Background: The dominant pattern of failure for squamous cell carcinoma of head and neck remains loco-regional, although distant metastases are now being increasingly documented. Radical radiotherapy with concurrent chemotherapy is contemporary standard of care in the non-surgical management of these loco-regionally advanced cancers, based on large randomized controlled trials utilizing high-dose cisplatin (80–100 mg/m²) cycled every three-weekly during definitive radiotherapy. Although efficacious, this is associated with high acute morbidity necessitating intensive supportive care with attendant resource implications. The aim of this retrospective study was to assess the efficacy and acute toxicity of an alternative schedule i.e. concurrent weekly cisplatin-based radical radiotherapy and it's potential to be an optimal regimen in advanced head and neck cancers. Methods: Outcome data of patients with Stage III & IV head and neck squamous cell carcinoma, excluding nasopharynx, planned for radical radiotherapy (66–70 Gy) with concurrent weekly cisplatin (30 mg/m²) treated in a single unit between 1996–2004 was extracted. Results: The dataset consisted of 264 patients with a median age of 54 years. The median radiotherapy dose was 70 Gy (range 7.2–72 Gy) and median number of chemotherapy cycles was 6 (range 1–7). Two-thirds (65%) of patients received ≥85% of planned cisplatin dose. With a mean follow-up of 19 months, the 5-year local control; loco-regional control; and disease free survival was 57%; 46%; and 43% respectively. Acute grade 3 or worse mucositis and dermatitis was seen in 77 (29%) and 92 (35%) patients respectively, essentially in patients receiving doses ≥66 Gy and 6 or more cycles of chemotherapy. Other toxicities (hematologic, nausea and vomiting) were mild and self-limiting. Overall, the acute toxicity of this concurrent weekly chemo-radiation regimen though mildly increased did not mandate intensive supportive care. Stage grouping, primary site, and intensity of treatment were significant predictors of loco-regional control and disease free survival. Conclusion: Radical radiotherapy with concurrent weekly cisplatin has moderate efficacy and acceptable acute toxicity with potential to be an optimal regimen in loco-regionally advanced squamous cell carcinoma of the head and neck, particularly in limited-resource settings. Stage grouping, primary site, and treatment intensity are important determinants of outcome.

Preparation of site of radiation delivery is an important process in radiation treatment planning and plays a crucial role during a course of radiotherapy to achieve reproducibility of set-up and accuracy of treatment delivery. The preparation of treatment area is done by markings of field center, field edge or other reference point of planned field. Both non-invasive (marker pen, henna) and invasive methods (tattoo) are available for marking with limitations of each. Tattoo with a needle pricked at angle of 30° to 1-2 mm depth to create tattoo 2-3 mm diameter in size is an ideal procedure. Visibility, permanent nature, social-religious belief, and mobility of skin are one of the main concerns about tattoo. Tattoo removal can be done performed if desirable by patients by various modern ways, which will be esthetically available. Dermabrasion, cryotherapy, surgery, QSRL (Q-switched ruby laser) are common methods of tattoo removal. Esthetic dissatisfaction, allergy, dermatoses, keloids, infection, fanning/fading of tattoo are associated problems. In IMRT and IGRT treatment, delivery dependence on tattoo in reduced and use of surrogate markers including particularly for bony set-up and implanted markers (e.g. gold seeds) for tumor localization and treatment verification is increasing. However, these are complex procedures and require an expertise. Ease of set-up and less time required for tattooing are one of the main advantages of tattoo as compared to external or internal marker set-up. Tattoo still remains a crucial method of positioning, especially in developing countries and in palliative treatment settings.

The discipline of radiation oncology is the most resource-intensive component of comprehensive cancer care because of significant initial investments required for machines, the requirement of dedicated construction, a multifaceted workforce, and recurring maintenance costs. This review focuses on the challenges associated with accessible and affordable radiation therapy (RT) across the globe and the possible solutions to improve the current scenario. Most common cancers globally, including breast, prostate, head and neck, and cervical cancers, have a RT utilization rate of > 50%. The estimated annual incidence of cancer is 19,292,789 for 2020, with > 70% occurring in low-income countries and low-middle–income countries. There are approximately 14,000 teletherapy machines globally. However, the distribution of these machines is distinctly nonuniform, with low-income countries and low-middle–income countries having access to < 10% of the global teletherapy machines. The Directory of Radiotherapy Centres enlists 3,318 brachytherapy facilities. Most countries with a high incidence of cervical cancer have a deficit in brachytherapy facilities, although formal estimates for the same are not available. The deficit in simulators, radiation oncologists, and medical physicists is even more challenging to quantify; however, the inequitable distribution is indisputable. Measures to ensure equitable access to RT include identifying problems specific to region/country, adopting indigenous technology, encouraging public-private partnership, relaxing custom duties on RT equipment, global/cross-country collaboration, and quality human resources training. Innovative research focusing on the most prevalent cancers aiming to make RT utilization more cost-effective while maintaining efficacy will further bridge the gap.

Introduction. Hypopharyngeal cancers have extensive submucosal spread, high risk of nodal involvement and relatively high propensity of distant metastases. Contemporary paradigms for hypopharyngeal cancers aim to maximize loco-regional control while attempting to preserve laryngo-pharyngeal form and function. Aims. To retrospectively review outcome of large cohort of patients with hypopharyngeal cancers treated with curative intent radiotherapy with or without systemic chemotherapy in an academic tertiary referral centre. Material and methods. Medical records of patients with hypopharyneal cancers treated with primary non-surgical approaches over a 15-year period were reviewed retrospectively. Loco-regional control (LRC) and disease-free survival (DFS) were considered as outcome measures. Results. Electronic search of database identified 501 patients with hypopharyngeal cancers treated with definitive radiotherapy. The median age was 55 years (range 20–87 years) and median radiotherapy dose 70 Gy (range 5.4–72 Gy). With a mean follow-up period of 22 months (median 12 months), the 3-year LRC and DFS was 47.1% and 40.9% respectively. Stage (T-stage, N-stage, overall stage grouping), and age influenced outcome significantly. The 3-year LRC for T1-T2 disease was 49.7% versus 43.1% for T3-T4 stage (p = 0.056). The 3-year DFS was 49.4% and 36.9% respectively (p = 0.014). The 3-year LRC and DFS for N0; N1; and N2-3 disease was 57.3% & 54.3%; 40.5% & 35.3%; and 33% & 27% respectively with highly significant p-values. Conclusion. This is an outcome analysis of the largest cohort of patients with hypopharyngeal cancers managed with primary non-surgical approaches. Stage and age remain the most important determinants of outcome.

Low- and middle-income countries (LMICs) have a large burden of cancer with differential population needs and outcomes compared to high-income countries. Access to radiotherapy, especially modern technology, is a major challenge. Modern radiotherapy has been demonstrated with better utility in overall cancer outcomes. We deliberate various challenges and opportunities unique to LMICs' set up for access to modern radiotherapy technology in the light of discussions and deliberations made during the recently concluded annual meeting of Tata Memorial Centre, India. We take examples available from various LMICs in this direction in our manuscript.

Grading of gliomas is a piece of critical information related to prognosis and survival. Classifying glioma grade by semantic radiological features is subjective, requires multiple MRI sequences, is quite complex and clinically demanding, and can very often result in erroneous radiological diagnosis. We used a radiomics approach with machine learning classifiers to determine the grade of gliomas. Eighty-three patients with histopathologically proven gliomas underwent MRI of the brain. Whenever available, immunohistochemistry was additionally used to augment the histopathological diagnosis. Segmentation was performed manually on the T2W MR sequence using the TexRad texture analysis softwareTM, Version 3.10. Forty-two radiomics features, which included first-order features and shape features, were derived and compared between high-grade and low-grade gliomas. Features were selected by recursive feature elimination using a random forest algorithm method. The classification performance of the models was measured using accuracy, precision, recall, f1 score, and area under the curve (AUC) of the receiver operating characteristic curve. A 10-fold cross-validation was adopted to separate the training and the test data. The selected features were used to build five classifier models: support vector machine, random forest, gradient boost, naive Bayes, and AdaBoost classifiers. The random forest model performed the best, achieving an AUC of 0.81, an accuracy of 0.83, f1 score of 0.88, a recall of 0.93, and a precision of 0.85 for the test cohort. The results suggest that machine-learning-based radiomics features extracted from multiparametric MRI images can provide a non-invasive method for predicting glioma grades preoperatively. In the present study, we extracted the radiomics features from a single cross-sectional image of the T2W MRI sequence and utilized these features to build a fairly robust model to classify low-grade gliomas from high-grade gliomas (grade 4 gliomas).