scholarly journals Microvillus Inclusion Disease: Prenatal Ultrasound Findings, Molecular Diagnosis and Genetic Counseling of Congenital Diarrhea

2010 ◽  
Vol 49 (4) ◽  
pp. 487-494 ◽  
Author(s):  
Chih-Ping Chen ◽  
Ming-Chou Chiang ◽  
Tzu-Hao Wang ◽  
Chuen Hsueh ◽  
Shueen-Dyh Chang ◽  
...  
2008 ◽  
Vol 28 (3) ◽  
pp. 257-258 ◽  
Author(s):  
V. Schwarzer ◽  
D. Haas ◽  
G. F. Hoffmann ◽  
H. Meyberg ◽  
U. Gembruch

2013 ◽  
Vol 97 (12) ◽  
pp. 806-811 ◽  
Author(s):  
Anne Debost-Legrand ◽  
Carole Goumy ◽  
Hélène Laurichesse-Delmas ◽  
Pierre Déchelotte ◽  
Anne-Marie Beaufrère ◽  
...  

2017 ◽  
Vol 06 (02) ◽  
pp. 122-125
Author(s):  
Saurabh Verma ◽  
M. Sridhar ◽  
S. Shashivadhanan ◽  
Manish Garg

AbstractIt is a rare and underdiagnosed entity. The adagium “one only sees what one knows” is certainly true in cases of Blake's pouch cyst, as all types of posterior fossa cysts and cyst-like malformations may present nearly identical on initial imaging studies. Only one case of Blake's pouch cyst has been reported from this country, except for a case in utero, in which a diagnosis of Blake's pouch cyst was made on prenatal ultrasound and later confirmed by MRI. In this report we describe a case of Blake's pouch cyst in a 9-month-old male child along with the principles of diagnosis of Blake's pouch cyst, in combination with literature review. Differentiating Blake's pouch cyst from other posterior fossa cysts and cyst-like malformations and recognizing the accompanying hydrocephalus that are essentially noncommunicating have important implications not only on clinical management but also on genetic counseling, which is unnecessary in case of Blake's pouch cyst.


1997 ◽  
Vol 10 (2) ◽  
pp. 140-141 ◽  
Author(s):  
J. G. van der Stege ◽  
H. L. M. van Straaten ◽  
A. C. van der Walt ◽  
J. van Eyck

2019 ◽  
Vol 30 (01) ◽  
pp. 051-058
Author(s):  
Keita Terui ◽  
Kouji Nagata ◽  
Masahiro Hayakawa ◽  
Hiroomi Okuyama ◽  
Shoichirou Amari ◽  
...  

Abstract Introduction We aimed to establish and validate a risk score for fetuses with congenital diaphragmatic hernia (CDH) using only prenatal ultrasound findings. Material and Methods Derivation (2011–2016, n = 350) and validation (2006–2010, n = 270) cohorts were obtained from a Japanese CDH study group database. Using a logistic regression analysis, we created a prediction model and weighted scoring system from the derivation dataset and calculated the odds ratio of an unsatisfactory prognosis (death within 90 days of life or hospitalization duration exceeding 180 days). Five adverse prognostic factors obtained using prenatal ultrasound, including an observed/expected lung area-to-head circumference ratio (o/eLHR) <25%, liver herniation occupying more than one-third of the thoracic space, thoracic stomach, right-side CDH, and severe malformations, were used as predictors. The obtained model was validated using the validation cohort. Results The unsatisfactory prognosis prediction model was obtained based on the adjusted odds ratios. The C statistics of the model were 0.83 and 0.80 in the derivation and validation datasets, respectively. The five variables were weighted proportionally to their adjusted odds ratios for an unsatisfactory prognosis (o/eLHR <25%, 1 point; liver herniation occupying more than one-third of the thoracic space, 1 point; thoracic stomach, 1 point; right-side CDH, 2 points; and severe malformations, 3 points). Unsatisfactory prognosis rates for the low- (0–2 points), intermediate- (3–5 points), and high-risk (6–8 points) groups were 17, 46, and 100%, respectively (p < 0.001), in the validation cohort. Conclusion Our simple risk score effectively predicted the prognosis of fetuses with CDH.


2002 ◽  
Vol 17 (4) ◽  
pp. 236-239 ◽  
Author(s):  
Chantal Farra ◽  
Caroline Piquet ◽  
Marc Guillaume ◽  
Claude D’Ercole ◽  
Nicole Philip

1996 ◽  
Vol 16 (2) ◽  
pp. 173-179 ◽  
Author(s):  
MICHAEL NORGARD ◽  
JEROME YANKOWITZ ◽  
WILLIAM RHEAD ◽  
ADAM B. KANIS ◽  
BRYAN D. HALL

2010 ◽  
Vol 36 (5) ◽  
pp. 652-653 ◽  
Author(s):  
A. J. Chu ◽  
J. Y. Cho ◽  
S. H. Kim ◽  
J. K. Jun

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