Role of Magnetic Resonance Imaging in the Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy.


Journal

In vivo (Athens, Greece)
ISSN: 1791-7549
Titre abrégé: In Vivo
Pays: Greece
ID NLM: 8806809

Informations de publication

Date de publication:
Historique:
received: 26 11 2019
revised: 12 12 2019
accepted: 18 12 2019
entrez: 1 3 2020
pubmed: 1 3 2020
medline: 15 12 2020
Statut: ppublish

Résumé

The aim of the study was to evaluate whether residual tumor assessment by magnetic resonance imaging (MRI) after neoadjuvant chemotherapy (NACT) is fundamental for a successive surgical strategy. We collected 55 MRIs performed after NACT. Pathological response rate was 20%. MRI's sensitivity, specificity, PPV and NPV were 50%, 88%, 54% and 86%, respectively. We observed a high variability between the different subgroups, with high number of false positives in luminal A/B tumors. Triple negative and HER2+ tumors had almost the same specificity and sensitivity (81% and 50%). Nevertheless, in the HER2+ group, PPV was greater than that in the triple negative group (71% and 33% respectively) and the NPV of the triple negative group was greater than that of the HER2+ one (90% and 64%, respectively). Statistical analysis showed a weak but significant correlation between MRI and pathological assessment of residual tumor dimension. The present study, confirms literature data about MRI accuracy in diagnosing HER2+ and triple negative tumors, but suggests caution in case of luminal tumors' evaluation.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
The aim of the study was to evaluate whether residual tumor assessment by magnetic resonance imaging (MRI) after neoadjuvant chemotherapy (NACT) is fundamental for a successive surgical strategy.
PATIENTS AND METHODS METHODS
We collected 55 MRIs performed after NACT.
RESULTS RESULTS
Pathological response rate was 20%. MRI's sensitivity, specificity, PPV and NPV were 50%, 88%, 54% and 86%, respectively. We observed a high variability between the different subgroups, with high number of false positives in luminal A/B tumors. Triple negative and HER2+ tumors had almost the same specificity and sensitivity (81% and 50%). Nevertheless, in the HER2+ group, PPV was greater than that in the triple negative group (71% and 33% respectively) and the NPV of the triple negative group was greater than that of the HER2+ one (90% and 64%, respectively). Statistical analysis showed a weak but significant correlation between MRI and pathological assessment of residual tumor dimension.
CONCLUSION CONCLUSIONS
The present study, confirms literature data about MRI accuracy in diagnosing HER2+ and triple negative tumors, but suggests caution in case of luminal tumors' evaluation.

Identifiants

pubmed: 32111803
pii: 34/2/909
doi: 10.21873/invivo.11857
pmc: PMC7157867
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

909-915

Informations de copyright

Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Références

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Auteurs

Giorgia Pasquero (G)

Gynecology and Obstetrics 1, Department of Surgical Sciences, City of Health and Science, University of Turin, Turin, Italy.

Alessandra Surace (A)

Gynecology and Obstetrics 2, Department of Surgical Sciences, City of Health and Science, University of Turin, Turin, Italy alessandra.sur@gmail.com.

Antonio Ponti (A)

AOU Città della Salute e della Scienza, CPO Piemonte and EUSOMA Data Centre, Turin, Italy.

Massimiliano Bortolini (M)

Breast Unit Surgery, Martini Hospital, Turin, Italy.

Donatella Tota (D)

Radiology, Department of Diagnostic Imaging and Radiotherapy, City of Health and Science, University of Turin, Turin, Italy.

Maria Piera Mano (MP)

AOU Città della Salute e della Scienza, CPO Piemonte and EUSOMA Data Centre, Turin, Italy.

Riccardo Arisio (R)

Pathology, Department of Laboratory Medicine, City of Health and Science, University of Turin, Turin, Italy.

Chiara Benedetto (C)

Gynecology and Obstetrics 1, Department of Surgical Sciences, City of Health and Science, University of Turin, Turin, Italy.

Maria Grazia Baù (MG)

Gynecology and Obstetrics 3, Department of Surgical Sciences, City of Health and Science, University of Turin, Turin, Italy.

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Classifications MeSH