Evaluation of an Artificial Intelligence Model for the Prediction of Human Blastocyst Ploidy Without Invasive Procedures

Официальное название

A Non-Invasive Artificial Intelligence Model for the Prediction of Human Blastocyst Ploidy: a Multi-Center, Prospective, Non-Randomized Validation Study

Обзор

The goal of this clinical trial is to evaluate an artificial intelligence model for the prediction of human blastocyst ploidy without invasive procedures in couples that receive preimplantation genetic testing. The main questions it aims to answer are: * Is an artificial intelligence model able to predict the ploidy status of a human blastocyst based on its 3D morphology? * Do quantitative 3D morphological parameters of trophectoderm cells and inner cell mass have strong correlations with human blastocyst ploidy status? Videos that include multi-view images of each blastocyst from participants will be collected on Day 5/6 of culture, and preimplantation genetic testing results of these blastocysts will be collected 4-8 weeks after trophectoderm biopsy.

Подробное описание

Background:

A pilot study has been conducted at The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School from August 2023 to September 2024. Videos and preimplantation genetic testing (PGT) results from 144 blastocysts were retrospectively collected. The artificial intelligence (AI) model first reconstructed the 3D surface of the blastocysts from the videos, and then measured their 3D morphological parameters. Based on these parameters, the model predicted the ploidy status of the blastocysts, and the prediction outputs were compared with the PGT results. The prediction sensitivity, specificity, accuracy and AUC were 90.5%, 91.3%, 90.9% and 0.946, respectively.

Study design:

This is a multi-center, prospective, non-randomized, non-blinded, and single-group study. After being informed about the study and potential risks, all participants will write the informed consents. Videos and PGT results of Day 5/6 blastocysts from each participant will be collected. Blastocysts will be classified as euploid, mosaic, and aneuploid corresponding to \<30%, 30-80%, and \>80% aneuploidy, respectively. Embryo culture, biopsy, and transfer will follow the standard operating procedure (SOP) in the laboratory. The study is non-interventional, and results will not be used to make treatment decisions.

Sample size:

We plan to enroll \~1408 Day 5/6 blastocysts in this trial based on one-sample sensitivity and specificity analysis. Meta-analysis shows that the sensitivity and specificity of the existing AI models are 73.4% (3702/5047) and 69.6% (4892/7028), and those of the non-invasive chromosomal screening methods are 80.3% (678/844) and 73.3% (908/1238) for non-invasively predicting blastocyst ploidy status. This study is presumed to achieve a sensitivity of no less than 85% and a specificity of no less than 80% with a significance level of α = 0.05. A total of 1126 blastocysts are required to achieve a statistical power of 0.9. Assuming a \~20% dropout rate, a total of 1408 blastocysts are anticipated to be enrolled. This sample size calculation is based on the analysis of statistical power and will be regularly revisited/adjusted during the trial period to ensure a high statistical power is achieved.

Data management:

The electronic data capture (EDC) system will be used for data collection. A clinical research coordinator will be assigned at each hospital, and they are responsible for recording the videos and clinical data via the EDC system. A senior clinical research associate will inspect the data in the EDC system regularly among 5 hospitals. The Data Safety and Monitoring Committee (DSMC) is responsible for overseeing the entire research process and the EDC system. For incomplete or missing data in the EDC system, the DSMC will contact the investigators for clarification.

Statistical analysis:

Statistical analysis will be conducted using IBM SPSS Statistics 26. Categorical variables will be described by number and percentage, and numerical variables will be described by mean, standard deviation (SD) and range. The Chi-squared test will be performed to analyze trends in categorical variables, and the t-test will be performed to compare numerical variables among different groups. Pearson correlation will be used to analyze the linear relationship among numerical variables. All statistical tests are two-tailed. P-values of \<0.05 will be considered statistically significant, and odd ratios (ORs) with 95% confidence interval (CI) will be calculated. Logistic regression will be used for multivariate analysis to calculate the adjusted odd ratios (aORs). The performance of the AI for blastocyst ploidy prediction will be evaluated by sensitivity, specificity, accuracy and AUC, with 95% confidence interval.

Missing data will be removed if the proportion of samples with missing values is very small relative to the total sample size. Otherwise, the average, maximum, minimum, medium, or regression model will be used to impute the missing values. Outliers will be treated as the missing data and addressed accordingly.

Вмешательства

• Другое Video recording
  Videos of rotating the blastocysts will be recorded during the preparation stage of trophectoderm (TE) biopsy. The focal plane starts from the middle plane of the blastocyst. and then moves downwards until individual TE cells and inner cell mass (ICM) are clearly visible. A biopsy micropipette is used to gently push the blastocyst and rotate the blastocyst each time by a small angle, for instance, smaller than 35° such that more than 10 images can be captured for the entire 360° rotation to achi

Первичные конечные точки

• Sensitivity [Срок оценки: Through study completion, an average of 1 year]
• Specificity [Срок оценки: Through study completion, an average of 1 year]

Вторичные конечные точки (2)

• Accuracy [Срок оценки: Through study completion, an average of 1 year]
• AUC [Срок оценки: Through study completion, an average of 1 year]

Критерии участия

Критерии включения

• Maternal age between 20 and 40; paternal age between 20 and 55.
• Preimplantation genetic testing (PGT) cycles, including PGT for aneuploidy, PGT for monogenic disorders (PGT-M) or PGT for structural chromosome defect (PGT-SR).
• Having at least one Day 5/6 blastocyst developed from two-pronuclear (2PN) embryo which is suitable for trophectoderm biopsy (i.e., degree of expansion: IV, and at least a grade better than C for trophectoderm and inner cell mass grading).
• Couples with written informed consent.

Критерии исключения

• Couples with contraindications for IVF or PGT.
• Women with all oocytes frozen after retrieval.
• Couples who fail to follow the study protocol.
• Couples deemed ineligible for enrollment by the investigator in consideration of study protocol and treatment safety.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Модель наблюдения

Когортное

Центры проведения

Китай · 5 центров

• The First Affiliated Hospital of USTC (Anhui Provincial Hospital) — Хэфэй
• The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School — Нанкин
• Jiangxi Maternal and Child Health Hospital — Nanchang
• Tangdu Hospital of Air Force Military Medical University — Сиань
• Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine — Шанхай

Публикации

• Scott RT Jr, Ferry K, Su J, Tao X, Scott K, Treff NR. Comprehensive chromosome screening is highly predictive of the reproductive potential of human embryos: a prospective, blinded, nonselection study. Fertil Steril. 2012 Apr;97(4):870-5. doi: 10.1016/j.fertnstert.2012.01.104. Epub 2012 Feb 2. PMID 22305103
• Wang L, Wang X, Liu Y, Ou X, Li M, Chen L, Shao X, Quan S, Duan J, He W, Shen H, Sun L, Yu Y, Cram DS, Leigh D, Yao Y. IVF embryo choices and pregnancy outcomes. Prenat Diagn. 2021 Dec;41(13):1709-1717. doi: 10.1002/pd.6042. Epub 2021 Oct 14. PMID 34480803
• Kushnir VA, Frattarelli JL. Aneuploidy in abortuses following IVF and ICSI. J Assist Reprod Genet. 2009 Mar;26(2-3):93-7. doi: 10.1007/s10815-009-9292-z. Epub 2009 Feb 18. PMID 19224361
• Kim JW, Lee WS, Yoon TK, Seok HH, Cho JH, Kim YS, Lyu SW, Shim SH. Chromosomal abnormalities in spontaneous abortion after assisted reproductive treatment. BMC Med Genet. 2010 Nov 3;11:153. doi: 10.1186/1471-2350-11-153. PMID 21044350
• Sciorio R, Dattilo M. PGT-A preimplantation genetic testing for aneuploidies and embryo selection in routine ART cycles: Time to step back? Clin Genet. 2020 Aug;98(2):107-115. doi: 10.1111/cge.13732. Epub 2020 Apr 6. PMID 32141057
• Munne S, Kaplan B, Frattarelli JL, Child T, Nakhuda G, Shamma FN, Silverberg K, Kalista T, Handyside AH, Katz-Jaffe M, Wells D, Gordon T, Stock-Myer S, Willman S; STAR Study Group. Preimplantation genetic testing for aneuploidy versus morphology as selection criteria for single frozen-thawed embryo transfer in good-prognosis patients: a multicenter randomized clinical trial. Fertil Steril. 2019 De PMID 31551155
• Rosenwaks Z, Handyside AH, Fiorentino F, Gleicher N, Paulson RJ, Schattman GL, Scott RT Jr, Summers MC, Treff NR, Xu K. The pros and cons of preimplantation genetic testing for aneuploidy: clinical and laboratory perspectives. Fertil Steril. 2018 Aug;110(3):353-361. doi: 10.1016/j.fertnstert.2018.06.002. No abstract available. PMID 30098682
• Belandres D, Shamonki M, Arrach N. Current status of spent embryo media research for preimplantation genetic testing. J Assist Reprod Genet. 2019 May;36(5):819-826. doi: 10.1007/s10815-019-01437-6. Epub 2019 Mar 21. PMID 30895497

Идентификаторы

NCT: NCT06762704 · 2024-739-02

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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