Usefulness of diffusion-weighted MR imaging in the evaluation of pulmonary lesions

Liu, Haidong; Liu, Ying; Yu, Tao; Ye, Ning

doi:10.1007/s00330-009-1629-6

Cited by 97 publications

(93 citation statements)

References 25 publications

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“…The authors reported 89% sensitivity, 61% specificity, and 89% accuracy when the signal intensity of nodules was equal to or greater than that of the spinal cord. In contrast, Liu et al (28) did not find significant signal intensity differences between benign and malignant nodules in an analysis of 66 pulmonary lesions. However, they reported 83% sensitivity and 74% specificity using a threshold ADC value of 1.4×10 -3 mm 2 /s.…”

Section: Thoracic Applicationsmentioning

confidence: 83%

“…The STIR approach has been most commonly used for fat suppression to achieve a more accurate ADC estimation. Early studies employed free breathing or breath holding (24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35). The latter type of study can be completed in two or more separate breathholding scans.…”

Section: Thoracic Applicationsmentioning

confidence: 99%

“…In qualitative evaluations, the chest wall muscles or spinal cord can be used as a standard of reference when evaluating the signal intensity of a target lesion (24,27,28,36). Malignant lesions tend to be hyperintense relative to the chest wall muscles or spinal cord.…”

Section: Thoracic Applicationsmentioning

confidence: 99%

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Diffusion weighted MRI for detecting and monitoring cancer: a review of current applications in body imaging

Türkbey

Aras

Karabulut

et al. 2011

Diagn Interv Radiol

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Imaging is used to detect, characterize, and monitor cancer. Recently, diffusion-weighted magnetic resonance imaging (DWI) has become a useful adjunct for assessing tumors with magnetic resonance imaging (MRI). DWI involves the acquisition of a magnetic resonance signal related to random thermal motion (Brownian motion) or the "diffusion" of water protons in tissue. The signal obtained with DWI is a measure of the net displacement of water molecules, e.g., the water path length in the extracellular, intracellular and intravascular spaces. This motion is largely random and can be reduced by structural barriers, such as cell membranes and collagen. Restricted diffusion in biological tissues is inversely proportional to tissue cellularity and the integrity of cell membranes, and it can be quantified with apparent diffusion coefficient (ADC) measurements (1). Depending on the microarchitecture, either restricted or increased diffusion can occur in malignant tumors. For instance, diffusion is restricted in cellular portions of the tumor, but it may be increased in necrotic portions (2, 3). Other causes of enhanced diffusion include increased water content arising from intratumoral edema and cystic tumor components (4-6).Although initially used to evaluate neurological diseases, the applications of DWI have been extended to oncologic imaging throughout the body made possible by improvements in MRI hardware and new sequences. The use of DWI as a complement to conventional MRI methods has led to improvements in the detection and characterization of tumors, treatment response monitoring, and detection of recurrence in oncology patients. Basic concepts of DWIIn 1965, Stejskal and Tanner (7) proposed the application of a symmetric pair of additional gradients on either side of the 180˚ refocusing radiofrequency pulse. The Stejskal-Tanner sequence is still the basis of modern DWI. For static water molecules, the phasing effect caused by the first gradient will be reversed by the second gradient, leading to no signal loss; however, this phasing effect will not be completely reversed if the water molecules are not stationary, which results in the observed well-known diffusion signal decay. The amount of diffusion weighting is determined by the b value, which describes the amplitude, duration of the applied gradient, and time interval between the two diffusion gradients (4). The degree of signal attenuation from water molecules is cor- ABSTRACT Diffusion-weighted magnetic resonance imaging (MRI), which involves the acquisition of a magnetic resonance signal related to the Brownian motion of water protons in tissue, has become a useful technique for assessing tumors. In this article, we review the basic concepts, imaging strategies, and body applications of diffusion-weighted MRI in detecting and monitoring cancer.

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Section: Thoracic Applicationsmentioning

confidence: 83%

Section: Thoracic Applicationsmentioning

confidence: 99%

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Diffusion weighted MRI for detecting and monitoring cancer: a review of current applications in body imaging

Türkbey

Aras

Karabulut

et al. 2011

Diagn Interv Radiol

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show abstract

“…In the latter situation the DWI is more accurate than other sequences including T2-weighted normal (35). MRI always keeps a place in the characterization of silicotic nodules of patients exposed to silica with no signal on T2-masses (26)(27)(28)(29)(30)(31)(32)(33) (Table I). MR is as accurate as 18 F-FDG PET/CT for nodule or masses characterization (Fig.…”

Section: Mediastinal and Hilar Nodal Stagingmentioning

confidence: 99%

Contribution of MRI in lung cancer staging

Khalil

Bouhela

Carette

2013

Journal of the Belgian Society of Radiology

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“…However, despite the limited ability of MRI to visualize calcified nodules, the evaluation of different parameters might overcome these shortcomings. In fact, the inclusion of specific sequences in a lung MRI protocol, such as diffusion-weighted imaging, T2-weighted imaging, protondensity-weighted or short-tau inversion recovery sequences might further increase detection and characterization of pulmonary diseases (14)(15)(16). Nevertheless, due to generally slower and repeated imaging acquisition, respiratory and cardiac motion may have a stronger influence on image quality in MRI compared to CT.…”

mentioning

confidence: 99%

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

2018

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Usefulness of diffusion-weighted MR imaging in the evaluation of pulmonary lesions

Abstract: Our data indicate that quantitative analysis of ADC values may help diagnose or distinguish pulmonary lesions, and it also provides a promising method for characterising the pulmonary masses.

Cited by 97 publications

References 25 publications

Diffusion weighted MRI for detecting and monitoring cancer: a review of current applications in body imaging

Diffusion weighted MRI for detecting and monitoring cancer: a review of current applications in body imaging

Contribution of MRI in lung cancer staging

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

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