Accuracy of MRI volume measurements of breast lesions: comparison between automated, semiautomated and manual assessment

被引:10
作者
Rominger, Marga B. [1 ]
Fournell, Daphne [1 ]
Nadar, Beenarose Thanka [1 ]
Behrens, Sarah N. M. [2 ]
Figiel, Jens H. [1 ]
Keil, Boris [1 ]
Heverhagen, Johannes T. [1 ]
机构
[1] Univ Marburg, Dept Radiol, D-35033 Marburg, Germany
[2] MeVis GmbH, D-28359 Bremen, Germany
关键词
Breast neoplasms; Diagnosis; Magnetic resonance (MR); Contrast enhancement; Tumour volume measurements; COMPUTER-AIDED DETECTION; LUNG NODULE VOLUMETRY; PULMONARY NODULES; NEOADJUVANT CHEMOTHERAPY; INTEROBSERVER-VARIABILITY; INTRAOBSERVER VARIABILITY; TREATMENT RESPONSE; CT VOLUMETRY; SOLID TUMORS; CANCER;
D O I
10.1007/s00330-008-1243-z
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The aim of this study was to investigate the efficacy of a dedicated software tool for automated and semiautomated volume measurement in contrast-enhanced (CE) magnetic resonance mammography (MRM). Ninety-six breast lesions with histopathological workup (27 benign, 69 malignant) were re-evaluated by different volume measurement techniques. Volumes of all lesions were extracted automatically (AVM) and semiautomatically (SAVM) from CE 3D MRM and compared with manual 3D contour segmentation (manual volume measurement, MVM, reference measurement technique) and volume estimates based on maximum diameter measurement (MDM). Compared with MVM as reference method MDM, AVM and SAVM underestimated lesion volumes by 63.8%, 30.9% and 21.5%, respectively, with significantly different accuracy for benign (102.4%, 18.4% and 11.4%) and malignant (54.9%, 33.0% and 23.1%) lesions (p < 0.05). Inter- and intraobserver reproducibility was best for AVM (mean difference +/- 2SD, 1.0 +/- 9.7% and 1.8 +/- 12.1%) followed by SAVM (4.3 +/- 25.7% and 4.3 +/- 7.9%), MVM (2.3 +/- 38.2% and 8.6 +/- 31.8%) and MDM (33.9 +/- 128.4% and 9.3 +/- 55.9%). SAVM is more accurate for volume assessment of breast lesions than MDM and AVM. Volume measurement is less accurate for malignant than benign lesions.
引用
收藏
页码:1097 / 1107
页数:11
相关论文
共 28 条
[1]   Preoperative evaluation of residual tumor extent by three-dimensional magnetic resonance imaging in breast cancer patients treated with neoadjuvant chemotherapy [J].
Akazawa, K ;
Tamaki, Y ;
Taguchi, T ;
Tanji, Y ;
Miyoshi, Y ;
Kim, SJ ;
Ueda, S ;
Yanagisawa, T ;
Sato, Y ;
Tamura, S ;
Noguchi, S .
BREAST JOURNAL, 2006, 12 (02) :130-137
[2]   MRI accuracy in residual disease evaluation in breast cancer patients treated with neoadjuvant chemotherapy [J].
Belli, P. ;
Costantini, M. ;
Malaspina, C. ;
Magistrelli, A. ;
LaTorre, G. ;
Bonomo, L. .
CLINICAL RADIOLOGY, 2006, 61 (11) :946-953
[3]   Inter- and intraobserver variability in the evaluation of dynamic breast cancer MRI [J].
Beresford, Mark J. ;
Padhani, Anwar R. ;
Taylor, N. Jane ;
Ah-See, Mei-Lin ;
Stirling, J. James ;
Makris, Andreas ;
d'Arcy, James A. ;
Collins, David J. .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2006, 24 (06) :1316-1325
[4]   Measuring agreement in method comparison studies [J].
Bland, JM ;
Altman, DG .
STATISTICAL METHODS IN MEDICAL RESEARCH, 1999, 8 (02) :135-160
[5]   Interobserver-variability of lung nodule volumetry considering different segmentation algorithms and observer training levels [J].
Bolte, H. ;
Jahnke, T. ;
Schaefer, F. K. W. ;
Wenke, R. ;
Hoffmann, B. ;
Freitag-Wolf, S. ;
Dicken, V. ;
Kuhnigk, J. M. ;
Lohmann, J. ;
Voss, S. ;
Knoess, N. ;
Heller, M. ;
Biederer, J. .
EUROPEAN JOURNAL OF RADIOLOGY, 2007, 64 (02) :285-295
[6]   Computed tomography-based lung nodule volumetry -: Do optimized reconstructions of routine protocols achieve similar accuracy, reproducibility and interobserver variability to that of special volumetry protocols? [J].
Bolte, H. ;
Riedel, C. ;
Knoess, N. ;
Freitag, S. ;
Hoffmann, B. ;
Heller, M. ;
Biederer, J. .
ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2007, 179 (03) :276-281
[7]   OncoTREAT: a software assistant for cancer therapy monitoring [J].
Bornemann, Lars ;
Dicken, Volker ;
Kuhnigk, Jan-Martin ;
Wormanns, Dag ;
Shin, Hoen-Oh ;
Bauknecht, Hans-Christian ;
Diehl, Volker ;
Fabel, Michael ;
Meier, Stefan ;
Kress, Oliver ;
Krass, Stefan ;
Peitgen, Heinz-Otto .
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2007, 1 (05) :231-242
[8]  
Cotran RS, 1994, PATHOLOGIC BASIS DIS, P1089
[9]   Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: Implications for assessment of tumor response [J].
Erasmus, JJ ;
Gladish, GW ;
Broemeling, L ;
Sabloff, BS ;
Truong, MT ;
Herbst, RS ;
Munden, RF .
JOURNAL OF CLINICAL ONCOLOGY, 2003, 21 (13) :2574-2582
[10]   Detection of pulmonary nodules by multislice computed tomography: improved detection rate with reduced slice thickness [J].
Fischbach, F ;
Knollmann, F ;
Griesshaber, V ;
Freund, T ;
Akkol, E ;
Felix, R .
EUROPEAN RADIOLOGY, 2003, 13 (10) :2378-2383