A new scoring system to differentiate benign from malignant adnexal masses

Alcázar, Juan Luis; Mercé, Luis T.; Laparte, C.; Jurado, M.; López-Garcı́a, Guillermo

doi:10.1067/mob.2003.176

Cited by 98 publications

(63 citation statements)

References 19 publications

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“…Similarly study by Singh et al showed thick papillary projections (>3mm) to be statistically significant (P<0.02) 2 Alcazar et al also found thick papillary projections to be statistically significant (P<0.0001). 1 Color Doppler, Central flow was found to be statistically significant in the present study (P<0.000).Singh et al showed similar findings (P<0.001) ². Alcazar et al found central flow as predictor of malignancy (P<0.0001). 1 Brown et al 8 found central flow has stronger association with malignancy than the peripheral flow which was more than no flow.…”

Section: Discussionsupporting

confidence: 79%

“…Similar findings were documented by Alcazar (P= 0.0001), 1 Singh and coworkers (P=0.028), 2 Brown et al (P= 0.001). 8 Current study showed thick papillary projections (>3mm) to be statistically significant (P<0.001) in differentiating benign from malignant ovarian tumors.…”

Section: Discussionsupporting

confidence: 79%

“…Alcazar scoring system gave better results due to addition of color Doppler. 1,9 Central flow and low resistance were more consistently associated with malignancy. 1,8 Doppler increased the sensitivity and specificity.…”

Section: Discussionmentioning

confidence: 99%

“…Alcazar et al had 3 false positive cases (2 cystadenofibroma, 1brenner), 1 6 Alcazar scoring system with 100% sensitivity and 94.9% specificity is considered better than other 4 scoring systems. 1,9 This improvement in the diagnostic performance was because (1) the analytical approach was more statistically accurate, (2) only parameters truly predictors of malignancy were included. Alcazar scoring system gave better results due to addition of color Doppler.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of the alcazar scoring system in differentiating benign from malignant ovarian tumors

Sahu

2015

Int J Reprod Contracept Obstet Gynecol

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Section: Discussionsupporting

confidence: 79%

Section: Discussionsupporting

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Evaluation of the alcazar scoring system in differentiating benign from malignant ovarian tumors

Sahu

2015

Int J Reprod Contracept Obstet Gynecol

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“…This diagnosis is based on "pattern recognition" 1 scoring systems. 2 A Doppler technique has also been proposed, although its usefulness remains controversial. 3 Recently, 3-dimensional (3D) sonography has been introduced in clinical practice.…”

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confidence: 99%

Three-Dimensional Sonographic Morphologic Assessment of Adnexal Masses

Alcázar

García-Manero

Galván

2007

Journal of Ultrasound in Medicine

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Objective. The purpose of this study was to assess the reproducibility of 3-dimensional (3D) sonography for classifying adnexal masses. Methods. Eighty-two consecutive women with the diagnosis of an adnexal mass on 2-dimensional transvaginal sonography were reevaluated by 3D sonography, and 3D volume data from each mass were stored. Two different examiners (6 years and 1 year of experience in 3D sonography, respectively) reviewed 3D sonograms 1 month after the last patient was recruited and then 1 week later again. Masses had to be classified as benign or malignant. Criteria suggestive of malignancy were the presence of a thick wall, gross papillary projections, solid areas, and solid echogenicity. A definitive histologic diagnosis was obtained in every case. Intraobserver and interobserver agreement was estimated by calculating the Cohen κ index. Results. Twenty-seven (33%) tumors were malignant, and 55 (67%) were benign. Intraobserver agreement for both examiners was good (κ = 0.78 and 0.72, respectively). Interobserver agreement was also good (κ = 0.70). Conclusions. Three-dimensional sonography is a reproducible technique for morphologic assessment of adnexal masses. Key words: ovarian tumor; reproducibility; sonography; 3-dimensional sonography.Received March 27, 2007, Recently, 3-dimensional (3D) sonography has been introduced in clinical practice. This technique overcomes some limitations of conventional 2D sonography, allowing a more detailed assessment of morphologic features of the object studied, with no restriction to the number and orientation of the scanning plane.4 Several studies have evaluated the role of 3D transvaginal sonography in assessing adnexal masses, reporting controversial results. 5-8The issue of reproducibility is essential when proposing a new technique to be introduced into clinical practice. The objective of this study was to evaluate the reproducibility of 3D sonographic morphologic assessment of adnexal masses.

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Performance of Selected Models for Predicting Malignancy in Ovarian Tumors in Relation to the Degree of Diagnostic Uncertainty by Subjective Assessment With Ultrasound

Szubert

Szpurek²,

Wójtowicz

et al. 2019

J of Ultrasound Medicine

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Objectives-The study's main aim was to evaluate the relationship between the performance of predictive models for differential diagnoses of ovarian tumors and levels of diagnostic confidence in subjective assessment (SA) with ultrasound. The second aim was to identify the parameters that differentiate between malignant and benign tumors among tumors initially diagnosed as uncertain by SA.Methods-The study included 250 (55%) benign ovarian masses and 201 (45%) malignant tumors. According to ultrasound findings, the tumors were divided into 6 groups: certainly benign, probably benign, uncertain but benign, uncertain but malignant, probably malignant, and certainly malignant. The performance of the risk of malignancy index, International Ovarian Tumor Analysis assessment of different neoplasias in the adnexa model, and International Ovarian Tumor Analysis logistic regression model 2 was analyzed in subgroups as follows: SA-certain tumors (including certainly benign and certainly malignant) versus SA-probable tumors (probably benign and probably malignant) versus SA-uncertain tumors (uncertain but benign and uncertain but malignant).Results-We found a progressive decrease in the performance of all models in association with the increased uncertainty in SA. The areas under the receiver operating characteristic curve for the risk of malignancy index, logistic regression model 2, and assessment of different neoplasias in the adnexa model decreased between the SA-certain and SA-uncertain groups by 20%, 28%, and 20%, respectively. The presence of solid parts and a high color score were the discriminatory features between uncertain but benign and uncertain but malignant tumors.Conclusions-Studies are needed that focus on the subgroup of ovarian tumors that are difficult to classify by SA. In cases of uncertain tumors by SA, the presence of solid components or a high color score should prompt a gynecologic oncology clinic referral.

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A new scoring system to differentiate benign from malignant adnexal masses

Cited by 98 publications

References 19 publications

Evaluation of the alcazar scoring system in differentiating benign from malignant ovarian tumors

Evaluation of the alcazar scoring system in differentiating benign from malignant ovarian tumors

Three-Dimensional Sonographic Morphologic Assessment of Adnexal Masses

Performance of Selected Models for Predicting Malignancy in Ovarian Tumors in Relation to the Degree of Diagnostic Uncertainty by Subjective Assessment With Ultrasound

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