The new magnetic resonance whole body diffusion-weighted imaging with background body signal suppression (DWIBS) uses short tau inversion recovery-echo planar imaging sequence under normal respiration. DWIBS is different from 2-[fluorine-18]-fluoro-2-deoxy-d-glucose positron emission tomography (18F-FDG PET) imaging in technology, but their images are similar. We compared the two modalities regarding the detection and characterization of malignant tumors.
DWIBS and 18F-FDG PET/computed tomography (CT) were performed on 16 cancer patients on the same day. The diagnoses were the following: lung cancer (n = 12), colon cancer (n = 2), breast cancer (n = 1), and pulmonary metastasis (n = 1). A total of 27 malignant tumors (15 lung cancer, 5 pulmonary metastases of parathyroid cancer, 3 pulmonary metastases of lung cancer, 3 colon cancer, 1 breast cancer) and seven reference organs around malignant lesions (two liver regions, four normal lymph nodes, one muscle region) were evaluated visually and quantitatively using the apparent diffusion coefficient (ADC) (×10−3 mm2/s) and standardized uptake value (SUV).
Twenty-five (92.6%) of the 27 malignant lesions were detected visually with DWIBS imaging in contrast to 22 malignant tumors (81.5%) with 18F-FDG PET/CT imaging. The quantitative evaluation showed that there was a significant difference between the mean SUVs of the reference organs (n = 7, 1.48 ± 0.62) and the malignant (n = 22, 5.36 ± 2.80) lesions (P < 0.01). However, there was no significant difference between the mean ADCs of the reference organs (n = 7, 1.54 ± 0.24) and the malignant (n = 25, 1.18 ± 0.70) lesions.
DWIBS can be used for the detection of malignant tumors or benign tumors; however, it may be difficult to differentiate between benign and malignant lesions by ADC.
Positron emission tomography/computed tomography Fluorodeoxyglucose Diffusion-weighted magnetic resonance imaging Oncology
This is a preview of subscription content, log in to check access.
Wahl, RL, Quint, LE, Greenough, RL, Meyer, CR, White, RI, Orringer, MB 1994Staging of mediastinal non-small cell lung cancer with FDG PET, CT, and fusion images: preliminary prospective evaluationRadiology1913717PubMedGoogle Scholar
Bar-Shalom, R, Yefremov, N, Guralnik, L, Gaitini, D, Frenkel, A, Kuten, A, et al. 2003Clinical performance of PET/CT in evaluation of cancer: additional value for diagnostic imaging and patient managementJ Nucl Med4412009PubMedGoogle Scholar
Lardinois, D, Weder, W, Hany, TF, Kamel, EM, Korom, S, Seifert, B, et al. 2003Staging of non-small-cell lung cancer with integrated positron-emission tomography and computed tomographyN Engl J Med34825007PubMedCrossRefGoogle Scholar
Yuan, S, Yu, Y, Chao, KS, Fu, Z, Yin, Y, Liu, T, et al. 2006Additional value of PET/CT over PET in assessment of locoregional lymph nodes in thoracic esophageal squamous cell cancerJ Nucl Med4712559PubMedGoogle Scholar
von Schulthess, GK, Steinert, HC, Hany, TF 2006Integrated PET/CT: current applications and future directionsRadiology23840522PubMedCrossRefGoogle Scholar
Metser, U, Miller, E, Lerman, H, Lievshitz, G, Avital, S, Even-Sapir, E 200618F-FDG PET/CT in the evaluation of adrenal massesJ Nucl Med47327PubMedGoogle Scholar
Warach, S, Chien, D, Li, W, Ronthal, M, Edelman, RR 1992Fast magnetic resonance diffusion-weighted imaging of acute human strokeNeurology42171723PubMedGoogle Scholar
Kim, T, Murakami, T, Takahashi, S, Hori, M, Tsuda, K, Nakamura, H 1999Diffusion-weighted single-shot echo planar MR imaging for liver diseaseAJR1733938PubMedGoogle Scholar
Hargaden, G, O'Connell, M, Kavanagh, E, Powell1, T, Ward, R, Eustace, S 2003Current concepts in whole-body imaging using turbo short tau inversion recovery MR imagingAJR18024752PubMedGoogle Scholar
Eustace, S, Tello, R, Yucel, EK 1998Whole-body turbo STIR MR imaging in unknown primary tumour detectionJ Magn Reson Imag87513CrossRefGoogle Scholar
Taouli, B, Vilgrain, V, Dumont, E, Daire, JL, Fan, B, Menu, Y 2003Evaluation of liver diffusion isotrophy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences: prospective study in 66 patientsRadiology226718PubMedCrossRefGoogle Scholar
Namimoto, T, Yamashita, Y, Sumi, S, Tang, Y, Takahashi, M 1997Focal liver masses: characterization with diffusion-weighted echo-planar MR imagingRadiology20473944PubMedGoogle Scholar
Takahara, T, Imai, Y, Yamashita, T, Yasuda, S, Nasu, S, Van Cauteren, M 2004Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D displayRad Med2227582Google Scholar
Thoeny, HC, Keyzer, FD, Oyen, RH, Peeters, RR 2005Diffusion-weighted MR imaging of kidneys in healthy volunteers and patients with parenchymal diseases: initial experienceRadiology2359117PubMedCrossRefGoogle Scholar
Issa, B 2002In vivo measurement of the apparent diffusion coefficient in normal and malignant prostatic tissues using echo-planar imagingJ Magn Reson Imag16196200CrossRefGoogle Scholar
Toyoshima, S, Noguchi, K, Seto, H, Shimizu, M, Watanabe, N 2000Functional evaluation of hydronephrosis by diffusion-weighted MR imaging: relationship between apparent diffusion coefficient and split glomerular rateActa Radiologica416426PubMedCrossRefGoogle Scholar
Nasu, K, Kuroki, Y, Kuroki, S, Murakami, K, Nawano, S, Moriyama, N 2004Diffusion-weighted single shot planar imaging of colorectal cancer using a sensitivity-encoding techniqueJpn J Clin Oncol346206PubMedCrossRefGoogle Scholar
Nasu, K, Kuroki, Y, Nawano, S, Kuroki, S, Tsukamoto, T, Yamamoto, S, et al. 2006Hepatic metastases: diffusion-weighted sensitivity-encoding versus SPIO-enhanced MR imagingRadiology23912230PubMedCrossRefGoogle Scholar