Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer

Francesca Moro; M. Albanese; Luca Boldrini; V. Chiappa; Jacopo Lenkowicz; F. Bertolina; F. Mascilini; R. Moroni; Maria Antonietta Gambacorta; F. Raspagliesi; Giovanni Scambia; Antonia Carla Testa; Francesco Fanfani

doi:10.1002/uog.24805

Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer

Francesca Moro
, M. Albanese
, Luca Boldrini
, V. Chiappa
, Jacopo Lenkowicz
, F. Bertolina
, F. Mascilini
, R. Moroni
, Maria Antonietta Gambacorta
, F. Raspagliesi
, Giovanni Scambia
, Antonia Carla Testa
, Francesco Fanfani

IRCCS Fondazione Istituto Nazionale per lo studio e la cura dei tumori - Milano

Research output: Contribution to journal › Article › peer-review

Abstract

n/a

Original language	English
Pages (from-to)	256-268
Number of pages	13
Journal	Ultrasound in Obstetrics and Gynecology
Volume	60
DOIs	https://doi.org/10.1002/uog.24805
Publication status	Published - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

endometrial cancer
radiomics
ultrasonography

Access to Document

10.1002/uog.24805

Cite this

Moro, F., Albanese, M., Boldrini, L., Chiappa, V., Lenkowicz, J., Bertolina, F., Mascilini, F., Moroni, R., Gambacorta, M. A., Raspagliesi, F., Scambia, G., Testa, A. C., & Fanfani, F. (2022). Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer. Ultrasound in Obstetrics and Gynecology, 60, 256-268. https://doi.org/10.1002/uog.24805

@article{9e6d4263301346398502eaff9dab7f9f,

title = "Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer",

abstract = "n/a",

keywords = "endometrial cancer, radiomics, ultrasonography, endometrial cancer, radiomics, ultrasonography",

author = "Francesca Moro and M. Albanese and Luca Boldrini and V. Chiappa and Jacopo Lenkowicz and F. Bertolina and F. Mascilini and R. Moroni and Gambacorta, \{Maria Antonietta\} and F. Raspagliesi and Giovanni Scambia and Testa, \{Antonia Carla\} and Francesco Fanfani",

year = "2022",

doi = "10.1002/uog.24805",

language = "English",

volume = "60",

pages = "256--268",

journal = "Ultrasound in Obstetrics and Gynecology",

issn = "0960-7692",

publisher = "John Wiley and Sons Ltd",

}

Moro, F, Albanese, M, Boldrini, L, Chiappa, V, Lenkowicz, J, Bertolina, F, Mascilini, F, Moroni, R, Gambacorta, MA, Raspagliesi, F, Scambia, G, Testa, AC & Fanfani, F 2022, 'Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer', Ultrasound in Obstetrics and Gynecology, vol. 60, pp. 256-268. https://doi.org/10.1002/uog.24805

TY - JOUR

T1 - Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer

AU - Moro, Francesca

AU - Albanese, M.

AU - Boldrini, Luca

AU - Chiappa, V.

AU - Lenkowicz, Jacopo

AU - Bertolina, F.

AU - Mascilini, F.

AU - Moroni, R.

AU - Gambacorta, Maria Antonietta

AU - Raspagliesi, F.

AU - Scambia, Giovanni

AU - Testa, Antonia Carla

AU - Fanfani, Francesco

PY - 2022

Y1 - 2022

N2 - n/a

AB - n/a

KW - endometrial cancer

KW - radiomics

KW - ultrasonography

KW - endometrial cancer

KW - radiomics

KW - ultrasonography

UR - http://hdl.handle.net/10807/198519

U2 - 10.1002/uog.24805

DO - 10.1002/uog.24805

M3 - Article

SN - 0960-7692

VL - 60

SP - 256

EP - 268

JO - Ultrasound in Obstetrics and Gynecology

JF - Ultrasound in Obstetrics and Gynecology

ER -

Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer

Abstract

UN SDGs

Keywords

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