Dataset:
Understanding the role of cytoplasmic strings in human blastocysts: a detailed analysis of 1152 blastocysts
Understanding the role of cytoplasmic strings in human blastocysts: a detailed analysis of 1152 blastocysts
| dc.contributor.other | Venetis, Christos | |
| dc.contributor.other | Chapman, Michael | |
| dc.contributor.other | Cooke, Simon | |
| dc.coverage.spatial | Newcastle, NSW Australia | |
| dc.date.accessioned | 2022-09-23T05:41:34Z | |
| dc.date.available | 2022-09-23T05:41:34Z | |
| dc.date.issued | 2022-09-21 | |
| dc.date.submitted | 2022-09-21T04:07:55Z | |
| dc.description.abstract | 1152 human blastocysts from 225 patients undergoing IVF and ICSI. Cultured in an Embryoscope+ assessed for CS using the timelapse images. Excel spreadsheet | |
| dc.identifier.uri | http://hdl.handle.net/1959.4/100660 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.rights | CC-BY | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.other | cytoplasmic strings | |
| dc.subject.other | blasotcyst | |
| dc.subject.other | embryo development | |
| dc.subject.other | ultrastructure | |
| dc.subject.other | time-lapse | |
| dc.title | Understanding the role of cytoplasmic strings in human blastocysts: a detailed analysis of 1152 blastocysts | |
| dc.type | Dataset | |
| dcterms.accessRights | open access | |
| dcterms.accrualMethod | This two-Centre cohort study was performed between July 2017 and September 2018 and involved total of 1152 blastocysts from 225 patients undergoing IVF and ICSI. All embryos were cultured in Embryoscope+ and were assessed for CS using the timelapse images. A single assessor examined all blastocysts and reviewed videos using the EmbyroViewer® Software. Blastocyst quality was assessed on day 5 of embryo development. The number of CS, location and duration of their activity was recorded on days 5 and 6. All statistical analyses were performed with STATA (v.14.2, StataCorp, USA) and statistical significance was set at p≤0.05. Logistic regression models using the generalized estimating equations framework were used to estimate the odds ratio (OR) with a 95% confidence interval (CI) and P values. Adjustment for potential confounders was performed. | |
| dcterms.rightsHolder | UNSW | |
| dspace.entity.type | Dataset | |
| unsw.accessRights.uri | https://purl.org/coar/access_right/c_abf2 | |
| unsw.contributor.corporate | IVFAustralia | |
| unsw.contributor.researchDataCreator | Eastick, Jessica | |
| unsw.coverage.temporalFrom | 2017-07-01 | |
| unsw.coverage.temporalText | Modern day | |
| unsw.coverage.temporalTo | 2018-09-01 | |
| unsw.date.workflow | 2022-09-23 | |
| unsw.identifier.doi | https://doi.org/10.26190/unsworks/24367 | |
| unsw.isDatasetRelatedToDataset | Is early embryo development as observed by time-lapse microscopy dependent on whether fresh or frozen sperm was used for ICSI? A cohort study | |
| unsw.isDatasetRelatedToDataset | The presence of cytoplasmic strings in human blastocysts is associated with the probability of clinical pregnancy with fetal heart | |
| unsw.isDatasetRelatedToDataset | Inter- and Intra-observer agreement between embryologists for cytoplasmic string assessment in day 5/6 human blastocysts | |
| unsw.isPublicationRelatedToDataset | Cytoplasmic strings as potential markers of embryo development and clinical outcome. | |
| unsw.relation.faculty | Medicine & Health | |
| unsw.relation.school | School of Clinical Medicine | |
| unsw.relation.school | Centre for Big Data Research in Health | |
| unsw.relation.school | School of Clinical Medicine | |
| unsw.relation.school | School of Clinical Medicine | |
| unsw.subject.SEOcode | 2001 Clinical health | |
| unsw.subject.fieldofresearchcode | 32 BIOMEDICAL AND CLINICAL SCIENCES | |
| unsw.subject.fieldofresearchcode | 3215 Reproductive medicine | |
| unsw.subject.fieldofresearchcode | 321503 Reproduction |