Literature DB >> 18504748

Dynamic MRI, dynamic multidetector-row computed tomography (MDCT), and coregistered 2-[fluorine-18]-fluoro-2-deoxy-D-glucose-positron emission tomography (FDG-PET)/CT: comparative study of capability for management of pulmonary nodules.

Yoshiharu Ohno1, Hisanobu Koyama, Daisuke Takenaka, Munenobu Nogami, Yoshimasa Maniwa, Yoshihiro Nishimura, Chiho Ohbayashi, Kazuro Sugimura.   

Abstract

PURPOSE: To compare the nodule management capabilities of dynamic MRI, dynamic multidetector-row computed tomography (MDCT) and coregistered positron emission tomography (PET)/CT.
MATERIALS AND METHODS: Dynamic MRI, dynamic MDCT, PET, microbacterial, and pathological examinations were administered to 175 consecutive patients with 202 nodules (<30 mm in diameter). The final diagnoses resulted in the classification of 202 nodules into two groups: requiring further intervention and treatment (N = 163) and no further evaluation (N = 39) groups. Maximum relative enhancement and slope of enhancement ratio were calculated as dynamic MR indices. Maximum enhancement, net enhancement, slope of enhancement, and absolute loss of enhancement were calculated as dynamic CT indices. maximum value of standard uptake value (SUV(max)) was measured on coregistered PET/CT. Receiver operating characteristics (ROC) analyses were performed to determine feasible threshold values for nodule management, and results were tested using McNemar's test.
RESULTS: When feasibility threshold values were adopted for nodule management, the specificity (82.1%) and accuracy (93.6%) of the slope of the enhancement ratio were significantly higher than those of dynamic CT indices (P < 0.05) and SUV(max) (P < 0.05).
CONCLUSION: Dynamic MRI can play a more specific and/or accurate role for nodule management as compared with dynamic MDCT and coregistered PET/CT. 2008 Wiley-Liss, Inc

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Year:  2008        PMID: 18504748     DOI: 10.1002/jmri.21348

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  11 in total

1.  Magnetic resonance imaging of pulmonary nodules: accuracy in a granulomatous disease-endemic region.

Authors:  Natália Henz Concatto; Guilherme Watte; Edson Marchiori; Klaus Irion; José Carlos Felicetti; José Jesus Camargo; Bruno Hochhegger
Journal:  Eur Radiol       Date:  2015-12-05       Impact factor: 5.315

Review 2.  [Role of MRI for detection and characterization of pulmonary nodules].

Authors:  G Sommer; M Koenigkam-Santos; J Biederer; M Puderbach
Journal:  Radiologe       Date:  2014-05       Impact factor: 0.635

3.  Free-breathing dynamic contrast-enhanced MRI for assessment of pulmonary lesions using golden-angle radial sparse parallel imaging.

Authors:  Lihua Chen; Daihong Liu; Jiuquan Zhang; Bing Xie; Xiaoyue Zhou; Robert Grimm; Xuequan Huang; Jian Wang; Li Feng
Journal:  J Magn Reson Imaging       Date:  2018-02-13       Impact factor: 4.813

Review 4.  Recent technological and application developments in computed tomography and magnetic resonance imaging for improved pulmonary nodule detection and lung cancer staging.

Authors:  Jessica C Sieren; Yoshiharu Ohno; Hisanobu Koyama; Kazuro Sugimura; Geoffrey McLennan
Journal:  J Magn Reson Imaging       Date:  2010-12       Impact factor: 4.813

Review 5.  Contrast-enhanced CT- and MRI-based perfusion assessment for pulmonary diseases: basics and clinical applications.

Authors:  Yoshiharu Ohno; Hisanobu Koyama; Ho Yun Lee; Sachiko Miura; Takeshi Yoshikawa; Kazuro Sugimura
Journal:  Diagn Interv Radiol       Date:  2016 Sep-Oct       Impact factor: 2.630

Review 6.  Accuracy of FDG-PET to diagnose lung cancer in areas with infectious lung disease: a meta-analysis.

Authors:  Stephen A Deppen; Jeffrey D Blume; Clark D Kensinger; Ashley M Morgan; Melinda C Aldrich; Pierre P Massion; Ronald C Walker; Melissa L McPheeters; Joe B Putnam; Eric L Grogan
Journal:  JAMA       Date:  2014-09-24       Impact factor: 56.272

7.  MRI of the lung (3/3)-current applications and future perspectives.

Authors:  Jürgen Biederer; S Mirsadraee; M Beer; F Molinari; C Hintze; G Bauman; M Both; E J R Van Beek; J Wild; M Puderbach
Journal:  Insights Imaging       Date:  2012-01-15

8.  Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art.

Authors:  M V Sprindzuk; V A Kovalev; E V Snezhko; S A Kharuzhyk
Journal:  Pol J Radiol       Date:  2010-01

9.  Rationale of Using Dynamic Imaging for Characterization of Suspicious Lung Masses into Benign or Malignant on Contrast Enhanced Multi Detector Computed Tomography.

Authors:  Sachin Khanduri; Saurav Bhagat; Parul Shokeen; Girjesh Kumar; Shobha Khanduri; Bhumika Singh
Journal:  J Clin Imaging Sci       Date:  2017-06-27

Review 10.  MRI versus CT for the detection of pulmonary nodules: A meta-analysis.

Authors:  Hui Liu; Rihui Chen; Chao Tong; Xian-Wen Liang
Journal:  Medicine (Baltimore)       Date:  2021-10-22       Impact factor: 1.817

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