Can diffusion weighted image and apparent diffusion coefficient (ADC) differentiate benign from malignant cervical adenopathy?

Ragheb, Ahmad S.; Rahman, Hossam Mansour Abdel; Ismail, Ahmed Rageh; Nawar, Nashwa

doi:10.1016/j.ejrnm.2014.01.016

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…The cut off value of 1.15 ×10 -3 mm 2 /s of ADC could differentiate benign from malignant lymph nodes. [30] Our findings also correlate with study conducted by All these studies demonstrate that diffusion weighted imaging with ADC threshold value can differentiate the benign and malignant lymph nodes [3,4,[31][32][33][34][35][36][37][38][39][40][41][42][43][44][45] . However our findings did not correlate with study conducted by Hun Kung Lim et al in which they concluded that mean ADC does not allow differentiating benign from metastatic cervical lymph nodes in patients with head and neck cancer and non-necrotic, small lymph nodes [46] .…”

Section: Diffusion Weighted Imaging and Adc Mapssupporting

confidence: 86%

Differentiation of benign and malignant cervical lymph nodes on MRI with special emphasis on DWI

Choure¹,

Khaladkar²,

Jain³

2019

Int. J. Radiol. Diagn. Imaging

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Aim and objectives: Evaluation of cervical lymph nodes with MRI, utility of DWI in differentiation of benign and malignant cervical lymph nodes. Methods: Prospective study was carried out on 71 patients of cervical lymphadenopathy in Dr. D.Y. Patil Medical College, Hospital and Research Centre, Pimpri, Pune over a period of two years. Patients were evaluated with Siemens MAGNETOM Avanto 1.5 T MRI machine. Characteristics of cervical lymph nodes on T1WI, T2WI, STIR and Diffusion weighted images with ADC values were studied.Comparison was made with histopathological reports to study accuracy of MRI DWI in differentiating benign and malignant lymph nodes. Results: Out of the total 71 cases, 41 cases were of benign lymph nodes and 30 cases were of malignant lymph nodes. Characteristics of lymph nodes were studied on MRI. Malignant lymph nodes showed diffusion restriction with corresponding low ADC values. Mean ADC value of benign lymph nodes was 1.1×10 -3 mm 2 /s (±0.9 SD) and for malignant lymph nodes was 0.7×10 -3 mm 2 /s (±0.2 SD).The suggested ADC cut off value in our study for differentiating benign from malignant lymph nodes was to be 0.93×10 -3 mm 2 /s. Conclusion: Diffusion weighted imaging (DWI) is an important non-invasive diagnostic method for differentiation of benign and malignant cervical lymph nodes in case of head, neck cancers.

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Section: Diffusion Weighted Imaging and Adc Mapssupporting

confidence: 86%

Differentiation of benign and malignant cervical lymph nodes on MRI with special emphasis on DWI

Choure¹,

Khaladkar²,

Jain³

2019

Int. J. Radiol. Diagn. Imaging

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“…Using an ADC value of 0.8, the sensitivity, specificity, PPV, NPV and accuracy for differentiating between benign and malignant LNs were 76.4%, 85.7%, 86.6%, 75%, and 80.6%, respectively. Also, Ragheb and colleagues [22] stated that optimal ADC cutoff value for differentiating benign and malignant LNs was 0.61 with accuracy 96.7%, sensitivity 100%, specificity 88.9%, PPV 95.4% and NPV 100%. Again, Holzapfel and colleagues [23] reported an accuracy of 94% in characterizing metastatic LNs when using threshold of 1.02.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Mediastinal Lymphadenopathy by Diffusion Weighted MRI; Correlation with Histopathological Results

Youssef

Elzorkany

Hussein

et al. 2019

Advances in Respiratory Medicine

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Introduction: Diffusion weighted imaging (DWI) has shown its potential as a reliable noninvasive technique for tissue characterization. DWI reflects the tissue specific diffusion capacity which can be used for tissue characterization. Hypercellular tissue (e.g; malignant tumors) had restricted diffusion capacity with increased signals on DWI and low ADC values. Non-tumoral tissues show low cellularity, and diffusion capacity is not restricted resulting in signal loss on DWI and high apparent diffusion coefficient (ADC). Differential diagnosis of mediastinal lymphadenopathy is an issue of debate, especially in malignant benign differentiation. Diffusion weighted imaging with magnetic resonance could improve the diagnostic accuracy in differentiation between benign and malignant mediastinal nodes. Objectives: to determine the efficacy of diffusion weighted MRI in evaluation of mediastinal lymphadenopathy with histopathological correlation to differentiate benign from malignant lymph nodes. Material and methods: 30 patients with mediastinal lymphadenopathy underwent diffusion weighted MRI. ADCs of lymph nodes were derived and constructed from b = 0 and b = 1000 sec/mm 2 values by drawing regions of interests (ROI). Consequently, mediastinal nodes were studied, biopsies and histopathological analysis were done after MRI examination. Results: The best cutoff point of ADC to differentiate benign from malignant lesions was 1.15 mm/sec (sensitivity 77%, specificity 92% and AUC 81.4%). Significant negative correlation of ADC by DW MRI and the size of the LNs. The mean ADC values in the lymphoma group was lower than in the sarcoidosis group, and the difference was statistically significant. Conclusion: The study supports that MRI with diffusion weighted images can differentiate benign from malignant mediastinal lymphadenopathy and differentiate lymphoma from sarcoidosis non-invasively.

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Diagnostic value of MRI for predicting axillary lymph nodes metastasis in newly diagnosed breast cancer patients: Diffusion-weighted MRI

Zaiton

Shehata

Warda

et al. 2016

The Egyptian Journal of Radiology and Nuclear Medicine

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Can diffusion weighted image and apparent diffusion coefficient (ADC) differentiate benign from malignant cervical adenopathy?

Cited by 5 publications

References 20 publications

Differentiation of benign and malignant cervical lymph nodes on MRI with special emphasis on DWI

Differentiation of benign and malignant cervical lymph nodes on MRI with special emphasis on DWI

Evaluation of Mediastinal Lymphadenopathy by Diffusion Weighted MRI; Correlation with Histopathological Results

Diagnostic value of MRI for predicting axillary lymph nodes metastasis in newly diagnosed breast cancer patients: Diffusion-weighted MRI

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