SPERM MORPHOLOGY - ASSESSING THE AGREEMENT BETWEEN THE MANUAL METHOD (STRICT CRITERIA) AND THE SPERM MORPHOLOGY ANALYZER IVOS

Citation
Tf. Kruger et al., SPERM MORPHOLOGY - ASSESSING THE AGREEMENT BETWEEN THE MANUAL METHOD (STRICT CRITERIA) AND THE SPERM MORPHOLOGY ANALYZER IVOS, Fertility and sterility, 63(1), 1995, pp. 134-141
Citations number
19
Categorie Soggetti
Obsetric & Gynecology
Journal title
ISSN journal
00150282
Volume
63
Issue
1
Year of publication
1995
Pages
134 - 141
Database
ISI
SICI code
0015-0282(1995)63:1<134:SM-ATA>2.0.ZU;2-A
Abstract
Objectives: To correlate the percentage normal morphology reported by different observers and a computerized method (IVOS; Hamilton-Thorne R esearch, Beverly, MA) on a slide-by-slide basis using strict criteria: [1] Experienced observer (T.F.K.) versus experienced observer (R.M.), [2] experienced observer (T.F.K.) versus sperm morphology analyzer (I VOS), and [3] repeatability of normal and abnormal cells (IVOS). Desig n, Setting, Patients: Slides from 30 different patients from the Tyger berg IVF program were selected randomly. Microscopic fields and sperm cells were chosen randomly and percent normal morphology was recorded (objectives 1 and 2). The same slides were used and a cell-by-cell rep eatability was done as outlined (objective 3). Results: Experiment 1 ( objective 1): there was no significant bias between T.F.K. and R.M. Th e limits of agreement were 8.6% and -7.3%. The SDs were not significan tly different (P = 0.1283). The Spearman correlation coefficient betwe en readers was 0.83. Experiment 2 (objective 2): the same findings wer e reported but the limits of agreement were 12.1% and -15.5%. The Spea rman correlation coefficient was 0.85. The limits of agreement was tig hter below 20% normal forms (+8.4 and -6.6). Experiment 3 (objective 3 ) (repeatability): 255 cells were analyzed three times in succession. Estimating pairwise agreement, the kappa statistic for the pairs are 0 .85, 0.80, and 0.85, respectively, which compares favorably with the s econd canonical moment of 0.8329 (kappa = 0.83). Discussion: The compu ter's ability to classify normal morphology per slide is promising. Be low 20% normal forms, the limit of agreement is tight. Because of the 6% higher reading compared with the manual method, different threshold s possibly will be developed to identify subfertile from fertile patie nts. The computer gives excellent repeatability of normal and abnormal cells. Based on results obtained, this system can be of clinical valu e both in IVF units and andrology laboratories but more clinical data is required in this field.