Diagnostic accuracy of whole-body MRI/DWI image fusion for detection of malignant tumours:  a comparison with PET/CT

Diagnostic accuracy of whole-body MRI/DWI image fusion for detection of malignant tumours: a comparison with PET/CT

  • نوع فایل : کتاب
  • زبان : انگلیسی
  • مؤلف : Michael A. Fischer & Daniel Nanz & Thomas Hany & Caecilia S. Reiner & Paul Stolzmann & Olivio F. Donati & Stefan Breitenstein & Paul Schneider & Domin
  • چاپ و سال / کشور: 2010

Description

Objective To prospectively evaluate the diagnostic accuracy of whole-body T2-weighted (wbT2), whole-body diffusion-weighted imaging (wbDWI) and wbT2/wbDWI image fusion for malignant tumour detection compared with PET/CT. Methods Sixty-eight patients (44 men; 60±14 years) underwent PET/CT for staging of malignancy and were consecutively examined by 1.5-Tesla MRI including wbT2 and wbDWI. Two radiologists independently assessed wbDWI, wbT2, wbT2 + wbDWI (side-by-side) and wbT2 + wbDWI + wbT2/wbDWI image fusion for the presence of malignancy. PET/CT served as a reference standard. Results PET/CT revealed 374 malignant lesions in 48/64 (75%) patients. Detection rates and positive predictive value (PPV) of wbT2 and wbDWI alone were 64% and 84%, and 57% and 93%, respectively. Detection rates and PPV of wbT2 and wbDWI for side-by-side analysis without and with fused images were 72% and 89%, and 74% and 91%, respectively. The detection rate was significantly higher with side-by-side analysis and fused image analysis compared with wbT2 and wbDWI alone (p=.0159; p<.0001). There was no significant difference between fused image interpretation and side-by-side analysis. Conclusions WbDWI allows detection of malignant lesions with a similar detection rate to wbT2. Side-by-side analysis of wbT2 and wbDWI significantly improves the overall detection rate and fused image data provides no added value.
Eur Radiol (2011) 21:246–255 DOI 10.1007/s00330-010-1929-x Received: 6 May 2010 / Revised: 15 July 2010 / Accepted: 21 July 2010 / Published online: 18 August 2010
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