part of our site is an overview of a number of common
anomalies. The text has been written by Ann
Tonks (Project Manager) and Mike
Wyldes (Consultant Obstetrician & Gynaecologist).
Ann Tonks is the Anomaly Specialist at the Perinatal
Institute with a background in Engineering Mathematics,
Medical Audit and Epidemiology. Her role covers managing
the West Midlands Congenital Anomaly Register and supporting
the Regional Ultrasound Group and Antenatal Screening
Programmes. Ann has been working in the field of Perinatal
Medicine since 1993.
Mike Wyldes is a Consultant Obstetrician at Heartlands
and Solihull Hospitals. He has been the convenor and
secretary to the Regional Ultrasound Group since 1994
and was the Clinical Lead for the West Midlands Congenital
Anomaly Register until 2009.
The Clinical Lead for the West Midlands Congenital
Anomaly Register is Adam Gornall. He is a Consultant
in Fetomaternal Medicine at Shrewsbury and Telford Hospital.
The aim of this section is to give information relating
to these anomalies, to provide a background to incidence
rates etc presented from the West Midlands Regional
Congenital Anomaly Register. This information is written
in a “plain English” style so it should
be accessible to anyone, but it is more directed at
advising health professionals about the possible problems
of certain conditions, and may not be applicable to
individual cases. If you are a parent, or have recently
been diagnosed as carrying a baby with a problem we
hope that this information will be of use to you. For
more specific information we recommend the Antenatal
Results and Choices organisation who are a charity
dedicated to supporting parents through the extremely
difficult time surrounding the diagnosis of a baby with
Although many conditions can be diagnosed during pregnancy
using ultrasound scanning, there are at least 50% of
serious congenital problems which remain undiagnosed
during pregnancy, and a normal scan, although reassuring
does not guarantee the absence of a congenital anomaly.
Click on a link for clinical background
local data about an anomaly group.