Due to their prevalence and clinical importance, a reliable classification system seems to be extremely useful for their management; effective categorization enables more effective diagnosis and treatment as well as a better understanding of their pathogenesis [14].
Due to their prevalence and clinical importance, a reliable classification system seems to be extremely useful for their management; effective categorization enables more effective diagnosis and treatment as well as a better understanding of their pathogenesis (Grimbizis and Campo, 2010).
The validity of the current classification systems in effective categorization of the female genital malformations has been already challenged.
The need for a new updated classification has been already underlined since currently available systems are associated with various limitations in effective categorization of the anomalies.
Although the AFS classification received wide acceptance and it is still the most broadly used system, it is associated with various limitations in effective categorization of the anomalies.
Although each proposal does not have the same acceptance, with that of the AFS classification system to be higher than the others, all of them seem to be associated with serious limitations in terms of effective categorization of the anomalies, clinical usefulness, simplicity and friendliness [14].
Until now, the more accepted classification system, namely that of the AFS, is associated with serious limitations in effective categorization of female genital anomalies.
Deriving prognostic data from 18-FDG PET/CT is currently thought to reside in effective categorization of patient response to treatment.
An assay such as peripheral OPN, which may quickly and easily determine that a patient with SLE is at higher risk for worse outcome, could lead to more effective categorization of patients in clinical practice.
Although each proposal does not have the same acceptance, with that of the AFS classification system to be higher than the others, all of them seem to be associated with serious limitations in terms of effective categorization of the anomalies, clinical usefulness, simplicity and friendliness (Grimbizis and Campo, 2010).
The new ESHRE/ESGE classification system may overcome the limits of the previous classification systems, providing an effective and comprehensive categorization of almost all the currently known anomalies of the female genital tract.
