Morphologic characterization of pulmonary nodules with ultrashort TE MRI at 3T
Objective: Ultrashort TE (UTE) MRI has been shown to deliver high-resolution images comparable to CT images. Here we evaluate the potential of UTE-MRI for precise lung nodule characterization. Subjects and methods: Fifty-one patients (mean [± SD] age, 68.7 ± 10.8 years) with 119 nodules or masses (m...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2018
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| In: |
American journal of roentgenology
Year: 2018, Volume: 210, Issue: 6, Pages: 1216-1225 |
| ISSN: | 1546-3141 |
| DOI: | 10.2214/AJR.17.18961 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.2214/AJR.17.18961 Verlag, lizenzpflichtig, Volltext: https://www.ajronline.org/doi/10.2214/AJR.17.18961 
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| Author Notes: | Mark O. Wielpütz, Ho Yun Lee, Hisanobu Koyama, Takeshi Yoshikawa, Shinichiro Seki, Yuji Kishida, Yasuhiro Sakai, Hans-Ulrich Kauczor, Kazuro Sugimura, Yoshiharu Ohno |
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| 245 | 1 | 0 | |a Morphologic characterization of pulmonary nodules with ultrashort TE MRI at 3T |c Mark O. Wielpütz, Ho Yun Lee, Hisanobu Koyama, Takeshi Yoshikawa, Shinichiro Seki, Yuji Kishida, Yasuhiro Sakai, Hans-Ulrich Kauczor, Kazuro Sugimura, Yoshiharu Ohno |
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| 520 | |a Objective: Ultrashort TE (UTE) MRI has been shown to deliver high-resolution images comparable to CT images. Here we evaluate the potential of UTE-MRI for precise lung nodule characterization. Subjects and methods: Fifty-one patients (mean [± SD] age, 68.7 ± 10.8 years) with 119 nodules or masses (mean size, 17.4 ± 16.3 mm; range, 4–88 mm) prospectively underwent CT (1-mm slice thickness) and UTE-MRI (TE, 192 μs; 1 mm3 resolution). Two radiologists assessed nodule dimensions and morphologic features (i.e., attenuation, margins, and internal lucencies), in consensus for CT and in a blinded fashion for UTE-MRI. Sensitivity, specificity, and kappa statistics were calculated in reference to CT. Results: Readers 1 and 2 underestimated the nodules' long axial diameter with UTEMRI by 1.2 ± 3.4 and 2.1 ± 4.2 mm, respectively (p < 0.001). The sensitivity and specificity of UTE-MRI for subsolid attenuation were 95.9% and 70.3%, respectively, for reader 1 and 97.1% and 71.4%, respectively, for reader 2 (κ = 0.71 and 0.68). With regard to margin characteristics, for lobulation, sensitivity was 70.6% and 54.9%, and specificity was 93.2% and 96.3% for readers 1 and 2, respectively; for spiculation, sensitivity was 61.5% and 48.0%, and specificity was 95.2% and 95.0%; and for pleural tags, sensitivity was 87.0% and 73.3%, and specificity was 93.8% and 95.0%. Finally, for internal lucencies, sensitivity was 72.7% and 61.3%, and specificity was 96.1% and 97.3% for readers 1 and 2, respectively (κ = 0.64–0.81 for reader 1 and 0.48–0.72 for reader 2). Interreader agreement for attenuation, margin characteristics, and lucencies was substantial to almost perfect with few exceptions (κ = 0.51–0.90). Conclusion: UTE-MRI systematically underestimated dimension measurements by approximately 1–2 mm but otherwise showed high diagnostic properties and interreader agreement, yet unprecedented by MRI, for nodule morphologic assessment. | ||
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