SwePub - sökning: WFRF:(Valentini Marvi)

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1.	Sacchetto, Daniela, et al. (författare) Mammographic density : Comparison of visual assessment with fully automatic calculation on a multivendor dataset 2016 Ingår i: European Radiology. - : Springer. - 0938-7994 .- 1432-1084. ; 26:1, s. 175-183 Tidskriftsartikel (refereegranskat)abstract To compare breast density (BD) assessment provided by an automated BD evaluator (ABDE) with that provided by a panel of experienced breast radiologists, on a multivendor dataset. Twenty-one radiologists assessed 613 screening/diagnostic digital mammograms from nine centers and six different vendors, using the BI-RADS a, b, c, and d density classification. The same mammograms were also evaluated by an ABDE providing the ratio between fibroglandular and total breast area on a continuous scale and, automatically, the BI-RADS score. A panel majority report (PMR) was used as reference standard. Agreement (kappa) and accuracy (proportion of cases correctly classified) were calculated for binary (BI-RADS a-b versus c-d) and 4-class classification. While the agreement of individual radiologists with the PMR ranged from kappa = 0.483 to kappa = 0.885, the ABDE correctly classified 563/613 mammograms (92 %). A substantial agreement for binary classification was found for individual reader pairs (kappa = 0.620, standard deviation [SD] = 0.140), individual versus PMR (kappa = 0.736, SD = 0.117), and individual versus ABDE (kappa = 0.674, SD = 0.095). Agreement between ABDE and PMR was almost perfect (kappa = 0.831). The ABDE showed an almost perfect agreement with a 21-radiologist panel in binary BD classification on a multivendor dataset, earning a chance as a reproducible alternative to visual evaluation. aEuro cent Individual BD assessment differs from PMR with kappa as low as 0.483. aEuro cent An ABDE correctly classified 92 % of mammograms with almost perfect agreement (kappa = 0.831). aEuro cent An ABDE can be a valid alternative to subjective BD assessment.

Sacchetto, Daniela, et al. (författare)
Mammographic density : Comparison of visual assessment with fully automatic calculation on a multivendor dataset
2016
Ingår i: European Radiology. - : Springer. - 0938-7994 .- 1432-1084. ; 26:1, s. 175-183
Tidskriftsartikel (refereegranskat)abstract
- To compare breast density (BD) assessment provided by an automated BD evaluator (ABDE) with that provided by a panel of experienced breast radiologists, on a multivendor dataset. Twenty-one radiologists assessed 613 screening/diagnostic digital mammograms from nine centers and six different vendors, using the BI-RADS a, b, c, and d density classification. The same mammograms were also evaluated by an ABDE providing the ratio between fibroglandular and total breast area on a continuous scale and, automatically, the BI-RADS score. A panel majority report (PMR) was used as reference standard. Agreement (kappa) and accuracy (proportion of cases correctly classified) were calculated for binary (BI-RADS a-b versus c-d) and 4-class classification. While the agreement of individual radiologists with the PMR ranged from kappa = 0.483 to kappa = 0.885, the ABDE correctly classified 563/613 mammograms (92 %). A substantial agreement for binary classification was found for individual reader pairs (kappa = 0.620, standard deviation [SD] = 0.140), individual versus PMR (kappa = 0.736, SD = 0.117), and individual versus ABDE (kappa = 0.674, SD = 0.095). Agreement between ABDE and PMR was almost perfect (kappa = 0.831). The ABDE showed an almost perfect agreement with a 21-radiologist panel in binary BD classification on a multivendor dataset, earning a chance as a reproducible alternative to visual evaluation. aEuro cent Individual BD assessment differs from PMR with kappa as low as 0.483. aEuro cent An ABDE correctly classified 92 % of mammograms with almost perfect agreement (kappa = 0.831). aEuro cent An ABDE can be a valid alternative to subjective BD assessment.

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