ReviewAbdominal radiology (New York)2026
Multimodal ultrasound assessment of ovarian reserve.
Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Ovarian reserve represents the quantity and quality of a woman's remaining oocytes and serves as a key indicator of reproductive potential. Accurate and non-invasive evaluation of ovarian reserve is essential for guiding fertility management, predicting ovarian response, and monitoring age-related or pathological decline. With the advancement of imaging technology, multimodal ultrasound has emerged as a promising tool for comprehensive ovarian assessment. Two-dimensional (2D) and three-dimensional (3D) ultrasound, Doppler imaging, shear wave elastography (SWE), contrast-enhanced ultrasound (CEUS), and artificial intelligence (AI)-driven imaging together provide complementary insights into ovarian morphology, vascularity, and tissue stiffness. These modalities allow quantitative, reproducible, and real-time assessment of ovarian reserve, enabling early detection of diminished ovarian reserve (DOR) and premature ovarian insufficiency (POI). Moreover, AI-assisted analysis enhances diagnostic consistency and efficiency, paving the way for precision reproductive medicine. In conclusion, the integration of multimodal ultrasound technologies offers a comprehensive, non-invasive framework for evaluating ovarian reserve, supporting individualized fertility assessment and improving reproductive outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.