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Interrelationship between Ultrasonography and Biology in the Diagnosis of Polycystic Ovarian Syndrome
Author(s) -
DEWAILLY D.,
DUHAMEL A.,
ROBERT Y.,
ARDAENS Y.,
BEUSCART R.,
LEMAITRE L.,
FOSSATI P.
Publication year - 1993
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.1993.tb43867.x
Subject(s) - humanities , ultrasonography , library science , gynecology , medicine , art , computer science , surgery
In order to compare the diagnostic significance of hormonal and ultrasonic criteria of polycystic ovarian syndrome (PCOS), the presence or the absence of ultrasonographic and hormonal features of PCOS were recorded in a heterogeneous population of 90 women presenting with hyperandrogenism and/or menstrual disorders. On clinical and hormonal grounds exclusively, these patients could be separated into five diagnostic subgroups: presumed cases of PCOS (n = 21), idiopathic hirsutism (IH) (n = 26), hypothalamic anovulation (HA) (n = 11), hyperprolactinemia (HPRL) (n = 9), and miscellaneous or undetermined diagnosis (n = 23). By the means of a computed automatic classification of patients (cluster analysis) using five hormonal and ultrasonic criteria of PCOS, four homogeneous clusters of patients were obtained. Cluster #1 (25 patients) had the most characteristic profile of PCOS. It included 15 cases of PCOS and 7 cases of IH. Cluster #4 (47 patients) had the less characteristic profile of PCOS. It included the majority of patients with HA and HPRL and the half of the patients with IH. Cluster #2 included only two hyperandrogenic patients, who were massively obese and in whom ultrasonography may have failed to detect PCOS. Cluster #3 (16 patients) included patients from each diagnostic group, who were gathered together because ultrasonographic and hormonal features were, respectively, present and absent in nearly all of them. With the same analysis, the criteria of PCOS could be graded according to their grouping potential. The presence of an abnormal ovarian stroma by ultrasonography appeared as the most potent criterion. Elevated serum testosterone and androstenedione levels and the polyfollicular pattern of ovaries gave intermediate results, while elevated basal LH level was a much weaker grouping parameter. In conclusion, the automatic classification of patients by cluster analysis using both hormonal and ultrasonographic criteria revealed that the classical diagnostic classification, relying upon hormonal data exclusively, may arbitrarily separate patients having the same disease; and that ultrasonography affords pertinent information that should help provide a better diagnostic definition of PCOS.