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Sökning: WFRF:(Pellegrini Antonella)

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1.
  • Malara, Natalia, et al. (författare)
  • Multicancer screening test based on the detection of circulating non haematological proliferating atypical cells
  • 2024
  • Ingår i: Molecular Cancer. - : BMC. - 1476-4598. ; 23:1
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • Background the problem in early diagnosis of sporadic cancer is understanding the individual's risk to develop disease. In response to this need, global scientific research is focusing on developing predictive models based on non-invasive screening tests. A tentative solution to the problem may be a cancer screening blood-based test able to discover those cell requirements triggering subclinical and clinical onset latency, at the stage when the cell disorder, i.e. atypical epithelial hyperplasia, is still in a subclinical stage of proliferative dysregulation. Methods a well-established procedure to identify proliferating circulating tumor cells was deployed to measure the cell proliferation of circulating non-haematological cells which may suggest tumor pathology. Moreover, the data collected were processed by a supervised machine learning model to make the prediction. Results the developed test combining circulating non-haematological cell proliferation data and artificial intelligence shows 98.8% of accuracy, 100% sensitivity, and 95% specificity. Conclusion this proof of concept study demonstrates that integration of innovative non invasive methods and predictive-models can be decisive in assessing the health status of an individual, and achieve cutting-edge results in cancer prevention and management.
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2.
  • 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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