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Efficacy of Ultrashort Echo Time Pulmonary MRI for Lung Nodule Detection and Lung-RADS Classification.
Ohno, Yoshiharu; Takenaka, Daisuke; Yoshikawa, Takeshi; Yui, Masao; Koyama, Hisanobu; Yamamoto, Kaori; Hamabuchi, Nayu; Shigemura, Chika; Watanabe, Ayumi; Ueda, Takahiro; Ikeda, Hirotaka; Hattori, Hidekazu; Murayama, Kazuhiro; Toyama, Hiroshi.
  • Ohno Y; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Takenaka D; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Yoshikawa T; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Yui M; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Koyama H; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Yamamoto K; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Hamabuchi N; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Shigemura C; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Watanabe A; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Ueda T; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Ikeda H; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Hattori H; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Murayama K; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
  • Toyama H; From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic
Radiology ; 302(3): 697-706, 2022 03.
Article en En | MEDLINE | ID: mdl-34846203
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) (P < .001) had significant differences among three modalities (standard-dose CT FOM = 0.91, low-dose CT FOM = 0.89, pulmonary MRI with UTE FOM = 0.94), with no evidence of false-positive findings in participants with all modalities (P > .05). Agreements for Lung-RADS classification between all modalities and the reference standard were almost perfect (standard-dose CT κ = 0.82, P < .001; low-dose CT κ = 0.82, P < .001; pulmonary MRI with UTE κ = 0.82, P < .001). Conclusion In a lung cancer screening population, ultrashort echo time pulmonary MRI was comparable to standard- or low-dose CT for Lung CT Screening Reporting and Data System classification. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Wielpütz in this issue.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Tomografía Computarizada por Rayos X / Nódulos Pulmonares Múltiples / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Screening_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Tomografía Computarizada por Rayos X / Nódulos Pulmonares Múltiples / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Screening_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2022 Tipo del documento: Article