Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer

Usama Elsaied Ghieda; Ahmed Abdul-Raheem Badr

doi:doi:10.11648/j.ijmi.20200801.12

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Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer

Usama Elsaied Ghieda, Ahmed Abdul-Raheem Badr

Published in International Journal of Medical Imaging (Volume 8, Issue 1)

Received: 15 December 2019 Accepted: 30 December 2019 Published: 7 January 2020

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Abstract

Aim: to prospectively determine if diffusion weighted magnetic resonance imaging can help in discrimination between benign and malignant lymph nodes in patients with head and neck cancer, using histological results as the standard of reference. Patients & Methods: 40 patients complaining of palpable cervical lymph nodes with unknown primary malignancy or having known head and neck cancer. MRI neck study was done for all patients, including pre and post contrast sequences and DWI. Histopathology was done for all patients. Statistical analysis of the differences in ADC values for benign and malignant nodes was performed, together with further analysis of the differences between the ADC values of metastatic lymph nodes and lymphoma. Results: 30 patients were histopathological proved malignant lymphadenopathy (20 metastatic from head and neck malignancy and 10 primary lymphomas) and 10 patients were histopathological proved benign lymphadenopathy (1 acute reactive lymphadenitis, 1 chronic granulomatous inflammation, 4 chronic non-specific inflammation & 4 reactive lymphoid hyperplasia). A statistically significant difference between ADC values of benign and malignant cervical nodes was reported with a threshold ADC value equal to 1.30 ×10^-3 mm2/sec was identified. The ADC value for lymphoma was less than that for metastatic carcinoma, with high specificity and sensitivity values and a threshold ADC value equal to 0.9 ×10^-3 mm2/sec was identified. Conclusion: MR diffusion imaging is helpful non-invasive method in differentiation between benign and malignant lymph nodes, and to the same extent differentiation between the variant types of malignant lymphadenopathy.

Published in	International Journal of Medical Imaging (Volume 8, Issue 1)
DOI	10.11648/j.ijmi.20200801.12
Page(s)	6-15
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Diffusion-weighted Imaging (DWI), Apparent Diffusion Coefficient (ADC), Cervical Lymphadenopathy, Benign, Malignant, Reactive, Metastatic, Lymphoma

References

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APA Style

Usama Elsaied Ghieda, Ahmed Abdul-Raheem Badr. (2020). Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer. International Journal of Medical Imaging, 8(1), 6-15. https://doi.org/10.11648/j.ijmi.20200801.12

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ACS Style

Usama Elsaied Ghieda; Ahmed Abdul-Raheem Badr. Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer. Int. J. Med. Imaging 2020, 8(1), 6-15. doi: 10.11648/j.ijmi.20200801.12

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AMA Style

Usama Elsaied Ghieda, Ahmed Abdul-Raheem Badr. Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer. Int J Med Imaging. 2020;8(1):6-15. doi: 10.11648/j.ijmi.20200801.12

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@article{10.11648/j.ijmi.20200801.12,
  author = {Usama Elsaied Ghieda and Ahmed Abdul-Raheem Badr},
  title = {Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer},
  journal = {International Journal of Medical Imaging},
  volume = {8},
  number = {1},
  pages = {6-15},
  doi = {10.11648/j.ijmi.20200801.12},
  url = {https://doi.org/10.11648/j.ijmi.20200801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20200801.12},
  abstract = {Aim: to prospectively determine if diffusion weighted magnetic resonance imaging can help in discrimination between benign and malignant lymph nodes in patients with head and neck cancer, using histological results as the standard of reference. Patients & Methods: 40 patients complaining of palpable cervical lymph nodes with unknown primary malignancy or having known head and neck cancer. MRI neck study was done for all patients, including pre and post contrast sequences and DWI. Histopathology was done for all patients. Statistical analysis of the differences in ADC values for benign and malignant nodes was performed, together with further analysis of the differences between the ADC values of metastatic lymph nodes and lymphoma. Results: 30 patients were histopathological proved malignant lymphadenopathy (20 metastatic from head and neck malignancy and 10 primary lymphomas) and 10 patients were histopathological proved benign lymphadenopathy (1 acute reactive lymphadenitis, 1 chronic granulomatous inflammation, 4 chronic non-specific inflammation & 4 reactive lymphoid hyperplasia). A statistically significant difference between ADC values of benign and malignant cervical nodes was reported with a threshold ADC value equal to 1.30 ×10-3 mm2/sec was identified. The ADC value for lymphoma was less than that for metastatic carcinoma, with high specificity and sensitivity values and a threshold ADC value equal to 0.9 ×10-3 mm2/sec was identified. Conclusion: MR diffusion imaging is helpful non-invasive method in differentiation between benign and malignant lymph nodes, and to the same extent differentiation between the variant types of malignant lymphadenopathy.},
 year = {2020}
}

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TY  - JOUR
T1  - Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer
AU  - Usama Elsaied Ghieda
AU  - Ahmed Abdul-Raheem Badr
Y1  - 2020/01/07
PY  - 2020
N1  - https://doi.org/10.11648/j.ijmi.20200801.12
DO  - 10.11648/j.ijmi.20200801.12
T2  - International Journal of Medical Imaging
JF  - International Journal of Medical Imaging
JO  - International Journal of Medical Imaging
SP  - 6
EP  - 15
PB  - Science Publishing Group
SN  - 2330-832X
UR  - https://doi.org/10.11648/j.ijmi.20200801.12
AB  - Aim: to prospectively determine if diffusion weighted magnetic resonance imaging can help in discrimination between benign and malignant lymph nodes in patients with head and neck cancer, using histological results as the standard of reference. Patients & Methods: 40 patients complaining of palpable cervical lymph nodes with unknown primary malignancy or having known head and neck cancer. MRI neck study was done for all patients, including pre and post contrast sequences and DWI. Histopathology was done for all patients. Statistical analysis of the differences in ADC values for benign and malignant nodes was performed, together with further analysis of the differences between the ADC values of metastatic lymph nodes and lymphoma. Results: 30 patients were histopathological proved malignant lymphadenopathy (20 metastatic from head and neck malignancy and 10 primary lymphomas) and 10 patients were histopathological proved benign lymphadenopathy (1 acute reactive lymphadenitis, 1 chronic granulomatous inflammation, 4 chronic non-specific inflammation & 4 reactive lymphoid hyperplasia). A statistically significant difference between ADC values of benign and malignant cervical nodes was reported with a threshold ADC value equal to 1.30 ×10-3 mm2/sec was identified. The ADC value for lymphoma was less than that for metastatic carcinoma, with high specificity and sensitivity values and a threshold ADC value equal to 0.9 ×10-3 mm2/sec was identified. Conclusion: MR diffusion imaging is helpful non-invasive method in differentiation between benign and malignant lymph nodes, and to the same extent differentiation between the variant types of malignant lymphadenopathy.
VL  - 8
IS  - 1
ER  -

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Author Information

Usama Elsaied Ghieda

Radiology Department, Faculty of Medicine, Tanta University, Tanta, Egypt
Ahmed Abdul-Raheem Badr

Radiology Department, National Cancer Institute, Cairo University, Cairo, Egypt

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Plain Text BibTeX RIS

APA Style

Usama Elsaied Ghieda, Ahmed Abdul-Raheem Badr. (2020). Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer. International Journal of Medical Imaging, 8(1), 6-15. https://doi.org/10.11648/j.ijmi.20200801.12

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ACS Style

Usama Elsaied Ghieda; Ahmed Abdul-Raheem Badr. Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer. Int. J. Med. Imaging 2020, 8(1), 6-15. doi: 10.11648/j.ijmi.20200801.12

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AMA Style

Usama Elsaied Ghieda, Ahmed Abdul-Raheem Badr. Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer. Int J Med Imaging. 2020;8(1):6-15. doi: 10.11648/j.ijmi.20200801.12

Copy | Download

@article{10.11648/j.ijmi.20200801.12,
  author = {Usama Elsaied Ghieda and Ahmed Abdul-Raheem Badr},
  title = {Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer},
  journal = {International Journal of Medical Imaging},
  volume = {8},
  number = {1},
  pages = {6-15},
  doi = {10.11648/j.ijmi.20200801.12},
  url = {https://doi.org/10.11648/j.ijmi.20200801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20200801.12},
  abstract = {Aim: to prospectively determine if diffusion weighted magnetic resonance imaging can help in discrimination between benign and malignant lymph nodes in patients with head and neck cancer, using histological results as the standard of reference. Patients & Methods: 40 patients complaining of palpable cervical lymph nodes with unknown primary malignancy or having known head and neck cancer. MRI neck study was done for all patients, including pre and post contrast sequences and DWI. Histopathology was done for all patients. Statistical analysis of the differences in ADC values for benign and malignant nodes was performed, together with further analysis of the differences between the ADC values of metastatic lymph nodes and lymphoma. Results: 30 patients were histopathological proved malignant lymphadenopathy (20 metastatic from head and neck malignancy and 10 primary lymphomas) and 10 patients were histopathological proved benign lymphadenopathy (1 acute reactive lymphadenitis, 1 chronic granulomatous inflammation, 4 chronic non-specific inflammation & 4 reactive lymphoid hyperplasia). A statistically significant difference between ADC values of benign and malignant cervical nodes was reported with a threshold ADC value equal to 1.30 ×10-3 mm2/sec was identified. The ADC value for lymphoma was less than that for metastatic carcinoma, with high specificity and sensitivity values and a threshold ADC value equal to 0.9 ×10-3 mm2/sec was identified. Conclusion: MR diffusion imaging is helpful non-invasive method in differentiation between benign and malignant lymph nodes, and to the same extent differentiation between the variant types of malignant lymphadenopathy.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Diffusion-Weighted Magnetic Resonance Imaging in Characterization of Neck Lymph Nodes in Head and Neck Cancer
AU  - Usama Elsaied Ghieda
AU  - Ahmed Abdul-Raheem Badr
Y1  - 2020/01/07
PY  - 2020
N1  - https://doi.org/10.11648/j.ijmi.20200801.12
DO  - 10.11648/j.ijmi.20200801.12
T2  - International Journal of Medical Imaging
JF  - International Journal of Medical Imaging
JO  - International Journal of Medical Imaging
SP  - 6
EP  - 15
PB  - Science Publishing Group
SN  - 2330-832X
UR  - https://doi.org/10.11648/j.ijmi.20200801.12
AB  - Aim: to prospectively determine if diffusion weighted magnetic resonance imaging can help in discrimination between benign and malignant lymph nodes in patients with head and neck cancer, using histological results as the standard of reference. Patients & Methods: 40 patients complaining of palpable cervical lymph nodes with unknown primary malignancy or having known head and neck cancer. MRI neck study was done for all patients, including pre and post contrast sequences and DWI. Histopathology was done for all patients. Statistical analysis of the differences in ADC values for benign and malignant nodes was performed, together with further analysis of the differences between the ADC values of metastatic lymph nodes and lymphoma. Results: 30 patients were histopathological proved malignant lymphadenopathy (20 metastatic from head and neck malignancy and 10 primary lymphomas) and 10 patients were histopathological proved benign lymphadenopathy (1 acute reactive lymphadenitis, 1 chronic granulomatous inflammation, 4 chronic non-specific inflammation & 4 reactive lymphoid hyperplasia). A statistically significant difference between ADC values of benign and malignant cervical nodes was reported with a threshold ADC value equal to 1.30 ×10-3 mm2/sec was identified. The ADC value for lymphoma was less than that for metastatic carcinoma, with high specificity and sensitivity values and a threshold ADC value equal to 0.9 ×10-3 mm2/sec was identified. Conclusion: MR diffusion imaging is helpful non-invasive method in differentiation between benign and malignant lymph nodes, and to the same extent differentiation between the variant types of malignant lymphadenopathy.
VL  - 8
IS  - 1
ER  -

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