Literature DB >> 19420317

Higher sensitivity and specificity for diffusion-weighted imaging of malignant lung lesions without apparent diffusion coefficient quantification.

Tomohiro Uto1, Yasuo Takehara, Yutaro Nakamura, Tateaki Naito, Dai Hashimoto, Naoki Inui, Takafumi Suda, Hirotoshi Nakamura, Kingo Chida.   

Abstract

PURPOSE: To compare the performance of apparent diffusion coefficient (ADC) with that of signal intensity of the lesion-to-spinal cord ratio (LSR) in differentiating lung cancer from benign lesions on high-b value diffusion-weighted (DW) magnetic resonance (MR) images.
MATERIALS AND METHODS: This study received institutional review board approval; written informed consent was provided by all patients. Twenty-eight patients (six women, 22 men; mean age, 64.2 years) with pulmonary nodules seen at chest computed tomography were prospectively reviewed. Two DW images with different motion-probing gradient strengths (b(h) = 1000 sec/mm(2) and b(l) = 0 sec/mm(2)) were analyzed semiquantitatively by measuring the signal intensities of the lesions and the spinal cord. ADC was calculated by using linear regression analysis of the natural logarithm of mean signal intensity versus the gradient factor. For reference, LSR was also measured on the same image with a diffusion gradient of b(h) = 1000 sec/mm(2).
RESULTS: The LSR of cancer nodules was significantly higher than that of benign lesions, while there were no significant differences between them in relation to ADC. In the receiver operating characteristic curve analysis, LSR had a higher area under the curve than did ADC (0.911 vs 0.600). By using a cutoff value of 1.135, LSR had a positive predictive value of 86.7% a negative predictive value of 90%, and an accuracy of 85.7% for the detection of lung cancer with LSR.
CONCLUSION: LSR measurement on high-b value DW imaging may be useful for differentiating between benign and malignant lung nodules. (c) RSNA, 2009.

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Year:  2009        PMID: 19420317     DOI: 10.1148/radiol.2521081195

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


  53 in total

1.  Whole-body diffusion-weighted magnetic resonance imaging with apparent diffusion coefficient mapping for staging patients with diffuse large B-cell lymphoma.

Authors:  Chieh Lin; Alain Luciani; Emmanuel Itti; Taoufik El-Gnaoui; Alexandre Vignaud; Pauline Beaussart; Shih-jui Lin; Karim Belhadj; Pierre Brugières; Eva Evangelista; Corinne Haioun; Michel Meignan; Alain Rahmouni
Journal:  Eur Radiol       Date:  2010-03-23       Impact factor: 5.315

2.  Preoperative staging of non-small-cell lung cancer: comparison of whole-body diffusion-weighted magnetic resonance imaging and 18F-fluorodeoxyglucose-positron emission tomography/computed tomography.

Authors:  Gregor Sommer; Mark Wiese; Leopold Winter; Claudia Lenz; Markus Klarhöfer; Flavio Forrer; Didier Lardinois; Jens Bremerich
Journal:  Eur Radiol       Date:  2012-07-09       Impact factor: 5.315

3.  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

4.  Role of the apparent diffusion coefficient measurement by diffusion weighted magnetic resonance imaging in the diagnosis of Fasciola hepatica in the liver.

Authors:  Mehmet Ruhi Onur; Mehtap Ciçekçi; Alperen Kayali; Ercan Kocakoç; Cem Aygün
Journal:  Jpn J Radiol       Date:  2011-10-19       Impact factor: 2.374

5.  Characterisation of solitary pulmonary lesions combining visual perfusion and quantitative diffusion MR imaging.

Authors:  Johan Coolen; Johan Vansteenkiste; Frederik De Keyzer; Herbert Decaluwé; Walter De Wever; Christophe Deroose; Christophe Dooms; Eric Verbeken; Paul De Leyn; Vincent Vandecaveye; Dirk Van Raemdonck; Kristiaan Nackaerts; Steven Dymarkowski; Johny Verschakelen
Journal:  Eur Radiol       Date:  2013-10-31       Impact factor: 5.315

6.  Diffusion-weighted imaging can correctly identify false-positive lymph nodes on positron emission tomography in non-small cell lung cancer.

Authors:  Hiroaki Nomori; Yue Cong; Hiroshi Sugimura; Yoshiaki Kato
Journal:  Surg Today       Date:  2015-12-10       Impact factor: 2.549

7.  Apparent diffusion coefficient values of diffusion-weighted imaging for distinguishing focal pulmonary lesions and characterizing the subtype of lung cancer: a meta-analysis.

Authors:  Guohua Shen; Zhiyun Jia; Houfu Deng
Journal:  Eur Radiol       Date:  2015-05-24       Impact factor: 5.315

8.  Malignant versus benign mediastinal lesions: quantitative assessment with diffusion weighted MR imaging.

Authors:  Sevtap Gümüştaş; Nagihan Inan; Hasan Tahsin Sarisoy; Yonca Anik; Arzu Arslan; Ercüment Ciftçi; Gür Akansel; Ali Demirci
Journal:  Eur Radiol       Date:  2011-06-23       Impact factor: 5.315

Review 9.  [Whole-body diffusion-weighted imaging in oncology: technical aspects and practical relevance].

Authors:  J Kalkmann; T Lauenstein; J Stattaus
Journal:  Radiologe       Date:  2011-03       Impact factor: 0.635

Review 10.  Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI.

Authors:  Ryan L Brunsing; Natalie M Schenker-Ahmed; Nathan S White; J Kellogg Parsons; Christopher Kane; Joshua Kuperman; Hauke Bartsch; Andrew Karim Kader; Rebecca Rakow-Penner; Tyler M Seibert; Daniel Margolis; Steven S Raman; Carrie R McDonald; Nikdokht Farid; Santosh Kesari; Donna Hansel; Ahmed Shabaik; Anders M Dale; David S Karow
Journal:  J Magn Reson Imaging       Date:  2016-08-16       Impact factor: 4.813

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