Radiotherapy for Head and Neck Squamous Cell Carcinoma

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Therapy".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 741

Special Issue Editors


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Guest Editor
Unit of Radiation Oncology, Ospedale del Mare, ASL Napoli 1 Centro, 80147 Naples, Italy
Interests: head and neck squamous cell carcinoma; radiotherapy

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Guest Editor Assistant
Unit of Radiation Oncology, Ospedale del Mare, ASL Napoli 1 Centro, 80147 Naples, Italy
Interests: head and neck cancer radiotherapy; cancer treatment in elderly; cancer and nutrition; radiomic; artificial intelligenge in head and neck cancer

Special Issue Information

Dear Colleagues,

Head and neck cancer comprises 4% of malignancies and is responsible for over 650,000 cases and 330,000 deaths globally. A team of medical professionals, including oncologists, radiologists, and surgical oncologists, work together to manage these conditions. Treatment options vary based on factors such as cancer type and stage, patient preferences, and potential side effects.

Radiation therapy is a key treatment for head and neck cancer, which can occur in various sites in the head and neck. Radiotherapy can be used alone or with other treatments, such as surgery and chemotherapy, to destroy cancer cells and reduce symptoms. Benefits of radiotherapy include preserving organ function, controlling pain, and being effective for patients unable to undergo surgery, although there can be side effects such as a dry mouth and skin irritation, which can be managed with supportive care.  The use of AI in head and neck cancer radiotherapic treatment has shown promising results in optimizing and standardizing patient workflow. AI algorithms can help identify patterns and predict oncological and toxicity outcomes, leading to better clinical decision-making.

Chemoradiotherapy is the currently accepted treatment for locally advanced head and neck cancer, with the concomitant approach showing an increase in curability. HPV infection, alcohol, and tobacco use are recognized risk factors for head and neck cancers. HPV-related cancers tend to have a more favorable prognosis, resulting in intense treatments that may be unnecessary. Nevertheless, recent developments in radiotherapy, particularly intensity-modulated radiotherapy, molecular imaging-guided radiotherapy, adaptive radiotherapy, and proton therapy, can reduce the long-term toxicity of radiation therapy. Lastly, the immune system plays a vital role in fighting these cancers, and PD-1 blockade treatment has shown promising results for recurrent or metastatic head and neck cancers. In this Special Issue, we invite research papers, reviews, cancer biomarkers, and professional opinions that discuss the topic of locally advanced head and neck cancers.

Dr. Cesare Guida
Guest Editor

Ida D'Onofrio
Guest Editor Assistant

Manuscript Submission Information

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Keywords

  • head and neck squamous cell carcinoma
  • radiotherapy
  • biomarker
  • chemoradiotherapy
  • head and neck cancers

Published Papers (1 paper)

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17 pages, 2681 KiB  
Systematic Review
A Systematic Review and Meta-Analysis of 29 Studies Predicting Diagnostic Accuracy of CT, MRI, PET, and USG in Detecting Extracapsular Spread in Head and Neck Cancers
by Manish Mair, Hitesh Singhavi, Ameya Pai, Mariya Khan, Peter Conboy, Oladejo Olaleye, Rami Salha, Phil Ameerally, Ram Vaidhyanath and Pankaj Chaturvedi
Cancers 2024, 16(8), 1457; https://doi.org/10.3390/cancers16081457 - 10 Apr 2024
Viewed by 384
Abstract
Background: Extracapsular spread (ECS) is the extension of cancer cells beyond the lymph node capsule and is a significant prognostic factor in head and neck cancers. This meta-analysis compared the diagnostic accuracy of CT, MRI, PET, and USG in detecting ECS in head [...] Read more.
Background: Extracapsular spread (ECS) is the extension of cancer cells beyond the lymph node capsule and is a significant prognostic factor in head and neck cancers. This meta-analysis compared the diagnostic accuracy of CT, MRI, PET, and USG in detecting ECS in head and neck cancers. Methodology: The authors conducted a systematic review and meta-analysis of studies that compared the diagnostic accuracy of CT, MRI, PET, and USG in detecting ECS in head and neck cancers. They included studies that were published between 1990 and December 2023 and that used histopathology as the reference standard for ECS. Results: The pooled sensitivity and specificity of CT scan were 0.63 (95% CI = 0.53–0.73) and 0.85 (95% CI = 0.74–0.91), respectively. The pooled sensitivity and specificity of MRI were 0.83 (95% CI = 0.71–0.90) and 0.85 (95% CI = 0.73–0.92), respectively. The pooled sensitivity and specificity of PET were 0.80 (95% CI = 0.74–0.85) and 0.93 (95% CI = 0.92–0.94), respectively. The pooled sensitivity and specificity of USG were 0.80 (95% CI = 0.68–0.88) and 0.84 (95% CI = 0.74–0.91), respectively. MRI had significantly higher sensitivity than CT scan (p-0.05). The specificity of CT and MRI was not significantly different (p-0.99). PET scan had the highest specificity among all imaging modalities. Conclusion: MRI is the most accurate imaging modality for detecting ECS in head and neck cancers. CT scan is a reasonable alternative, but PET scan may be considered when high specificity is required. USG may not add any further benefit in detecting ECS. Full article
(This article belongs to the Special Issue Radiotherapy for Head and Neck Squamous Cell Carcinoma)
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