Literature DB >> 20499405

Frequency and cause of disagreements in imaging diagnosis in children with ventriculomegaly diagnosed prenatally.

G M Senapati1, D Levine, C Smith, J A Estroff, C E Barnewolt, R L Robertson, T Y Poussaint, T S Mehta, X Q Werdich, D Pier, H A Feldman, C D Robson.   

Abstract

OBJECTIVES: To assess the frequency and cause of variability in diagnosis on cranial sonography and magnetic resonance imaging (MRI) in children referred following prenatal diagnosis of ventriculomegaly.
METHODS: Between 19 September 2003 and 16 March 2007, 119 infants with ultrasound and/or MRI studies performed within 13 months (median, 6 days) after birth, following prenatal referral for ventriculomegaly, were studied prospectively. There were 97 infants with ultrasound results and 53 with MRI, including 31 with both. Three sonologists and three pediatric neuroradiologists interpreted the postnatal ultrasound and MRI findings, blinded to prenatal diagnosis, and a final consensus diagnosis or group of diagnoses was obtained. Ventricular sizes as well as types of and reasons for any disagreement in diagnosis were recorded. Disagreements on a per patient basis were categorized as being major when they crossed diagnostic categories and had the potential to change patient counseling. Postnatal and prenatal diagnoses were compared.
RESULTS: There was prospective agreement on 42/97 (43%) ultrasound and on 9/53 (17%) MRI readings. Prospective consensus was more likely when the number of central nervous system (CNS) anomalies was lower (P < 0.001 and P = 0.002 for ultrasound and MRI, respectively). In 24/55 (44%) ultrasound and 11/44 (25%) MRI examinations with disagreement in diagnosis, there was disagreement concerning the presence of ventriculomegaly. In 22/97 (23%) ultrasound studies and 22/53 (42%) MRI studies the disagreements were potentially important. Reasons for discrepancies in the reporting of major findings included errors of observation as well as modality differences in depiction of abnormalities. In comparing prenatal with postnatal diagnoses, there were 11/97 (11%) ultrasound and 27/53 (51%) MRI examinations with newly detected major findings, the most common being migrational abnormalities, callosal dysgenesis/destruction and interval development of hemorrhage.
CONCLUSION: Variability in postnatal CNS diagnosis is common after a prenatal diagnosis of ventriculomegaly. This is due in part to a lack of standardization in the definition of postnatal ventriculomegaly.
Copyright © 2010 ISUOG. Published by John Wiley & Sons, Ltd.

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Year:  2010        PMID: 20499405      PMCID: PMC2965802          DOI: 10.1002/uog.7680

Source DB:  PubMed          Journal:  Ultrasound Obstet Gynecol        ISSN: 0960-7692            Impact factor:   7.299


  30 in total

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2.  Sonographic evaluation of the normal developmental anatomy of fetal cerebral ventricles. IV.: The posterior horn.

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Authors:  J D Reeder; J V Kaude; E S Setzer
Journal:  Eur J Radiol       Date:  1983-05       Impact factor: 3.528

8.  Mild fetal lateral cerebral ventriculomegaly: clinical course and outcome.

Authors:  B Bromley; F D Frigoletto; B R Benacerraf
Journal:  Am J Obstet Gynecol       Date:  1991-03       Impact factor: 8.661

9.  Measurement of ventricular size in term and preterm infants.

Authors:  J P Soni; R U Singhania; A Sharma
Journal:  Indian Pediatr       Date:  1992-01       Impact factor: 1.411

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Authors:  M D Patel; A L Filly; D R Hersh; R B Goldstein
Journal:  Radiology       Date:  1994-09       Impact factor: 11.105

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  11 in total

1.  Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.

Authors:  V Bolón-Canedo; E Ataer-Cansizoglu; D Erdogmus; J Kalpathy-Cramer; O Fontenla-Romero; A Alonso-Betanzos; M F Chiang
Journal:  Comput Methods Programs Biomed       Date:  2015-06-16       Impact factor: 5.428

Review 2.  MRI of the Fetal Brain.

Authors:  C Weisstanner; G Kasprian; G M Gruber; P C Brugger; D Prayer
Journal:  Clin Neuroradiol       Date:  2015-06-11       Impact factor: 3.649

3.  Callosal dysgenesis in fetuses with ventriculomegaly: levels of agreement between imaging modalities and postnatal outcome.

Authors:  Y Li; J A Estroff; O Khwaja; T S Mehta; T Y Poussaint; C D Robson; H A Feldman; J Ware; D Levine
Journal:  Ultrasound Obstet Gynecol       Date:  2012-11       Impact factor: 7.299

4.  Ultrasound and MRI of fetuses with ventriculomegaly: can cortical development be used to predict postnatal outcome?

Authors:  Yi Li; Judy A Estroff; Tejas S Mehta; Richard L Robertson; Caroline D Robson; Tina Y Poussaint; Henry A Feldman; Janet Ware; Deborah Levine
Journal:  AJR Am J Roentgenol       Date:  2011-06       Impact factor: 3.959

5.  Prenatal-postnatal correlations of brain abnormalities: how lesions and diagnoses change over time.

Authors:  Gunjan Senapati; Deborah Levine
Journal:  J Pediatr Neuroradiol       Date:  2012-07-01

6.  Malformations of cortical development: diagnostic accuracy of fetal MR imaging.

Authors:  Orit A Glenn; Addison A Cuneo; A James Barkovich; Zary Hashemi; Agnes I Bartha; Duan Xu
Journal:  Radiology       Date:  2012-04-10       Impact factor: 11.105

7.  3D Super-Resolution Motion-Corrected MRI: Validation of Fetal Posterior Fossa Measurements.

Authors:  Danielle B Pier; Ali Gholipour; Onur Afacan; Clemente Velasco-Annis; Sean Clancy; Kush Kapur; Judy A Estroff; Simon K Warfield
Journal:  J Neuroimaging       Date:  2016-03-18       Impact factor: 2.486

8.  Temporal and occipital lobe features in children with hypochondroplasia/FGFR3 gene mutation.

Authors:  Cristina M Philpott; Elysa Widjaja; Charles Raybaud; Helen M Branson; Peter Kannu; Susan Blaser
Journal:  Pediatr Radiol       Date:  2013-05-07

9.  Formation of the calcarine sulcus: a potential marker to predict the progression in utero of isolated mild fetal ventriculomegaly.

Authors:  Hehong Li; Guangjian Liu; Fangqin Lin; Huiying Liang
Journal:  Medicine (Baltimore)       Date:  2017-07       Impact factor: 1.889

10.  Fetal MRI versus postnatal imaging in the MR-compatible incubator.

Authors:  Monika Bekiesinska-Figatowska; Anna Romaniuk-Doroszewska; Agnieszka Duczkowska; Marek Duczkowski; Beata Iwanowska; Sylwia Szkudlińska-Pawlak
Journal:  Radiol Med       Date:  2016-06-02       Impact factor: 3.469

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