Where Ideas Grow
António Polónia
Clinical Affiliate Member

Surgical Pathologist (MD) at Ipatimup Diagnostics (2014-Present)

FCM-UNL: Medicine (1998-2004); FMUP: Master's degree, Molecular Oncology (2010-2012); FMUP: PhD, Molecular Oncology (2012-2018)

Selected Publications

Eloy C., Marques A., Pinto J., Pinheiro J., Campelos S., Curado M., Vale J., Polónia A.,
Artificial intelligence–assisted cancer diagnosis improves the efficiency of pathologists in prostatic biopsies. Virchows Archiv482(3):595-604, 2023. [Journal: Article] [CI: 5] [IF: 3,5 (*)]
DOI: 10.1007/s00428-023-03518-5 SCOPUS: 85148422122.


Polónia A., Canelas C., Caramelo A.,
The spectrum of HER2 expression in breast cancer: linking immunohistochemistry quantification with in situ hybridization assay. Virchows Archiv480(6):1171-1179, 2022. [Journal: Article] [CI: 5] [IF: 3,5]
DOI: 10.1007/s00428-022-03290-y SCOPUS: 85124353881.


Conde-Sousa E., Vale J., Feng M., Xu K., Wang Y., Della Mea V., La Barbera D., Montahaei E., Baghshah M., Turzynski A., Gildenblat J., Klaiman E., Hong Y., Aresta G., Araújo T., Aguiar P., Eloy C., Polónia A.,
HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin–Eosin Whole-Slide Imaging. Journal of Imaging8(8):, 2022. [Journal: Article] [CI: 8] [IF: 3,2]
DOI: 10.3390/jimaging8080213 SCOPUS: 85136794538.


Polónia A., Caramelo A.,
HER2 in situ hybridization test in breast cancer: quantifying margins of error and genetic heterogeneity. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc34(8):1478-1486, 2021. [Journal: Article] [CI: 8] [IF: 8,2]
DOI: 10.1038/s41379-021-00813-x SCOPUS: 85105817899.


Polónia A., Campelos S., Ribeiro A., Aymore I., Pinto D., Biskup-Fruzynska M., Veiga R.S., Canas-Marques R., Aresta G., Araújo T., Campilho A., Kwok S., Aguiar P., Eloy C.,
Artificial Intelligence Improves the Accuracy in Histologic Classification of Breast Lesions. American Journal of Clinical Pathology155(4):527-536, 2021. [Journal: Article] [CI: 13] [IF: 5,4]
DOI: 10.1093/ajcp/aqaa151 SCOPUS: 85102964948.


Aresta G., Araújo T., Kwok S., Chennamsetty S.S., Safwan M., Alex V., Marami B., Prastawa M., Chan M., Donovan M., Fernandez G., Zeineh J., Kohl M., Walz C., Ludwig F., Braunewell S., Baust M., Vu Q.D., To M.N.N., Kim E., Kwak J.T., Galal S., Sanchez-Freire V., Brancati N., Frucci M., Riccio D., Wang Y., Sun L., Ma K., Fang J., Kone I., Boulmane L., Campilho A., Eloy C., Polónia A., Aguiar P.,
BACH: Grand challenge on breast cancer histology images. Medical Image Analysis56:122-139, 2019. [Journal: Article] [CI: 332] [IF: 11,1]
DOI: 10.1016/j.media.2019.05.010 SCOPUS: 85067343074.


Araujo T., Aresta G., Castro E., Rouco J., Aguiar P., Eloy C., Polonia A., Campilho A.,
Classification of breast cancer histology images using convolutional neural networks. PLoS ONE12(6):, 2017. [Journal: Article] [CI: 660] [IF: 2,8]
DOI: 10.1371/journal.pone.0177544 SCOPUS: 85020032538.


Mercan C., Balkenhol M., Salgado R., Sherman M., Vielh P., Vreuls W., Polónia A., Horlings H.M., Weichert W., Carter J.M., Bult P., Christgen M., Denkert C., van de Vijver K., Bokhorst J.M., van der Laak J., Ciompi F.,
Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer. npj Breast Cancer8(1):, 2022. [Journal: Article] [CI: 6] [IF: 5,9]
DOI: 10.1038/s41523-022-00488-w SCOPUS: 85141368231.


Shamai G., Livne A., Polónia A., Sabo E., Cretu A., Bar-Sela G., Kimmel R.,
Deep learning-based image analysis predicts PD-L1 status from H&E-stained histopathology images in breast cancer. Nature Communications13(1):, 2022. [Journal: Article] [CI: 16] [IF: 16,6]
DOI: 10.1038/s41467-022-34275-9 SCOPUS: 85141603463.


Polónia A., Pinto R., Cameselle-Teijeiro J.F., Schmitt F.C., Paredes J.,
Prognostic value of stromal tumour infiltrating lymphocytes and programmed cell death-ligand 1 expression in breast cancer. Journal of Clinical Pathology70(10):860-867, 2017. [Journal: Article] [CI: 49] [IF: 2,9]
DOI: 10.1136/jclinpath-2016-203990 SCOPUS: 85027245035.


Curado M., Caramelo A.S., Eloy C., Polónia A.,
What to expect from the 2018 ASCO/CAP HER2 guideline in the reflex in situ hybridization test of immunohistochemically equivocal 2+ cases?. Virchows Archiv475(3):303-311, 2019. [Journal: Article] [CI: 8] [IF: 2,9]
DOI: 10.1007/s00428-019-02567-z SCOPUS: 85064443645.


Polónia A., Oliveira G., Schmitt F.,
Characterization of HER2 gene amplification heterogeneity in invasive and in situ breast cancer using bright-field in situ hybridization. Virchows Archiv471(5):589-598, 2017. [Journal: Article] [CI: 8] [IF: 2,9]
DOI: 10.1007/s00428-017-2189-9 SCOPUS: 85023176730.


Polónia A., Eloy C., Pinto J., Braga A.C., Oliveira G., Schmitt F.,
Counting invasive breast cancer cells in the HER2 silver in-situ hybridization test: how many cells are enough?. Histopathology71(2):247-257, 2017. [Journal: Article] [CI: 5] [IF: 3,3]
DOI: 10.1111/his.13208 SCOPUS: 85018695677.


Machado-Neves R., Vale J., Eloy C., Polónia A.,
HER2 genomic heterogeneity is a frequent event in gastroesophageal adenocarcinoma and correlates with tumor morphology. Pathology Research and Practice216(9):, 2020. [Journal: Article] [CI: 1] [IF: 3,3]
DOI: 10.1016/j.prp.2020.153090 SCOPUS: 85087730634.


Eloy C., Vale J., Curado M., Polónia A., Campelos S., Caramelo A., Sousa R., Sobrinho-Simões M.,
Digital pathology workflow implementation at ipatimup. Diagnostics11(11):, 2021. [Journal: Article] [CI: 30] [IF: 4]
DOI: 10.3390/diagnostics11112111 SCOPUS: 85119612542.


Fraggetta F., L’imperio V., Ameisen D., Carvalho R., Leh S., Kiehl T.R., Serbanescu M., Racoceanu D., Mea V.D., Polonia A., Zerbe N., Eloy C.,
Best practice recommendations for the implementation of a digital pathology workflow in the anatomic pathology laboratory by the european society of digital and integrative pathology (ESDIP). Diagnostics11(11):, 2021. [Journal: Article] [CI: 40] [IF: 4]
DOI: 10.3390/diagnostics11112167 SCOPUS: 85119998486.