BACKGROUND: Head and neck malignancies are responsible for 30% of all cancers in India with a dramatic increase in numbers due to widespread tobacco consumption. This study aims to assess the epidemiological and histopathological spectrum of these tumors.
METHODS: A large retrospective review of 5469 biopsy-proven patients presenting between 2018 and 2022 with head and neck cancers was done. Tumors were analysed for distribution according to sites of presentations, gender, age and histopathological profiles.
RESULTS: With a male-to-female ratio of 4.2:1, men constituted 80.80% of the study population. Mean age of presentation in women was 53.5 years, whereas men presented at an earlier age of 47.2 years. Oral cavity was the commonest site involved (59.7% cases) followed by the oropharynx (23.8% cases). Buccal mucosa was the commonest subsite involved with 1112 cases followed by tongue lesions with 1088 cases. Larynx was responsible for 17.04% of cases. All subsites were more commonly affected in men with the highest Male: Female ratio of 8.29:1 seen in larynx. The lowest ratio of 1.02:1 was seen in lesions of the face and scalp. Squamous cell carcinoma (SCC) was the most common histopathological diagnosis encountered in 88.97% of cases followed by basal cell carcinoma which was seen in 2.10% lesions.
CONCLUSIONS: Oral cavity lesions constitute the bulk of head and neck cancer presentations in India. The disease is more prevalent in men overall and men present at a younger age in comparison to women. SCC is the most prominent histopathology encountered in our study.

Pleomorphic adenomas (PA) are the most common type of salivary gland tumors. These slow-growing benign tumors most commonly involve the parotid gland, but can sometimes occur at atypical sites such as the submandibular or minor salivary glands. We describe an atypical case of pleomorphic adenoma with multicentric involvement of the parotid, the submandibular gland, and the parapharyngeal space in a 35-year-old male which mimicked a slow-flow malformation on magnetic resonance imaging (MRI). Diagnosis was confirmed on fine needle aspiration cytology, and conservative approach was opted for the patient in view of perioperative risks. This case highlights the uncommon multicentricity and atypical presentation of PA, challenging the initial differential diagnosis based on MRI features. It also underscores the importance of considering atypical presentations and utilizing accurate diagnostic tools like cytology for managing complex salivary gland tumors.

OBJECTIVE: Sinonasal nuclear protein in testis carcinoma (SNUTC) is a rare, aggressive malignancy caused by genetic rearrangements in the NUTM1 gene. The prognosis of SNUTC ranks among the most unfavorable within the naso-sinusal district, with an overall survival of 9.7 months. This systematic review aimed to determine the best therapeutic strategy for SNUTC.
METHODS: We reviewed eligible articles for patient demographics, TNM and stage at presentation, best response after primary treatment, disease-free survival and overall survival (OS) times, other following therapy lines, and final outcomes.
RESULTS: Among 472 unique citations, 17 studies were considered eligible, with reported treatment data for 25 patients. Most studies (n = 12) were case reports. The most frequently administered treatment regimen was surgery as primary treatment and combined radiochemotherapy as second-line or adjuvant treatment. Four patients were alive at follow-up.
CONCLUSIONS: Basing on the existing literature, a standardized line in the treatment of SNUTC is not yet well delineated. A self-personalized strategy of therapy should be drawn on each patient affected by SNUTC.

The purpose of this study was to review the diagnostic accuracy of MRI in detecting perineural spreading (PNS) of head and neck tumors using histopathological or surgical evidence from the afflicted nerve as the reference standard. Previous studies in the English language published in the last 30 years were searched from PubMed and Embase databases. We included studies that used magnetic resonance imaging (MRI) (with and without contrast enhancement) to detect PNS, as well as the histological or surgical confirmation of PNS, and that reported the exact numbers of patients required for assessing diagnostic accuracy. The outcome measures were sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Heterogeneity was assessed with the Higgins inconsistency test (I2). P-values smaller than 0.05 were considered statistically significant. A total of 11 retrospective studies were found, reporting 319 nerve samples from 245 patients. Meta-analytic estimates and their 95% confidence intervals were as follows: sensitivity 0.85 (0.70-0.95), specificity 0.85 (0.80-0.89), PPV 0.86 (0.70-0.94), and NPV 0.85 (0.71-0.93). We found statistically significant heterogeneity for sensitivity (I2 = 72%, p = 0.003) and PPV (I2 = 70%, p = 0.038), but not for NPV (I2 = 65%, p = 0.119) or specificity (I2 = 12%, p = 0.842). The most frequent MRI features of PNS were nerve enlargement and enhancement. Squamous cell carcinoma and adenoid cystic carcinoma were the most common tumor types, and the facial and trigeminal nerves were the most commonly affected nerves in PNS. Only a few studies provided examples of false MRI diagnoses. MRI demonstrated high diagnostic accuracy in depicting PNS of cranial nerves, yet this statement was based on scarce and heterogeneous evidence.

The joint analysis of single-cell transcriptomics, proteomics, lipidomics, metabolomics and spatial metabolomics is continually transforming our understanding of the mechanisms of metabolic reprogramming in tumor cells. Since head and neck tumor is the sixth most common tumor in the world, the study of the metabolic mechanism of its occurrence, development and prognosis is still undeveloped. In the past decade, this field has witnessed tremendous technological revolutions and considerable development that enables major breakthroughs to be made in the study of human tumor metabolism. In this review, a comprehensive comparison of traditional metabolomics and spatial metabolomics has been concluded, and the recent progress and challenges of the application of spatial metabolomics combined multi-omics in the research of metabolic reprogramming in tumors are reviewed. Furthermore, we also highlight the advances of spatial metabolomics in the study of metabolic mechanisms of head and neck tumors, and provide an outlook of its application prospects.

This systematic review aims to provide a comprehensive understanding of the role of human papillomavirus (HPV) in head and neck cancer of unknown primary (HNCUP). HNCUP is a rare type of cancer with an unknown primary site, which makes it difficult to diagnose and treat. The review includes articles published between 2013 and 2023 that investigated the prevalence of HPV in HNCUP, its association with clinical outcomes, and its potential implications for diagnosis and treatment. The search was conducted in 11 electronic databases, and the gray literature: Cochrane, Cumed, IBECS, JAMA Network, LILACS, MEDLINE Ovid, MEDLINE-EBSCO, PubMed, Scopus, SciELO, and Taylor & Francis Online; a total of 23 studies met the inclusion criteria. The review found that HPV is present in a significant proportion of HNCUP cases, ranging from 15.5% to 100%. HNCUP incidence is increasing, and the presence of HPV was associated with improved clinical outcomes in some studies, such as overall survival and disease-free survival; but was found to have no association with outcomes in others. This may have implications for diagnostic and treatment strategies. The findings of this review suggest that further research is needed to better understand the role of HPV in HNCUP and to develop targeted therapies for this disease.

BACKGROUND: Patients with brain, head, and neck tumors experience a decline in their quality of life due to radiation retinopathy and optic neuropathy. Little is known about the dose-response relationship and patient characteristics. We aimed to systematically review the prevalence of radiation retinopathy and optic neuropathy.
METHODS: The primary outcome was the pooled prevalence of radiation retinopathy and optic neuropathy. The secondary outcome included the effect of the total radiation dose prescribed for the tumor according to the patient\'s characteristics. Furthermore, we aimed to evaluate the radiation dose parameters for organs at risk of radiation retinopathy and optic neuropathy.
RESULTS: The pooled prevalence was 3.8%. No retinopathy was reported for the tumor\'s prescribed dose of <50 Gy. Optic neuropathy was more prevalent for a prescribed dose of >50 Gy than <50 Gy. We observed a higher prevalence rate for retinopathy (6.0%) than optic neuropathy (2.0%). Insufficient data on the dose for organs at risk were reported.
CONCLUSIONS: The prevalence of radiation retinopathy was higher compared to optic neuropathy. This review emphasizes the need for future studies considering retinopathy and optic neuropathy as primary objective parameters.

Recent advances in machine learning and artificial intelligence technology have ensured automated evaluation of medical images. As a result, quantifiable diagnostic and prognostic biomarkers have been created. We discuss radiomics applications for the head and neck region in this paper. Molecular characterization, categorization, prognosis and therapy recommendation are given special consideration. In a narrative manner, we outline the fundamental technological principles, the overall idea and usual workflow of radiomic analysis and what seem to be the present and potential challenges in normal clinical practice. Clinical oncology intends for all of this to ensure informed decision support for personalized and useful cancer treatment. Head and neck cancers present a unique set of diagnostic and therapeutic challenges. These challenges are brought on by the complicated anatomy and heterogeneity of the area under investigation. Radiomics has the potential to address these barriers. Future research must be interdisciplinary and focus on the study of certain oncologic functions and outcomes, with external validation and multi-institutional cooperation in order to achieve this.

In the treatment of various patients, the presence of lymphovascular invasion is a prognostic determinant, often taken into account by surgeons and oncologists. The exact frequency and prognostic impacts of this microscopic event in adenoid cystic carcinoma (ACC) patients are, however, not clear. This systematic review and meta-analysis aimed to investigate the lymph node involvement and the clinical stage of cancer as predictors of ACC prognosis. A systematic search was conducted covering a number of databases, including PubMed, Science Direct, Google Scholar, Web of Science, and EBSCO. A total of three studies were included in this analysis, with 591 participants, 247 of whom were males. Lymph node involvement and clinical stage were demonstrated as significant bad prognosis factors among ACC patients (HR = 1.48, 95% CI, 1.00, 1.96; P<0.0001). We found that lymph node involvement and clinical stage of the cancer are both significant predictors of bad prognosis of ACC.

Radiomics is an upcoming field in nuclear oncology, both promising and technically challenging. To summarize the already undertaken work on supradiaphragmatic neoplasia and assess its quality, we performed a literature search in the PubMed database up to 18 February 2022. Inclusion criteria were: studies based on human data; at least one specified tumor type; supradiaphragmatic malignancy; performing radiomics on PET imaging. Exclusion criteria were: studies only based on phantom or animal data; technical articles without a clinically oriented question; fewer than 30 patients in the training cohort. A review database containing PMID, year of publication, cancer type, and quality criteria (number of patients, retrospective or prospective nature, independent validation cohort) was constructed. A total of 220 studies met the inclusion criteria. Among them, 119 (54.1%) studies included more than 100 patients, 21 studies (9.5%) were based on prospectively acquired data, and 91 (41.4%) used an independent validation set. Most studies focused on prognostic and treatment response objectives. Because the textural parameters and methods employed are very different from one article to another, it is complicated to aggregate and compare articles. New contributions and radiomics guidelines tend to help improving quality of the reported studies over the years.