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Imaging of Neck Nodes in Head and Neck Cancers - a Comprehensive Update.
Bhattacharya, K; Mahajan, A; Vaish, R; Rane, S; Shukla, S; D'Cruz, A K.
Affiliation
  • Bhattacharya K; Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
  • Mahajan A; The Clatterbridge Cancer Centre, NHS Foundation Trust, Liverpool, UK. Electronic address: abhishek.mahajan@nhs.net.
  • Vaish R; Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
  • Rane S; Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
  • Shukla S; Homi Bhabha Cancer Hospital, Varanasi, Uttar Pradesh, India.
  • D'Cruz AK; Apollo Hospitals, India; Union International Cancer Control (UICC), Geneva, Switzerland; Foundation of Head Neck Oncology, India.
Clin Oncol (R Coll Radiol) ; 35(7): 429-445, 2023 07.
Article in En | MEDLINE | ID: mdl-37061456
ABSTRACT
Cervical lymph node metastases from head and neck squamous cell cancers significantly reduce disease-free survival and worsen overall prognosis and, hence, deserve more aggressive management and follow-up. As per the eighth edition of the American Joint Committee on Cancer staging manual, extranodal extension, especially in human papillomavirus-negative cancers, has been incorporated in staging as it is important in deciding management and significantly impacts the outcome of head and neck squamous cell cancer. Lymph node imaging with various radiological modalities, including ultrasound, computed tomography and magnetic resonance imaging, has been widely used, not only to demonstrate nodal involvement but also for guided histopathological evaluation and therapeutic intervention. Computed tomography and magnetic resonance imaging, together with positron emission tomography, are used widely for the follow-up of treated patients. Finally, there is an emerging role for artificial intelligence in neck node imaging that has shown promising results, increasing the accuracy of detection of nodal involvement, especially normal-appearing nodes. The aim of this review is to provide a comprehensive overview of the diagnosis and management of involved neck nodes with a focus on sentinel node anatomy, pathogenesis, imaging correlates (including radiogenomics and artificial intelligence) and the role of image-guided interventions.
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Full text: 1 Database: MEDLINE Main subject: Artificial Intelligence / Head and Neck Neoplasms Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: Artificial Intelligence / Head and Neck Neoplasms Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Year: 2023 Type: Article