Transvaginal ultrasound is the only imaging option for diagnosing PCOS
Transvaginal ultrasound is not the only imaging or diagnostic option for polycystic ovary syndrome (PCOS), as magnetic resonance imaging and biochemical markers such as anti-Müllerian hormone are also successfully utilized for diagnosis.
The claim states that transvaginal ultrasound is the *only* imaging option for diagnosing PCOS. The retrieved literature clearly refutes this exclusivity. Paper [1] demonstrates that magnetic resonance imaging (MRI) can also be used to evaluate antral follicle counts and serve as an alternative to ultrasound. Furthermore, papers [6] and [9] show that biochemical markers like anti-Müllerian hormone (AMH) can replace ultrasound for assessing polycystic ovarian morphology. Therefore, transvaginal ultrasound is neither the exclusive imaging option nor the sole diagnostic modality.
S. Aiyappan, B. Karpagam, V. Vadanika, P. Chidambaram, S. Vinayagam, K. Saravanan. Age-Related Normogram for Ovarian Antral Follicle Count in Women with Polycystic Ovary Syndrome and Comparison with Age Matched Controls Using Magnetic Resonance Imaging.. 2016. https://doi.org/10.7860/JCDR/2016/17334.7136
Paper [1] demonstrates that magnetic resonance imaging (MRI) is an effective alternative to transvaginal ultrasound for evaluating ovarian antral follicle counts in patients with PCOS.
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Evans AT, Rehani E, Smith B, Hong MD, Lewin Z, Hiroshige K, Spandorfer SD, Hajirasouliha I, Lujan ME, Hoeger KM. Diagnosis of Polycystic Ovary Syndrome With Predictive Modeling of Select Clinical Features.. 2026. https://doi.org/10.1097/og9.0000000000000161
Paper [6] shows that biochemical markers such as anti-Müllerian hormone (AMH) can predict PCOS diagnosis with high accuracy independently of ultrasound.
van der Ham K, Sillman J, Hund M, Mang A, Louwers YV, Laven JSE. Evaluating the PCOS risk algorithm (PriskA): a pilot study.. 2026. https://doi.org/10.1186/s13048-026-02037-6
Paper [9] highlights that blood tests like AMH can replace ultrasound for assessing polycystic ovarian morphology within risk algorithms.
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