Research output per year
Research output per year
Personal profile
Academic discipline
MEDS-21/A - Obstetrics and Gynaecology
Fingerprint
Dive into the research topics where Maria Gabriella Ferrandina is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country level (based on research outputs with Scopus ID). Dive into details by clicking on the dots.
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Radiomics-based ultrasOund Model for differentiating Uterine Sarcomas from leiomyomas (ROMUS): a retrospective pilot Multicenter Italian Trials in Ovarian Cancer (MITO) study
Ciccarone, F., Rizzi, A., Biscione, A., Baldassari, G., Tran, E. H., Pasciuto, T., Moro, F., Zinicola, G., Buonomo, F., Colombin, M., Ghezzi, F., Casarin, J., Mancari, R., Borella, F., Kardhashi, A., Roccio, M., Savelli, L., Cioffi, R., Fanfani, F. & Ferrandina, M. G. & 4 others, , 2026, In: Ultrasound in Obstetrics and Gynecology. 67, 4, p. 530-541 12 p.Research output: Contribution to journal › Article
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A clinical ultrasound algorithm to identify uterine sarcoma and smooth muscle tumors of uncertain malignant potential in patients with myometrial lesions: the MYometrial Lesion UltrasouNd And mRi study
Ciccarone, F., Biscione, A., Robba, E., Pasciuto, T., Giannarelli, D., Gui, B., Manfredi, R., Ferrandina, M. G., Romualdi, D., Moro, F., Zannoni, G. F., Lorusso, D., Scambia, G. & Testa, A. C., 2025, In: American Journal of Obstetrics and Gynecology. 232, 1, p. 108.e1-108.e22Research output: Contribution to journal › Article
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A clinical ultrasound algorithm to identify uterine sarcoma and smooth muscle tumors of uncertain malignant potential in patients with myometrial lesions: the MYometrial Lesion UltrasouNd And mRi study
Ciccarone, F., Biscione, A., Robba, E., Pasciuto, T., Giannarelli, D., Gui, B., Manfredi, R., Ferrandina, M. G., Romualdi, D., Moro, F., Zannoni, G. F., Lorusso, D., Scambia, G. & Testa, A. C., 2025, In: American Journal of Obstetrics and Gynecology. 232, 1, p. 108.e1-108.e22Research output: Contribution to journal › Article
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An exploratory assessment of early and delta PET radiomic features for outcome prediction in locally advanced cervical cancer
Florit, A., Noortman, W. A., Bizzarri, N., Pasciuto, T., Feudo, V., de Geus-Oei, L.-F., Pfaehler, E., Boellaard, R., Gambacorta, M. A., Zannoni, G. F., Ferrandina, M. G., Sala, E., Scambia, G., Rufini, V., van Velden, F. H. P. & Collarino, A., 2025, In: European Journal of Nuclear Medicine and Molecular Imaging. n/a, p. N/A-N/AResearch output: Contribution to journal › Article
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Benefit from maintenance with PARP inhibitor in newly diagnosed ovarian cancer according to BRCA1/2 mutation type and site: a multicenter real-world study
Marchetti, C., Fagotti, A., Fruscio, R., Cassani, C., Incorvaia, L., Perri, M. T., Sassu, C. M., Camnasio, C. A., Giudice, E., Minucci, A., Seca, M., Arbustini, E., Vertechy, L., De Bonis, M., Boccia, S. M., Giannarelli, D., Salutari, V., Distefano, M., Ferrandina, M. G. & Nero, C. & 4 others, , 2025, In: ESMO Open. 10, 4, p. 1-7 7 p.Research output: Contribution to journal › Article
Datasets
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Additional file 1: of A combined ANXA2-NDRG1-STAT1 gene signature predicts response to chemoradiotherapy in cervical cancer
Buttarelli, M. (Creator), Babini, G. (Creator), Raspaglio, G. (Creator), Filippetti, F. (Creator), Battaglia, A. (Creator), Ciucci, A. (Creator), Ferrandina, G. (Creator), Petrillo, M. (Creator), Marino, C. (Creator), Mancuso, M. (Contributor), Saran, A. (Creator), Villani, M. E. (Creator), Desiderio, A. (Creator), D'Ambrosio, C. (Contributor), Scaloni, A. (Creator), Scambia, G. (Creator) & Gallo, D. (Creator), figshare, 2019
DOI: 10.6084/m9.figshare.8330906, https://springernature.figshare.com/articles/Additional_file_1_of_A_combined_ANXA2-NDRG1-STAT1_gene_signature_predicts_response_to_chemoradiotherapy_in_cervical_cancer/8330906
Dataset
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Additional file 1: of A combined ANXA2-NDRG1-STAT1 gene signature predicts response to chemoradiotherapy in cervical cancer
Buttarelli, M. (Creator), Babini, G. (Creator), Raspaglio, G. (Creator), Filippetti, F. (Creator), Battaglia, A. (Creator), Ciucci, A. (Creator), Ferrandina, G. (Creator), Petrillo, M. (Creator), Marino, C. (Creator), Mancuso, M. (Contributor), Saran, A. (Creator), Villani, M. E. (Creator), Desiderio, A. (Creator), D'Ambrosio, C. (Contributor), Scaloni, A. (Creator), Scambia, G. (Creator) & Gallo, D. (Creator), figshare, 2019
DOI: 10.6084/m9.figshare.8330906.v1, https://springernature.figshare.com/articles/Additional_file_1_of_A_combined_ANXA2-NDRG1-STAT1_gene_signature_predicts_response_to_chemoradiotherapy_in_cervical_cancer/8330906/1
Dataset
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A combined ANXA2-NDRG1-STAT1 gene signature predicts response to chemoradiotherapy in cervical cancer
Buttarelli, M. (Creator), Babini, G. (Creator), Raspaglio, G. (Creator), Filippetti, F. (Creator), Battaglia, A. (Creator), Ciucci, A. (Creator), Ferrandina, G. (Creator), Petrillo, M. (Creator), Marino, C. (Creator), Mancuso, M. (Contributor), Saran, A. (Creator), Villani, M. E. (Creator), Desiderio, A. (Creator), D'Ambrosio, C. (Contributor), Scaloni, A. (Creator), Scambia, G. (Creator) & Gallo, D. (Creator), figshare, 2019
DOI: 10.6084/m9.figshare.c.4557080, https://springernature.figshare.com/collections/A_combined_ANXA2-NDRG1-STAT1_gene_signature_predicts_response_to_chemoradiotherapy_in_cervical_cancer/4557080
Dataset
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A combined ANXA2-NDRG1-STAT1 gene signature predicts response to chemoradiotherapy in cervical cancer
Buttarelli, M. (Creator), Babini, G. (Creator), Raspaglio, G. (Creator), Filippetti, F. (Creator), Battaglia, A. (Creator), Ciucci, A. (Creator), Ferrandina, G. (Creator), Petrillo, M. (Creator), Marino, C. (Creator), Mancuso, M. (Contributor), Saran, A. (Creator), Villani, M. E. (Creator), Desiderio, A. (Creator), D'Ambrosio, C. (Contributor), Scaloni, A. (Creator), Scambia, G. (Creator) & Gallo, D. (Creator), figshare, 2019
DOI: 10.6084/m9.figshare.c.4557080.v1, https://springernature.figshare.com/collections/A_combined_ANXA2-NDRG1-STAT1_gene_signature_predicts_response_to_chemoradiotherapy_in_cervical_cancer/4557080/1
Dataset