2007
DOI: 10.1002/uog.5150
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Contribution of morphological assessment of the vessel tree by three‐dimensional ultrasound to a correct diagnosis of malignancy in ovarian masses

Abstract: Objective To determine whether subjective evaluation of the morphology of the vessel tree of ovarian tumors, as depicted by three-dimensional (3D)

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Cited by 42 publications
(56 citation statements)
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“…Our experience and criteria are similar to that reported by Sladkevicius, 14 but add in the concept of "start and stop" arteries, as well the "magic cut" technique to qualitatively analyze the shift in velocities of individual vessels. We also include the separate categories of narrowing and sacculation, rather than "caliber changes."…”
Section: Case Illustrationsupporting
confidence: 57%
“…Our experience and criteria are similar to that reported by Sladkevicius, 14 but add in the concept of "start and stop" arteries, as well the "magic cut" technique to qualitatively analyze the shift in velocities of individual vessels. We also include the separate categories of narrowing and sacculation, rather than "caliber changes."…”
Section: Case Illustrationsupporting
confidence: 57%
“…84,[93][94][95][96] Furthermore, this approach is only moderately reproducible. 93,94 These studies are summarized in Table 5.…”
Section: Three-dimensional Ultrasound In Adnexal Pathologymentioning
confidence: 99%
“…3D power Doppler has also been suggested to provide additional diagnostic information to discriminate between benign and malignant ovarian masses. Whilst the subjectively assessed morphology of the vessel tree (e.g., density of vessels, branching, caliber changes and tortuosity) differs significantly between benign and malignant tumors, the addition of vascular features to the logistic regression model containing three gray-scale ultrasound variables did not significantly improve the diagnostic accuracy [36]. The objective quantitation of the color content of the tumor scan using 3D power Doppler ultrasound adds only marginal value to gray-scale imaging for the diagnosis of malignant tumor [37].…”
Section: Ovarymentioning
confidence: 99%