Applicability and discriminative value of a semiautomatic three-dimensional spherical volume for the assessment of the apparent diffusion coefficient in suspicious breast lesions-feasibility study.
BACKGROUND
To evaluate the feasibility and accuracy of a semiautomatic, three-dimensional volume of interest (3D sphere) for measuring the apparent diffusion coefficient (ADC) in suspicious breast lesions compared to conventional single-slice two-dimensional regions of interest (2D ROIs).


METHODS
This institutional-review-board-approved study included 56 participants with Breast Imaging Reporting and Data System 4/5 lesion. All received diffusion-weighted imaging magnetic resonance imaging prior to biopsy (b=0-1500 s/mm2). ADC values were measured in the lesions with both methods. Reproducibility and accuracies were compared.


RESULTS
Area under the curve was 0.93 [95% confidence interval (CI) 0.86-0.99] for the 3D sphere and 0.91 (95% CI 0.84-0.98) for the 2D ROIs without significantly differing reproducibility (P=.45).


CONCLUSIONS
A semiautomatic 3D sphere could reliably estimate ADC values in suspicious breast lesions without significant difference compared to conventional 2D ROIs.
German Cancer Research Center (dkfz), Junior Group Medical Image Computing, Heidelberg, Im Neuenheimer Feld 280, 69120 Heidelberg.
Jan
J
Hering
German Cancer Research Center (dkfz), Medical Physics in Radiology, Heidelberg Im Neuenheimer Feld 280, 69120 Heidelberg.
Frederik Bernd
FB
Laun
Radiological Practice at the ATOS Clinic Heidelberg, Heidelberg, Bismarckplatz 9-15, 69123 Heidelberg.
Wolfgang
W
Lederer
Radiology Center Mannheim (RZM), Mannheim, Rosengartenplatz 7, 61818 Mannheim.
Heidi
H
Daniel
German Cancer Research Center (dkfz), Medical Physics in Radiology, Heidelberg Im Neuenheimer Feld 280, 69120 Heidelberg.
Tristan Anselm
TA
Kuder
University Hospital Heidelberg, Department of Clinical and Interventional Radiology, Heidelberg, Im Neuenheimer Feld 400, 69120 Heidelberg.
Anne
A
Stieber
German Cancer Research Center (dkfz), Department of Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg.
Stefan
S
Delorme
German Cancer Research Center (dkfz), Junior Group Medical Image Computing, Heidelberg, Im Neuenheimer Feld 280, 69120 Heidelberg.
Klaus H
KH
Maier-Hein
German Cancer Research Center (dkfz), Department of Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg.
Heinz-Peter
HP
Schlemmer
German Cancer Research Center (dkfz), Department of Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg. Electronic address: S.Bickelhaupt@dkfz.de.
Sebastian
S
Bickelhaupt
D001706:Biopsy; D001940:Breast / Q000000981:diagnostic imaging* / Q000473:pathology; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008875:Middle Aged; D012372:ROC Curve; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity
Automatic lesion analysis; Breast MRI; Breast cancer; Diffusion-weighted imaging (DWI); Spherical metrics