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Diffusion-weighted imaging and apparent diffusion coefficient mapping of head and neck lymph node metastasis: a
Maria Paola Belfiore1, Valerio Nardone1, Ida D'Onofrio2
1Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Exploration of Targeted Anti-Tumor Therapy
|December 19, 2022
Summary
Diffusion-weighted imaging (DWI) aids in diagnosing and managing head and neck squamous cell cancer (HNSCC) by assessing lymph node involvement. Further research on apparent diffusion coefficient (ADC) and DWI parameters is needed for improved prognosis and prediction models.
Area of Science:
- Oncology
- Radiology
- Medical Imaging
Background:
- Head and neck squamous cell cancer (HNSCC) is a prevalent malignancy globally.
- Lymph node (LN) status is a critical prognostic factor in HNSCC.
- Early detection of LN involvement is vital for effective treatment and patient outcomes.
Purpose of the Study:
- To review current literature on quantitative diffusion imaging for LN staging in HNSCC patients.
- To explore the role of diffusion-weighted imaging (DWI) in HNSCC management.
Main Methods:
- Systematic literature search on PubMed using keywords: DWI, MRI, head and neck, staging, lymph node.
- Adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria.
- Analysis of 18 selected peer-reviewed papers after excluding reviews, meta-analyses, case reports, and bibliometric studies.
Main Results:
- Diffusion-weighted imaging (DWI) shows promise in enhancing diagnosis and treatment planning for HNSCC.
- The selected studies indicate DWI's utility in evaluating lymph node involvement in HNSCC.
- Quantitative diffusion parameters require further investigation.
Conclusions:
- DWI is a valuable tool for improving the diagnosis, treatment planning, response evaluation, and overall management of HNSCC.
- More extensive data on apparent diffusion coefficient (ADC) and DWI parameters are necessary.
- Development of prognostic and predictive models for HNSCC using MRI requires further robust data.

