Literature DB >> 30763268

Fetal abdominal cysts: antenatal course and postnatal outcomes.

Elisabetta Sanna1,2, Stavros Loukogeorgakis3, Thomas Prior1, Iris Derwig1, Gowrishankar Paramasivam1, Muhammad Choudhry3, Christoph Lees1,4,5.   

Abstract

Background There is little information on which to base the prognostic counselling as to whether an antenatally diagnosed fetal abdominal cyst will grow or shrink, or need surgery. This study aims to provide contemporary data on prenatally diagnosed fetal abdominal cysts in relation to their course and postnatal outcomes. Methods Fetal abdominal cysts diagnosed over 11 years in a single centre were identified. The gestational age at diagnosis and cyst characteristics at each examination were recorded (size, location, echogenity, septation and vascularity) and follow-up data from postnatal visits were collected. Results Eighty abdominal cysts were identified antenatally at 28+4 weeks (range 11+0-38+3). Most (87%) were isolated and the majority were pelvic (52%), simple (87.5%) and avascular (100%). Antenatally, 29% resolved spontaneously; 29% reduced in size; 9% were stable and 33% increased in size. Forty-one percent of cysts under 20 mm diameter increased in size, while only 20% of cysts with a diameter of over 40 mm increased in size. The majority of cysts were ovarian in origin (n=45, 56%), followed by intestinal (n=15, 18%), choledochal (n=3, 4%), liver (n=2, 3%) and renal/adrenal origins (n=2, 3%), respectively. In 16% (n=13), the antenatal diagnosis was not obvious. Seventy-five percent of the cysts that persisted postnatally required surgical intervention. Conclusion Most antenatally diagnosed fetal abdominal cysts were ovarian in origin. Though most disappeared antenatally, nearly three quarters required surgical intervention when present after birth. Cysts of intestinal origin are more difficult to diagnose antenatally and often require surgery.

Entities:  

Keywords:  cystic; pelvic; prenatal; surgery; ultrasound

Year:  2019        PMID: 30763268     DOI: 10.1515/jpm-2018-0311

Source DB:  PubMed          Journal:  J Perinat Med        ISSN: 0300-5577            Impact factor:   1.901


  2 in total

1.  Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography.

Authors:  Md Nazmul Islam; Mehedi Hasan; Md Kabir Hossain; Md Golam Rabiul Alam; Md Zia Uddin; Ahmet Soylu
Journal:  Sci Rep       Date:  2022-07-06       Impact factor: 4.996

Review 2.  Fetal abdominal tumors and cysts.

Authors:  Darrell L Cass
Journal:  Transl Pediatr       Date:  2021-05
  2 in total

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