Ultrasound-based radiomics features: a gain or loss for risk stratification in patients with endometrial cancer

L Zhang¹, B Zhang¹

Affiliations

Free article

Comment

L Zhang et al. Ultrasound Obstet Gynecol. 2022 Aug.

Free article

. 2022 Aug;60(2):298-299.

doi: 10.1002/uog.24962.

L Zhang¹, B Zhang¹

¹ Department of Radiology, the First Affiliated Hospital of Jinan University, Guangdong, Guangzhou, China.

No abstract available

Comment in

Reply.
Moro F, Boldrini L, Lenkowicz J, Scambia G, Testa AC, Fanfani F. Moro F, et al. Ultrasound Obstet Gynecol. 2022 Aug;60(2):299-300. doi: 10.1002/uog.24963. Ultrasound Obstet Gynecol. 2022. PMID: 35913380 No abstract available.

Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer.
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. Moro F, et al. Ultrasound Obstet Gynecol. 2022 Aug;60(2):256-268. doi: 10.1002/uog.24805. Ultrasound Obstet Gynecol. 2022. PMID: 34714568

1. 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. Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer. Ultrasound Obstet Gynecol 2022; 60: 256-268.
1. Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, Sanduleanu S, Larue R, Even A. J. G, Jochems A, van Wijk Y, Woodruff H, van Soest J, Lustberg T, Roelofs E, van Elmpt W, Dekker A, Mottaghy FM, Wildberger JE, Walsh S. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol 2017; 14: 749-762.
1. Nero C, Ciccarone F, Boldrini L, Lenkowicz J, Paris I, Capoluongo ED, Testa AC, Fagotti A, Valentini V, Scambia G. Germline BRCA 1-2 status prediction through ovarian ultrasound images radiogenomics: a hypothesis generating study (PROBE study). Sci Rep 2020; 10: 16511.
1. Dinapoli N, Alitto AR, Vallati M, Gatta R, Autorino R, Boldrini L, Damiani A, Valentini V. Moddicom: a complete and easily accessible library for prognostic evaluations relying on image features. Annu Int Conf IEEE Eng Med Biol Soc 2015; 2015: 771-774.