Preoperative Sonographic Prediction of Limited Axillary Disease in Patients with Primary Breast Cancer Meeting the Z0011 Criteria: an Alternative to Sentinel Node Biopsy?


Journal

Annals of surgical oncology
ISSN: 1534-4681
Titre abrégé: Ann Surg Oncol
Pays: United States
ID NLM: 9420840

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 12 10 2021
accepted: 13 04 2022
pubmed: 30 4 2022
medline: 7 7 2022
entrez: 29 4 2022
Statut: ppublish

Résumé

To assess the accuracy of preoperative sonographic staging for prediction of limited axillary disease (LAD, one or two metastatic lymph nodes) and to identify factors associated with high prediction-pathology concordance in patients with early-stage breast cancer meeting the Z0011 criteria. Patients treated between January 2015 and January 2020 were included in this retrospective, multicentric analysis of prospectively acquired service databases. The accuracy of LAD prediction was assessed separately for patients with one and two suspicious lymph nodes on preoperative sonography. Test validity outcomes for LAD prediction were calculated for both groups, and a multivariate model was used to identify factors associated with high accuracy of LAD prediction. Of 2059 enrolled patients, 1513 underwent sentinel node biopsy, 436 primary and 110 secondary axillary dissection. For LAD prediction in patients with one suspicious lymph node on preoperative ultrasound, sensitivity was 92% (95% CI 87-95%), negative predictive value (NPV) was 92% (95% CI 87-95%), and the false-negative rate (FNR) was 8% (95% CI 5-13%). For patients with two preoperatively suspicious nodes, the sensitivity, NPV, and FNR were 89% (95% CI 84-93%), 73% (62-83%), and 11% (95% CI 7-16%), respectively. On multivariate analysis, the number of suspicious lymph nodes was associated inversely with correct LAD prediction ([OR 0.01 (95% CI 0.01-0.93), p ≤ 0.01]. Sonographic axillary staging in patients with one metastatic lymph node predicted by preoperative ultrasound showed high accuracy and a false-negative rate comparable to sentinel node biopsy for prediction of limited axillary disease.

Identifiants

pubmed: 35486266
doi: 10.1245/s10434-022-11829-1
pii: 10.1245/s10434-022-11829-1
pmc: PMC9246792
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4764-4772

Informations de copyright

© 2022. The Author(s).

Références

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Auteurs

Julia Caroline Radosa (JC)

Department of Gynaecology and Obstetrics, Saarland University Hospital, Homburg, Saar, Germany. Julia.radosa@uks.eu.

Erich-Franz Solomayer (EF)

Department of Gynaecology and Obstetrics, Saarland University Hospital, Homburg, Saar, Germany.

Martin Deeken (M)

Department of Gynaecology and Obstetrics, Knappschaftsklinikum Puettlingen, Puettlingen, Germany.

Peter Minko (P)

Department for Diagnostic and Interventionel Radiology, Duesseldorf University Hospital, Duesseldorf, Germany.

Julia Sarah Maria Zimmermann (JSM)

Department of Gynaecology and Obstetrics, Saarland University Hospital, Homburg, Saar, Germany.

Askin Canguel Kaya (AC)

Department of Gynaecology and Obstetrics, Saarland University Hospital, Homburg, Saar, Germany.

Marc Philipp Radosa (MP)

Department of Gynaecology & Obstetrics, Klinikum Bremen-Nord, Bremen, Germany.

Lisa Stotz (L)

Department of Gynaecology and Obstetrics, Saarland University Hospital, Homburg, Saar, Germany.

Sarah Huwer (S)

Department of Gynaecology and Obstetrics, Saarland University Hospital, Homburg, Saar, Germany.

Carolin Müller (C)

Department of Gynaecology and Obstetrics, Saarland University Hospital, Homburg, Saar, Germany.

Maria Margarete Karsten (MM)

Charité - University Medicine Berlin, Corporate Member of Freie University Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Department of Gynecology with Breast Center, Berlin Institute of Health, Berlin, Germany.

Gudrun Wagenpfeil (G)

Institute of Medical Biometry, Epidemiology and Medical Informatics, Saarland University Hospital, Homburg, Saar, Germany.

Christoph Georg Radosa (CG)

Department of Gynaecology and Obstetrics, Saarland University Hospital, Homburg, Saar, Germany.
Department of Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany.

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