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2 results on '"Quist MJ"'

1. Improved interobserver agreement for visual detection of active T2 lesions on serial MR scans in multiple sclerosis using image registration.

Author

Tan IL, van Schijndel RA, Fazekas F, Filippi M, Freitag P, Miller DH, Yousry TA, Pouwels PJ, Adèr HJ, Quist MJ, and Barkhof F

Subjects
Adult, Female, Humans, Male, Middle Aged, Observer Variation, Random Allocation, Algorithms, Brain pathology, Magnetic Resonance Imaging methods, Multiple Sclerosis, Relapsing-Remitting diagnosis
Abstract

The aim of this study was to analyse the effect of image registration on interobserver agreement in the visual detection of active multiple sclerosis (MS) lesions from serial magnetic resonance (MR) scans. T2W spin-echo MR scans (3-mm slices) of 16 MS patients participating in a treatment trial were selected. For each patient, two pairs of scans were used: an original (i. e., non-registered) and a registered pair. For the original pair, baseline and month 6 were used, and for the registered pair month 3 and 9. For registration an automatic matching algorithm based on Mutual Information was used. Six observers identified active lesions on both original and registered scans. Kappa values were calculated to assess interobserver agreement. Reslicing caused a slight blurring of the images, but near perfect registration. The kappa value of 0.35 +/- 0.07 for new lesions on original images improved to 0.62 (+/- 0.06) by registration (p = 0.004). For enlarging lesions on original images it was extremely poor (kappa 0.11 +/- 0.05), and did not benefit much by registration (kappa 0.20 +/- 0.11). Thus, image registration improved interobserver agreement for visual detection of new lesions. For enlarging lesions, registration improved agreement but still not to a satisfactory level.

Published
2001
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2. Improved interobserver agreement for visual detection of active T2 lesions on serial MR scans in multiple sclerosis using image registration

Author

Peter Freitag, Petra J. W. Pouwels, Hermann J. Adèr, Frederik Barkhof, I. Leng Tan, Franz Fazekas, Massimo Filippi, Ronald A. van Schijndel, Tarek A. Yousry, David Miller, Marcel Quist, Radiology and nuclear medicine, Physics and medical technology, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Amsterdam Neuroscience - Neurodegeneration, Amsterdam Neuroscience - Neuroinfection & -inflammation, CCA - Cancer biology and immunology, Tan, Il, van Schijndel, Ra, Fazekas, F, Filippi, Massimo, Freitag, P, Miller, Dh, Yousry, Ta, Pouwels, Pjw, Ader, Hj, Quist, Mj, and Barkhof, F.

Subjects
Adult, Male, Image registration, Random Allocation, Multiple Sclerosis, Relapsing-Remitting, Treatment trial, medicine, Humans, Neuroradiology, Observer Variation, medicine.diagnostic_test, business.industry, Multiple sclerosis, Brain, Magnetic resonance imaging, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Visual detection, Neurology, T2 lesions, Female, Neurology (clinical), Nuclear medicine, business, Algorithms, Kappa
Abstract

The aim of this study was to analyse the effect of image registration on interobserver agreement in the visual detection of active multiple sclerosis (MS) lesions from serial magnetic resonance (MR) scans. T2W spin-echo MR scans (3-mm slices) of 16 MS patients participating in a treatment trial were selected. For each patient, two pairs of scans were used: an original (i. e., non-registered) and a registered pair. For the original pair, baseline and month 6 were used, and for the registered pair month 3 and 9. For registration an automatic matching algorithm based on Mutual Information was used. Six observers identified active lesions on both original and registered scans. Kappa values were calculated to assess interobserver agreement. Reslicing caused a slight blurring of the images, but near perfect registration. The kappa value of 0.35 ± 0.07 for new lesions on original images improved to 0.62 (± 0.06) by registration (p = 0.004). For enlarging lesions on original images (it was extremely poor (κ 0.11 ± 0.05), and did not benefit much by registration (κ 0.20 ± 0.11). Thus, image registration improved interobserver agreement for visual detection of new lesions. For enlarging lesions, registration improved agreement but still not to a satisfactory level.

Published
2001

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