Polycystic ovary syndrome: Pelvic MRI as alternative to pelvic ultrasound for the diagnosis in overweight and obese adolescent girls

High-Resolution Single-Shot Fast Spin-Echo MR Imaging with Deep Learning Reconstruction Algorithm Can Improve Repeatability and Reproducibility of Follicle Counting

OBJECTIVE

To investigate the diagnostic performance of high-resolution single-shot fast spin-echo (SSFSE) imaging with deep learning (DL) reconstruction algorithm on follicle counting and compare it with original SSFSE images and conventional fast spin-echo (FSE) images.

METHODS

This study included 20 participants (40 ovaries) with clinically confirmed polycystic ovary syndrome (PCOS) who underwent high-resolution ovary MRI, including three-plane T2-weighted FSE sequences and slice-matched T2-weighted SSFSE sequences. A DL reconstruction algorithm was applied to the SSFSE sequences to generate SSFSE-DL images, and the original SSFSE images were also saved. Subjective evaluations such as the blurring artifacts, subjective noise, and clarity of the follicles on the SSFSE-DL, SSFSE, and conventional FSE images were independently conducted by two observers. Intra-class correlation coefficients and Bland-Altman plots were used to present the repeatability and reproducibility of the follicle number per ovary (FNPO) based on the three types of images.

RESULTS

SSFSE-DL images showed less blurring artifact, subjective noise, and better clarity of the follicles than SSFSE and FSE (p < 0.05). For the repeatability of the FNPO, SSFSE-DL showed the highest intra-observer (ICC = 0.930; 95% CI: 0.878-0.962) and inter-observer (ICC = 0.914; 95% CI: 0.843-0.953) agreements. The inter-observer 95% limits of agreement (LOA) for SSFSE-DL, SSFSE, and FSE ranged from -3.7 to 4.5, -4.4 to 7.0, and -7.1 to 7.6, respectively. The intra-observer 95% LOA for SSFSE-DL, SSFSE, and FSE ranged from -3.5 to 4.0, -5.1 to 6.1, and -5.7 to 4.2, respectively. The absolute values of intra-observer and inter-observer differences for SSFSE-DL were significantly lower than those for SSFSE and FSE (p < 0.05).

CONCLUSIONS

Compared with the original SSFSE images and the conventional FSE images, high-resolution SSFSE images with DL reconstruction algorithm can better display follicles, thus improving FNPO assessment.

Anti-Müllerian hormone levels in the diagnosis of adolescent polycystic ovarian syndrome: a systematic review and meta-analysis

Polycystic ovary syndrome (PCOS) is an endocrine disorder that causes menstrual cycle irregularities and infertility. PCOS is diagnosed based on hyperandrogenism, polycystic ovarian morphology (PCOM), and an-/oligo-ovulation. Upregulation of anti-Müllerian hormone (AMH) in the serum of women with PCOS may be another suitable alternative diagnostic criterion for PCOM. However, previous meta-analyses have reported conflicting results due to the age-dependent decline in serum AMH levels. Therefore, we performed a meta-analysis to evaluate the threshold of AMH for the diagnosis of PCOS in adolescents and women in their early twenties. Fifteen trials were included in this meta-analysis. PCOS is diagnosed with either Rotterdam criteria, NIH, or AE-PCOS. AMH levels were significantly higher in adolescents with PCOS (weighted mean difference, 3.05; 95% confidence interval: 2.09-4.01) than in the control group. The cutoff values of AMH for the diagnosis of adolescent PCOS were 6.1, 6.26, 7.03, 7.11, 7.2, and 7.25 ng/mL in the studies that reported the usefulness of AMH levels. The summary receiver operating characteristic analysis of the diagnostic accuracy demonstrated that the specificity and sensitivity were 81% and 66.3%, respectively. Our meta-analysis demonstrates that AMH may be a useful diagnostic test for adolescent PCOS and, based on the previous studies included in the meta-analysis, its cutoff value was estimated to be 6-7 ng/mL.

Criteria for Diagnosis of Polycystic Ovary Syndrome during Adolescence: Literature Review

Polycystic ovary syndrome (PCOS) is one of the most common endocrine conditions in women. PCOS may be more challenging to diagnose during adolescence due to an overlap with the physiological events of puberty, which are part of the diagnostic criteria in adult women. This review focuses on the evidence available in relation to PCOS diagnostic criteria for adolescents. Adolescent PCOS should be diagnosed using two main criteria irregular -menstrual cycles (relative to number of years post-menarche) and hyperandrogenism (clinical and/or biochemical); after excluding other conditions that mimic PCOS. Accurate definitions of the two main criteria will decrease challenges/controversies with the diagnosis and provide timely diagnosis during adolescence to establish early management. Despite the attempts to create accurate diagnostic criteria and definitions, this review highlights the limited research in this area, especially in the follow up of adolescents presenting with one diagnostic feature that are called “at risk of PCOS”. Studies in adolescents continue to use the Rotterdam diagnostic criteria that uses pelvic ultrasound. This is inappropriate, because previous and emerging data that show many healthy adolescents have polycystic ovarian morphology in the early years post-menarche. In the future, anti-Müllerian hormone levels might help support PCOS diagnosis if adolescents meet two main criteria.