Apparent Diffusion Coefficient for Distinguishing Between Malignant and Benign Lesions in the Head and Neck Region: A Systematic Review and Meta-Analysis

Surov, Alexey; Wienke, Andreas

doi:10.3389/fonc.2019.01362

Cited by 36 publications

(33 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In parotid glands, DW-MRI is commonly used in clinical evaluation, for example with information about localization of the tumor within the parotid gland and differentiation of malignancy from benignity (3). It has also been investigated for the diagnosis of xerostomia, Sjögren's syndrome, Kimura disease and other non-neoplastic disorders affecting the parotid glands.…”

Section: Introductionmentioning

confidence: 99%

Apparent diffusion coefficient measurement of the parotid gland parenchyma

Bruvo¹,

Mahmood²

2021

Quant Imaging Med Surg

View full text Add to dashboard Cite

The measurements of apparent diffusion coefficient (ADC) with diffusion weighted magnetic resonance imaging (DW-MRI) is becoming a popular diagnostic and research tool for examination of parotid glands. However, there is little agreement between the reported ADC values of the parotid gland in published literature. In this review 43 studies on ADC measurement of the parotid glands were included.The analyses indicated several possible culprits of the observed ADC discrepancies. For example, DW-MRI examinations under gustatory stimulation gives higher ADC values compared to the unstimulated parotid gland (P=0.003). The diffusion weighting factors (b-values) can either increase (b-value <200 s/mm 2 ) or decrease ADC values (b-values >1,000 s/mm 2 ). The timing of follow-up DW-MRI after radiotherapy (RT) indicates correlation to the found ADC values (R 2 =0.39). Interestingly, the choice of regions of interest (ROI) appears not to affect the measurements of ADC (P=0.75). It can be concluded that there is a critical need for standardization of ADC measurement of the parotid glands to allow valid inter-study comparisons and eventually to reach consensus on the use of ADC as biomarker.

show abstract

Section: Introductionmentioning

confidence: 99%

Apparent diffusion coefficient measurement of the parotid gland parenchyma

Bruvo¹,

Mahmood²

2021

Quant Imaging Med Surg

View full text Add to dashboard Cite

show abstract

“…Suh et al their meta-analysis suggested that the median ADC cutoff value of 0.965 × 10 − 3 mm 2 /s can differentiate between benign and malignant nodes [ 27 ]. Most recent meta-analysis indicates that the studies which previously used DWI/ADC for differentiating benign from malignant nodes reported limited role due to small sample studies, a wide range of ADC threshold values [ 28 ]. The study suggested that it may be only lesions with mean ADC values above 1.75 × 10 − 3 mm 2 /s are probably benign [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Diffusion-Weighted Imaging (DWI) derived from PET/MRI for lymph node assessment in patients with Head and Neck Squamous Cell Carcinoma (HNSCC)

Freihat

Pintér²,

Kedves

et al. 2020

Cancer Imaging

View full text Add to dashboard Cite

Background To determine the usefulness of Diffusion Weighted Imaging (DWI) derived from PET/MRI in discriminating normal from metastatic lymph nodes and the correlation between the metastatic lymph nodes with the grade and the localization of the primary tumor. Methods Retrospective study of 90 lymph nodes from 90 subjects; 65 patients who had proven histopathological metastatic lymph nodes from (HNSCC) who had undergone 18 F- PET/MRI for clinical staging and assessment and twenty-five lymph nodes were chosen from 25 healthy subjects. Apparent Diffusion Coefficient (ADC) map was generated from DWI with b values (0 and 800 s/mm 2 ). ADC values of the metastatic lymph nodes were calculated and compared to the normal lymph nodes ADC values, ROC was used to determine the best cut-off values to differentiate between the two group. Metastatic lymph nodes ADC mean values were compared to primary tumor grade and localization. Results ADCmean value of the metastatic lymph nodes in the overall sample (0.899 ± 0.98*10 − 3 mm 2 /sec) was significantly lower than the normal lymph nodes’ ADCmean value (1.267 ± 0.88*10 − 3 mm 2 /sec); ( P = 0.001). The area under the curve (AUC) was 98.3%, sensitivity and specificity were 92.3 and 98.6%, respectively, when using a threshold value of (1.138 ± 0.75*10 − 3 mm 2 /sec) to differentiate between both groups. Significant difference was found between metastatic lymph nodes (short-axis diameter < 10 mm), ADCmean (0.898 ± 0.72*10 − 3 mm 2 /sec), and the benign lymph nodes ADCmean, ( P = 0.001). No significant difference was found between ADCmean of the metastatic lymph nodes < 10 mm and the metastatic lymph nodes > 10 mm, ADCmean (0.899 ± 0.89*10 − 3 mm 2 /sec), ( P = 0.967). No significant differences were found between metastatic lymph nodes ADCmean values and different primary tumor grades or different primary tumor localization, ( P > 0.05). Conclusion DWI-ADC is an effective and efficient imaging technique in differentiating between normal and malignant lymph nodes, and might be helpful to discriminate sub-centimeters lymph nodes. Trial registration The trial is registered in clinical trials under ID: NCT04360993 , registration date: 17/04/2020.

show abstract

“…It has been widely shown that ADC is inversely associated with cell count and proliferation potential throughout oncology [7][8][9]. A key fact is that typically malignant tumors have lower ADC values in comparison to benign ones, which was shown for several body regions [10][11][12].…”

Section: Introductionmentioning

confidence: 91%

Apparent diffusion coefficient cannot discriminate metastatic and non-metastatic lymph nodes in rectal cancer: a meta-analysis

Surov

Meyer

Pech

et al. 2021

Int J Colorectal Dis

Self Cite

View full text Add to dashboard Cite

Background Our aim was to provide data regarding use of diffusion-weighted imaging (DWI) for distinguishing metastatic and non-metastatic lymph nodes (LN) in rectal cancer. Methods MEDLINE library, EMBASE, and SCOPUS database were screened for associations between DWI and metastatic and non-metastatic LN in rectal cancer up to February 2021. Overall, 9 studies were included into the analysis. Number, mean value, and standard deviation of DWI parameters including apparent diffusion coefficient (ADC) values of metastatic and non-metastatic LN were extracted from the literature. The methodological quality of the studies was investigated according to the QUADAS-2 assessment. The meta-analysis was undertaken by using RevMan 5.3 software. DerSimonian, and Laird random-effects models with inverse-variance weights were used to account the heterogeneity between the studies. Mean DWI values including 95% confidence intervals were calculated for metastatic and non-metastatic LN. Results ADC values were reported for 1376 LN, 623 (45.3%) metastatic LN, and 754 (54.7%) non-metastatic LN. The calculated mean ADC value (× 10−3 mm2/s) of metastatic LN was 1.05, 95%CI (0.94, 1.15). The calculated mean ADC value of the non-metastatic LN was 1.17, 95%CI (1.01, 1.33). The calculated sensitivity and specificity were 0.81, 95%CI (0.74, 0.89) and 0.67, 95%CI (0.54, 0.79). Conclusion No reliable ADC threshold can be recommended for distinguishing of metastatic and non-metastatic LN in rectal cancer.

show abstract

Apparent Diffusion Coefficient for Distinguishing Between Malignant and Benign Lesions in the Head and Neck Region: A Systematic Review and Meta-Analysis

Cited by 36 publications

References 44 publications

Apparent diffusion coefficient measurement of the parotid gland parenchyma

Apparent diffusion coefficient measurement of the parotid gland parenchyma

Diffusion-Weighted Imaging (DWI) derived from PET/MRI for lymph node assessment in patients with Head and Neck Squamous Cell Carcinoma (HNSCC)

Apparent diffusion coefficient cannot discriminate metastatic and non-metastatic lymph nodes in rectal cancer: a meta-analysis

Contact Info

Product

Resources

About