The chromosome analysis of the miscarriage tissue. Miscarried embryo/fetal crown rump length (CRL) measurement: A practical use

Silvia D'Ippolito, Nicoletta Di Simone, Daniela Orteschi, Maria Grazia Pomponi, Maurizio Genuardi, Leuconoe Grazia Sisti, Roberta Castellani, Esther Rossi, Giovanni Scambia, Marcella Zollino

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1 Citazioni (Scopus)

Abstract

Objective To investigate whether miscarried embryo/fetal crown rump length (CRL) measurement may yield a practical application for predicting a conclusive result at the cytogenetic analysis of miscarriage tissue. Our study might help in improving the cytogenetic method, the results of which may be affected by maternal cell contamination (MCC). In particular, we aimed at establishing whether the miscarried embryo/fetal CRL measurement shows accuracy in predicting the possibility of MCC and the scan cut-off value useful to this purpose and, as a result, suggest a multi-step procedure for the genetic ascertainment. Methods Women experiencing at least two miscarriages of less than 20 weeks size at the Pregnancy Loss Unit at Fondazione Policlinico A. Gemelli underwent a scan before surgery. The CRL value was recorded. After the dilatation and courettage (D&C) procedure, miscarriage tissue was processed through the proposed multi-step procedure before performing oligo-nucleotide- based and SNP (single nucleotide polymorphisms)-based comparative genomic hybridization (CGH+SNP) microarray analysis. Results 63 women and 63 miscarriages met the criteria. By using the Receiving Operator Characteristic (ROC) curves, CRL showed an AUC of 0.816 (95%CI:0.703±0.928,p<0.001). A CRL24.5 mm cut-off value showed a higher positive likelihood ratio (5.27) but, conversely, a higher negative likelihood ratio (0.64) in predicting the possibility of MCC. Microarray analysis was successful in the totality of cases in which the embryo/fetal origin of miscarriage tissues was proven.
Lingua originaleEnglish
pagine (da-a)1-11
Numero di pagine11
RivistaPLoS One
DOI
Stato di pubblicazionePubblicato - 2017

Keywords

  • chromosome analysis

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