1. Efficacy of Ultrashort Echo Time Pulmonary MRI for Lung Nodule Detection and Lung-RADS Classification
- Author
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Takahiro Ueda, Hiroshi Toyama, Chika Shigemura, Masao Yui, Nayu Hamabuchi, Hirotaka Ikeda, Daisuke Takenaka, Hidekazu Hattori, Yoshiharu Ohno, Takeshi Yoshikawa, Kaori Yamamoto, Kazuhiro Murayama, Hisanobu Koyama, and Ayumi Watanabe
- Subjects
Male ,medicine.medical_specialty ,Nodule detection ,education.field_of_study ,Lung Neoplasms ,Lung ,business.industry ,Population ,Middle Aged ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,medicine ,Humans ,Multiple Pulmonary Nodules ,Female ,Radiology, Nuclear Medicine and imaging ,Ultrashort echo time ,Prospective Studies ,Radiology ,Tomography, X-Ray Computed ,business ,education ,Early Detection of Cancer - Abstract
Background Pulmonary MRI with ultrashort echo time (UTE) has been compared with chest CT for nodule detection and classification. However, direct comparisons of these methods' capabilities for Lung CT Screening Reporting and Data System (Lung-RADS) evaluation remain lacking. Purpose To compare the capabilities of pulmonary MRI with UTE with those of standard- or low-dose thin-section CT for Lung-RADS classification. Materials and Methods In this prospective study, standard- and low-dose chest CT (270 mA and 60 mA, respectively) and MRI with UTE were used to examine consecutive participants enrolled between January 2017 and December 2020 who met American College of Radiology Appropriateness Criteria for lung cancer screening with low-dose CT. Probability of nodule presence was assessed for all methods with a five-point visual scoring system by two board-certified radiologists. All nodules were then evaluated in terms of their Lung-RADS classification using each method. To compare nodule detection capability of the three methods, consensus for performances was rated by using jackknife free-response receiver operating characteristic analysis, and sensitivity was compared by means of the McNemar test. In addition, weighted κ statistics were used to determine the agreement between Lung-RADS classification obtained with each method and the reference standard generated from standard-dose CT evaluated by two radiologists who were not included in the image analysis session. Results A total of 205 participants (mean age: 64 years ± 7 [standard deviation], 106 men) with 1073 nodules were enrolled. Figure of merit (FOM) (
- Published
- 2022
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