia-Guzman³

et al. 2010

Fertility and Sterility

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Section: Discussionmentioning

confidence: 99%

Section: Timementioning

confidence: 99%

“…Measuring multiple follicles may also be inaccurate. In fact, inter-and intraobserver variation has been estimated to be approximately 20% when multiple follicles are present (2).…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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Prospective evaluation of automated follicle monitoring in 58 in vitro fertilization cycles: follicular volume as a new indicator of oocyte maturity

Rodríguez-Fuentes¹,

Hernández²,

Garcia-Guzman³

et al. 2010

Fertility and Sterility

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“…Finally, measuring the mean diameter of multiple follicles is time-consuming, and may result in crowded waiting rooms and frustrated patients; this forces the doctor to work quickly and, probably, with less precision. The final result is an intra- and inter-observer variation that has been estimated to be around 20% when several follicles are contemporaneously present inside the ovaries [ 37 ].…”

Section: Methodsmentioning

confidence: 99%

A critical review of bi-dimensional and three-dimensional ultrasound techniques to monitor follicle growth: do they help improving IVF outcome?

Revelli¹,

Martiny²,

Piane³

et al. 2014

Reprod Biol Endocrinol

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BackgroundThis review focuses on the possibility of improving the outcome of human IVF by studying the follicles where oocytes grow by ultrasound techniques. A comprehensive analysis of bi-dimensional (2D) and three-dimensional (3D) ultrasound (US) assessment of the follicle size and volume is presented.MethodsPublished reports from the year 1999 to 2014 analyzing the relationship between oocyte competence, IVF outcome and ultrasound assessment of the follicle size and volume have been critically analyzed.ResultsUS assessment of growing follicles has been performed mainly by 2D-US, and while overall very useful, it has been found to be of limited usefulness in predicting oocyte competence, recognize which follicles will release a mature metaphase II oocytes and decide the ideal time to trigger ovulation. In fact, a quite wide follicle size range (16–22 mm) has been reported to be associated with mature oocytes with good competence toward fertilization and embryo development. It has been also shown that smaller follicles sometimes contain mature, fertilizable oocytes. However, embryos derived from smaller follicles have probably a lower implantation potential, while follicles larger than 22 mm often contain post-mature eggs.ConclusionsThe study of follicular size by 2D-US is of limited usefulness in helping in the identification of follicles containing the best oocytes and in choosing the best moment to trigger ovulation. Possibly the value of US in this area will be improved by large prospective studies in which automated 3D-US will be used.

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CR-Unet-Based Ultrasonic Follicle Monitoring to Reduce Diameter Variability and Generate Area Automatically as a Novel Biomarker for Follicular Maturity

Liang

Fang

et al. 2020

Ultrasound in Medicine & Biology

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Follicle size is closely related to ovarian function and is an important biomarker in transvaginal ultrasound examinations for assessing follicular maturity during an assisted reproduction cycle. However, manual measurement is time consuming and subject to high inter-and intra-observer variability. Based on the deep learning model CR-Unet described in our previous study, the aim of our present study was to investigate further the feasibility of using this model in clinical practice by validating its performance in reducing the inter-and intra-observer variability of follicle diameter measurement. This study also investigated whether follicular area is a better biomarker than diameter in assessing follicular maturity. Data on 106 ovaries and 230 follicles collected from 80 cases of single follicular cycles and 26 cases of multiple follicular cycles constituted the validation set. Intra-observer variability was 0.973 and 0.982 for the senior sonographer and junior sonographer in single follicular cycles and 0.979 (0.971, 0.985) and 0.920 (0.892, 0.943) in multiple follicular cycles, respectively, while CR-Unet had no intra-group variation. BlandÀAltman plot analysis indicated that the 95% limits of agreement between senior sonographer and CR-Unet (À2.1 to 1.1 mm, À2.02 to 0.75 mm) were smaller than those between senior sonographer and junior sonographer (À1.51 to 1.15 mm, À2.1 to 1.56 mm) in single and multiple follicular cycles. The average operating times of diameter measurement taken by the junior sonographer, senior sonographer and CR-Unet were 7.54 § 1.8, 4.87 § 0.84 and 1.66 § 0.76 s, respectively (p < 0.001). Correlation analysis indicated that both manual and automated follicular area correlated better with follicular volume than diameter. The deep learning algorithm and the new biomarker of follicular area hold potential for clinical application of ultrasonic follicular monitoring.

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Automated calculation of ovarian follicular diameters using three dimensional sonography in women undergoing in vitro fertilization (IVF): a prospective evaluation of a novel software

Cited by 5 publications

References 0 publications

Prospective evaluation of automated follicle monitoring in 58 in vitro fertilization cycles: follicular volume as a new indicator of oocyte maturity

Prospective evaluation of automated follicle monitoring in 58 in vitro fertilization cycles: follicular volume as a new indicator of oocyte maturity

A critical review of bi-dimensional and three-dimensional ultrasound techniques to monitor follicle growth: do they help improving IVF outcome?

CR-Unet-Based Ultrasonic Follicle Monitoring to Reduce Diameter Variability and Generate Area Automatically as a Novel Biomarker for Follicular Maturity

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