Role of diffusion-weighted magnetic resonance imaging in the differentiation of benign and malignant pulmonary lesions

Alnaghy, Eman Abdelaziz; El-Nahas, Mahmoud Ahmed; Sadek, Ahmed Galal; Gwely, Noureldin Noaman; Elrakhawy, Mohamed M.

doi:10.5114/pjr.2018.81281

Cited by 5 publications

(7 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As regarding the signal intensity of the lesions, in our study, we found that SI of the lesions on diffusion sequences were significantly higher among malignant pulmonary lesions than benign pulmonary lesion Our result is comparable to Çakmak et al [4] and Alnaghy et al [13] which also found that the SI lesion was significantly higher among malignant pulmonary lesions than benign pulmonary lesion (231.80 ± 139.492) versus (107.10 ± 74.497) respectively with p value < 0.001. As comparing the signal intensity of the lesions to that of the spinal cord, in our study, the calculated LSR was higher among malignant pulmonary lesions than benign pulmonary lesions (1.6 ± 0.36 for malignant lesions and 1.18 ± 0.59 for benign lesions) with p value 0.006.…”

Section: Discussionsupporting

confidence: 89%

See 1 more Smart Citation

Value of diffusion‐weighted MRI and lesion‐to‐spinal cord signal intensity ratio in pulmonary lesion characterization

Kolta

Abdel-Hamid

Hassan

et al. 2023

Egypt J Radiol Nucl Med

View full text Add to dashboard Cite

Background In the scenario of lung lesions, the differential diagnosis is important, since the treatment is determined by the characteristics of the lesion. The goal in the evaluation of pulmonary lesions is to distinguish malignant lesions from benign lesions in a non-invasive manner as possible. Since, CT is not sufficient to accurately distinguish malignant nodules from benign nodules and patients with benign nodules might undergo invasive diagnostic methods, such as lung biopsy or video-assisted thoracoscopic surgery, to rule out a malignancy. Now, MRI performed by using diffusion-weighted (DW) can offer both qualitative and quantitative information that can be helpful for tumour assessment. Moreover, lesion‐to‐spinal cord signal intensity ratio (LSR) has also been shown to be useful for the differentiation of lung lesions. Quantitative tumour assessment is possible by the calculation of ADC. Results A total of 30 patients were eligible for inclusion in our final analysis; with male/female case number about 10/20 (33.3%/ 66.7%) and age range from 20 to 74 (46.8 ± 14.9) were subjected to MRI study and MRI diffusion. Sensitivity analysis showed that ADC mean, and ADC min value can significantly predict malignant lung lesions using cutoff point < 1.53 and < 1.34 respectively, with sensitivity 75%, 56.3%, and specificity 92.9%, 100% with p values 0.001, and 0.005 respectively. SI lesion can significantly predict malignant lung lesions using cutoff point > 502.8, with sensitivity 92.9% and specificity 68.7%, AUC 89.3% and p value 0.0001. Lesion-to-spinal cord signal intensity ratio (LSR) can significantly predict malignant lung lesions using cutoff point > 1.3, with sensitivity 85.7% and specificity 75%, AUC 79.7% and p value 0.006. Conclusions This study confirmed that the DWI combined with ADC value and LSR is effective and valuable tool in differentiation of pulmonary lesions whether benign or malignant which is considered to be noninvasive alternative tool for the characterization of pulmonary lesions. We recommend before invasive intervention to perform diffusion MRI and LSR as and important aid for proper diagnosis.

show abstract

Section: Discussionsupporting

confidence: 89%

“…Similar results are seen in ÇAKIR et al 2015 and Alnaghy et al 2018 studies. The ADCs of the benign lesions were significantly higher than those of malignant lesions (mean ADC was 2.02 × 10-3 mm2/s for malignant lesions, and 1.195 × 10-3 ± 0.3 mm2/s for benign lesions) [2,13].…”

Section: Discussionmentioning

confidence: 90%

Value of diffusion‐weighted MRI and lesion‐to‐spinal cord signal intensity ratio in pulmonary lesion characterization

Kolta

Abdel-Hamid

Hassan

et al. 2023

Egypt J Radiol Nucl Med

View full text Add to dashboard Cite

show abstract

“…When comparing the mean ADC value of various pathological lesions, there was a statistically significant difference (p-value >0.001) ADC values of benign and malignant lesions are in agreement with (Alnaghy et al, 2018) [4], who found that the mean ADC value of benign lesions was 1.7-0.72 mm2/s, while the mean ADC value of malignant lesions was 1.09-0.0.19, which was significantly lower than the benign lesions with a p-value of 0.01.…”

Section: Discussionsupporting

confidence: 86%

Role of Advanced MRI in Differentiation between Benign and Malignant Lung Lesions

M.Tawfik

M.Omar

S.Essawy

et al. 2022

Benha Journal of Applied Sciences

View full text Add to dashboard Cite

The most prevalent cause of mortality in industrialised nations is lung cancer. 3:1 is the ratio of males to females. Tobacco use increases the incidence of lung cancer by 30 times. There are also additional risk factors, such as a long history of exposure to things like carcinogens, asbestos and pulmonary fibrosis. We want to see whether sophisticated MRI may help distinguish between malignant and nonmalignant lung lesions in this trial. Methods and Subjects: Patients hospitalised to Benha University Hospital's chest department between October 2018 and April 2021 were included in this research.There were no misunderstandings about their agreement to the terms of the agreement. In order to diagnose the patients, they all had a direct chest X-ray and a CT scan. In this study, the lesions' morphological properties were examined. An MRI scan was performed on each patient, and the results were then analysed for pathology. Of the 32 lesions studied, 22 were malignant and 10 were benign.The mean ADC value of benign lesions was 1.74 -0.27 -3mm2/s, whereas the mean ADC value of malignant lesions was 1.09 -0.18 -3mm2/s, which was considerably lower than that of the benign lesions (p = 0.02) 1.29 0.37 mean ADC in central area; 1.48 0.52 mean ADC in periphery.There was a statistically significant difference in ADC between the centre and the peripheral (1.29 0.37) (P =.0.017) Malignant lesions had considerably lower mean ADCs in the centre and periphery than those with benign lesions (1.09 and 1.26, respectively) (1.74 and 1.97, respectively The p-values were 0.001 and 0.005. The ADC core and periphery were analysed for malignancy using ROC analysis.Center (AUC = 0.964) and periphery (AUC = 0.859) had significant AUCs in this study. Optimal cutoff values for ADC centre and ADC periphery were 1.29 10-3 mm2/s and 1.54 10-3 mm2/s, respectively, with sensitivity and specificity of 95.5% and 90% for ADC centre and 86.4% and 80% for ADC peripheral. Diffusion-weighted MRI can distinguish between benign and malignant pulmonary masses, whereas ADC can distinguish between the two.

show abstract

“…Granulomatous lesions show areas of necrosis and abscess which shows falsely lower ADC values. 27 However, these areas of necrosis were excluded from ROI during parametric imaging.…”

Section: Discussionmentioning

confidence: 99%

Role of Various DW MRI and DCE MRI Parameters as Predictors of Malignancy in Solid Pulmonary Lesions

et al. 2020

View full text Add to dashboard Cite

Purpose: We aimed to evaluate various diffusion and dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) parameters in differentiating malignant from benign pulmonary lesions. Methods: We enrolled 31 (22 males) patients who had solid pulmonary lesion(s) >2 cm in our cross sectional study. Of these, 23 (74.2%) were found to be malignant on histopathology. Dynamic contrast-enhanced MRI was performed using 36 dynamic measurements (volumetric interpolated breath-hold examination). Diffusion-weighted MRI (DW MRI) performed at b value of 800 s/mm2. We measured different diffusion and perfusion parameters, for example, diffusion-weighted imaging (DWI) SI, mean apparent diffusion coefficient (ADC), minimum ADC, lesion-to-spinal cord ratio, DWI score, T2 score, Ktrans, Kep, and Ve. We stratified values of each parameter as high if it was >median of values observed in our data set and low if it was ≤median. Normally distributed data were compared by unpaired t test, whereas non-normal continuous data were compared by Kruskal Wallis-H test. We applied Wilson score method to calculate sensitivity, specificity, and predictive values of parameters that were statistically significant by type of lesion with reference to histopathological examination as gold standard. Results: Diffusion-weighted imaging SI, mean ADC, minimum ADC, DWI score and Ktrans values were found to be significantly different ( P value < .05) by type of lesion. Ktrans was found to have the highest diagnostic accuracy (74.2%) among these parameters. Conclusion: Ktrans and mean ADC had similar sensitivity of 65.2%. However, Ktrans had highest diagnostic accuracy among various DWI and DCE MRI parameters in predicting malignancy in solid pulmonary lesions. In our study, we found a cutoff value 0.251 min−1 for Ktrans as 100% specific.

show abstract

Role of diffusion-weighted magnetic resonance imaging in the differentiation of benign and malignant pulmonary lesions

Cited by 5 publications

References 12 publications

Value of diffusion‐weighted MRI and lesion‐to‐spinal cord signal intensity ratio in pulmonary lesion characterization

Value of diffusion‐weighted MRI and lesion‐to‐spinal cord signal intensity ratio in pulmonary lesion characterization

Role of Advanced MRI in Differentiation between Benign and Malignant Lung Lesions

Role of Various DW MRI and DCE MRI Parameters as Predictors of Malignancy in Solid Pulmonary Lesions

Contact Info

Product

Resources

About