Could breast multiparametric MRI discriminate between pure ductal carcinoma in situ and microinvasive carcinoma?

Breast cancer clustered ring enhancement ductal carcinoma in situ microinvasion microinvasive carcinoma multiparametric magnetic resonance imaging

Journal

Acta radiologica (Stockholm, Sweden : 1987)
ISSN: 1600-0455
Titre abrégé: Acta Radiol
Pays: England
ID NLM: 8706123

Informations de publication

Date de publication:
09 Jan 2024
Historique:
medline: 10 1 2024
pubmed: 10 1 2024
entrez: 10 1 2024
Statut: aheadofprint

Résumé

Ductal carcinoma in situ (DCIS) is often reclassified as invasive cancer in the final pathology report of the surgical specimen. It is of significant clinical relevance to acknowledge the possibility of underestimating invasive disease when utilizing preoperative biopsies for a DCIS diagnosis. In cases where such histologic upgrades occur, it is imperative to consider them in the preoperative planning process, including the potential inclusion of sentinel lymph node biopsy due to the risk of axillary lymph node metastasis. To assess the capability of breast multiparametric magnetic resonance imaging (MP-MRI) in differentiating between pure DCIS and microinvasive carcinoma (MIC). Between January 2018 and November 2022, this retrospective study enrolled patients with biopsy-proven DCIS who had undergone preoperative breast MP-MRI. We assessed various MP-MRI features, including size, morphology, margins, internal enhancement pattern, extent of disease, presence of peritumoral edema, time-intensity curve value, diffusion restriction, and ADC value. Subsequently, a logistic regression analysis was conducted to explore the association of these features with the pathological outcome. Of 129 patients with biopsy-proven DCIS, 36 had foci of micro-infiltration on surgical specimens and eight were diagnosed with invasive ductal carcinoma (IDC). The presence of micro-infiltration foci was significantly associated with several MP-MRI features, including tumor size ( Breast MP-MRI has the potential to predict the presence of micro-infiltration foci in biopsy-proven DCIS and may serve as a valuable tool for guiding therapeutic planning.

Sections du résumé

BACKGROUND BACKGROUND
Ductal carcinoma in situ (DCIS) is often reclassified as invasive cancer in the final pathology report of the surgical specimen. It is of significant clinical relevance to acknowledge the possibility of underestimating invasive disease when utilizing preoperative biopsies for a DCIS diagnosis. In cases where such histologic upgrades occur, it is imperative to consider them in the preoperative planning process, including the potential inclusion of sentinel lymph node biopsy due to the risk of axillary lymph node metastasis.
PURPOSE OBJECTIVE
To assess the capability of breast multiparametric magnetic resonance imaging (MP-MRI) in differentiating between pure DCIS and microinvasive carcinoma (MIC).
MATERIAL AND METHODS METHODS
Between January 2018 and November 2022, this retrospective study enrolled patients with biopsy-proven DCIS who had undergone preoperative breast MP-MRI. We assessed various MP-MRI features, including size, morphology, margins, internal enhancement pattern, extent of disease, presence of peritumoral edema, time-intensity curve value, diffusion restriction, and ADC value. Subsequently, a logistic regression analysis was conducted to explore the association of these features with the pathological outcome.
RESULTS RESULTS
Of 129 patients with biopsy-proven DCIS, 36 had foci of micro-infiltration on surgical specimens and eight were diagnosed with invasive ductal carcinoma (IDC). The presence of micro-infiltration foci was significantly associated with several MP-MRI features, including tumor size (
CONCLUSION CONCLUSIONS
Breast MP-MRI has the potential to predict the presence of micro-infiltration foci in biopsy-proven DCIS and may serve as a valuable tool for guiding therapeutic planning.

Identifiants

pubmed: 38196268
doi: 10.1177/02841851231225807
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2841851231225807

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Veronica Rizzo (V)

Department of Radiological, Oncological and Pathological Sciences; Sapienza, University of Rome, Rome, Italy.

Federica Cicciarelli (F)

Department of Radiological, Oncological and Pathological Sciences; Sapienza, University of Rome, Rome, Italy.

Francesca Galati (F)

Department of Radiological, Oncological and Pathological Sciences; Sapienza, University of Rome, Rome, Italy.

Giuliana Moffa (G)

Department of Radiological, Oncological and Pathological Sciences; Sapienza, University of Rome, Rome, Italy.

Roberto Maroncelli (R)

Department of Radiological, Oncological and Pathological Sciences; Sapienza, University of Rome, Rome, Italy.

Marcella Pasculli (M)

Department of Radiological, Oncological and Pathological Sciences; Sapienza, University of Rome, Rome, Italy.

Federica Pediconi (F)

Department of Radiological, Oncological and Pathological Sciences; Sapienza, University of Rome, Rome, Italy.

Classifications MeSH