Absence of residual fluorescence in the surgical bed at near-infrared fluorescence imaging predicts negative margins at final pathology in patients treated with breast-conserving surgery for breast cancer.


Journal

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
ISSN: 1532-2157
Titre abrégé: Eur J Surg Oncol
Pays: England
ID NLM: 8504356

Informations de publication

Date de publication:
02 2021
Historique:
received: 04 07 2020
revised: 13 09 2020
accepted: 28 09 2020
pubmed: 14 11 2020
medline: 21 4 2021
entrez: 13 11 2020
Statut: ppublish

Résumé

Positive margins after breast-conserving surgery (BCS) for breast cancer (BC) remain a major concern. In this study we investigate the feasibility and accuracy of indocyanine green (ICG) fluorescence imaging (FI) for the in vivo assessment of surgical margins during BCS. Patients with BC admitted for BCS from October 2015 to April 2016 were proposed to be included in the present study (NCT02027818). ICG (0.25 mg/kg) was intravenously injected at induction anesthesia and ICG-FI of the surgical beds was correlated with final pathology results. Fifty patients consented to participate and thirty-five patients were retained for final analysis, 15 patients having been excluded for, respectively, incomplete video records data for signal to background ratio (SBR) calculation (11) and in situ tumors (4). The final pathological assessment of 35 breast specimens identified 5 (14.7%) positive margins. Intraoperative ICG-FI revealed hyperfluorescent signals in 15 (42.9%) patients and an absence of fluorescent signals in 20 (57.1%). Median SBR in patients with involved margins was 1.8 (SD 0.7) and was 1.25 (SD 0.6) in patients with clear margins (p = 0.05). The accuracy, specificity, positive and negative predictive value of ICG-FI for breast surgical margin assessment were 71%, 60%, 29% and 100%, respectively. ICG-FI of BC surgical beds has a high negative predictive value for surgical margin assessment during BCS. The absence of residual fluorescence in the surgical bed of patients with fluorescent tumors predicts negative margins at final pathology and allows the surgeon to avoid further intraoperative analysis.

Identifiants

pubmed: 33183928
pii: S0748-7983(20)30808-8
doi: 10.1016/j.ejso.2020.09.036
pii:
doi:

Substances chimiques

Coloring Agents 0
Indocyanine Green IX6J1063HV

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

269-275

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Auteurs

Florin-Catalin Pop (FC)

Department of Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Isabelle Veys (I)

Department of Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Sophie Vankerckhove (S)

Department of Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium; Clinical Trials Unit, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Romain Barbieux (R)

Department of Nuclear Medicine, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Marie Chintinne (M)

Department of Pathology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Michel Moreau (M)

Data Centre (statistics), Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Vincent Donckier (V)

Department of Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Denis Larsimont (D)

Department of Pathology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Pierre Bourgeois (P)

Department of Nuclear Medicine, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Gabriel Liberale (G)

Department of Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium. Electronic address: gabriel.liberale@bordet.be.

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Classifications MeSH