Bartolotta TV - Search Results

1

Diagnostic Performance of an Artificial Intelligence System in Breast Ultrasound.

O'Connell AM, Bartolotta TV, Orlando A, Jung SH, Baek J, Parker KJ. O'Connell AM, et al. Among authors: bartolotta tv. J Ultrasound Med. 2022 Jan;41(1):97-105. doi: 10.1002/jum.15684. Epub 2021 Mar 5. J Ultrasound Med. 2022. PMID: 33665833

2

Characterization of hypoechoic focal hepatic lesions in patients with fatty liver: diagnostic performance and confidence of contrast-enhanced ultrasound.

Bartolotta TV, Taibbi A, Galia M, Runza G, Matranga D, Midiri M, Lagalla R. Bartolotta TV, et al. Eur Radiol. 2007 Mar;17(3):650-61. doi: 10.1007/s00330-006-0432-x. Epub 2006 Oct 3. Eur Radiol. 2007. PMID: 17180328

3

Splenic hemangiomas: contrast-enhanced sonographic findings.

Taibbi A, Bartolotta TV, Matranga D, Midiri M, Lagalla R. Taibbi A, et al. Among authors: bartolotta tv. J Ultrasound Med. 2012 Apr;31(4):543-53. doi: 10.7863/jum.2012.31.4.543. J Ultrasound Med. 2012. PMID: 22441910

4

Focal breast lesion characterization according to the BI-RADS US lexicon: role of a computer-aided decision-making support.

Bartolotta TV, Orlando A, Cantisani V, Matranga D, Ienzi R, Cirino A, Amato F, Di Vittorio ML, Midiri M, Lagalla R. Bartolotta TV, et al. Radiol Med. 2018 Jul;123(7):498-506. doi: 10.1007/s11547-018-0874-7. Epub 2018 Mar 22. Radiol Med. 2018. PMID: 29569216 No abstract available.

5

Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool.

Di Segni M, de Soccio V, Cantisani V, Bonito G, Rubini A, Di Segni G, Lamorte S, Magri V, De Vito C, Migliara G, Bartolotta TV, Metere A, Giacomelli L, de Felice C, D'Ambrosio F. Di Segni M, et al. Among authors: bartolotta tv. J Ultrasound. 2018 Jun;21(2):105-118. doi: 10.1007/s40477-018-0297-2. Epub 2018 Apr 21. J Ultrasound. 2018. PMID: 29681007 Free PMC article.

6

S-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay.

Bartolotta TV, Orlando AAM, Spatafora L, Dimarco M, Gagliardo C, Taibbi A. Bartolotta TV, et al. J Ultrasound. 2020 Jun;23(2):207-215. doi: 10.1007/s40477-020-00447-w. Epub 2020 Mar 17. J Ultrasound. 2020. PMID: 32185702 Free PMC article. Review.

7

S-Detect characterization of focal solid breast lesions: a prospective analysis of inter-reader agreement for US BI-RADS descriptors.

Bartolotta TV, Orlando AAM, Di Vittorio ML, Amato F, Dimarco M, Matranga D, Ienzi R. Bartolotta TV, et al. J Ultrasound. 2021 Jun;24(2):143-150. doi: 10.1007/s40477-020-00476-5. Epub 2020 May 23. J Ultrasound. 2021. PMID: 32447631 Free PMC article.

8

Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients.

Alongi P, Stefano A, Comelli A, Laudicella R, Scalisi S, Arnone G, Barone S, Spada M, Purpura P, Bartolotta TV, Midiri M, Lagalla R, Russo G. Alongi P, et al. Among authors: bartolotta tv. Eur Radiol. 2021 Jul;31(7):4595-4605. doi: 10.1007/s00330-020-07617-8. Epub 2021 Jan 14. Eur Radiol. 2021. PMID: 33443602

9

Ultrasonographic Detection of Vascularity of Focal Breast Lesions: Microvascular Imaging Versus Conventional Color and Power Doppler Imaging.

Bartolotta TV, Orlando AAM, Schillaci MI, Spatafora L, Marco MD, Matranga D, Firenze A, Cirino A, Ienzi R. Bartolotta TV, et al. Ultrason Imaging. 2021 Sep;43(5):273-281. doi: 10.1177/01617346211029542. Epub 2021 Jul 8. Ultrason Imaging. 2021. PMID: 34236008

10

3D DCE-MRI Radiomic Analysis for Malignant Lesion Prediction in Breast Cancer Patients.

Militello C, Rundo L, Dimarco M, Orlando A, Woitek R, D'Angelo I, Russo G, Bartolotta TV. Militello C, et al. Among authors: bartolotta tv. Acad Radiol. 2022 Jun;29(6):830-840. doi: 10.1016/j.acra.2021.08.024. Epub 2021 Sep 29. Acad Radiol. 2022. PMID: 34600805 Free article.

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