dc.creator | García Mejido, José Antonio | es |
dc.creator | Sánchez Sevilla, Miguel | es |
dc.creator | García Jiménez, Rocío | es |
dc.creator | Fernández Palacín, Ana | es |
dc.creator | Sáinz Bueno, José Antonio | es |
dc.date.accessioned | 2022-10-26T13:48:43Z | |
dc.date.available | 2022-10-26T13:48:43Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | García Mejido, J.A., Sánchez Sevilla, M., García Jiménez, R., Fernández Palacín, A. y Sáinz Bueno, J.A. (2022). Intraoperative predictive model for the detection of metastasis in non-sentinel axillary lymph nodes. CLINICAL AND EXPERIMENTAL OBSTETRICS & GYNECOLOGY, 49 (4), ceog4904086. https://doi.org/10.31083/j.ceog4904086. | |
dc.identifier.issn | 0390-6663 | es |
dc.identifier.uri | https://hdl.handle.net/11441/138382 | |
dc.description.abstract | Background: To design a software-applied predictive model relating patients clinical and pathological traits associated with sentinel
lymph-node total tumor load to individually establish the need to perform an axillary lymph-node dissection. Methods: Retrospective
observational study including 127 patients with breast cancer in which a sentinel lymph-node biopsy was performed with the one step
nucleic acid amplification method and a subsequent axillary lymph-node dissection. We created various binary multivariate logistic
regression models using non-automated methods to predict the presence of metastasis in non-sentinel lymph-nodes, including Log total
tumor load, immunohistochemistry, multicentricity and progesterone receptors. These parameters were progressively added according to
the simplicity of their evaluation and their predictive value to detect metastasis in non-sentinel lymph-nodes. Results: The final model
was selected for having maximum discriminatory capability, good calibration, along with parsimony and interpretability. The binary
logistic regression model chosen was the one which identified the variables Log total tumor load, immunohistochemistry, multicentricity
and progesterone receptors as predictors of metastasis in non-sentinel lymph-nodes. Harrell’s C-index obtained from the area under
the curve of the predicted probabilities by Model 4 was 0.77 (95% CI, 0.689–0.85; p < 0.0005). Conclusions: the combination of total
tumor load, immunohistochemistry, multicentricity and progesterone receptors can predict 77% of patients with metastasis in non-sentinel
lymph-nodes and said prediction may be made intraoperatively in a feasible manner. | es |
dc.format | application/pdf | es |
dc.format.extent | 8 p. | es |
dc.language.iso | eng | es |
dc.publisher | I R O G CANADA, INC | es |
dc.relation.ispartof | CLINICAL AND EXPERIMENTAL OBSTETRICS & GYNECOLOGY, 49 (4), ceog4904086. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Breast cancer | es |
dc.subject | One-step nucleic acid amplification | es |
dc.subject | Sentinel lymph-node | es |
dc.subject | Non-sentinel lymph-node metastasis | es |
dc.subject | Axillary lymph-node dissection | es |
dc.subject | Total tumor load | es |
dc.title | Intraoperative predictive model for the detection of metastasis in non-sentinel axillary lymph nodes | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Cirugía | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Medicina Preventiva y Salud Pública | es |
dc.relation.publisherversion | https://www.imrpress.com/journal/CEOG/49/4/10.31083/j.ceog4904086 | es |
dc.identifier.doi | 10.31083/j.ceog4904086 | es |
dc.journaltitle | CLINICAL AND EXPERIMENTAL OBSTETRICS & GYNECOLOGY | es |
dc.publication.volumen | 49 | es |
dc.publication.issue | 4 | es |
dc.publication.initialPage | ceog4904086 | es |