Literature DB >> 28263700

Standard-, Reduced-, and No-Dose Thin-Section Radiologic Examinations: Comparison of Capability for Nodule Detection and Nodule Type Assessment in Patients Suspected of Having Pulmonary Nodules.

Yoshiharu Ohno1, Hisanobu Koyama1, Takeshi Yoshikawa1, Yuji Kishida1, Shinichiro Seki1, Daisuke Takenaka1, Masao Yui1, Mitsue Miyazaki1, Kazuro Sugimura1.   

Abstract

Purpose To compare the capability of pulmonary thin-section magnetic resonance (MR) imaging with ultrashort echo time (UTE) with that of standard- and reduced-dose thin-section computed tomography (CT) in nodule detection and evaluation of nodule type. Materials and Methods The institutional review board approved this study, and written informed consent was obtained from each patient. Standard- and reduced-dose chest CT (60 and 250 mA) and MR imaging with UTE were used to examine 52 patients; 29 were men (mean age, 66.4 years ± 7.3 [standard deviation]; age range, 48-79 years) and 23 were women (mean age, 64.8 years ± 10.1; age range, 42-83 years). Probability of nodule presence was assessed for all methods with a five-point visual scoring system. All nodules were then classified as missed, ground-glass, part-solid, or solid nodules. To compare nodule detection capability of the three methods, consensus for performances was rated by using jackknife free-response receiver operating characteristic analysis, and κ analysis was used to compare intermethod agreement for nodule type classification. Results There was no significant difference (F = 0.70, P = .59) in figure of merit between methods (standard-dose CT, 0.86; reduced-dose CT, 0.84; MR imaging with UTE, 0.86). There was no significant difference in sensitivity between methods (standard-dose CT vs reduced-dose CT, P = .50; standard-dose CT vs MR imaging with UTE, P = .50; reduced-dose CT vs MR imaging with UTE, P >.99). Intermethod agreement was excellent (standard-dose CT vs reduced-dose CT, κ = 0.98, P < .001; standard-dose CT vs MR imaging with UTE, κ = 0.98, P < .001; reduced-dose CT vs MR imaging with UTE, κ = 0.99, P < .001). Conclusion Pulmonary thin-section MR imaging with UTE was useful in nodule detection and evaluation of nodule type, and it is considered at least as efficacious as standard- or reduced-dose thin-section CT. © RSNA, 2017 Online supplemental material is available for this article.

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Year:  2017        PMID: 28263700     DOI: 10.1148/radiol.2017161037

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  12 in total

1.  From low-dose to no-dose: thin-section magnetic resonance imaging for evaluation of pulmonary nodules.

Authors:  Tommaso D'Angelo; Thomas J Vogl; Julian L Wichmann
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

2.  Simultaneous Evaluation of Lung Anatomy and Ventilation Using 4D Respiratory-Motion-Resolved Ultrashort Echo Time Sparse MRI.

Authors:  Li Feng; Jean Delacoste; David Smith; Joseph Weissbrot; Eric Flagg; William H Moore; Francis Girvin; Roy Raad; Priya Bhattacharji; David Stoffel; Davide Piccini; Matthias Stuber; Daniel K Sodickson; Ricardo Otazo; Hersh Chandarana
Journal:  J Magn Reson Imaging       Date:  2018-09-25       Impact factor: 4.813

3.  Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist Performance.

Authors:  Kai Liu; Qiong Li; Jiechao Ma; Zijian Zhou; Mengmeng Sun; Yufeng Deng; Wenting Tu; Yun Wang; Li Fan; Chen Xia; Yi Xiao; Rongguo Zhang; Shiyuan Liu
Journal:  Radiol Artif Intell       Date:  2019-05-29

4.  The Value of PETRA in Pulmonary Nodules of <3 cm Among Patients With Lung Cancer.

Authors:  Hui Feng; Gaofeng Shi; Hui Liu; Yu Du; Ning Zhang; Yaning Wang
Journal:  Front Oncol       Date:  2021-05-18       Impact factor: 6.244

5.  Comparison Between Magnetic Resonance Imaging and Computed Tomography in the Detection and Volumetric Assessment of Lung Nodules: A Prospective Study.

Authors:  Emeline Darçot; Mario Jreige; David C Rotzinger; Stacey Gidoin Tuyet Van; Alessio Casutt; Jean Delacoste; Julien Simons; Olivier Long; Flore Buela; Jean-Baptiste Ledoux; John O Prior; Alban Lovis; Catherine Beigelman-Aubry
Journal:  Front Med (Lausanne)       Date:  2022-04-28

6.  Assessment of Solid Pulmonary Nodules or Masses Using Zero Echo Time MR Lung Imaging: A Prospective Head-to-Head Comparison With CT.

Authors:  Qianyun Liu; Zhichao Feng; Weiyin Vivian Liu; Weidong Fu; Lei He; Xiaosan Cheng; Zhongliang Mao; Wenming Zhou
Journal:  Front Oncol       Date:  2022-04-26       Impact factor: 5.738

7.  Ultrashort echo time imaging of the lungs under high-frequency noninvasive ventilation: A new approach to lung imaging.

Authors:  Jean Delacoste; Gael Dournes; Vincent Dunet; Adam Ogna; Leslie Noirez; Julien Simons; Olivier Long; Grégoire Berchier; Matthias Stuber; Alban Lovis; Catherine Beigelman-Aubry
Journal:  J Magn Reson Imaging       Date:  2019-05-28       Impact factor: 4.813

8.  Accelerated Stack-of-Spirals Free-Breathing Three-Dimensional Ultrashort Echo Time Lung Magnetic Resonance Imaging: A Feasibility Study in Patients With Breast Cancer.

Authors:  Min Jae Cha; Hye Shin Ahn; Hyewon Choi; Hyun Jeong Park; Thomas Benkert; Josef Pfeuffer; Mun Young Paek
Journal:  Front Oncol       Date:  2021-10-07       Impact factor: 6.244

9.  Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.

Authors:  Qi Wan; Jiaxuan Zhou; Xiaoying Xia; Jianfeng Hu; Peng Wang; Yu Peng; Tianjing Zhang; Jianqing Sun; Yang Song; Guang Yang; Xinchun Li
Journal:  Front Oncol       Date:  2021-11-18       Impact factor: 6.244

10.  Applying Compressed Sensing Volumetric Interpolated Breath-Hold Examination and Spiral Ultrashort Echo Time Sequences for Lung Nodule Detection in MRI.

Authors:  Yu-Sen Huang; Emi Niisato; Mao-Yuan Marine Su; Thomas Benkert; Ning Chien; Pin-Yi Chiang; Wen-Jeng Lee; Jin-Shing Chen; Yeun-Chung Chang
Journal:  Diagnostics (Basel)       Date:  2021-12-31
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