Relationship of temporal resolution to diagnostic performance for dynamic contrast enhanced MRI of the breast

Riham H. El Khouli, Katarzyna Macura, Peter B Barker, Mohamed R. Habba, Michael Jacobs, David A. Bluemke

Research output: Contribution to journalArticle

Abstract

Purpose: To investigate the relationship between temporal resolution of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and classification of breast lesions as benign versus malignant. Materials and Methods: Patients underwent T1-weighted DCE MRI with 15 s/acquisition temporal resolution using 1.5 Tesla (n = 48) and 3.0T (n = 33) MRI scanners. Seventy-nine patients had pathologically proven diagnosis and 2 had 2 years follow-up showing no change in lesion size. The temporal resolution of DCE MRI was systematically reduced as a postprocessing step from 15 to 30, 45, and 60 s/acquisition by eliminating intermediate time points. Average wash-in and wash-out slopes, wash-out percentage changes, and kinetic curve shape (persistently enhancing, plateau, or wash-out) were compared for each temporal resolution. Logistic regression and receiver operating characteristic (ROC) curve analysis were used to compare kinetic parameters and diagnostic accuracy. Results: Sixty patients (74%) had malignant lesions and 21 patients (26%) had benign lesions. All temporal-resolution parameters significantly predicted benign versus malignant diagnosis (P <0.05). However, 45 s/acquisition and higher temporal-resolution datasets showed higher accuracy than the 60 s/acquisition dataset by ROC curve analysis (0.72 versus 0.69 for average wash-in slope; 0.85 versus 0.82, for average wash-out slope; and 0.88 versus 0.80 for kinetic curve shape assessment, for 45 s/acquisition versus 60 s/acquisition temporal-resolution datasets, respectively (P = 0.027). Conclusion: DCE MRI data with at least 45-s temporal resolution maximized the agreement between the kinetic parameters and correct classification of benign versus malignant diagnosis.

Original languageEnglish (US)
Pages (from-to)999-1004
Number of pages6
JournalJournal of Magnetic Resonance Imaging
Volume30
Issue number5
DOIs
StatePublished - Nov 2009

Fingerprint

Breast
Magnetic Resonance Imaging
ROC Curve
Logistic Models
Datasets

Keywords

  • Breast
  • Dynamic contrast enhanced (DCE)
  • Kinetic curve
  • Magnetic resonance imaging (MRI)
  • Temporal resolution
  • Wash-in
  • Wash-out

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Relationship of temporal resolution to diagnostic performance for dynamic contrast enhanced MRI of the breast. / El Khouli, Riham H.; Macura, Katarzyna; Barker, Peter B; Habba, Mohamed R.; Jacobs, Michael; Bluemke, David A.

In: Journal of Magnetic Resonance Imaging, Vol. 30, No. 5, 11.2009, p. 999-1004.

Research output: Contribution to journalArticle

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abstract = "Purpose: To investigate the relationship between temporal resolution of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and classification of breast lesions as benign versus malignant. Materials and Methods: Patients underwent T1-weighted DCE MRI with 15 s/acquisition temporal resolution using 1.5 Tesla (n = 48) and 3.0T (n = 33) MRI scanners. Seventy-nine patients had pathologically proven diagnosis and 2 had 2 years follow-up showing no change in lesion size. The temporal resolution of DCE MRI was systematically reduced as a postprocessing step from 15 to 30, 45, and 60 s/acquisition by eliminating intermediate time points. Average wash-in and wash-out slopes, wash-out percentage changes, and kinetic curve shape (persistently enhancing, plateau, or wash-out) were compared for each temporal resolution. Logistic regression and receiver operating characteristic (ROC) curve analysis were used to compare kinetic parameters and diagnostic accuracy. Results: Sixty patients (74{\%}) had malignant lesions and 21 patients (26{\%}) had benign lesions. All temporal-resolution parameters significantly predicted benign versus malignant diagnosis (P <0.05). However, 45 s/acquisition and higher temporal-resolution datasets showed higher accuracy than the 60 s/acquisition dataset by ROC curve analysis (0.72 versus 0.69 for average wash-in slope; 0.85 versus 0.82, for average wash-out slope; and 0.88 versus 0.80 for kinetic curve shape assessment, for 45 s/acquisition versus 60 s/acquisition temporal-resolution datasets, respectively (P = 0.027). Conclusion: DCE MRI data with at least 45-s temporal resolution maximized the agreement between the kinetic parameters and correct classification of benign versus malignant diagnosis.",
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