Differentiation of benign and malignant lesions of the tongue by using diffusion-weighted MRI at 3.0 T

Li, S; Cheng, Jingliang; Zhang, Y; Zhang, Z

doi:10.1259/dmfr.20140325

Cited by 22 publications

(11 citation statements)

References 23 publications

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“…These observations were similar to those from our previous study on early laryngeal carcinoma ( 12 ) and to those of other previous studies on head and neck carcinomas ( 4 , 10 , 15 ). Li et al ( 15 ) revealed that the mean ADC value of malignant lesions of the tongue [(1.08±0.16)×10 −3 mm 2 /sec] was lower than that of benign lesions [(1.68±0.33)×10 −3 mm 2 /sec] and cystic lesions [(2.21±0.35)×10 −3 mm 2 /sec; P<0.001]. ROC analysis revealed that the AUC was 0.963 and the optimal threshold for the ADC cut-off point was 1.31×10 −3 mm 2 /sec for predicting malignancy ( 15 ).…”

Section: Discussionsupporting

confidence: 93%

“…Li et al ( 15 ) revealed that the mean ADC value of malignant lesions of the tongue [(1.08±0.16)×10 −3 mm 2 /sec] was lower than that of benign lesions [(1.68±0.33)×10 −3 mm 2 /sec] and cystic lesions [(2.21±0.35)×10 −3 mm 2 /sec; P<0.001]. ROC analysis revealed that the AUC was 0.963 and the optimal threshold for the ADC cut-off point was 1.31×10 −3 mm 2 /sec for predicting malignancy ( 15 ). A meta-analysis investigating DWI as a tool for differentiating malignancy from benign thyroid nodules undertaken by Wu et al ( 9 ) revealed that DWI sensitivity was 0.91 (95% CI, 0.86–0.94), specificity was 0.92 (95% CI, 0.84–0.97), and ROC curves demonstrated that AUC was 0.94 (95% CI, 0.92–0.96), indicating a high level of overall accuracy.…”

Section: Discussionmentioning

confidence: 99%

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The diagnostic role of diffusion-weighted magnetic resonance imaging in hypopharyngeal carcinoma

et al. 2018

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The aim of the present study was to assess the role of diffusion-weighted magnetic resonance imaging (DWI) and apparent diffusion coefficient (ADC) values in hypopharyngeal carcinoma. A total of 40 hypopharyngeal carcinoma tissues and 15 benign lesion tissues were retrospectively analyzed. DWI, and T1- and T2-weighted magnetic resonance imaging (MRI) was performed. The sensitivity, specificity and accuracy of conventional MRI were 97.5, 66.7, and 89.1%, respectively. The mean ADC value [diffusion sensitive factor (b)=1,000× sec/mm2) for hypopharyngeal carcinomas was (1.0285±0.0328)×10−3 mm2/sec, which was significantly lower than the mean ADC value for benign lesions [(1.5333±0.1061)×10−3 mm2/sec; P<0.001]. Receiver operating characteristic (ROC) curve analysis revealed that the area under the curve (AUC) was 0.921 while the optimal threshold for the cut-off point of the ADC was 1.075×10−3 mm2/sec. The mean ADC value of the metastatic nodes was (0.9184±0.0538)×10−3 mm2/sec, lower than the mean value for the benign nodes [(1.2538±0.1145)×10−3 mm2/sec; P=0.005]. Two groups were created according to the mean of the ADC value of hypopharyngeal carcinomas [≤(1.0285±0.0328)×10−3 mm2/sec vs. >(1.0285±0.0328)×10−3 mm2/sec]. The 2-year survival rates of the two groups were 55.6 and 100.0%, respectively (P=0.024). ADC values may aid in distinguishing hypopharyngeal carcinomas from benign lesions and differentiating metastatic lymph nodes of hypopharyngeal squamous cell carcinomas from reactive cervical lymph nodes. In conclusion, mean ADC values may be useful prognostic factors in univariate analysis of hypopharyngeal carcinoma.

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confidence: 93%

Section: Discussionmentioning

confidence: 99%

The diagnostic role of diffusion-weighted magnetic resonance imaging in hypopharyngeal carcinoma

et al. 2018

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“…The reason why malignant tumours have lower ADC values are not well understood but is probably related to a combination of higher cellularity, tissue disorganization and increased extracellular space tortuosity, all contributing to reduced motion of water. 8 Although with different b-values and different optimal ADC thresholds, most previous studies inevitably proved the ability of DWI in differentiating malignant from benign head and neck tumours, [15][16][17][18][19][20][21][22][23][24] except that diagnostic dilemma exists in cholesteatoma, salivary gland tumours and lymph nodes. 8,25 However, the comparison of diagnostic ability between DWI and conventional MRI was less performed.…”

Section: Discussionmentioning

confidence: 99%

Palatal lesions: discriminative value of conventional MRI and diffusion weighted imaging

Yuan

Tang

Jiang

et al. 2016

BJR

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Objective: To evaluate and compare the ability of conventional MRI, diffusion-weighted imaging (DWI) and a combination of both MRI techniques to differentiate malignant and benign palatal lesions. Methods: A retrospective review of MRI findings was performed in patients with pathologically confirmed palatal lesions between January 2012 and December 2014. Each lesion was evaluated with conventional MRI characteristics, including enhancement, inner texture, margin, adjacent soft-tissue involvement and cervical lymph node, and/or apparent diffusion coefficient (ADC) value. Statistical analyses were performed to assess the differential performance of each parameter separately and together. Results: A total of 42 patients (24 males, 18 females; age: 54.9 6 16.4 years) were investigated. The optimal cut-off ADC value to distinguish malignant from benign lesions was 1.02 3 10 23 mm 2 s 21 , with a sensitivity of 87.5% and a specificity of 75.0%. Conventional MRI showed a sensitivity of 87.1% and a specificity of 63.6%. Combination of conventional MRI and ADC scores increased sensitivity to 100% and specificity to 75.0%. The AUCs did not differ significantly between conventional MRI alone, DWI alone and integration of both. Conclusion: Additional DWI does not substantially improve differential ability of conventional MRI. However, combining ADC values with conventional MRI improves both sensitivity and specificity, which is of worth to be further validated in prospective studies with larger sample sizes. Advances in knowledge: Combination of conventional MRI and ADC scores could increase the ability to differentiate malignant from benign palatal lesions, with a sensitivity of 100% and specificity of 75.0%, although without statistical significance. INTRODUCTIONThe palate separates the oral from the nasal cavity and is anatomically composed of soft and hard parts. The hard palate is composed of mucosal surface and minor salivary glands located between the mucosal surface and the underlying bone. The soft palate is formed by squamous mucosa and muscle fibers, and contains a smaller number of minor salivary glands compared with the hard part. Palatal lesions include a variety of pathological types, 1 and squamous cell carcinoma (SCC) is the most common malignancy. Tumours of the minor salivary glands are the most common type of submucosal masses, and malignant tumours account for approximately half of them.2 Various types of mesenchymal tumours, such as fibromas, lipomas, schwannomas, neurofibromas, haemangiomas and lymphangiomas, also involve the palate.

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“…[5] Furthermore, some reports showed the application of DWI with calculation of apparent diffusion coefficient (ADC) in the differentiation between malignant and benign diseases in head and neck. [6][7][8][9][10] Studies regarding absolute ADC values in the normal human brain and the effect of aging on diffusion are scarce, and only a few reports involving small numbers of subjects have been published. [11] Moreover, age is an important factor for spinal cord injury and repair.…”

Section: Introductionmentioning

confidence: 99%

Changes of cerebrospinal fluid in the upper neck area with age using diffusion weighted MR imaging

Ogura¹,

Oda²,

Sue³

et al. 2018

IJDI

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Purpose: Few studies have concerned the absolute apparent diffusion coefficient (ADC) values in the normal cerebrospinal fluid in the upper neck area and the effect of aging on diffusion. The purpose of this study was to evaluate changes of cerebrospinal fluid in the upper neck area with age using diffusion weighted MR imaging (DWI). Methods and methods: Our study included 160 patients who underwent MR imaging for oral and maxillofacial diseases. All patients were examined by DWI with 2 b values (0 and 800 sec/mm 2 ) at 1.5 Tesla and ADC maps. The cerebrospinal fluid and spinal cord in the upper neck area were analyzed using the ADC values and age.Results: ADC value of cerebrospinal fluid was significantly correlated to ADC value of spinal cord (R 2 = 0.141, p = .000). ADC value of spinal cord had no relation to age (R 2 = 0.015, p = .125). ADC value of cerebrospinal fluid had significant relation to age (R 2 = 0.026, p = .042). Conclusions:We indicated the changes of cerebrospinal fluid in the upper neck area with age using DWI. The data reported herein are representative, and the ADC values can be used for reference in future studies and in clinical settings.

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Differentiation of benign and malignant lesions of the tongue by using diffusion-weighted MRI at 3.0 T

Cited by 22 publications

References 23 publications

The diagnostic role of diffusion-weighted magnetic resonance imaging in hypopharyngeal carcinoma

The diagnostic role of diffusion-weighted magnetic resonance imaging in hypopharyngeal carcinoma

Palatal lesions: discriminative value of conventional MRI and diffusion weighted imaging

Changes of cerebrospinal fluid in the upper neck area with age using diffusion weighted MR imaging

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