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iGAP: Individualized Growth Assessment Program


Individualized growth assessment (IGA) can be used to evaluate changes in anatomical parameters over time by comparing current measurements with their expected values. Expected values in the 3rd trimester and at birth are derived from second trimester size models that are previously established for each anatomical parameter in an individual fetus (e.g. each fetus is its own control).

Individualized Growth Assessment Program (iGAP) calculates 3rd trimester predicted size trajectories and birth characteristics. The software provides graphic displays and quantitative comparisons between actual and predicted measurements.

Results are provided for both individual and combined anatomical parameters. The growth potential of each fetus is empirically determined as part of this analysis for a personalized assessment of fetal growth and neonatal growth outcome.

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Clinical iGAP 		Most users will find Clinical iGAP to be adequate for evaluating fetal growth on an individualized basis.
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Research iGAP 		Others may have a need to organize one or more fetal growth projects that require secure team collaboration. To facilitate IGA research, the Research iGAP version allows specification of fetal groups for analysis and permits export of single parameter data. Another advanced option permits development of new composite prenatal growth assessment scores (cPGAS).
Program Features Clinical iGAP Research iGAP
Specifies Rossavik fetal growth models for multiple size parameters ✔ ✔
Generates expected third trimester size trajectories for each fetus ✔ ✔
Compares actual measurements with predicted values ✔ ✔
Summarizes growth for single and composite size parameters ✔ ✔
Provides a means for evaluating predicted birth characteristics ✔ ✔
Displays and exports composite growth summary graphs ✔ ✔
Capability for creation of projects and secure sharing of research data ✔
Permits customization of iGAP options for research purposes ✔
Data Export Features Clinical iGAP Research iGAP
Allows export of fetal data ✔ ✔
Allows export of main data analysis screens ✔ ✔
Allows export of single fetal size parameter data ✔
Allows export of IGA Data Summary ✔
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Video Tutorials
Tutorial I: What You Need to Know About Individualized Growth Assessment View Tutorial
Tutorial II: How To Use The Software on a Fetus with Normal Growth Outcome View Tutorial
Tutorial III: How To Use The Software on a Fetus with Growth Restriction View Tutorial
Tutorial IV: Part 1. General Approach for Data Analysis View Tutorial
Tutorial V: Part 2. Case Studies for IGA Interpretation View Tutorial
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Publications

  1. Deter RL, Lee W, Sangi-Haghpeykar H, Tarca AL, Yeo L, Romero R.     Individualized fetal growth assessment: critical evaluation of key concepts in the specification of third trimester size trajectories.  J Matern Fetal Neonatal Med. 2014; 27:543-551. PMID: 23962305
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  2. Deter RL, Lee W, Sangi-Haghpeykar H, Tarca AL, Yeo L, Romero R.     Fetal growth cessation in late pregnancy: Its impact on predicted size parameters used to classify small for gestational age neonates.  J Matern Fetal Neonatal Med. 2015;28:755-765. PMID: 24936858
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  3. Deter RL, Lee W, Sangi-Haghpeykar H, Tarca AL, Yeo L, Romero R.     A modified prenatal growth assessment score for the evaluation of fetal growth in the third trimester using single and composite biometric parameters.  J Matern Fetal Neonatal Med. 2015;28:745-754. PMID: 24993892
    Link to this publication

  4. Deter RL, Lee W, Sangi-Haghpeykar H, Tarca AL, Li J, Yeo L, Romero R.     Personalized third-trimester fetal growth evaluation: comparisons of individualized growth assessment, percentile line and conditional probability methods.  J Matern Fetal Neonatal Med. 2016; 29:177-85. PMID: 25491881
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  5. Deter RL, Levytska K, Lee W, Melamed N, Kingdom JCP.     Classifying neonatal growth outcomes: Use of birth weight, placental evaluation and individualized growth assessment.  J Matern Fetal Neonatal Med. 2016; 29: 3939-3949. PMID: 26998592
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  6. Deter RL, Lee W, Kingdom JCP, Romero R.     Fetal growth pathology score: a novel ultrasound parameter for individualized assessment of third trimester growth abnormalities.  J Matern Fetal Neonatal Med. 2018;31:866-876. PMID: 28277911
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  7. Deter RL, Lee W, Kingdom JCP, Sangi-Haghpeykar H, Romero R.     Third trimester growth restriction patterns: Individualized assessment using a Fetal Growth Pathology Score.  J Matern-Fetal Neonatal. Med. 2018; 31:2155-2163. PMID: 28573931
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  8. Deter RL, Lee W, Yeo L, Erez O, Ramamurthy U, Naik M, Romero R.    Individualized growth assessment: conceptual framework and practical implementation for the evaluation of fetal growth and neonatal growth outcome. Am J Obstet Gynecol. 2018;218(2S):S656-S678. PMID: 29422206
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  9. Deter RL, Lee W, Kingdom JCP, Romero R     Second trimester growth velocities: assessment of fetal growth potential in SGA singletons.  J Matern-Fetal Neonatal Med 2019; 32: 939-946. PMID: 29057683
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  10. Deter RL, Lee W, Campbell C.    Comparison of fetal size standards obtained with conventional methods and individualized assessment: The effect of adjusting for differences in growth potential. . J Matern-Fetal Neonatal Med, 2020; 33: 3170 - 3176. DOI: 10.1080/14767058.2019.1601695
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  11. Deter R, Lee W, Dicker P, Tully EC, Cody F, Malone FD, Flood KM.    Growth patterns and cardiovascular abnormalities in small for gestational age fetuses. 1. Pattern Characteristics. J. Matern-Fetal Neonatal Med. 2021; 34:3029 – 3038.
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  12. Deter, RL, Dicker P, Lee W, Tully EC, Cody F, Malone FD, Flood KM.    Growth patterns and cardiovascular abnormalities in SGA Fetuses: 2. Normal growth and progressive growth restriction. J Maten Fetal Neonatal Med. 2022, 35: 2818 -2827.
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  13. Deter, RL, Lee W, Dicker P, Tully EC, Cody F, Malone FD, Flood KM.    Growth patterns and cardiovascular abnormalities in SGA Fetuses: 3. Late, adaptive and recovering growth restriction. J Maten Fetal Neonatal Med. 2022; 35: 2808 -2817.
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  14. Deter RL , Lee W, Dicker P, Tully EC, Cody F, Malone FD, Flood KM.    Third Trimester Growth Diversity in Small Fetuses Classified as AGA or SGA at Birth. Ultrasound Obstet Gynecol 2021; 58:882-891.
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  15. Deter RL, Lee W, Romero, R.    Standards for Evaluating Neonatal Growth Outcomes Using Individualized Pathological Growth Potential Realization Indices. J Matern-Fetal Neonatal Med, 2022;35: 8080-8082.
    Link to this publication

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