PASIMAT: Automatic Measure of PASI

Psoriasis is a chronic inflammatory skin condition resulting in a significant impact on patients' quality of life. To quantify the severity of psoriasis in a consistent and clinically meaningful way is important in order to decide the therapeutic orientation to take for the patient. PASI (Psoriasis Area and Severity Index) scoring is recognised as gold standard for psoriasis assessment. However the measure of the PASI score is very complex. Given this complexity, the PASI is influenced by inter and intra-rater variation. In addition the PASI assessment process is time consuming. The bodystudio ATBM (Automatic Total Body Mapping) is a high-tech system performing standardized photos from head to feet and from all angles, which allows to map the entire skin covering all the human body in a few minutes. The mapping of the entire body is automatically done by the use of a digital camera performing 20 pictures of the patient with 8 successive positions. The system is coupled to a software of automatic analysis of these pictures for the measure of the PASI score. The primary objective of this study would be to evaluate the ability of the bodystudio ATBM to calculate the PASI score of patients with psoriasis

Inclusion criteria

• Age >= 18 years old
• Subject is affiliated to a National Health System at screening visit
• Understand and sign an Informed Consent Form (ICF) at screening, prior to any investigational procedures being performed.
• Patient with moderate to severe Plaque psoriasis.
• The patient is willing and able to be evaluated by the Bodystudio ATBM: 3 minutes for a young patient and until 7 minutes for an oldest.
• The patient is able to staying up during all the total body mapping procedure

Exclusion criteria

• The subject is vulnerable (such as deprived from freedom) as defined in Section 1.61 of International Conference on Harmonisation (ICH) Guideline for Good Clinical Practice (GCP).
• Pregnant woman or who are breast-feeding
• Patient with tattoos that could influence the PASI assessment.
• Patient with skin type (phototype) V or IV according to Fitzpatrick classification
• Male patients with exceeding facial or skin hair that could influence the automatic PASI assessment.
• Patients with exceeding varicose veins.
• Patients with sun burn