Dataset Information

Introduction of a breast apparent diffusion coefficient category system (ADC-B) derived from a large multicenter MRI database.

ABSTRACT:

Objectives

To develop an intuitive and generally applicable system for the reporting, assessment, and documentation of ADC to complement standard BI-RADS criteria.

Methods

This was a multicentric, retrospective analysis of 11 independently conducted institutional review board-approved studies from seven institutions performed between 2007 and 2019. Breast Apparent Diffusion coefficient (ADC-B) categories comprised ADC-B0 (ADC non-diagnostic), ADC-B1 (no enhancing lesion), and ADC-B2-5. The latter was defined by plotting ADC versus cumulative malignancy rates. Statistics comprised ANOVA with post hoc testing and ROC analysis. p values ≤ 0.05 were considered statistically significant.

Results

A total of 1625 patients (age: 55.9 years (± 13.8)) with 1736 pathologically verified breast lesions were included. The mean ADC (× 10^-3 mm²/s) differed significantly between benign (1.45, SD .40) and malignant lesions (.95, SD .39), and between invasive (.92, SD .22) and in situ carcinomas (1.18, SD .30) (p < .001). The following ADC-B categories were identified: ADC-B0-ADC cannot be assessed; ADC-B1-no contrast-enhancing lesion; ADC-B2-ADC ≥ 1.9 (cumulative malignancy rate < 0.1%); ADC-B3-ADC 1.5 to < 1.9 (0.1-1.7%); ADC-B4-ADC 1.0 to < 1.5 (10-24.5%); and ADC-B5-ADC < 1.0 (> 24.5%). At the latter threshold, a positive predictive value of 95.8% (95% CI 0.94-0.97) for invasive versus non-invasive breast carcinomas was reached.

Conclusions

The breast apparent diffusion coefficient system (ADC-B) provides a simple and widely applicable categorization scheme for assessment, documentation, and reporting of apparent diffusion coefficient values in contrast-enhancing breast lesions on MRI.

Clinical relevance statement

The ADC-B system, based on diverse MRI examinations, is clinically relevant for stratifying breast cancer risk via apparent diffusion coefficient measurements, and complements BI-RADS for improved clinical decision-making and patient outcomes.

Key points

• The breast apparent diffusion coefficient category system (ADC-B) is a simple tool for the assessment, documentation, and reporting of ADC values in contrast-enhancing breast lesions on MRI. • The categories comprise ADC-B0 for non-diagnostic examinations, ADC-B1 for examinations without an enhancing lesion, and ADC-B2-5 for enhancing lesions with an increasing malignancy rate. • The breast apparent diffusion coefficient category system may be used to complement BI-RADS in clinical decision-making.

SUBMITTER: Bickel H

PROVIDER: S-EPMC10326122 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Publications

Introduction of a breast apparent diffusion coefficient category system (ADC-B) derived from a large multicenter MRI database.

Bickel Hubert H Clauser Paola P Pinker Katja K Helbich Thomas T Biondic Iva I Brkljacic Boris B Dietzel Matthias M Ivanac Gordana G Krug Barbara B Moschetta Marco M Neuhaus Victor V Preidler Klaus K Baltzer Pascal P

European radiology 20230511 8

<h4>Objectives</h4>To develop an intuitive and generally applicable system for the reporting, assessment, and documentation of ADC to complement standard BI-RADS criteria.<h4>Methods</h4>This was a multicentric, retrospective analysis of 11 independently conducted institutional review board-approved studies from seven institutions performed between 2007 and 2019. Breast Apparent Diffusion coefficient (ADC-B) categories comprised ADC-B0 (ADC non-diagnostic), ADC-B1 (no enhancing lesion), and ADC- ...[more]

PMID: 37166495

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Dataset Information

Introduction of a breast apparent diffusion coefficient category system (ADC-B) derived from a large multicenter MRI database.

Objectives

Methods

Results

Conclusions

Clinical relevance statement

Key points

Publications

Introduction of a breast apparent diffusion coefficient category system (ADC-B) derived from a large multicenter MRI database.

Similar Datasets

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