Apparent diffusion coefficient values of necrotic and solid portion of lymph nodes: Differential diagnostic value in cervical lymphadenopathy

Zhang, Y.; Chen, J.; Shen, Jun; Zhong, Jun; Ye, R.; Liang, Beibei

doi:10.1016/j.crad.2011.04.002

Cited by 46 publications

(33 citation statements)

References 14 publications

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“…On MRI, PRL exhibits a hypointense signal on T1-weighted images and an isointense to hypointense signal on T2-weighted images. PRL may also demonstrate restricted diffusion on diffusion-weighted imaging (13 (16,17). It has also been shown that PRL exhibits an area of intense fluorodeoxyglucose ( 18 F-FDG) uptake on 18 F-FDG positron emission tomography/CT (PET/CT) images.…”

Section: Introductionmentioning

confidence: 99%

Primary renal lymphoma: A case report and literature review

Chen

Fang

et al. 2016

Oncology Letters

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Abstract. Primary renal lymphoma (PRL) is a rare disease, with no more than 70 cases reported in the literature. The present study reports the case of a 70-year-old woman with PRL. The patient was asymptomatic, however, a mass on the right kidney was identified incidentally during routine physical examination. Computed tomography revealed a mass in the right kidney that was 3.6 cm in diameter. Subsequently, right nephrectomy was performed. The histological evaluation of the nephrectomy specimen showed diffuse large B-cell non-Hodgkin's lymphoma. The patient was treated with 6-8 cycles of a cyclophosphamide, epirubicin, vindesine and dexamethasone regimen. Follow-up examination performed after 2 months of treatment revealed no evidence of local recurrence. The present study also reviewed 49 cases of PRL that have been reported since 1989. It was found that a shorter survival time was experienced by patients with bilateral PRL (mean, 21 months) compared with unilateral PRL (mean, 68 months). A shorter survival time was also experienced by patients who were treated with chemotherapy only (mean, 15.8 months) compared with those who were treated with combination chemotherapy and surgery (mean, 49.4 months).

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Section: Introductionmentioning

confidence: 99%

Primary renal lymphoma: A case report and literature review

Chen

Fang

et al. 2016

Oncology Letters

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“…Additional studies enrolling more cases from different centres are required for confirming our findings and optimizing the cluster number. Some studies 8,[10][11][12][13] Padhani et al 31 indicated that some studies have reported mean values from single or multiple ROIs placed on ADC maps, and these measures may be limited to detecting treatment-related changes in ADC values such as cystic or necrotic areas. They used the cumulative frequency ADC histogram to present the percentile of ADC values.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, a careful selection of ROI positions within suspect lesions is required for measuring ADCs, because a variation in the positions affects study results. 13 The fuzzy C-means (FCM) clustering method enables clustering one data set into various groups with common traits. [14][15][16] We hypothesize that lesion classification into partitions through clustering analysis more efficiently distinguishes malignant from benign lesions than methods that entail using whole-lesion mean ADC values.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy C-means clustering of magnetic resonance imaging on apparent diffusion coefficient maps for predicting nodal metastasis in head and neck cancer

Lee

Chen

Liu

et al. 2016

BJR

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Objective: The present study evaluated and analyzed apparent diffusion coefficients (ADCs) from partitions through a fuzzy C-means (FCM) technique for distinguishing nodal metastasis in head and neck cancer. Methods: MRI studies of 169 lymph node lesions, dissected from 22 patients with a histopathologically confirmed lymph node status, were analyzed using in-house software developed using MATLAB® (The MathWorks® Inc., Natick, MA). A radiologist manually contoured the lesions, and ADCs for each lesion were divided into two (low and high) and three (low, intermediate and high) partitions by using the FCM clustering algorithm. Results: The results showed that the low-value ADC clusters were more sensitive (95.7%) in distinguishing malignant from benign lesions than the whole-lesion mean ADC values (78.3%), while retaining a high specificity (approximately 90%). Moreover, receiveroperating characteristic curves demonstrated that the low-value ADC clusters used as a predictor of malignancy for lymph nodes could achieve a higher area under the curve (0.949 and 0.944 for two and three partitions, respectively). Conclusion: The segmentation by ADC values of lesions through the FCM technique enables the efficient characterization of the lymph node pathology and can help distinguish malignant from benign lymph nodes. Advances in knowledge: Tumour heterogeneity may degrade the prediction of metastatic lymph nodes that involves using mean region-of-interest ADC values. The clustering of ADC values in lesions by using FCM can improve the diagnostic accuracy of nodal metastasis and reduce interreader variance.

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“…Driessen et al found higher ADC values in benign compared to malignant lesions in primary head and necksquamous cell carcinomas [5]. Zhang et al reported that the ADC values both of the necrotic and solid portions of the lymph nodes are useful in differentiation between the causes of cervical lymphadenopathy [6,7]. In this research we are proposin the use of different b-values to differentiate tumoral lesions: primary tumors and nodes.…”

Section: Introductionmentioning

confidence: 95%

ADC biomarker for head and neck tumors

Pacheco-Bravo

Silvia

Kena

et al. 2014

AIP Conference Proceedings

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Abstract. According to the World Cancer Report, by 2020, global incidence of cancer may increase by 50%, which means 15 million new cases. In 2000, malignant tumors were the cause of 12% of the almost 56 million deaths worldwide due to all causes [1][2][3][4]. 18 men and 19 women, with an average age of 53 ± 14 years with diagnosis of head and neck cancer were scanned using a 1.5-T MR imaging unit (Signa HDxt; GE Medical Systems). Echo-planar DW imaging was performed in the transverse plane before the contrast material injection. Three b values were applied: 40, 100, and 800 sec/mm2. Primary tumors and nodes were evaluated, with diameters greater than 43 ± 15mm. In our study, ADC data for b-values of 40 showed correlation for identification of malignancy in primary tumors, and in the case of nodes there is a tendency toward malignancy in sequences in which a b-value of 800 is used.

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Apparent diffusion coefficient values of necrotic and solid portion of lymph nodes: Differential diagnostic value in cervical lymphadenopathy

Cited by 46 publications

References 14 publications

Primary renal lymphoma: A case report and literature review

Primary renal lymphoma: A case report and literature review

Fuzzy C-means clustering of magnetic resonance imaging on apparent diffusion coefficient maps for predicting nodal metastasis in head and neck cancer

ADC biomarker for head and neck tumors

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