The short arm of chromosome 16 and especially the region 16p13.11 is a chromosome region where many structural variants, especially deletions and duplications, can be observed. Although deletions of this region are clinically well defined, duplications are rare, and so far, there is no established clinical consensus in regard with its clinical picture, and especially the dysmorphic perspective of the disease is far from being clear. A 5-year-and-2-month-old patient who presented with epilepsy, autism and late speech onset complaints was evaluated in our genetics department. On physical examination, unilateral preauricular skin tag and upslanting palpebral fissures were noted. Microarray analysis was performed and reported as ([hg19]: 16p13.11 (14.897.804-16.730.375) x3). The literature review revealed only a few reports about the syndrome, but some dysmorphological findings appear to recur in different reports, which enables a possible characterization. Dysmorphic findings were discussed.

Here we provide a literature review of all the methods reported to date for analyzing 2D pictures for diagnostic purposes. Pubmed was used to screen the MEDLINE database using MeSH (Medical Subject Heading) terms and keyworks. The different recognition steps and the main results were reported. All human studies involving 2D facial photographs used to diagnose one or several conditions in healthy populations or in patients were included. We included 1515 articles and 27 publications were finally retained. 67% of the articles aimed at diagnosing one particular syndrome versus healthy controls and 33% aimed at performing multi-class syndrome recognition. Data volume varied from 15 to 17,106 patient pictures. Manual or automatic landmarks were one of the most commonly used tools in order to extract morphological information from images, in 22/27 (81%) publications. Geometrical features were extracted from landmarks based on Procrustes superimposition in 4/27 (15%). Textural features were extracted in 19/27 (70%) publications. Features were then classified using machine learning methods in 89% of publications, while deep learning methods were used in 11%. Facial recognition tools were generally successful in identifying rare conditions in dysmorphic patients, with comparable or higher recognition accuracy than clinical experts.

Pai Syndrome is a rare congenital malformation syndrome of unknown cause with hypertelorism, midline cleft lip, nasal and facial polyps, ocular anomalies and the presence of distinctive lipomas adjacent to the corpus callosum. Herein, we present an infant girl with Pai Syndrome diagnosed in the first week of life with typical facial findings and associated pericallosal lipoma identified on cranial ultrasound and brain MRI. These typical features identified included median cleft of the upper lip (in her case as a forme fruste) with a cleft alveolus and a mid-anterior alveolar process congenital polyp. In addition to these findings there was mild hypertelorism and an ocular abnormality on the right eye. An ophthalmology assessment on day 5 identified the ocular lesion as a limbal dermoid. Several ocular anomalies have been reported in association with Pai Syndrome, however, dermoids have not been frequently described in this Syndrome and not before in a limbal location. Increasing identification of previously unreported ocular abnormalities in Pai Syndrome may improve diagnosis and may prove useful in future work attempting to elucidate the aetiology of this rare syndrome.

The fetal alcohol spectrum of disorders (FASD) includes four diagnostic categories for the clinical consequences of prenatal alcohol exposure (PAE) in the unborn child. Physical features are necessary for the diagnosis of the fetal alcohol syndrome (FAS) and partial pFAS. Moreover, these features are specific and a diagnosis of FAS can be made even in the absence of knowledge of PAE. Not only growth deficits, microcephaly and the 3 facial features (short palpebral fissures, smooth philtrum and narrow vermillion of the upper lip) are characteristic, since other dysmorphic features particularly in the hands are key to the recognition of FAS. Most features can be explained by the damage to the brain during pregnancy and can be replicated in animal models. Many different diagnostic guidelines are used for the diagnosis of FASD and the physical features are considered differently in each of them. There is a need for universal clinical criteria for the diagnosis of FASD if our goal is to favor universal recognition.