| Literature DB >> 34943470 |
Laura Ruzzini1, Sergio De Salvatore2, Umile Giuseppe Longo2, Martina Marino2, Alessandra Greco2, Ilaria Piergentili2, Pier Francesco Costici1, Vincenzo Denaro2.
Abstract
The primary methods for prenatal diagnosis of Clubfoot are ultrasound (US) and magnetic resonance imaging (MRI). An ultrasound is performed between the 1st trimester and the 28th week of pregnancy and it is reported to be used as a diagnostic method alone or in combination with MRI. So far, an international consensus on the most effective screening method has not been reached. This systematic review and meta-analysis were performed to establish the most effective and reliable exam for prenatal diagnosis of Clubfoot. The literature search was conducted using a PIOS-approach from May 2021 to June 2021. Studies reporting cases of prenatal diagnosis of Clubfoot made through US and MRI conducted from January 2010 to June 2021 were included in the study and reviewed by 2 authors. The 23 selected studies included 2318 patients. A total of 11 of the studies included details on the accuracy, while the rest were used to obtain information about the primary methodology utilized. In all the selected studies, US was used as the primary diagnostic instrument. Thirteen of the studies used the US exclusively, while three used MRI in addition to US and seven performed karyotyping after US diagnosis. The US has been shown to be the instrument of choice for the prenatal diagnosis of Clubfoot. International guidelines for an ultrasonography classification of congenital clubfoot are required to reduce the inter-variability accuracy of this procedure.Entities:
Keywords: CTEV; MRI; US; amniocentesis; clubfoot; congenital talipes equinovarus; karyotyping; magnetic resonance imaging; ultrasound
Year: 2021 PMID: 34943470 PMCID: PMC8700252 DOI: 10.3390/diagnostics11122235
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Primary author, year of publication, country, type of study, level of evidence (LOE), sample size, diagnosis, accuracy, sex, type of diagnosis and timing of the studies included.
| Author, Year | Country | Type of Study, Level of Evidence | Sample Size | Diagnosis | Accuracy (%) | Sex (F/M) | Diagnosis | Timing | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Imaging | Genetic | ||||||||||
| MRI ( | US ( | A | Other ( | ||||||||
| Razavi, 2019 [ | Germany | Retrospective Comparative Study, III | * | 84 | 51/84 | 29/55 | - | x | - | - | - |
| Nemec, 2012 [ | Austria, USA | Retrospective Study, III | - | 44 | - | - | X $ | x | - | - | - |
| Farr, 2020 [ | Austria | Retrospective Cohort Study, III | 104 | 56 | - | - | - | x | - | - | Mean: |
| Ficara, 2019 [ | UK | Prospective Comparative Study, II | 52,400 | 61 | - | - | - | x | - | - | T1 and T2 (60) |
| Gat, 2016 [ | Israel | Retrospective Study, III | 28 | 12 | - | - | x (14) | x | - | - | - |
| Glotzbecker, 2010 [ | USA | Retrospective Study, III | - | 107 of which: | 67/83 | - | - | x | - | - | - |
| Glotzbecker, 2013 [ | USA | Prospective Study, I | - | 50 | 36/50 | - | - | x | - | - | - |
| Hartge, 2012 [ | Germany | Retrospective Study, III | 106, survived: 55 | 55 | 37/55 | - | - | x | - | - | - |
| Lanna, 2020 [ | Italy | Retrospective Cohort Study, III | 64 | 53 | 45/53 | - | - | x | X | - | T2 |
| Lauson, 2010 [ | Canada | Retrospective Study, III | - | 65 | 55/65 | - | - | x | x (41) | - | - |
| Mahan, 2014 [ | USA | Retrospective Study, III | - | 421 | - | - | x | - | - | - | |
| Pullinger, 2014 [ | UK | Retrospective Comparative Study, III | - | 74 of which: | 30/37 | - | - | x | - | - | Between Weeks 18 and 20 |
| Radler, 2011 [ | Austria, USA | Retrospective Study, III | - | 92 | - | - | - | x | - | - | - |
| Rosselli, 2015 [ | Colombia | Descriptive, Retrospective Study, III | - | 61 | - | - | - | x | x (13) | - | T1 (8), T2 (38) |
| Seravalli, 2014 [ | Italy | Descriptive Analysis | 168 | - | - | - | - | x | - | - | - |
| Servaes, 2010 [ | USA | Prospective Study, I | 13 | - | - | - | X $ | x | - | - | Weeks 19–28 |
| Sharma, 2011 [ | UK | Retrospective Observational Study, III | 174 | - | - | - | - | x | - | - | Week 21 |
| Sharon-Weiner, 2017 [ | Israel | Retrospective Study, III | 109 (51 bilateral; 58 unilateral) | 91 | 65/91 | - | - | x | x | CVS | Weeks 14–16 or 21–24 |
| Shi, 2018 [ | China | Retrospective Study, III | 4080 | 51 | 49/51 | - | - | x | - | - | Weeks 12–14 |
| Singer, 2020 [ | Israel | Retrospective Cohort Study, III | 5750 | 269 | - | - | - | x | x (Karyotyping and CMA, 229) | - | Mean: |
| Sucu, 2020 [ | Turkey | Retrospective Cohort Study, III | 7680 | 138 | 126/138 | 43/83 (Diagnosis) | - | x | x (83) | - | T1 (10) and T2 (128) |
| Syngelaki, 2019 [ | UK | Retrospective Cohort Study, III | 101,793 | 89 | - | - | - | x | - | - | T1 (2), |
| Viaris de le Segno, 2014 [ | France | Retrospective Study, III | 90 | 90/90 | - | - | x | x (78) | - | Median: Week 23 | |
F: Females; MRI: Magnetic Resonance Imaging; US: Ultrasound; A: Amniocentesis; * All Pregnancies scanned (ultrasound) at their institution from 2002 to 2014; $: MRI confirmed ultrasound diagnosis; FP: False Positive; CVS: Chrionic Villus Sampling; T1, T2. T3: Trimester 1, 2, 3.
Primary author, year of publication and associated pathologies of the studies included.
| Author, Year | Associated Pathology |
|---|---|
| Lauson, 2010 [ | Developmental Delay, Symptomatic Epilepsy, Thin corpus callosum, Visual inattentiveness, Peroneal Nerve Palsy, Low weight gain, Mild |
| Sharma, 2011 [ | Brain, Heart, and Skeletal structural abnormalities, Hydramnios, Spina Bifida. |
| Singer, 2020 [ | Chromosomal Aberrations, |
| Sucu, 2020 [ | Trisomies: 13, 18, 21, |
| Viaris de le Segno, 2014 [ | 47, XY 1 18 ( |
CNV: Copy Number Variation.
Figure 1PRISMA flow diagram for studies selection.
Figure 2The risk of bias assessments for NRCTs studies with ROBINS-I Diagram.
Figure 3The forest plot of the accuracy rate in the “Genetic” and “Imaging” groups.