The Quantification Paradox in Gynecologic Color Doppler Ultrasound: From Spectral Indices to Microvascular Imaging and Artificial Intelligence
Yeping Zhang, Juan Shi, Aihong Wang · 2026
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Description
Yeping Zhang, Juan Shi, and Aihong Wang review a long quest to turn tumor blood flow into a number in gynecologic ultrasound. Their twenty twenty-six paper calls the problem the quantification paradox. Color Doppler promised an objective way to tell benign growths from cancer.
Early spectral indices, such as resistance and pulsatility scores, never settled into stable cutoffs. What clinics kept was a rough visual color score inside bigger structured models. New tools, from microvascular imaging to deep learning, revive the old ambition. The review sorts past and present methods so readers can judge if numbers will work this time, or if the eye still rules.
Catalog record
| CREATOR | Yeping Zhang, Juan Shi, Aihong Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |