Imaging and pathology features to predict axillary tumor load in breast cancer
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- dc.contributor.author Nicolau, Pauca
- dc.contributor.author Gamero García, Rocíoca
- dc.contributor.author Rodríguez Arana, Ana Mariaca
- dc.contributor.author Plancarte Zapata, Franciscoca
- dc.contributor.author Alcántara da Silva, Rodrigoca
- dc.contributor.author Carreras Collado, Ramónca
- dc.contributor.author Sabadell Marcadal, Maria Doloresca
- dc.contributor.author Vernet-Tomás, Mariaca
- dc.date.accessioned 2018-06-14T07:47:50Z
- dc.date.available 2018-06-14T07:47:50Z
- dc.date.issued 2018
- dc.description.abstract AIM: We investigated if imaging and pathology features could help to identify a high axillary tumor burden (ATB) in breast cancer patients, in order to individualize decisions on axillary lymph node (ALN) dissection (ALND). METHODS: We retrospectively analyzed patients primarily treated with surgery in our unit between 2011 and 2014. We divided the patients in two groups: low ATB (LATB) if ≤ 2 ALN were infiltrated and high ATB (HATB) if > 2 ALN were infiltrated. RESULTS: Data of 105 patients was included in the study. Axillary ultrasound (AUS) features associated with HATB were any sign of ALN infiltration (76 vs 24%, P = 0.027) and > 2 suspicious ALNs (73% vs 27%, P = 0.018); however, when AUS revealed ≤ 2 suspicious ALNs, 39% of these patients had HATB. Any sign of ALN infiltration on magnetic resonance imaging was associated with HATB (48% vs 52%, P = 0.031). Positive preoperative ALN cytology or biopsy was associated with HATB (53% vs 47%, P = 0.008), while p53 positivity (80% vs 20%) and high histological grade (68% vs. 32%) correlated with LATB (P = 0.05 and P = 0.02, respectively). In multivariate analysis, only positive preoperative ALN cytology or biopsy was associated with HATB (P = 0.038). CONCLUSIONS: AUS was useful for detecting HATB but was not as effective in patients with LATB. Proving axillary infiltration with AUS-directed cytology or biopsy is the most effective method to predict HATB.
- dc.format.mimetype application/pdf
- dc.identifier.citation Nicolau P, Gamero R, Rodríguez-Arana A, Plancarte F, Alcántara R, Carreras R. et al. Imaging and pathology features to predict axillary tumor load in breast cancer. J Obstet Gynaecol Res. 2018 Feb;44(2):331-336. DOI: 10.1111/jog.13490
- dc.identifier.doi http://dx.doi.org/10.1111/jog.13490
- dc.identifier.issn 1341-8076
- dc.identifier.uri http://hdl.handle.net/10230/34900
- dc.language.iso eng
- dc.publisher Wileyca
- dc.relation.ispartof Journal of Obstetrics and Gynaecology Research. 2018 Feb;44(2):331-6
- dc.rights This is the peer reviewed version of the following article: Nicolau P, Gamero R, Rodríguez-Arana A, Plancarte F, Alcántara R, Carreras R. et al. Imaging and pathology features to predict axillary tumor load in breast cancer. J Obstet Gynaecol Res. 2018 Feb;44(2):331-336, which has been published in final form at http://dx.doi.org/10.1111/jog.13490. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Axillary tumor load
- dc.subject.keyword Axillary ultrasound
- dc.subject.keyword Breast cancer
- dc.subject.keyword p53
- dc.subject.keyword Positive preoperative cytology or biopsy
- dc.subject.other Mama -- Càncer -- Cirurgia
- dc.subject.other Mama -- Càncer -- Diagnòstic
- dc.title Imaging and pathology features to predict axillary tumor load in breast cancerca
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/acceptedVersion