1
|
Jiang Y, Wang L, Wang S, Shen H, Wang B, Zheng J, Yang J, Ma B, Zhang X. The effect of embryo selection using time-lapse monitoring on IVF/ICSI outcomes: A systematic review and meta-analysis. J Obstet Gynaecol Res 2023; 49:2792-2803. [PMID: 37778750 DOI: 10.1111/jog.15797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/12/2023] [Indexed: 10/03/2023]
Abstract
AIM To explore the effect of embryo selection using the time-lapse monitoring (TLM) system compared with conventional morphological selection (CMS) on in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) outcomes. METHODS We searched PubMed, Ovid-Embase, and The Cochrane Library for the following studies: At Comparison 1, embryo selection using TLM images in a TLM incubator based on morphology versus embryo selection using CMS in a conventional incubator based on morphology; at Comparison 2, embryo selection using TLM based on morphokinetics versus embryo selection using CMS based on morphology. The primary outcomes were the live birth rate (LBR), ongoing pregnancy rate (OPR), clinical pregnancy rate (CPR), and implantation rate (IR), and the secondary outcome was the miscarriage rate (MR). RESULTS A total of 14 randomized control trials (RCTs) were included. Both based on morphology, TLM incubators increased the IR (risk ratio [RR]: 1.10; 95% confidence interval [CI]: 1.01, 1.18; I2 = 0%, moderate-quality evidence) compared to conventional incubators. Low- to moderate-quality evidence suggests that TLM incubators did not improve LBR, OPR, CPR, and MR compared to conventional incubators. In addition, low- to moderate-quality evidence indicates that embryo selection using TLM based on morphokinetics did not improve LBR, OPR, CPR, IR, or MR compared to CMS based on morphology. CONCLUSIONS Low- to moderate-quality evidence suggests that neither TLM incubators nor embryo selection using TLM based on morphokinetics improved clinical outcomes (LBR, OPR, CPR, and MR) compared with CMS based on morphology. TLM is still an investigational procedure for IVF/ICSI practice.
Collapse
Affiliation(s)
- Yanbiao Jiang
- The First Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Liyan Wang
- The First Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
- The First Hospital of Lanzhou University, Lanzhou, People's Republic of China
- Key Laboratory for Reproductive Medicine and Embryo of Gansu Province, Lanzhou, People's Republic of China
| | - Sha Wang
- The First Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Haofei Shen
- The First Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Bin Wang
- The First Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Jianxiu Zheng
- The First Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Jinwei Yang
- Gansu Provincial Maternity and Child-care Hospital (Gansu Province Central Hospital), Lanzhou, People's Republic of China
| | - Bin Ma
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, People's Republic of China
| | - Xuehong Zhang
- The First Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
- The First Hospital of Lanzhou University, Lanzhou, People's Republic of China
- Key Laboratory for Reproductive Medicine and Embryo of Gansu Province, Lanzhou, People's Republic of China
| |
Collapse
|
2
|
Gleicher N, Darmon SK, Patrizio P, Barad DH. The utility of all-freeze IVF cycles depends on the composition of study populations. J Ovarian Res 2023; 16:190. [PMID: 37691109 PMCID: PMC10494345 DOI: 10.1186/s13048-023-01269-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 08/29/2023] [Indexed: 09/12/2023] Open
Abstract
BACKGROUND Because often introduced without proper validation studies, so-called "add-ons" to IVF have adversely affected in vitro fertilization (IVF) outcomes worldwide. All-freeze cycles (embryo banking, EB) with subsequently deferred thaw cycles are such an "add-on" and, because of greatly diverging reported outcomes, have become increasingly controversial. Based on "modeling" with selected patient populations, we in this study investigated whether reported outcome discrepancies may be the consequence of biased patient selection. RESULTS In four distinct retrospective case control studies, we modeled in four cohort pairings how cryopreservation with subsequent thaw cycles affects outcomes differently in good-, average- and poor-prognosis patients: (i) 127 fresh vs. 193 frozen donor-recipient cycles to model best-prognosis patients; (ii) 741 autologous fresh non-donor IVF cycles vs. 217 autologous frozen non-donor IVF cycles to model average prognosis patients; (iii) 143 favorably selected autologous non-donor IVF cycles vs. the same 217 frozen autologous cycles non-donor to monitor good- vs. average-prognosis patients; and (iv) 598 average and poor-prognosis autologous non-donor cycles vs. the same 217 frozen autologous non-donor cycles to model poor vs. average prognosis patients. In best-prognosis patients, EB marginally improved IVF outcomes. In unselected patients, EB had no effects. In poor-prognosis patients, EB adversely affected IVF outcomes. Unexpectedly, the study also discovered independent-of-age-associated chromosomal abnormalities, a previously unreported effect of recipient age on miscarriage risk in donor-egg recipients. CONCLUSIONS In poor-prognosis patients, EB cycles should be considered contraindicated. In intermediate-prognosis patients EB does not appear to change outcomes, not warranting additional cost and time delays. Therefore, only good-prognosis patients are candidates for EB, though they will experience only marginal benefits that may not be cost-effective.
Collapse
Affiliation(s)
- Norbert Gleicher
- The Center for Human Reproduction, 21 East 69th Street, New York, NY, 10021, USA.
- The Foundation for Reproductive Medicine, New York, NY, USA.
- Stem Cell Biology and Molecular Embryology Laboratory, The Rockefeller University, New York, NY, USA.
- Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.
| | - Sarah K Darmon
- The Center for Human Reproduction, 21 East 69th Street, New York, NY, 10021, USA
| | - Pasquale Patrizio
- The Center for Human Reproduction, 21 East 69th Street, New York, NY, 10021, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - David H Barad
- The Center for Human Reproduction, 21 East 69th Street, New York, NY, 10021, USA
- The Foundation for Reproductive Medicine, New York, NY, USA
| |
Collapse
|
3
|
Kieslinger DC, Vergouw CG, Ramos L, Arends B, Curfs MHJM, Slappendel E, Kostelijk EH, Pieters MHEC, Consten D, Verhoeven MO, Besselink DE, Broekmans F, Cohlen BJ, Smeenk JMJ, Mastenbroek S, de Koning CH, van Kasteren YM, Moll E, van Disseldorp J, Brinkhuis EA, Kuijper EAM, van Baal WM, van Weering HGI, van der Linden PJQ, Gerards MH, Bossuyt PM, van Wely M, Lambalk CB. Clinical outcomes of uninterrupted embryo culture with or without time-lapse-based embryo selection versus interrupted standard culture (SelecTIMO): a three-armed, multicentre, double-blind, randomised controlled trial. Lancet 2023; 401:1438-1446. [PMID: 37004670 DOI: 10.1016/s0140-6736(23)00168-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 12/02/2022] [Accepted: 01/17/2023] [Indexed: 04/04/2023]
Abstract
BACKGROUND Time-lapse monitoring is increasingly used in fertility laboratories to culture and select embryos for transfer. This method is offered to couples with the promise of improving pregnancy chances, even though there is currently insufficient evidence for superior clinical results. We aimed to evaluate whether a potential improvement by time-lapse monitoring is caused by the time-lapse-based embryo selection method itself or the uninterrupted culture environment that is part of the system. METHODS In this three-armed, multicentre, double-blind, randomised controlled trial, couples undergoing in-vitro fertilisation or intracytoplasmic sperm injection were recruited from 15 fertility clinics in the Netherlands and randomly assigned using a web-based, computerised randomisation service to one of three groups. Couples and physicians were masked to treatment group, but embryologists and laboratory technicians could not be. The time-lapse early embryo viability assessment (EEVA; TLE) group received embryo selection based on the EEVA time-lapse selection method and uninterrupted culture. The time-lapse routine (TLR) group received routine embryo selection and uninterrupted culture. The control group received routine embryo selection and interrupted culture. The co-primary endpoints were the cumulative ongoing pregnancy rate within 12 months in all women and the ongoing pregnancy rate after fresh single embryo transfer in a good prognosis population. Analysis was by intention to treat. This trial is registered on the ICTRP Search Portal, NTR5423, and is closed to new participants. FINDINGS 1731 couples were randomly assigned between June 15, 2017, and March 31, 2020 (577 to the TLE group, 579 to the TLR group, and 575 to the control group). The 12-month cumulative ongoing pregnancy rate did not differ significantly between the three groups: 50·8% (293 of 577) in the TLE group, 50·9% (295 of 579) in the TLR group, and 49·4% (284 of 575) in the control group (p=0·85). The ongoing pregnancy rates after fresh single embryo transfer in a good prognosis population were 38·2% (125 of 327) in the TLE group, 36·8% (119 of 323) in the TLR group, and 37·8% (123 of 325) in the control group (p=0·90). Ten serious adverse events were reported (five TLE, four TLR, and one in the control group), which were not related to study procedures. INTERPRETATION Neither time-lapse-based embryo selection using the EEVA test nor uninterrupted culture conditions in a time-lapse incubator improved clinical outcomes compared with routine methods. Widespread application of time-lapse monitoring for fertility treatments with the promise of improved results should be questioned. FUNDING Health Care Efficiency Research programme from Netherlands Organisation for Health Research and Development and Merck.
Collapse
Affiliation(s)
- D C Kieslinger
- IVF Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
| | - C G Vergouw
- IVF Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - L Ramos
- Division of Reproductive Medicine, Department of Obstetrics and Gynecology, Radboudumc, Nijmegen, Netherlands
| | - B Arends
- IVF Center, UMC Utrecht, Utrecht, Netherlands
| | | | - E Slappendel
- Center for Fertility, Nij Geertgen, Elsendorp, Netherlands
| | - E H Kostelijk
- IVF Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | | | - D Consten
- IVF Center, Elisabeth-TweeSteden Ziekenhuis Tilburg, Netherlands
| | - M O Verhoeven
- IVF Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - D E Besselink
- Division of Reproductive Medicine, Department of Obstetrics and Gynecology, Radboudumc, Nijmegen, Netherlands
| | - F Broekmans
- IVF Center, UMC Utrecht, Utrecht, Netherlands
| | - B J Cohlen
- Isala Fertility Center, Isala, Zwolle, Netherlands
| | - J M J Smeenk
- IVF Center, Elisabeth-TweeSteden Ziekenhuis Tilburg, Netherlands
| | - S Mastenbroek
- Center for Reproductive Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands; Amsterdam Reproduction and Development, Preconception and Conception, Amsterdam, Netherlands
| | - C H de Koning
- Center for Fertility, Tergooi Medical Centre, Blaricum, Netherlands
| | - Y M van Kasteren
- Center for Fertility, Noordwest Ziekenhuisgroep, Alkmaar, Netherlands
| | - E Moll
- Center for Fertility, Onze Lieve Vrouwe Gasthuis, Amsterdam, Netherlands
| | - J van Disseldorp
- Center for Fertility, Saint Antonius Ziekenhuis, Nieuwegein, Netherlands
| | - E A Brinkhuis
- Center for Fertility, Meander Medical Centre, Amersfoort, Netherlands
| | - E A M Kuijper
- Center for Fertility, Spaarne Gasthuis, Haarlem, Netherlands
| | - W M van Baal
- Center for Fertility, Flevo Hospital, Almere, Netherlands
| | | | - P J Q van der Linden
- Department of Obstetrics, Gynaecology and Reproductive Medicine, Deventer Ziekenhuis, Deventer, Netherlands
| | - M H Gerards
- Center for Fertility, Diakonessenhuis, Utrecht, Netherlands
| | - P M Bossuyt
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - M van Wely
- Center for Reproductive Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - C B Lambalk
- IVF Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
4
|
Mushtaq A, Mumtaz M, Raza A, Salem N, Yasir MN. Artificial Intelligence-Based Detection of Human Embryo Components for Assisted Reproduction by In Vitro Fertilization. SENSORS (BASEL, SWITZERLAND) 2022; 22:7418. [PMID: 36236516 PMCID: PMC9573355 DOI: 10.3390/s22197418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/21/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
Assisted reproductive technology is helping humans by addressing infertility using different medical procedures that help in a successful pregnancy. In vitro fertilization (IVF) is one of those assisted reproduction methods in which the sperm and eggs are combined outside the human body in a specialized environment and kept for growth. Assisted reproductive technology is helping humans by addressing infertility using different medical procedures that help in a successful pregnancy. The morphology of the embryological components is highly related to the success of the assisted reproduction procedure. In approximately 3-5 days, the embryo transforms into the blastocyst. To prevent the multiple-birth risk and to increase the chance of pregnancy the embryologist manually analyzes the blastocyst components and selects valuable embryos to transfer to the women's uterus. The manual microscopic analysis of blastocyst components, such as trophectoderm, zona pellucida, blastocoel, and inner cell mass, is time-consuming and requires keen expertise to select a viable embryo. Artificial intelligence is easing medical procedures by the successful implementation of deep learning algorithms that mimic the medical doctor's knowledge to provide a better diagnostic procedure that helps in reducing the diagnostic burden. The deep learning-based automatic detection of these blastocyst components can help to analyze the morphological properties to select viable embryos. This research presents a deep learning-based embryo component segmentation network (ECS-Net) that accurately detects trophectoderm, zona pellucida, blastocoel, and inner cell mass for embryological analysis. The proposed method (ECS-Net) is based on a shallow deep segmentation network that uses two separate streams produced by a base convolutional block and a depth-wise separable convolutional block. Both streams are densely concatenated in combination with two dense skip paths to produce powerful features before and after upsampling. The proposed ECS-Net is evaluated on a publicly available microscopic blastocyst image dataset, the experimental segmentation results confirm the efficacy of the proposed method. The proposed ECS-Net is providing a mean Jaccard Index (Mean JI) of 85.93% for embryological analysis.
Collapse
Affiliation(s)
- Abeer Mushtaq
- Department of Primary and Secondary Healthcare, Lahore 54000, Pakistan
| | - Maria Mumtaz
- Department of Primary and Secondary Healthcare, Lahore 54000, Pakistan
| | - Ali Raza
- Department of Primary and Secondary Healthcare, Lahore 54000, Pakistan
| | - Nema Salem
- Electrical and Computer Engineering Department, Effat College of Engineering, Effat University, Jeddah 22332, Saudi Arabia
| | | |
Collapse
|
5
|
Improved embryonic development and utilization rates with EmbryoScope: a within-subject comparison versus a benchtop incubator. ZYGOTE 2022; 30:633-637. [PMID: 35674243 DOI: 10.1017/s0967199422000077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The objective of this study was to investigate whether, in consecutive intracytoplasmic sperm injection (ICSI) cycles, embryonic development in an incubator with a time-lapse imaging (TLI) system is better than the previous one obtained in a benchtop incubator (G-185) with similar cultivation characteristics. The study was of a retrospective within-subject design, in which each cycle served as its own control. Data were obtained via the chart review of patients undergoing ICSI in a private university-affiliated in vitro fertilization (IVF) centre who fulfilled the following criteria: second ICSI attempt in which embryos were cultured in a TLI incubator system (TLI group, n = 71), preceded by a first ICSI attempt in which embryos were cultured in a benchtop incubator (Control group, n = 71). Embryonic development up to the fifth day of development, oocyte utilization rate (OUR; transferred embryos plus frozen embryos per total number of retrieved oocytes) and embryo utilization rate (EUR; transferred embryos plus frozen embryos per normally fertilized oocyte) were compared between the groups. There were significant differences in the day 2 non-cleavage rate, day 5 embryo rate, blastocyst development rate, frozen blastocyst rate, OUR, and EUR, in favour of the TLI group. Embryonic development, frozen blastocyst rate, OUR and EUR in the second ICSI cycle were significantly improved when the culture was performed in the EmbryoScope, compared with those rates obtained with culture in a G-185 in the first ICSI cycle of the same patients. The results may also lead to higher cumulative pregnancy outcomes following embryo thawing and transfer.
Collapse
|
6
|
Meng Q, Xu Y, Zheng A, Li H, Ding J, Xu Y, Pu Y, Wang W, Wu H. Noninvasive embryo evaluation and selection by time-lapse monitoring vs. conventional morphologic assessment in women undergoing in vitro fertilization/intracytoplasmic sperm injection: a single-center randomized controlled study. Fertil Steril 2022; 117:1203-1212. [PMID: 35367059 DOI: 10.1016/j.fertnstert.2022.02.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 02/12/2022] [Accepted: 02/15/2022] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To determine whether time-lapse monitoring (TLM) for cleavage-stage embryo selection improves reproductive outcomes in comparison with conventional morphological assessment (CMA) selection. DESIGN Prospective randomized controlled trial. SETTING Single academic center. PATIENTS We randomly assigned 139 women who were undergoing their first in vitro fertilization or intracytoplasmic sperm injection cycle to undergo either fresh embryo transfer or first frozen embryo transfer (FET). Only 1 cleavage-stage embryo was transferred to each participant. INTERVENTIONS The patients were randomly assigned to either the CMA or the TLM group. In the CMA group, day 2 and day 3 embryos were observed. A good-quality cleavage-stage embryo was selected for transfer or freezing in both groups. MAIN OUTCOME MEASURES The primary and secondary outcomes were the clinical pregnancy rate (CPR) and the live birth rate (LBR), respectively, after the first embryo transfer (fresh embryo transfer or FET). RESULTS The CPR and LBR were significantly lower in the TLM group than in the CMA group (CPR: 49.18% vs. 70.42%; relative risk, 0.70; 95% confidence interval [CI], 0.52-0.94; LBR: 45.90% vs. 64.79%; relative risk, 0.71; 95% CI, 0.51-0.98). The CPR with fresh embryo transfer or FET did not significantly differ between the TLM and the CMA groups (fresh embryo transfer: 44.44% vs. 70.0%, relative risk, 0.63, 95% CI, 0.39-1.03; FET: 52.94% vs. 70.73%, relative risk, 0.75, 95% CI, 0.52-1.09). There was a significant difference in the LBR with fresh embryo transfer between the TLM and the CMA groups (40.74% vs. 66.67%; relative risk, 0.61; 95% CI, 0.36-1.03). The LBRs with FET were similar in the TLM and the CMA groups (50.0% vs. 63.41%; relative risk, 0.79; 95% CI, 0.52-1.19). The rates of early spontaneous abortion and ectopic pregnancy did not differ between the TLM and the CMA groups. CONCLUSIONS Elective single cleavage-stage embryo transfer with TLM-based selection did not have any advantages over CMA when day 2 and day 3 embryo morphology was combined in young women with a good ovarian reserve. Because of these results, we conclude that TLM remains an investigational procedure for in vitro fertilization practice. CLINICAL TRIAL REGISTRATION NUMBER ChiCTR1900021981.
Collapse
Affiliation(s)
- Qingxia Meng
- Center of Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China
| | - Yunyu Xu
- State Key Laboratory of Reproductive Medicine, Center of Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China
| | - Aiyan Zheng
- Center of Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China
| | - Hong Li
- Center of Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China.
| | - Jie Ding
- Center of Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China
| | - Yongle Xu
- Center of Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China
| | - Yan Pu
- Center of Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China
| | - Wei Wang
- Center of Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China
| | - Huihua Wu
- Center of Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China
| |
Collapse
|
7
|
Rabbi F, Dabbagh SR, Angin P, Yetisen AK, Tasoglu S. Deep Learning-Enabled Technologies for Bioimage Analysis. MICROMACHINES 2022; 13:mi13020260. [PMID: 35208385 PMCID: PMC8880650 DOI: 10.3390/mi13020260] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 01/31/2022] [Accepted: 02/03/2022] [Indexed: 02/05/2023]
Abstract
Deep learning (DL) is a subfield of machine learning (ML), which has recently demonstrated its potency to significantly improve the quantification and classification workflows in biomedical and clinical applications. Among the end applications profoundly benefitting from DL, cellular morphology quantification is one of the pioneers. Here, we first briefly explain fundamental concepts in DL and then we review some of the emerging DL-enabled applications in cell morphology quantification in the fields of embryology, point-of-care ovulation testing, as a predictive tool for fetal heart pregnancy, cancer diagnostics via classification of cancer histology images, autosomal polycystic kidney disease, and chronic kidney diseases.
Collapse
Affiliation(s)
- Fazle Rabbi
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; (F.R.); (S.R.D.)
| | - Sajjad Rahmani Dabbagh
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; (F.R.); (S.R.D.)
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, Istanbul 34450, Turkey
- Koc University Is Bank Artificial Intelligence Lab (KUIS AILab), Koç University, Sariyer, Istanbul 34450, Turkey
| | - Pelin Angin
- Department of Computer Engineering, Middle East Technical University, Ankara 06800, Turkey;
| | - Ali Kemal Yetisen
- Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK;
| | - Savas Tasoglu
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; (F.R.); (S.R.D.)
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, Istanbul 34450, Turkey
- Koc University Is Bank Artificial Intelligence Lab (KUIS AILab), Koç University, Sariyer, Istanbul 34450, Turkey
- Institute of Biomedical Engineering, Boğaziçi University, Çengelköy, Istanbul 34684, Turkey
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany
- Correspondence:
| |
Collapse
|
8
|
Fadon P, Gallegos E, Jalota S, Muriel L, Diaz-Garcia C. Time-Lapse Systems: A Comprehensive Analysis on Effectiveness. Semin Reprod Med 2022; 39:e12-e18. [PMID: 35008119 DOI: 10.1055/s-0041-1742149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Time-lapse systems have quickly become a common feature of in vitro fertilization laboratories all over the world. Since being introduced over a decade ago, the alleged benefits of time-lapse technology have continued to grow, from undisturbed culture conditions and round the clock, noninvasive observations to more recent computer-assisted selection of embryos through the development of algorithms. Despite the global uptake of time-lapse technology, its real impact on clinical outcomes is still controversial. This review aims to explore the different features offered by time-lapse technology, discussing incubation, algorithms, artificial intelligence and the regulation of nonessential treatment interventions, while assessing evidence on whether any benefit is offered over conventional technology.
Collapse
Affiliation(s)
| | | | | | | | - Cesar Diaz-Garcia
- IVI London, IVIRMA Global, London, United Kingdom.,EGA Institute for Women's Health, University College London, London, United Kingdom
| |
Collapse
|
9
|
Ranganath A, Appaneravanda L, Gerstl B, Math N, Menon J, Gunasheela D. A study to find optimal intra-cytoplasmic sperm injection timing of oocytes matured from germinal vesicle in in Vitro maturation cycles using a time lapse system. J Hum Reprod Sci 2021; 14:415-421. [PMID: 35197688 PMCID: PMC8812402 DOI: 10.4103/jhrs.jhrs_130_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 11/24/2021] [Accepted: 12/02/2021] [Indexed: 11/04/2022] Open
|
10
|
Minasi MG, Greco P, Varricchio MT, Barillari P, Greco E. The clinical use of time-lapse in human-assisted reproduction. Ther Adv Reprod Health 2020; 14:2633494120976921. [PMID: 33336190 PMCID: PMC7724395 DOI: 10.1177/2633494120976921] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 11/04/2020] [Indexed: 11/18/2022] Open
Abstract
A major challenge in the assisted reproduction laboratory is to set up
reproducible and efficient criteria to identify the embryo with the
highest developmental potential. Over the years, several methods have
been used worldwide with this purpose. Initially, standard morphology
assessment was the only available strategy. It is now universally
recognized that besides being a very subjective embryo selection
strategy, morphology evaluation alone has a very poor prognostic
value. More recently, the availability of time-lapse incubators
allowed a continuous monitoring of human embryo development. This
technology has spread quickly and many fertility clinics over the
world produced a remarkable amount of data. To date, however, a
general consensus on which variables, or combination of variables,
should play a central role in embryo selection is still lacking. Many
confounding factors, concerning both patient features and clinical and
biological procedures, have been observed to influence embryo
development. In addition, several studies have reported unexpected
positive outcomes, even in the presence of abnormal developmental
criteria. While it does not seem that time-lapse technology is ready
to entirely replace the more invasive preimplantation genetic testing
in identifying the embryo with the highest implantation potential, it
is certainly true that its application is rapidly growing, becoming
progressively more accurate. Studies involving artificial intelligence
and deep-learning models as well as combining morphokinetic with other
non-invasive markers of embryo development, are currently ongoing,
raising hopes for its successful applicability for clinical purpose in
the near future. The present review mainly focuses on data published
starting from the first decade of 2000, when time-lapse technology was
introduced as a routine clinical practice in the infertility
centers.
Collapse
Affiliation(s)
| | | | | | - Paolo Barillari
- Center for Reproductive Medicine,
Villa Mafalda, Rome, Italy
| | - Ermanno Greco
- Center for Reproductive Medicine,
Villa Mafalda, Rome, Italy
- Saint Camillus International
University of Health and Medical Sciences (UniCamillus), Rome,
Italy
| |
Collapse
|
11
|
Chen M, Wu Y, Huang X, Li W, Sun C, Meng Z, Ai A, Hong L, Tang C, Li K, Fu Y, Chen Z, Kong P, Guo Y, Liu W, Mol BW, Teng X. Embryo incubation by time-lapse systems versus conventional incubators in Chinese women with diminished ovarian reserve undergoing IVF/ICSI: a study protocol for a randomised controlled trial. BMJ Open 2020; 10:e038657. [PMID: 33191252 PMCID: PMC7668367 DOI: 10.1136/bmjopen-2020-038657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
INTRODUCTION The time-lapse imaging system (TLS) is a newly developed non-invasive embryo assessment system. Compared with conventional incubators, a TLS provides stable culture conditions and consistent observations of embryo development, thereby potentially improving embryo quality and selection of the best quality embryo. Although TLSs have been routinely used in many in vitro fertilisation (IVF) centres globally, there is insufficient evidence to indicate that TLSs result in higher cumulative live birth rates over conventional incubators. The purpose of this study is to compare the cumulative live birth rates and safety including miscarriage in infertile patients with diminished ovarian reserve (DOR) from both TLSs and conventional incubators. METHODS AND ANALYSIS This study is a double-blind randomised controlled clinical trial (1:1 treatment ratio of TLSs vs conventional incubator). A total of 730 patients with DOR undergoing the first or second cycle of IVF or intracytoplasmic sperm injection (ICSI) will be enrolled and randomised into two parallel groups. Participants will undergo embryo culture in the TLSs (group A) or the conventional incubators (group B), respectively. Embryos are selected for transfer in both groups by the morphological characteristics. The embryo selection algorithm software is not used in the TLSs. The primary outcome is the cumulative live birth rate of the trial IVF/ICSI cycle within 12 months after randomisation. This study is powered to detect an absolute difference of 10% (35% vs 25%) at the significance level of 0.05% and 80% statistical power based on a two-sided test. ETHICS AND DISSEMINATION This trial has been approved by the Institutional Ethical Committee of Shanghai First Maternity and Infant Hospital (KS1958). All participants in the trial will provide written informed consent. The study will be conducted according to the principles outlined in the Declaration of Helsinki and its amendments. Results of this study will be disseminated in peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER Chinese Clinical Trial Registry (ChiCTR1900027746).
Collapse
Affiliation(s)
- Miaoxin Chen
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yuanyuan Wu
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xin Huang
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Wentao Li
- Department of Obstetrics and Gynaecology, Monash Medical Centre, Monash University, Melbourne, Victoria, Australia
| | - Chunyan Sun
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zhenzhen Meng
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ai Ai
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ling Hong
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chuanling Tang
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Kunming Li
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yonglun Fu
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zhiqin Chen
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Pengcheng Kong
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yi Guo
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Wenqiang Liu
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ben W Mol
- Department of Obstetrics and Gynaecology, Monash Medical Centre, Monash University, Melbourne, Victoria, Australia
| | - Xiaoming Teng
- Centre for Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| |
Collapse
|
12
|
Evaluating the value of day 0 of an ICSI cycle on indicating laboratory outcome. Sci Rep 2020; 10:19325. [PMID: 33168856 PMCID: PMC7653966 DOI: 10.1038/s41598-020-75164-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Accepted: 10/07/2020] [Indexed: 01/12/2023] Open
Abstract
A number of oocyte characteristics have been associated with fertilization, implantation and live-birth rates, albeit without reaching a consensus. This study aims to delineate possible associations between oocyte characteristics, oocyte behavior during intracytoplasmic sperm injection (ICSI), fertilization potential, and laboratory outcomes. Four-hundred and seventy-seven patients, yielding 3452 oocytes, were enrolled in this prospective observational study from 2015 to 2018. Οoplasm granularity was associated with poor embryo quality and higher probabilities of post-ICSI oocytes and embryos discarded in any developmental stage and never selected for embryo transfer or cryopreservation (p < 0.001). Both sudden or difficult ooplasm aspiration, and high or lack of resistance during ICSI were associated with either a poor Zygote-Score or fertilization failure (p < 0.001). Sudden or difficult ooplasm aspiration and high resistance during ICSI penetration were positively associated with resulting to a post-ICSI oocyte or embryo that would be selected for discard. Evaluation of oocyte characteristics and oocyte behavior during ICSI may provide early information regarding laboratory and cycle outcomes. Particularly, ooplasm granularity, and fragmentation of polar body, along with sudden or difficult ooplasm aspiration and high or lack of resistance during ICSI penetration may hinder the outcome of an ICSI cycle. The associations presented herein may contribute towards development of a grading system or a prediction model. Taking into account information on oocytes and ICSI behavior may effectively assist in enhancing IVF outcome rates.
Collapse
|
13
|
Gallego RD, Remohí J, Meseguer M. Time-lapse imaging: the state of the art†. Biol Reprod 2020; 101:1146-1154. [PMID: 30810735 DOI: 10.1093/biolre/ioz035] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 02/12/2019] [Accepted: 02/26/2019] [Indexed: 12/12/2022] Open
Abstract
The introduction of time-lapse imaging to clinical in vitro fertilization practice enabled the undisturbed monitoring of embryos throughout the entire culture period. Initially, the main objective was to achieve a better embryo development. However, this technology also provided an insight into the novel concept of morphokinetics, parameters regarding embryo cell dynamics. The vast amount of data obtained defined the optimal ranges in the cell-cycle lengths at different stages of embryo development. This added valuable information to embryo assessment prior to transfer. Kinetic markers became part of embryo evaluation strategies with the potential to increase the chances of clinical success. However, none of them has been established as an international standard. The present work aims at describing new approaches into time-lapse: progress to date, challenges, and possible future directions.
Collapse
|
14
|
Bormann CL, Thirumalaraju P, Kanakasabapathy MK, Kandula H, Souter I, Dimitriadis I, Gupta R, Pooniwala R, Shafiee H. Consistency and objectivity of automated embryo assessments using deep neural networks. Fertil Steril 2020; 113:781-787.e1. [PMID: 32228880 PMCID: PMC7583085 DOI: 10.1016/j.fertnstert.2019.12.004] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 11/04/2019] [Accepted: 12/02/2019] [Indexed: 01/16/2023]
Abstract
OBJECTIVE To evaluate the consistency and objectivity of deep neural networks in embryo scoring and making disposition decisions for biopsy and cryopreservation in comparison to grading by highly trained embryologists. DESIGN Prospective double-blind study using retrospective data. SETTING U.S.-based large academic fertility center. PATIENTS Not applicable. INTERVENTION(S) Embryo images (748 recorded at 70 hours postinsemination [hpi]) and 742 at 113 hpi) were used to evaluate embryologists and neural networks in embryo grading. The performance of 10 embryologists and a neural network were also evaluated in disposition decision making using 56 embryos. MAIN OUTCOME MEASURES Coefficients of variation (%CV) and measures of consistencies were compared. RESULTS Embryologists exhibited a high degree of variability (%CV averages: 82.84% for 70 hpi and 44.98% for 113 hpi) in grading embryo. When selecting blastocysts for biopsy or cryopreservation, embryologists had an average consistency of 52.14% and 57.68%, respectively. The neural network outperformed the embryologists in selecting blastocysts for biopsy and cryopreservation with a consistency of 83.92%. Cronbach's α analysis revealed an α coefficient of 0.60 for the embryologists and 1.00 for the network. CONCLUSIONS The results of our study show a high degree of interembryologist and intraembryologist variability in scoring embryos, likely due to the subjective nature of traditional morphology grading. This may ultimately lead to less precise disposition decisions and discarding of viable embryos. The application of a deep neural network, as shown in our study, can introduce improved reliability and high consistency during the process of embryo selection and disposition, potentially improving outcomes in an embryology laboratory.
Collapse
Affiliation(s)
- Charles L Bormann
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Prudhvi Thirumalaraju
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Manoj Kumar Kanakasabapathy
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Hemanth Kandula
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Irene Souter
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Irene Dimitriadis
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Raghav Gupta
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Rohan Pooniwala
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Hadi Shafiee
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts.
| |
Collapse
|
15
|
Kalleas D, McEvoy K, Horne G, Roberts SA, Brison DR. Live birth rate following undisturbed embryo culture at low oxygen in a time-lapse incubator compared to a high-quality benchtop incubator. HUM FERTIL 2020; 25:147-153. [PMID: 32098536 DOI: 10.1080/14647273.2020.1729423] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Time-lapse (TL) incubators are increasingly used in in vitro fertilization (IVF) laboratories but there have been few studies of their effectiveness in comparison to other incubator types. Moreover, the design of most studies has been limited by the quality of the control incubator. We have therefore performed a one-year pseudo-randomized prospective study of IVF cycles using a TL incubator (EmbryoScope™) (n = 243) or a conventional incubator (K-System G-185 Flatbed) (n = 203). The two groups were well matched in terms of clinical parameters: IVF cycle attempt number, IVF/ICSI, age, number and day (3 or 5) of embryo transfer. Embryos were selected for transfer using conventional (non-TL) morphological grading. The EmbryoScope group had an increased chance of a live birth (43.2% vs. 34.5%; OR = 1.43 [95%CI: 0.96-2.13]) with significantly reduced early pregnancy loss (5.8% vs. 13.8%; OR = 0.37 [0.19-0.74]) compared to the K-System incubator. There was a higher proportion of 4-cell embryos on day 2 and 8-cell embryos on day 3 in the EmbryoScope, compared to the K-Systems. The use of TL incubators is appropriate in ART by virtue of their high specification, facility for low oxygen culture and provision of minimally disturbed culture conditions which limit exposure of human embryos to environmental stress.
Collapse
Affiliation(s)
- Dimitrios Kalleas
- Department of Reproductive Medicine, Old St Mary's Hospital Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Keith McEvoy
- Department of Reproductive Medicine, Old St Mary's Hospital Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Gregory Horne
- Department of Reproductive Medicine, Old St Mary's Hospital Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Stephen A Roberts
- Centre for Biostatistics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Daniel R Brison
- Department of Reproductive Medicine, Old St Mary's Hospital Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK.,Maternal & Fetal Health Research Centre, Division of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| |
Collapse
|
16
|
Kanakasabapathy MK, Thirumalaraju P, Bormann CL, Kandula H, Dimitriadis I, Souter I, Yogesh V, Kota Sai Pavan S, Yarravarapu D, Gupta R, Pooniwala R, Shafiee H. Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology. LAB ON A CHIP 2019; 19:4139-4145. [PMID: 31755505 PMCID: PMC6934406 DOI: 10.1039/c9lc00721k] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Embryo assessment and selection is a critical step in an in vitro fertilization (IVF) procedure. Current embryo assessment approaches such as manual microscopy analysis done by embryologists or semi-automated time-lapse imaging systems are highly subjective, time-consuming, or expensive. Availability of cost-effective and easy-to-use hardware and software for embryo image data acquisition and analysis can significantly empower embryologists towards more efficient clinical decisions both in resource-limited and resource-rich settings. Here, we report the development of two inexpensive (<$100 and <$5) and automated imaging platforms that utilize advances in artificial intelligence (AI) for rapid, reliable, and accurate evaluations of embryo morphological qualities. Using a layered learning approach, we have shown that network models pre-trained with high quality embryo image data can be re-trained using data recorded on such low-cost, portable optical systems for embryo assessment and classification when relatively low-resolution image data are used. Using two test sets of 272 and 319 embryo images recorded on the reported stand-alone and smartphone optical systems, we were able to classify embryos based on their cell morphology with >90% accuracy.
Collapse
Affiliation(s)
- Manoj Kumar Kanakasabapathy
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Prudhvi Thirumalaraju
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Charles L Bormann
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynaecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA and Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hemanth Kandula
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Irene Dimitriadis
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynaecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Irene Souter
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynaecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Vinish Yogesh
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sandeep Kota Sai Pavan
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Divyank Yarravarapu
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Raghav Gupta
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Rohan Pooniwala
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Hadi Shafiee
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. and Department of Medicine, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
17
|
Magdi Y, Samy A, Abbas AM, Ibrahim MA, Edris Y, El-Gohary A, Fathi AM, Fawzy M. Effect of embryo selection based morphokinetics on IVF/ICSI outcomes: evidence from a systematic review and meta-analysis of randomized controlled trials. Arch Gynecol Obstet 2019; 300:1479-1490. [PMID: 31667608 DOI: 10.1007/s00404-019-05335-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 10/15/2019] [Indexed: 12/14/2022]
Abstract
PURPOSE Debate exists for the optimal tool to select embryos for transfer in assisted reproductive technology (ART). Time-lapse monitoring (TLM) is a noninvasive tool suggested where each embryo can be captured every 5-20 min. Given the inconsistency in the existing studies, we conducted this meta-analysis of RCTs to summarize the evidence available concerning the predictive ability of morphokinetics compared with the routine assessment of embryo development in ART. METHODS The primary databases MEDLINE, EMBASE, Cochrane, NHS, WHO, and Other Non-Indexed Citations were consulted for RCTs that have been published until November 2018, with no language restriction. RESULTS AND CONCLUSION Our review includes 6 RCTs (n = 2057 patients). The data showed an improvement (~ 9%) in live birth TLM (OR 1.43; 95% CI 1.10-1.85; P = 0.007), with low-quality evidence. There was no evidence of a significant difference between both groups concerning ongoing pregnancy, clinical pregnancy and implantation rates. The data further showed that morphokinetics is associated with decreased early pregnancy loss rate. These estimates must be interpreted with caution owing to the statistical and clinical heterogeneities and the consequent difficulty in drawing any meaningful conclusion.
Collapse
Affiliation(s)
- Yasmin Magdi
- Al-Yasmeen Fertility and Gynecology Center, 5 Farid Nada Street, Benha, 13511, Qalubyia, Egypt.
| | - Ahmed Samy
- Department of Obstetrics and Gynecology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Ahmed M Abbas
- Department of Obstetrics and Gynecology, Faculty of Medicine, Assiut University, Assiut, Egypt
| | - Mohamed Ahmed Ibrahim
- Department of Obstetrics and Gynecology, Faculty of Medicine, Benha University, Benha, Egypt
| | - Yehia Edris
- Department of Obstetrics and Gynecology, Faculty of Medicine, Benha University, Benha, Egypt
| | - Ayman El-Gohary
- Department of Obstetrics and Gynecology, Faculty of Medicine, Benha University, Benha, Egypt
| | - Ahmed M Fathi
- Department of Obstetrics and Gynecology, Faculty of Medicine, Kafrelsheikh University, Kafr El-Sheikh, Egypt
| | | |
Collapse
|
18
|
Li Z, Ehmke N, Lorenzo IM, Machaty Z, Nolte D. Biodynamic optical assay for embryo viability. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-4. [PMID: 31240897 PMCID: PMC6977009 DOI: 10.1117/1.jbo.24.6.060502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 05/31/2019] [Indexed: 06/09/2023]
Abstract
Early stage porcine parthenogenetic embryos were evaluated for metabolic activity using a biodynamic microscope (BDM) that images dynamic light scattering using low-coherence digital holography. The microscope has a 45-deg illumination configuration that reduces specular background for the imaging of small translucent samples. The off-axis illumination is compatible with coherence-gated imaging because of volumetric light scattering in which the coherence plane is tilted at half the illumination angle in a three-dimensional tissue target. The BDM was used to profile the viability of porcine parthenotes with normal and with inhibited mitochondrial adenosine triphosphate (ATP) production using Doppler fluctuation spectroscopy. The ATP concentrations in the parthenotes, which are indicative of developmental potential, were validated by a conventional bioluminescence assay. Biodynamic classifications achieved ∼80 % accuracy correlating sample ATP treatment, providing a quick, label-free surrogate measurement to replace invasive metabolic assays as a candidate for evaluating quality of early embryos in the assisted reproductive technology setting.
Collapse
Affiliation(s)
- Zhe Li
- Purdue University, Department of Physics and Astronomy, West Lafayette, Indiana, United States
| | - Natalie Ehmke
- Purdue University, Department of Animal Sciences, West Lafayette, Indiana, United States
| | - Ilka M. Lorenzo
- Purdue University, Department of Animal Sciences, West Lafayette, Indiana, United States
| | - Zoltan Machaty
- Purdue University, Department of Animal Sciences, West Lafayette, Indiana, United States
| | - David Nolte
- Purdue University, Department of Physics and Astronomy, West Lafayette, Indiana, United States
| |
Collapse
|
19
|
Armstrong S, Bhide P, Jordan V, Pacey A, Marjoribanks J, Farquhar C. Time-lapse systems for embryo incubation and assessment in assisted reproduction. Cochrane Database Syst Rev 2019; 5:CD011320. [PMID: 31140578 PMCID: PMC6539473 DOI: 10.1002/14651858.cd011320.pub4] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND Embryo incubation and assessment is a vital step in assisted reproductive technology (ART). Traditionally, embryo assessment has been achieved by removing embryos from a conventional incubator daily for quality assessment by an embryologist, under a microscope. In recent years time-lapse systems (TLS) have been developed which can take digital images of embryos at frequent time intervals. This allows embryologists, with or without the assistance of embryo selection software, to assess the quality of the embryos without physically removing them from the incubator.The potential advantages of a TLS include the ability to maintain a stable culture environment, therefore limiting the exposure of embryos to changes in gas composition, temperature, and movement. A TLS has the potential advantage of improving embryo selection for ART treatment by utilising additional information gained through continuously monitoring embryo development. Use of a TLS often adds significant extra cost to ART treatment. OBJECTIVES To determine the effect of a TLS compared to conventional embryo incubation and assessment on clinical outcomes in couples undergoing ART. SEARCH METHODS We used standard methodology recommended by Cochrane. We searched the Cochrane Gynaecology and Fertility (CGF) Group Trials Register, CENTRAL, MEDLINE, Embase, CINAHL, and two trials registers on 7 January 2019 and checked references of appropriate papers. SELECTION CRITERIA We included randomised controlled trials (RCTs) comparing TLS, with or without embryo selection software, versus conventional incubation with morphological assessment; and TLS with embryo selection software versus TLS without embryo selection software among couples undergoing ART. DATA COLLECTION AND ANALYSIS We used standard methodological procedures recommended by Cochrane. The primary review outcomes were live birth or ongoing pregnancy, miscarriage and stillbirth, and cumulative live birth or ongoing pregnancy rate. The secondary outcomes were clinical pregnancy and cumulative clinical pregnancy. We assessed the quality of the evidence using GRADE methodology. We made the following comparisons.TLS with conventional morphological assessment of still TLS images versus conventional incubation and assessmentTLS utilising embryo selection software versus TLS with conventional morphological assessment of still TLS images TLS utilising embryo selection software versus conventional incubation and assessment MAIN RESULTS: We included nine RCTs (N = 2955 infertile couples). The quality of the evidence ranged from very low to low. The main limitations were high risk of bias in the included studies, imprecision, indirectness, and inconsistency. There were no data on cumulative live birth or ongoing pregnancy rate or cumulative clinical pregnancy rate.TLS with conventional morphological assessment of still TLS images versus conventional incubation and assessmentIt is unclear whether there is any difference between interventions in rates of live birth or ongoing pregnancy (odds ratio (OR) 0.91, 95% confidence interval (CI) 0.67 to 1.23, 3 RCTs, N = 826, I2 = 33%, low-quality evidence) or in miscarriage rates (OR 1.90, 95% CI 0.99 to 3.61, 3 RCTs, N = 826, I2 = 0%, low-quality evidence). The evidence suggests that if the rate of live birth or ongoing pregnancy associated with conventional incubation and assessment is 35%, the rate with the use of TLS with conventional morphological assessment of still TLS images would be between 27% and 40%, and if the miscarriage rate with conventional incubation is 4%, the rate associated with conventional morphological assessment of still TLS images would be between 4% and 14%. It is unclear whether there is a difference between the interventions in rates of stillbirth (OR 1.00, 95% CI 0.13 to 7.49, 1 RCT, N = 76, low-quality evidence) or clinical pregnancy (OR 1.06, 95% CI 0.79 to 1.41, 4 RCTs, N = 875, I2 = 0%, low-quality evidence).TLS utilising embryo selection software versus TLS with conventional morphological assessment of still TLS imagesAll findings for this comparison were very uncertain due to the very low-quality of the evidence. No data were available on live birth, but one RCT reported ongoing pregnancy. It is unclear whether there is any difference between the interventions in rates of ongoing pregnancy (OR 0.61, 95% CI 0.32 to 1.20, 1 RCT, N = 163); miscarriage (OR 1.39, 95% CI 0.64 to 3.01, 2 RCTs, N = 463, I2 = 0%); or clinical pregnancy (OR 0.97, 95% CI 0.67 to 1.42, 2 RCTs, N = 463, I2 = 0%). The evidence suggests that if the rate of ongoing pregnancy associated with TLS with conventional morphological assessment of still TLS images is 47%, the rate associated with TLS utilising embryo selection software would be between 22% and 52%, and if the miscarriage rate associated with conventional morphological assessment of still TLS images is 5%, the rate associated with TLS utilising embryo selection software would be between 4% and 15%. No studies reported stillbirth.TLS utilising embryo selection software versus conventional incubation and assessmentThe findings for this comparison were also very uncertain due to the very low quality of the evidence. It is unclear whether there is any difference between the interventions in rates of live birth (OR 1.12, 95% CI 0.92 to 1.36, 3 RCTs, N = 1617, I2 = 84%). There was very low-quality evidence that TLS might reduce miscarriage rates (OR 0.63, 95% CI 0.45 to 0.89, 3 RCTs, N = 1617, I2 = 0%). It is unclear whether there is any difference between the interventions in rates of clinical pregnancy (OR 0.95, 95% CI 0.78 to 1.16, 3 RCTs, N = 1617, I2 = 89%). The evidence suggests that if the rate of live birth associated with conventional incubation and assessment is 48%, the rate with TLS utilising embryo selection software would be between 46% and 55%, and if the miscarriage rate with conventional incubation and assessment is 11%, the rate associated with TLS would be between 5% and 10%. No stillbirths occurred in the only study reporting this outcome. AUTHORS' CONCLUSIONS There is insufficient good-quality evidence of differences in live birth or ongoing pregnancy, miscarriage and stillbirth, or clinical pregnancy to choose between TLS, with or without embryo selection software, and conventional incubation. As the evidence is of low or very low-quality, our findings should be interpreted with caution.
Collapse
Affiliation(s)
- Sarah Armstrong
- University of SheffieldDepartment of Oncology & MetabolismAcademic Unit of Reproductive and Developmental MedicineLevel 4, The Jessop WingSheffieldUKS10 2SF
| | - Priya Bhide
- Homerton University Hospital NHS Foundation TrustHomerton RowHackneyLondonUKE9 6SR
| | - Vanessa Jordan
- University of AucklandDepartment of Obstetrics and GynaecologyPrivate Bag 92019AucklandNew Zealand1003
| | - Allan Pacey
- The University of SheffieldDepartment of Oncology & Metabolism, Academic Unit of Reproductive and Developmental MedicineLevel 4, The Jessop WingSheffieldUKS10 2SF
| | - Jane Marjoribanks
- University of AucklandDepartment of Obstetrics and GynaecologyPrivate Bag 92019AucklandNew Zealand1003
| | - Cindy Farquhar
- University of AucklandDepartment of Obstetrics and GynaecologyPrivate Bag 92019AucklandNew Zealand1003
| | | |
Collapse
|
20
|
Kovacs P, Matyas S, Forgacs V, Sajgo A, Molnar L, Pribenszky C. Non-invasive embryo evaluation and selection using time-lapse monitoring: Results of a randomized controlled study. Eur J Obstet Gynecol Reprod Biol 2018; 233:58-63. [PMID: 30580224 DOI: 10.1016/j.ejogrb.2018.12.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 05/31/2018] [Accepted: 12/06/2018] [Indexed: 10/27/2022]
Abstract
OBJECTIVE Continuous monitoring of embryos via time-lapse (TL) provides more information on embryo kinetics and morphology compared to standard daily evaluation. Embryo selection by TL could support single embryo transfer (SET). With SET multiple gestations are avoided and perinatal outcome is improved. Our primary goal was to determine whether selection of a single blastocyst based on an algorithm comprising kinetic and morphologic scores assessed through continuous TL monitoring results in superior clinical outcome compared to embryo selection based on morphology alone. A secondary goal was to assess whether a time-lapse score based on kinetic and morphologic parameters was predictive of implantation. STUDY DESIGN Randomized controlled trial performed in two private IVF centers in Hungary. Infertile couples scheduled to undergo 1st or 2nd IVF cycles were enrolled. Female age had to be under 36 years. The intervention was embryo evaluation/selection based on TL algorithm. Patients were randomized to SET with TL monitoring (TL-eSET) vs. SET with standard evaluation (control-eSET). Assuming an increase in pregnancy from 44% to 58%, a sample size of 202 per group was calculated based on the interim analysis at 10% information fraction. The primary outcome of the study was pregnancy rate. Secondary outcomes were miscarriage rates, live birth, perinatal outcome and the ability of a time-lapse score constructed based on kinetic and morphologic parameters to predict implantation. Chi-square tests, likelihood-ratio tests and exact tests were used for the analysis of categorical variables. Continuous variables were compared using independent group t-test and analysis of variance. RESULTS The study was closed after three years. Eventually 161 patients were randomized and analyzed (N = 80 TL-eSET and N = 81 control-eSET). Pregnancy rate did not significantly differ between the groups though there was a trend favoring TL selection (TL-eSET: 46.3% vs control-eSET: 34.6%, p = 0.150; OR: 1.628 (95% CI: 0.857-3.092)). The time-lapse score based on morphologic and kinetic parameters was significantly higher for blastocysts that implanted vs. those that did not (14.5 ± 1.8 vs. 12.1 ± 2.9, p = 0.0001). There were no adverse effects of the intervention. CONCLUSIONS Selection of a single blastocyst based on information derived from time-lapse monitoring can aid embryo selection for SET.
Collapse
Affiliation(s)
- Peter Kovacs
- Kaali Institute IVF Center, Istenhegyi ut 54/a, 1125, Budapest, Hungary.
| | - Szabolcs Matyas
- Kaali Institute IVF Center, Istenhegyi ut 54/a, 1125, Budapest, Hungary
| | - Vince Forgacs
- Forgacs Intezet, Kossuth Lajos utca 143, 1205, Budapest, Hungary
| | - Attila Sajgo
- Kaali Institute IVF Center, Istenhegyi ut 54/a, 1125, Budapest, Hungary
| | - Laszlo Molnar
- MediBit Foundation, Vörösmarty u. 3/B, 1201, Budapest, Hungary
| | - Csaba Pribenszky
- University of Veterinary Science, Istvan u, 2, 1078, Budapest, Hungary
| |
Collapse
|
21
|
Tabibnejad N, Soleimani M, Aflatoonian A. Zona pellucida birefringence and meiotic spindle visualization are not related to the time-lapse detected embryo morphokinetics in women with polycystic ovarian syndrome. Eur J Obstet Gynecol Reprod Biol 2018; 230:96-102. [DOI: 10.1016/j.ejogrb.2018.09.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/17/2018] [Accepted: 09/12/2018] [Indexed: 11/17/2022]
|
22
|
Armstrong S, Bhide P, Jordan V, Pacey A, Farquhar C. Time-lapse systems for embryo incubation and assessment in assisted reproduction. Cochrane Database Syst Rev 2018; 5:CD011320. [PMID: 29800485 PMCID: PMC6494546 DOI: 10.1002/14651858.cd011320.pub3] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
BACKGROUND Embryo incubation and assessment is a vital step in assisted reproductive technology (ART). Traditionally, embryo assessment has been achieved by removing embryos from a conventional incubator daily for quality assessment by an embryologist, under a light microscope. Over recent years time-lapse systems have been developed which can take digital images of embryos at frequent time intervals. This allows embryologists, with or without the assistance of embryo selection software, to assess the quality of the embryos without physically removing them from the incubator.The potential advantages of a time-lapse system (TLS) include the ability to maintain a stable culture environment, therefore limiting the exposure of embryos to changes in gas composition, temperature and movement. A TLS has the potential advantage of improving embryo selection for ART treatment by utilising additional information gained through continuously monitoring embryo development. Use of a TLS often adds significant extra cost onto an in vitro fertilisation (IVF) cycle. OBJECTIVES To determine the effect of a TLS compared to conventional embryo incubation and assessment on clinical outcomes in couples undergoing ART. SEARCH METHODS We used standard methodology recommended by Cochrane. We searched the Cochrane Gynaecology and Fertility (CGF) Group trials register, CENTRAL, MEDLINE, Embase, CINAHL and two trials registers on 2 August 2017. SELECTION CRITERIA We included randomised controlled trials (RCTs) in the following comparisons: comparing a TLS, with or without embryo selection software, versus conventional incubation with morphological assessment; and TLS with embryo selection software versus TLS without embryo selection software among couples undergoing ART. DATA COLLECTION AND ANALYSIS We used standard methodological procedures recommended by Cochrane. The primary review outcomes were live birth, miscarriage and stillbirth. Secondary outcomes were clinical pregnancy and cumulative clinical pregnancy. We reported quality of the evidence for important outcomes using GRADE methodology. We made the following comparisons.TLS with conventional morphological assessment of still TLS images versus conventional incubation and assessmentTLS utilising embryo selection software versus TLS with conventional morphological assessment of still TLS images TLS utilising embryo selection software versus conventional incubation and assessment MAIN RESULTS: We included eight RCTs (N = 2303 women). The quality of the evidence ranged from very low to moderate. The main limitations were imprecision and risk of bias associated with lack of blinding of participants and researchers, and indirectness secondary to significant heterogeneity between interventions in some studies. There were no data on cumulative clinical pregnancy.TLS with conventional morphological assessment of still TLS images versus conventional incubation and assessmentThere is no evidence of a difference between the interventions in terms of live birth rates (odds ratio (OR) 0.73, 95% CI 0.47 to 1.13, 2 RCTs, N = 440, I2 = 11% , moderate-quality evidence) and may also be no evidence of difference in miscarriage rates (OR 2.25, 95% CI 0.84 to 6.02, 2 RCTs, N = 440, I2 = 44%, low-quality evidence). The evidence suggests that if the live birth rate associated with conventional incubation and assessment is 33%, the rate with use of TLS with conventional morphological assessment of still TLS images is between 19% and 36%; and that if the miscarriage rate with conventional incubation is 3%, the rate associated with conventional morphological assessment of still TLS images would be between 3% and 18%. There is no evidence of a difference between the interventions in the stillbirth rate (OR 1.00, 95% CI 0.13 to 7.49, 1 RCT, N = 76, low-quality evidence). There is no evidence of a difference between the interventions in clinical pregnancy rates (OR 0.88, 95% CI 0.58 to 1.33, 3 RCTs, N = 489, I2 = 0%, moderate-quality evidence).TLS utilising embryo selection software versus TLS with conventional morphological assessment of still TLS imagesNo data were available on live birth or stillbirth. We are uncertain whether TLS utilising embryo selection software influences miscarriage rates (OR 1.39, 95% CI 0.64 to 3.01, 2 RCTs, N = 463, I2 = 0%, very low-quality evidence) and there may be no difference in clinical pregnancy rates (OR 0.97, 95% CI 0.67 to 1.42, 2 RCTs, N = 463, I2 = 0%, low-quality evidence). The evidence suggests that if the miscarriage rate associated with assessment of still TLS images is 5%, the rate with embryo selection software would be between 3% and 14%.TLS utilising embryo selection software versus conventional incubation and assessmentThere is no evidence of a difference between TLS utilising embryo selection software and conventional incubation improving live birth rates (OR 1.21, 95% CI 0.96 to 1.54, 2 RCTs, N = 1017, I2 = 0%, very low-quality evidence). We are uncertain whether TLS influences miscarriage rates (OR 0.73, 95% CI 0.49 to 1.08, 3 RCTs, N = 1351, I2 = 0%, very low-quality evidence). The evidence suggests that if the live birth rate associated with no TLS is 38%, the rate with use of conventional incubation would be between 36% and 58%, and that if miscarriage rate with conventional incubation is 9%, the rate associated with TLS would be between 4% and 10%. No data on stillbirths were available. It was uncertain whether the intervention influenced clinical pregnancy rates (OR 1.17, 95% CI 0.94 to 1.45, 3 RCTs, N = 1351, I2 = 42%, very low-quality evidence). AUTHORS' CONCLUSIONS There is insufficient evidence of differences in live birth, miscarriage, stillbirth or clinical pregnancy to choose between TLS, with or without embryo selection software, and conventional incubation. The studies were at high risk of bias for randomisation and allocation concealment, the result should be interpreted with extreme caution.
Collapse
Affiliation(s)
- Sarah Armstrong
- University of SheffieldDepartment of Oncology & MetabolismAcademic Unit of Reproductive and Developmental MedicineLevel 4, The Jessop WingSheffieldUKS10 2SF
| | - Priya Bhide
- Homerton University Hospital NHS Foundation TrustHomerton RowHackneyLondonUKE9 6SR
| | - Vanessa Jordan
- University of AucklandDepartment of Obstetrics and GynaecologyPrivate Bag 92019AucklandNew Zealand1003
| | - Allan Pacey
- The University of SheffieldDepartment of Oncology & Metabolism, Academic Unit of Reproductive and Developmental MedicineLevel 4, The Jessop WingSheffieldUKS10 2SF
| | - Cindy Farquhar
- University of AucklandDepartment of Obstetrics and GynaecologyPrivate Bag 92019AucklandNew Zealand1003
| |
Collapse
|
23
|
Time-lapse imaging: clearly useful to both laboratory personnel and patient outcomes versus just because we can doesn't mean we should. Fertil Steril 2018; 109:584-591. [DOI: 10.1016/j.fertnstert.2018.01.042] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 01/29/2018] [Indexed: 11/20/2022]
|
24
|
Response: time-lapse systems for ART. Reprod Biomed Online 2018; 36:290-292. [DOI: 10.1016/j.rbmo.2017.12.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 11/15/2017] [Accepted: 12/15/2017] [Indexed: 11/23/2022]
|
25
|
|
26
|
Barberet J, Chammas J, Bruno C, Valot E, Vuillemin C, Jonval L, Choux C, Sagot P, Soudry A, Fauque P. Randomized controlled trial comparing embryo culture in two incubator systems: G185 K-System versus EmbryoScope. Fertil Steril 2018; 109:302-309.e1. [DOI: 10.1016/j.fertnstert.2017.10.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 09/22/2017] [Accepted: 10/04/2017] [Indexed: 10/18/2022]
|
27
|
Armstrong S, Bhide P, Jordan V, Pacey A, Farquhar C. Time-lapse systems for ART. Reprod Biomed Online 2017; 36:288-289. [PMID: 29398417 DOI: 10.1016/j.rbmo.2017.12.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 12/15/2017] [Indexed: 11/18/2022]
Affiliation(s)
- Sarah Armstrong
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, South Yorkshire, UK.
| | - Priya Bhide
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, South Yorkshire, UK
| | - Vanessa Jordan
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, South Yorkshire, UK
| | - Allan Pacey
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, South Yorkshire, UK
| | - Cynthia Farquhar
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, South Yorkshire, UK
| |
Collapse
|
28
|
Pribenszky C, Nilselid AM, Montag M. Time-lapse culture with morphokinetic embryo selection improves pregnancy and live birth chances and reduces early pregnancy loss: a meta-analysis. Reprod Biomed Online 2017; 35:511-520. [DOI: 10.1016/j.rbmo.2017.06.022] [Citation(s) in RCA: 106] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 06/30/2017] [Accepted: 06/30/2017] [Indexed: 11/30/2022]
|
29
|
Zaninovic N, Irani M, Meseguer M. Assessment of embryo morphology and developmental dynamics by time-lapse microscopy: is there a relation to implantation and ploidy? Fertil Steril 2017; 108:722-729. [DOI: 10.1016/j.fertnstert.2017.10.002] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 10/02/2017] [Indexed: 12/27/2022]
|
30
|
Fishel S, Campbell A, Montgomery S, Smith R, Nice L, Duffy S, Jenner L, Berrisford K, Kellam L, Smith R, D'Cruz I, Beccles A. Live births after embryo selection using morphokinetics versus conventional morphology: a retrospective analysis. Reprod Biomed Online 2017; 35:407-416. [DOI: 10.1016/j.rbmo.2017.06.009] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 06/14/2017] [Accepted: 06/14/2017] [Indexed: 11/16/2022]
|
31
|
Chen M, Wei S, Hu J, Yuan J, Liu F. Does time-lapse imaging have favorable results for embryo incubation and selection compared with conventional methods in clinical in vitro fertilization? A meta-analysis and systematic review of randomized controlled trials. PLoS One 2017; 12:e0178720. [PMID: 28570713 PMCID: PMC5453598 DOI: 10.1371/journal.pone.0178720] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Accepted: 05/17/2017] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE The present study aimed to undertake a review of available evidence assessing whether time-lapse imaging (TLI) has favorable outcomes for embryo incubation and selection compared with conventional methods in clinical in vitro fertilization (IVF). METHODS Using PubMed, EMBASE, Cochrane library and ClinicalTrial.gov up to February 2017 to search for randomized controlled trials (RCTs) comparing TLI versus conventional methods. Both studies randomized women and oocytes were included. For studies randomized women, the primary outcomes were live birth and ongoing pregnancy, the secondary outcomes were clinical pregnancy and miscarriage; for studies randomized oocytes, the primary outcome was blastocyst rate, the secondary outcome was good quality embryo on Day 2/3. Subgroup analysis was conducted based on different incubation and embryo selection between groups. RESULTS Ten RCTs were included, four randomized oocytes and six randomized women. For oocyte-based review, the pool-analysis observed no significant difference between TLI group and control group for blastocyst rate [relative risk (RR) 1.08, 95% CI 0.94-1.25, I2 = 0%, two studies, including 1154 embryos]. The quality of evidence was moderate for all outcomes in oocyte-based review. For woman-based review, only one study provided live birth rate (RR 1,23, 95% CI 1.06-1.44,I2 N/A, one study, including 842 women), the pooled result showed no significant difference in ongoing pregnancy rate (RR 1.04, 95% CI 0.80-1.36, I2 = 59%, four studies, including 1403 women) between two groups. The quality of the evidence was low or very low for all outcomes in woman-based review. CONCLUSIONS Currently there is insufficient evidence to support that TLI is superior to conventional methods for human embryo incubation and selection. In consideration of the limitations and flaws of included studies, more well designed RCTs are still in need to comprehensively evaluate the effectiveness of clinical TLI use.
Collapse
Affiliation(s)
- Minghao Chen
- Reproductive Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Shiyou Wei
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Junyan Hu
- Department of Emergency, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jing Yuan
- School of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Fenghua Liu
- Reproductive Center, Guangdong Women and Children Hospital, Guangzhou, China
| |
Collapse
|
32
|
Ghazal S, Patrizio P. Embryo wastage rates remain high in assisted reproductive technology (ART): a look at the trends from 2004-2013 in the USA. J Assist Reprod Genet 2016; 34:159-166. [PMID: 28028774 DOI: 10.1007/s10815-016-0858-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Accepted: 12/08/2016] [Indexed: 10/20/2022] Open
Abstract
This work examined the trend in "embryo wastage" rates after ART in USA and its relationship to the number of embryos transferred, live born infants delivered across patient age, and the yearly percentage of embryos wasted. The data were obtained from the US-clinics SART databank for the years 2004-2013. A total of 1,808,082 non-donor embryos were transferred in 748,394 fresh cycles resulting in 358,214 liveborn. During the years of analysis, the mean number of embryos transferred has progressively decreased leading to an overall significant decrease in Embryo Wastage rates (83.2 to 76.5%, p < 0.001) while the percentage of transfers leading to a live born increased (24.8 to 27.8%, p = 0.002). Embryo Wastage negatively correlated with percentage of transfers resulting in live birth (p = 0.001), and the average number of embryos transferred positively correlated with the percentage of embryos wasted (p < 0.001). The overwhelming majority of embryos transferred still do not result into a live birth confirming that only few embryos per ART cycle are competent. The overall "Embryo Wastage" rates have consistently decreased from a high of 90% in 1995 to a rate of 76.5% in 2013. Transferring fewer embryos particularly at the blastocyst-stage and improved methods of embryo selection may further decrease "Embryo Wastage" rates.
Collapse
Affiliation(s)
- Sanaz Ghazal
- Yale Fertility Center, Department Obstetric, Gynecology and Reproductive Sciences, Yale School of Medicine, 150 Sargent Drive, New Haven, CT, 06511, USA
| | - Pasquale Patrizio
- Yale Fertility Center, Department Obstetric, Gynecology and Reproductive Sciences, Yale School of Medicine, 150 Sargent Drive, New Haven, CT, 06511, USA.
| |
Collapse
|
33
|
Patrizio P, Silber S. Improving IVF: is there a limit to our ability to manipulate human biology? J Assist Reprod Genet 2016; 34:7-9. [PMID: 27796805 DOI: 10.1007/s10815-016-0828-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 10/09/2016] [Indexed: 11/28/2022] Open
Affiliation(s)
| | - Sherman Silber
- Infertility Center of St. Louis, St. Luke's Hospital, St. Louis, MO, 63017, USA
| |
Collapse
|