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Aim: This article examines India's present radiotherapy (RT) machine status and requirements, geographical distribution, and infrastructure need in six regional areas, which include 31 member states and union territories (UTs). It also considers the influence of the COVID-19 pandemic on India's teletherapy sector. Materials and Methods: Data from reliable resources, including Atomic Energy Regulatory Board, Global Cancer Observatory, and Directory of Radiotherapy Centres databases, were used to analyze the current status of RT machine (RTM) density, regional disparity, and COVID-19 impact on infrastructure growth-rate. Results: In India, the number of functioning RTM and facilities are 823 and 554, respectively, with an average of 1.5 RTM per institute, of which 69.4% have only one RTM. Over the past 22 years, there has been a paradigm shift towards medical linear accelerator (linac) installation instead of telecobalt machines. Presently, there is a teletherapy density of 0.6 RTM per million population, and there is a shortfall of 1209 RTMs. There is a considerable regional disparity in the distribution of RTMs, ranging from (0.08 RTM/million-2.94 RTM/million) across different regions. There is a significant demand for RTMs in the Northern region (480) and the state of Uttar Pradesh (279). The COVID-19 pandemic temporarily impacted India's RT growth rate, reducing it from 5% to 1.9% in 2020-2021. Conclusions: New policies must be established to accelerate the rate of RT installation growth. To better serve local populations and save patient costs, this article proposes that RT facilities be dispersed equitably across states. [ABSTRACT FROM AUTHOR]

Aim: Cancer is a significant public health concern, and National Cancer Control Programs (NCCPs) are crucial for reducing its burden. However, assessing the progress of NCCPs is challenging due to the complexity of cancer control outcomes and the various factors that influence them. Composite indicators can provide a comprehensive and accurate assessment of NCCP progress. Materials and Methods: The dataset was compiled for 144 countries and comprised eight composite indices and two high-level comparative indicators (mortality-to-cancer incidence ratio [MIR] and 5-year cancer prevalence-to-incidence ratio [PCIR]) representing NCCP outcomes. Two large databases and six annual composite index reports were consulted. Linear regression analysis and Pearson correlation coefficients were used to establish a relationship between indicators and NCCP outcomes. A multiple regression machine learning model was generated to further improve the accuracy of NCCP outcome prediction. Results: High-income countries had the highest cancer incidence, whereas low-income countries had the highest MIR. Linear regression analysis indicated a negative trend between all composite indicators and MIR, whereas a positive trend was observed with PCIR. The Human Development Index and the Legatum Prosperity Index had the highest adjusted R2 values for MIR (0.74 and 0.73) and PCIR (0.86 and 0.81), respectively. Multiple linear regression modeling was performed, and the results indicated a low mean squared error score (-0.02) and a high R2 score (0.86), suggesting that the model accurately predicts NCCP outcomes. Conclusions: Overall, composite indicators can be an effective tool for evaluating NCCP, and the results of this study can aid in the development and keeping track of NCCP progress for better cancer control. [ABSTRACT FROM AUTHOR]

This study aims to compare dose escalation between two groups of reirradiated cancer patients, one with the previous contour and radiotherapy plan available on the treatment planning system and the other without. First group is identified as DICOM-group, while the other one is called non-DICOM group. The current study included 89 patients, 57 in the DICOM, and 32 in the non-DICOM group, who received reirradiation for recurrent or second primary tumours between 2019 and 2021. For the DICOM group, doses to 0.2cc volume for spine, brainstem, and optic apparatus from first radiation were converted into structures and transferred to reirradiation CT using deformable registration. First, one radiotherapy plan was created using the doctor prescribed dose (baseline prescription RxD_B); further an escalated dose (RxD_E) plan, taking into account all the dose volume parameters from previous radiation, was created only for DICOM group. In non-DICOM group patients were planned only for RxD_B. The maximum accepted dose escalation was 21 Gy. Radiotherapy prescription dose during earlier (first) treatment in DICOM and non-DICOM groups were 61 ± 5.6 Gy and 30–66 Gy, respectively. DICOM and non-DICOM groups had nearly identical baseline doses: 52.5 ± 10.7 Gy and 50.6 ± 6.9 Gy (difference 1.9 ± 12.7 Gy). Dose escalation was possible for 51 out of 57 patients in the DICOM-group. Average escalated dose in DICOM-group was 59.2 ± 6.2 Gy, with an incremental dose of 6.7 ± 12.4 Gy from the baseline prescription. No dose escalation was opted for in the non-DICOM group due to the unavailability of dose volume information from previous radiation. Reirradiation for head and neck cases allowed for a moderate to high dose escalation, facilitated by the presence of pertinent DICOM information from the initial radiotherapy. [ABSTRACT FROM AUTHOR]

Non‐small cell lung cancer (NSCLC) is considered the most common type of lung cancer (>80% of all lung cancers); patients are often diagnosed at advanced stages of the disease. The management of NSCLC is considered challenging owing to variations in size, an extension of the tumors, involvement patterns, and classification. Although adequate literature and guidelines are available on the management of NSCLC in several countries, an Indian perspective on stage III NSCLC management is lacking. We used the modified Delphi approach to form consensus statements. A thorough literature search was done. The authors then convened and deliberated over published literature, available guidelines, and clinical judgment. Recommendation statements were formed for different clinical scenarios. These statements were sent as a form of survey to other oncologists, and their responses were recorded and mentioned. Evidence‐based statements were formed for diagnosing and managing stage III NSCLC. These recommendation statements cover various aspects—surgical, radiation, and medical treatment in various clinical scenarios including adjuvant, neoadjuvant, and consolidation therapies. [ABSTRACT FROM AUTHOR]

Purpose: Rising cancer incidences, complex treatment techniques, and workflows have all impacted the radiotherapy scheduling process. Intelligent appointment scheduling is needed to help radiotherapy users adapt to new practices. Materials and Methods: We utilized van Herk’s safety margin formula to determine the radiotherapy department’s treatment scheduling window (TSW). In addition, we examined the influence of in‑room imaging on linac occupancy time (LOT). Varian Aria™ software version 15.1 was used to collect retrospective data on LOT, treatment site, intent, techniques, special protocol, and in‑room imaging. Results: Treatment scheduling windows varied across treatment sites. The mean TSW using van Herk’s formalism was 31.5 min, significantly longer than the current TSW of 15 min (P = 0.036), with the pelvic site having the longest (43.8 min) and the brain site having the shortest (12 min). 28% of patients exceeded the in‑practice TSW of 15 min. 46.2% of patients had multiple images per fraction, with the proportion being highest in pelvic patients(33%). Patients treated with palliative intent, intensity‑modulated radiotherapy, special protocols (bladder protocol and gating), and multiple in‑room images per fraction had significantly higher LOT. High treatment time uncertainty was observed in the pelvic and thorax sites, indicating the impact of in‑room imaging frequency and on‑couch treatment decisions on overall treatment time and indicating that current treatment practices should be reviewed and modified if necessary. Conclusions: The time margin recipe can customize the treatment scheduling window and improve treatment practices. This formalism can help manage the radiotherapy department’s workload and reduce patient wait times. [ABSTRACT FROM AUTHOR]

Context: Rotation corrected set-up margins in stereotactic radiotherapy (SRT). Aims: This study aimed to calculate the rotational positional error corrected set-up margin in frameless SRT. Settings and Design: 6D setup errors for the steriotactic radiotherapy patients were converted to 3D translational only error mathematically. Setup margins were calculated with and without considering the rotational error and compared. Materials and Methods: A total of 79 patients of SRT each received >1 fraction (3–6 fractions) incorporated in this study. Two cone‑beam computed tomography(CBCT) scans were acquired for each session of treatment, before and after the robotic couch‑aided patient position correction using a CBCT. The postpositional correction set-up margin was calculated using the van Herk formula. Further, a planning target volume_R (PTV_R) (with rotational correction) and PTV_NR (without rotational correction) were calculated by applying the rotation corrected and uncorrected set-up margins on the gross tumor volumes (GTVs). Statistical Analysis Used: General. Results: A total of 380 sessions of pre‑ (190) and post (190) table positional correction CBCT was analyzed. Posttable position correction mean positional error for lateral, longitudinal, and vertical translational and rotational shifts was (x)‑0.01 ± 0.05 cm, (y)‑0.02 ± 0.05 cm, (z) 0.00 ± 0.05 cm, and (θ) 0.04° ± 0.3°, (Φ) 0.1° ± 0.4°, (Ψ) 0.0° ± 0.4°, respectively. The GTV volumes show a range of 0.13 cc–39.56 cc, with a mean volume of 6.35 ± 8.65 cc. Rotational correction incorporated postpositional correction set-up margin the in lateral (x), longitudinal (y) and vertical (z) directions were 0.05 cm, 0.12 cm, and 0.1 cm, respectively. PTV_R ranges from 0.27 cc to 44.7 cc, with a mean volume of 7.7 ± 9.8 cc. PTV_NR ranges from 0.32 cc to 46.0 cc, with a mean volume of 8.1 ± 10.1 cc. Conclusions: The postcorrection linear set-up margin matches well with the conventional set-up margin of 1 mm. Beyond a GTV radius of 2 cm, the difference between PTV_NR and PTV_R is ≤2.5%, hence not significant. [ABSTRACT FROM AUTHOR]

Background and Purpose: In recent years, data science approaches have entered health-care systems such as radiology, pathology, and radiation oncology. In our pilot study, we developed an automated data mining approach to extract data from a treatment planning system (TPS) with high speed, maximum accuracy, and little human interaction. We compared the amount of time required for manual data extraction versus the automated data mining technique. Materials and Methods: A Python programming script was created to extract specified parameters and features pertaining to patients and treatment (a total of 25 features) from TPS. We successfully implemented automation in data mining, utilizing the application programming interface environment provided by the external beam radiation therapy equipment provider for the whole group of patients who were accepted for treatment. Results: This in-house Python-based script extracted selected features for 427 patients in 0.28 ± 0.03 min with 100% accuracy at an astonishing rate of 0.04 s/plan. Comparatively, manual extraction of 25 parameters took an average of 4.5 ± 0.33 min/plan, along with associated transcriptional and transpositional errors and missing data information. This new approach turned out to be 6850 times faster than the conventional approach. Manual feature extraction time increased by a factor of nearly 2.5 if we doubled the number of features extracted, whereas for the Python script, it increased by a factor of just 1.15. Conclusion: We conclude that our in-house developed Python script can extract plan data from TPS at a far higher speed (>6000 times) and with the best possible accuracy compared to manual data extraction. [ABSTRACT FROM AUTHOR]

Aims: The objective of this audit was to analyze the radiotherapy (RT) practice in a newly established tertiary private hospital. With increasing radiation oncology (RO) facilities in private sector, this report is the first audit from a private health organization in India.Subjects and Methods: The audit of all consecutively registered patients in RO has focused to extract data from the time of RT simulation planning till the completion of RT course. The patient and disease characteristics,RT-related treatment factors and compliance were analyzed in-depth.Results: In this newly established RO department, the vendor-supplied equipment, e.g., RT planning system, treatment delivery (linear accelerator and brachytherapy), and RO information system (ROIS), are integrated with enterprise-wide hospital information system into unified paperless workflow management for the patient care records in a prospective manner. This analysis comprised consecutive 328 patients who consented for RT simulation and planning from April 20, 2018, to December 31, 2019. RT course compliance was 94.8% (311/328 patients), and treatment intent-wise: curative plus adjuvant in 60.2% and palliative RT in 36%. RT technique was conformal in all 100%, with volumetric arc radiotherapy (VMAT) delivered to 66.6% of patients. With overall median RT course duration of 29 days (range 1-81 days), the patients were delivered a median of 20 fractions.Conclusions: Compared to the previously published audit from an academic RO department in Delhi, this audit from a private hospital has shown (i) lesser waiting time, (ii) improved treatment compliance, (iii) utilization of higher techniques, and (iv) a lower duration of RT course. [ABSTRACT FROM AUTHOR]

Background: Medulloblastoma is the commonest embryonal brain tumor in children. It has shown improved outcomes with combined modality treatment. We aimed to study patient characteristics and survival outcomes of patients with this disease across two tertiary care centers in India. Methods: We analyzed data of patients with histological diagnosis of medulloblastoma treated from January 2010 to January 2016. Patient characteristics and follow‑up data were retrieved from hospital records. Descriptive statistics were used to describe clinical and pathological characteristics. Overall survival (OS) was calculated from date of diagnosis to death due to any cause. Relapse-free survival (RFS) was calculated from date of diagnosis to occurrence of relapse or death. Result: Out of 26 patients treated, 24 were children and 2 were adults. Median age was 10 years (range = 0.8–22 years). Twenty (76.9%) patients were male. Fifteen (57.7%) patients were stratified as high-risk (HR), rest 11 (42.3%) were categorized as average risk (AR). Histopathology showed classical variety in majority of patients except for 4 (15%) cases, 3 with desmoplastic and 1 with anaplastic subtype. Median follow‑up was 49.7 months (range= 4.2–102.5 months). Overall, eight (30.8%) patients relapsed and six (23%) deaths occurred. Five (33.3%) patients in HR category and 3 (27.3%) patients in AR group showed relapse. Median RFS and OS were not yet reached. Five‑year RFS was 69.2% whereas five‑year OS was 76.9%. Conclusion: This study highlighted patient characteristics and treatment outcomes in Indian patients. With adherence to standard treatment, high remission rates and improvement in mortality rates were achieved. [ABSTRACT FROM AUTHOR]

Lung cancer is reported as the leading cause of cancer‑related mortality worldwide. Non‑small cell lung cancer (NSCLC) constitutes 80%–85% of all lung cancers. Diagnosis of NSCLC is a complex multistep process. The prognosis of NSCLC is poor as most of the patients are presented at the metastatic stage. The management of these patients needs the expertise of different specialists. A multidisciplinary team (MDT) comprising specialists from different disciplines has a substantial role in improving outcomes in these patients. This is feasible through extensive discussions, accurate evaluation of patients, reviewing medical records, implementing ideal treatment strategies, and merging local treatments with systemic treatment concepts. Therefore, the MDT approach for stage III NSCLC management can enable early treatment initiation, optimal treatment modalities, and reduce healthcare expenditure. Studies have shown that MDT can provide multimodality care facilitating the diagnosis and treatment of stage III NSCLC, resulting in survival benefit of these patients. Thus, it is imperative to collate scientific evidence to get an insight into the MDT approach in advanced NSCLC treatment. This review aims to summarize the impact of MDT on treatment rates, survival outcome, treatment guideline adherence, and quality of life (QoL) of stage III NSCLC patients. [ABSTRACT FROM AUTHOR]

Purpose: Radiation dermatitis is most common and debilitating side effects of radiotherapy leading to treatment interruption, thereby compromising the local control, and effecting quality of life. With the invent of modern imaging and recent advances in megavoltage radiotherapy, radiation-related side effects have reduced. In this audit, we report the risk factors associated with Grade III dermatitis in modern centers.Materials and Methods: We analyzed 172 patients treated with volume modulated arc therapy (VMAT) and static field intensity-modulated radiotherapy (SFIMRT) at our center. All head and neck, breast, gynecological, GU malignancies, and sarcoma patients treated with a dose of >45 Gy from April 2018 to December 2019 were included in the study. On couch, treatment verification was done with cone-beam computer tomography (CBCT). Slice-by-slice verification of planning target volume (PTV) with CBCT was done in the first three fractions and weekly thereafter. Skin evaluation was done using CTCAE v. 5. Statistical analysis was done using SPSS v. 22.Results: Of the 172 patients treated with VMAT and SFIMRT, 15 patients (8.7%) had Grade III dermatitis. Grade III dermatitis was mostly seen in breast cancer followed by head-and-neck patients. More reactions were observed in patients with advanced stage disease. Treatment verification is important at the later course of treatment, especially in head-and-neck cases where the treatment volume is large and PTV may extend outside skin. Contributing factors of radiation dermatitis at modern radiotherapy center are gene mutation, use of concurrent chemoradiotherapy, and bolus.Conclusion: We hereby conclude that PTV mismatch in weekly treatment verification, genetic mutations, concurrent chemo-radiotherapy, use of thermoplastic mask, and bolus are the contributing factors for Grade III dermatitis in modern radiotherapy centers. [ABSTRACT FROM AUTHOR]

Aim: This study aimed to evaluate the compatibility of robotic couch‐assisted six‐dimensional (6D) patient positioning systems with gantry‐mounted and in‐room independent imaging modalities in two different accelerators. Materials and Methods: Imaging and 6D patient setup workflow were evaluated for both machines. The imaging workflow consists of onboard (OBI) cone beam computed tomography (CBCT) imaging and in‐room ExacTrac imaging to evaluate setup errors. Setup images were acquired using CBCT, and positional corrections were performed using a 6D robotic couch. Further compatibility of CBCT and ExacTrac was evaluated for both coplanar and noncoplanar beam geometries. Result: Varian 6D couch, PerfectPitch, comprises three translational axes (x, y, z): the table column's rotational axis (yaw) and the two additional axes of rotation (pitch and roll) that are affected by the couch's bellows. In this approach, after accounting for 6D shifts, the couch remains physically rotated about its rotational axis (yaw:zROT ≠ 0°). This residual error in yaw rotation was counted in subsequent noncoplanar beam geometries. If the initial yaw couch error was −5.8°, after applying this error a beam planned at 30° couch rotation will appear as 24.2° (= 30°–5.8°) for both CBCT and ExacTrac images. In Elekta's HexaPOD six degrees of freedom (DoF) couch, the column rotational axis is not counted as one of the six DoF. Instead, HexaPOD's bellows can effectively execute all three rotations, and the 3D couch movements that correct setup errors are limited only to the translational axes. A noncoplanar beam planned at a couch rotation of 30° appeared at 30° after patient positional correction. Conclusion: Varian 6D robotic couch solutions are only partially compatible with independent in‐room imaging systems. [ABSTRACT FROM AUTHOR]

Context: This research describe the characteristic volume expansion of a moving target as a function of differential margins. Aim: We aimed to ascertain the volume change after giving margin for clinical and set up uncertainties including generating internal target volume (ITV) for moving target. Materials and Methods: Settings and Design – Spheres of diameter (0.5–10 cm) with differential expansion of 1–15 mm were generated using a mathematical formula. Moving targets of radius 1–5 cm were generated, and the resultant volume envelopes with incremental motion from 1 to 20 mm were obtained. All relative volume change results were fitted with mathematical functions to obtain a generalized mathematical formula. Statistical Analysis Used: None. Results: The percentage increase in volume (%ΔVp) was much more pronounced for smaller radius target. For moving target with relatively smaller radius, %ΔVp is predominant over the absolute volume change and vice versa in case of larger radius. Mathematical formulae were obtained for %ΔVp as a function of radius and expansion and for %ΔVp in ITV volume as a function of radius and tumor movement. Conclusions: This study provides an idea of volume change for various expansions for various size targets and/or moving target for different range of movements. It establishes a correlation of these volume changes with the changing target size and range of movements. Finally, a clinically useful mathematical formulation on volume expansion has been developed for rapid understanding of the consequence of volume expansion. [ABSTRACT FROM AUTHOR]

Objective: Accurate calculation of set-up margin is a prerequisite to arrive at the most optimal clinical to planning target volume margin. The aim of this study was to evaluate the compatibility of different on-board and in-room stereoscopic imaging modalities by calculating the set-up margins (SM) in stereotactic body radiotherapy technique accounting and unaccounting for rotational positional errors (PE). Further, we calculated separate SMs one based on residual positional errors and another based on residual + intrafraction positional errors from the imaging data obtained in a dual imaging environment. Materials and methods: A total of 22 lung cancer patients were included in this study. For primary image guidance, four-dimensional cone beam computed tomography (4-D CBCT) was used and stereoscopic ExacTrac was used as the auxiliary imaging. Following table position correction (TPC) based on the initial 4-D CBCT, another 4-D CBCT (post-TPC) and a pair of stereoscopic ExacTrac images were obtained. Further, during the treatment delivery, a series of ExacTrac images were acquired to identify the intrafraction PE. If a, b and c were the observed translational shifts in lateral (x-axis), longitudinal (y-axis) and vertical direction (z-axis) and α, β and γ were the rotational shifts in radians about the same axes, respectively, then the resultant translational vectors (A, B and C) were calculated on the basis of translational and rotational values. Set-up margins were calculated using residual errors post-TPC only and also using intrafraction positional errors in addition to the residual errors. Results: Residual and residual + intrafraction SM were calculated from a dataset of 82 CBCTs and 189 ExacTrac imaging sessions. CBCT-based mean ± SD shifts in translational and rotational directions were 0.3 ± 1.8 mm, 0.1 ± 1.8 mm, − 0.4 ± 1.6 mm, 0.1 ± 0.4°, 0.0 ± 1.0° and 0.3 ± 0.7°, respectively, and for ExacTrac − 0.1 ± 1.8 mm, 0.2 ± 2.4 mm, − 0.6 ± 1.8 mm, 0.1 ± 1.2°, − 0.2 ± 1.3° and − 0.1 ± 0.6°, respectively. Residual SM without considering the rotational correction in x, y and z directions were 5.0 mm, 4.5 mm and 4.4 mm; rotation-corrected SM were 4.4 mm, 4.0 mm and 5.5 mm, respectively. Residual plus intrafraction SM were 5.5 mm, 6.6 mm and 6.2 mm without considering the rotational corrections, whereas they were 5.0 mm, 6.3 mm and 6.2 mm with rotational errors accounted for. Conclusion: Accurate calculation of set-up margin is required to find the clinical to planning target volume margin. Primary and auxiliary imaging margins fall in the range of 4.0 to 5.5 mm and 5.0 to 7.0 mm, respectively, indicating a higher SM for X-ray-based planar imaging techniques over three-dimensional cone beam images. This study established the degree of mutual compatibility between two different kinds of widely used set-up imaging modalities, on-board CBCT and in-room stereoscopic imaging ExacTrac. It also describes the technique to calculate the residual and residual plus intrafraction SM and its variation in a dual imaging environment accounting for rotational PE in stereotactic body radiotherapy of lung. [ABSTRACT FROM AUTHOR]

Purpose: We present our data for every single fraction for every patient treated at our center for the past 4 years, analyzing the waiting and treatment times.Materials and Methods: Between January 2014 and February 2018, all patients and their corresponding recorded measurements of waiting time and machine treatment time were analyzed. Times recorded included actual arrival time, designated arrival time, linac entry time, and last beam treatment time. The complete waiting time information was divided into two categories (1) first day treatments and (2) subsequent day treatments. SPSS version 18 was used for statistical calculations, correlations, and assessing significance.Results: First day treatments - of 1982 patients following treatments were carried out; 1557 volumetric-modulated arc therapy (78.6%), 88 three-dimensional conformal radiotherapy (RT) (4.4%), 14 electron (0.7%), 10 intensity-modulated RT (0.5%), 264 stereotactic irradiation (13.3%), 17 stereotactic body RT (0.7%), and 32 total body irradiation (1.6%). The mean (± standard deviation) times for early/late time, total spent time (TST), wait time gross (WTG), and wait time net (WTN) were 11.0 ± 49.6 min, 74.7 ± 44.8 min, 47.46 ± 43.9 min, and 24.1 ± 44.4 min, respectively. Subsequent day treatments - a total of 34,438 sessions of treatment delivery were recorded. Overall average WTG was 37.4 ± 32.7 min. Overall WTN was 12.1 ± 62.7 min. Overall mean total spent time (TST) was 52.4 ± 33.0 min, overall mean setup and treatment time was 15.1 ± 10.9 min.Conclusion: We have presented our results of patient-related times during RT. Our study covers the daily waiting times before RT as well as the actual treatment times during modern-day RT. This consecutive patient data from a large series shall be an important resource tool for future planners and policymakers. [ABSTRACT FROM AUTHOR]

Psychological distress is often an under-diagnosed problem in cancer care. Addressing psychosocial issues would enhance treatment compliance, physician-patient relationship, treatment efficacy and quality of life. This article emphasizes the importance of integrating psycho-oncology services in cancer care and attempts to define the various roles that a psycho-oncologist can play across the entire trajectory. It also highlights the indispensable role played by the oncologists' referrals in maximizing the benefits of psycho-oncology services received by patients and their caregivers. [ABSTRACT FROM AUTHOR]

Collusion is an unharmonious bond between the doctor and a patient or between patients and caregivers. This case report exemplifies one such experience and highlights the hurdles we face when dealing with collusion. A 31-year-old woman was diagnosed with rectal carcinoma during her pregnancy and underwent diversion colostomy (for intestinal obstruction) followed by neoadjuvant chemoradiation after delivery. Later, she was diagnosed with metastatic disease and was under palliative care. The family always had a negative association with cancer and chose to withhold information from the patient throughout the treatment trajectory. Collusion and lack of information can be a factor for persisting total pain. While caregivers desire to protect the patient from the distress of a life-limiting diagnosis, invariably it causes more anguish than comfort. Oncology professionals need to consider collusion as part of our sociocultural fabric and develop a strategy to negotiate and improve the care. [ABSTRACT FROM AUTHOR]

Purpose: T1-contrast and T2-flair images of magnetic resonance imaging (MRI) are commonly fused with computed tomography (CT) and used for delineation of postoperative residual tumor and bed after surgery in patients with glioblastoma multiforme (GBM). Our prospective study was aimed to see the feasibility of incorporating perfusion MRI in delineation of brain tumor for radiotherapy planning and its implication on treatment volumes. Methods: Twenty-four patients with histopathologically proven GBM were included in the study. All patients underwent radiotherapy planning with a contrast CT scan. In addition to radiotherapy (RT) planning protocol, T1-perfusion MRI was also done in all patients in the same sitting. Perfusion imaging was processed on the in-house-developed JAVA-based software. The images of CT and MRI were sent to the iPlan planning system (Brainlab AG, GmbH) using a Digital Imaging and Communications in Medicine - Radiation Therapy (DICOM-RT) protocol. A structure of gross tumor volume (GTV)-perfusion (GTV-P) was delineated based only on the MRI perfusion images. Subsequently, GTV-P and GTV were fused together to make GTV-summated (GTV-S). Using existing guidelines, GTV-S was expanded to form clinical target volume-summated (CTV-S) and planning target volume-summated (PTV-S). The increment in each of the summated volumes as compared to baseline volume was noted. The common overlap volume (GTVO) between GTV and GTV-P was calculated using intersection theory (GTV n GTV-P = GTVO [Overlap]). Results: Mean ± standard deviation (cc) for GTV, GTV-P, and GTVO was 46.3 ± 33.4 cc (range: 5.2 cc–108.0 cc), 26.0 ± 26.2 (range: 6.6 cc–10.3.0 cc), and 17.5 ± 22.3 cc (range: 10.0 cc–92 cc), respectively. Median volume (cc) for GTV, GTV-P, and GTVO was 40.8 cc, 17.2 cc, and 8.0 cc, respectively. Mean absolute and relative increments from GTV to that of GTV-S were 8.5 ± 8.2 cc and 27.2 ± 30.9%, respectively. Average CTV volume (cc) was 230.4 ± 115.3 (range: 80.8 cc–442.0 cc). Mean and median CTV-S volumes were 262.0 ± 126.3 cc (range: 80.8 cc–483.0 cc) and 221.0 cc, respectively. The increment in the mean CTV volume (with respect to CTV created from GTV-S) was 15.2 ± 15.9%. Mean and median PTV volumes created on the summated CTV were 287.1 ± 134.0 cc (range: 118.9 cc–576.0 cc) and 258.0 cc, respectively. Absolute and relative increments in PTV volume, while incorporating the perfusion volume, were 31.3 ± 28.9 cc and 12.5 ± 13.3%, respectively. Out of the total of 24 patients, perfusion scanning did not do any increment in GTV in five patients. Conclusions: Our study is the first to present the feasibility and the outcome of contouring on perfusion imaging and its overlay on regular MRI images. The implications of this on long-term outcome and control rates of glioblastoma patients need to be seen in future studies. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study is to calculate setup margin based on six‐dimensional (6D) corrected residual positional errors from kV cone beam computed tomography (CBCT) and from intrafraction projection kV imaging in coplanar and in noncoplanar couch positions in stereotactic radiotherapy. Methods: Six dimensional positional corrections were carried out before patient treatments, using a robotic couch and CBCT matching. A CBCT and stereoscopic ExacTrac image were acquired post‐table position correction. Further, a series of intrafraction ExacTrac images were obtained for the variable couch position. Translational and rotational errors were identified as lateral (X), longitudinal (Y), vertical (Z); roll (Ɵ°), pitch (Φ°) and yaw (Ψ°). A total of 699 intrafraction image sets (361 coplanar and 338 noncoplanar) for 51 SRS/SRT patients were analysed. Rotational errors were corrected in terms of translational coordinates. Residual set‐up margins were calculated from CBCT shifts. ExacTrac shifts give residual + intrafraction setup margins as a function of coplanar and noncoplanar couch positions. Results: The average residual positional error obtained from CBCT in X, Y, Z, Ɵ, Φ, Ψ were 0.1 ± 0.4 mm, 0.0 ± 0.6 mm, 0.0 ± 0.5 mm, 0.2 ± 0.8°, 0.1 ± 0.6° and −0.1 ± 0.7° respectively. For ExacTrac, the shits were −0.5 ± 0.9 mm, −0.0 ± 1mm, −0.6 ± 1.0mm, 0.4 ± 0.9°, −0.2 ± 0.6°, and −0.0 ± 0.8°. CBCT calculated linear setup margins in X, Y, Z direction were 0.5, 1.2, and 1 mm respectively. ExacTrac yielded coplanar and noncoplanar linear setup margins were 1.2, 1.3, 1.5, 1.4, 1.5, and 2.1 mm respectively. Conclusion: CBCT‐based gross residual set‐up margin is equal to 1 mm. ExacTrac calculated residual plus intrafraction setup margin falls within a 2 mm range; attributed to intrafraction patient movement, table position inaccuracies, and poor image fusion in noncoplanar geometry. There could be variations in the required additional margin between centers and between machines, which require further studies. [ABSTRACT FROM AUTHOR]

The history and current status of a biomedical discipline in a country or region provide important health system indicators. During the last one hundred years, radiotherapy has established its position as a vital specialty in cancer management. It has proved to be one of the most cost effective ways of treating cancer providing both radical and palliative treatments depending on patient stage and performance status. However, access to radiotherapy for cancer patients in India is limited by several factors including physical proximity of centre, cost and availability of required technology. This article gives an outline of the history, existing radiotherapy facilities and future trends related to radiotherapy practice in India. [ABSTRACT FROM AUTHOR]

Purpose: The concept of 4πc radiotherapy is a radiotherapy planning technique receiving much attention in recent times. The aim of this article is to disprove the feasibility of the 4π radiotherapy using a cantilever-type linear accelerator or any other external-beam delivery machines. Materials and Methods: A surface integral-based mathematical derivation for the maximum achievable solid angle for a linear accelerator was carried out respecting the rotational boundary conditions for gantry and couch in three-dimensional Euclidean space. The allowed... the foot and brain radiotherapy where the allowed table rotation is 90°-0°-270°. For other sites such as pelvis, thorax, or abdomen, achievable solid angle as the couch rotation comes down significantly. Practically, only suitable couch angle is 0° by avoiding gantry-couch-patient collision. Conclusions: Present cantilever design of linear accelerator prevents achieving a 4π radian solid angle at any point in the patient. Even the most modern therapy machines like CyberKnife which has a robotic arm also cannot achieve 4π geometry. Maximum achievable solid angle under the highest allowable boundary condition(s) cannot exceed 2πc, which is restricted for only extremities such as foot and brain radiotherapy. For other parts of the body such as pelvis, thorax, and abdomen, the solid angle is reduced to 1/5th (maximum value) of the 4πc. To obtain a 4πc solid angle in a three-dimensional Euclidean space, the patient has to be a zero-dimensional point and X-ray head of the linear accelerator has a freedom to rotate in every point of a hypothetical sphere of radius 1 m. This article establishes geometrically why it is not possible to achieve a 4πc solid angle. [ABSTRACT FROM AUTHOR]

Purpose: Aim of this article is to describe a new knowledge‐based planning (KBP) methodology using volumetric modulated arc therapy (VMAT) for stereotactic radiosurgery (SRS) and radiotherapy (SRT) assisted by an ensemble mapping technique for use in a Monte Carlo planning system. Methods: Libraries of 121 stereotactic patients were assembled on the basis of eight different parameters (a) tumor laterality, (b) whether planning target volume (PTV) dose coverage challenged by the presence of the organ at risk (OAR), (c) prescription dose and number of fractions, (d) number of PTVs, (e) tumor volume, (f) shortest distance between OAR and PTV (edge to edge distance, or EED), (g) center to center distance between OARs and PTV (CCD), and (h) lateral dimension of external contour (brain). For new patients, the most appropriate library plan was selected on the basis of the above categorization. A KBP plan was created based on this selected library plan with all parameters unchanged keeping the isocenter at the center of PTV. Using the same beam configuration, another independent treatment plan (IP) was generated by an experienced dosimetrist for comparison. IP and KBP were compared for 76 new patients. Results: Of 197 patients (121 library and 76 new), 103 (52.3%) were placed in the OAR‐challenged category and 94 were placed in the OAR unchallenged category. The ensemble mapping technique shows that, for an OAR‐challenged patient, picking up the library plan is appropriate. IP was marginally better than KBP in PTV coverage and dose conformity (PCI). Library plans, IP, and KBP offer a mean PCI of 0.77 ± 0.2, 0.79 ± 0.2, and 0.78 ± 0.4, mean PTV‐V99% of 97.3 ± 22.0%, 98.9 ± 14.1%, and 98.2 ± 13.2%, and mean MU of 2403.8 ± 2403.8, 2344.0 ± 2423.6, and 2473.6 ± 2296.8, respectively. Statistically significant differences were observed in the planning time between the IP and KBP plans for both OAR‐challenged (P < 0.001) and ‐unchallenged (P < 0.002) categories. Comparison of optimization and dose calculation time showed a much lower average planning time of 111.0 ± 84.1 min for KBP as against 248.2 ± 96.6 min for IP. Conclusion: Validation results for KBP plans indicate the multidimensional ensemble mapping mechanism can accurately pick up the most appropriate library plan. KBP plans, although slightly inferior in their dosimetric quality, fulfill all the required clinical conditions and dose constraints. KBP plans save considerable planning time and are nearly independent of the skill and knowledge of the treatment planner. KBP works well with a Monte Carlo planning system like Monaco. [ABSTRACT FROM AUTHOR]

This article briefly describes the present status of the social media platform by radiation oncology societies and radiation oncology community. Potential of social media platforms for the propagation of scientific information is fairly underutilized by the individual and scientific societies. Radiation oncology societies have a moderate presence in the social media platforms with a focus on their social activities like meeting, schools etc. Nevertheless, these social activities have very limited yield and only confined within the society members or country. Posting of scientific information by the radiation oncology societies in the social media platform is as low as the order of 10% of their total contribution. However, the potential of social media platforms can be effectively utilized to propagate the scientific information to the scientific community. This article analyses the use of social media by radiation oncology associations. And few thoughts about how social media platforms can be effectively utilized for propagating scientific information. [ABSTRACT FROM AUTHOR]

Objectives: Radiotherapy for breast cancer has been associated with various side effects including cardiac sequelae. Our study aimed to define the spatial arc of spread of coronary vessels in a radian angle.Materials and Methods: We analysed the records of 51 CT coronary angiographies done in our hospital from January 2016 to July 2016. Left anterior descending (LAD) and right coronary (RC) were contoured for each patient. In each axial section, the radial spread of each artery was noted. A 5 mm brush tool was used to join the start and stop angles for making the summated "coronary strips".Results: Start and end angle of LAD with 95% confidence interval (CI) (in clockwise direction) were 23.9 ± 4° and 79.0 ± 6.6°, respectively. Mean LAD arc length ± SD (standard deviation) noted was 55.1° ± 7.7° (95% CI). For RC the smallest start angle and the largest end angle in all patients was 297.6° and 322.6°, respectively. RC start angle, end angle and arc length for 95% confidence interval were 322.2 ± 6.1°, 292.4 ± 11.6° and 29.8 ± 13.1°, respectively.Conclusions: Our study provides a measure of the radial spread of the coronary arteries, especially from the perspective of breast radiotherapy. We have proposed a new organ at risk (OAR) of coronary strip. This should provide an easy and cost-effective way to delineate the coronary vasculature in breast cancer patients undergoing radiotherapy. [ABSTRACT FROM AUTHOR]

On March 11, 2020, WHO declared COVID-19 as a global pandemic. Ever since then, there has be a second pandemic, one of the cancellation and postponement of medical conferences and events.[[2]] Innovation followed as well. One of the exciting events in the professional life of an oncologist is attending a scientific medical conference. [Extracted from the article]

Volumetric modulated arc therapy (VMAT) is modern rotational intensity modulated therapy used for treatment of several sites. The study aimed to analyze partial tangential arc VMAT treatment planning and delivery, including analyzing the cardiac and contralateral breast doses resulting from this technique. A total of 153 consecutively treated breast cancer (conservation as well as mastectomy) patients were taken for this dosimetric study. All patients were planned using partial arc VMAT in the Monaco treatment planning system using two partial arc beams. All patients were divided into seven different categories: (1) all the patients in the study, (2) left sided whole breast and chest wall patients, (3) left Chest wall patients, (4) left whole breast patients, (5) right sided whole breast and chest wall patients, (6) right chest wall patients, and (7) right whole breast patients. We evaluated each treatment plan for PTV coverage and doses to OARs. SPSS version 16.0 software was used for statistical analysis. There were 91 left sided and 62 right sided breast cancer patients in the overall analysis. The percentage of PTV volume receiving 95% of the prescription dose (PTV V95%, mean ± SD) varied in the range of 91.2 ± 5.2-94.8 ± 2.1% with mean dose of 92.4 ± 5.2% for all cases. The (mean ± SD) cardiac dose for all the patients was 289 ± 23 cGy. The (mean ± SD) cardiac doses were higher for left sided patients (424 ± 33.8 cGy) as compared to right sided patients (123.9 ± 80 cGy) (p < 0.001). Cardiac mean doses were higher with arc angles >30° versus 30° (324.5 ± 247.1 vs. 234.4 ± 188.4 cGy) (p = 0.001). Similarly contralateral breast mean dose was higher with arc angles >30° versus 30° (126 ± 115 vs. 88.6 ± 76.1 cGy) (p = 0.001). However cardiac V20, V30 and V40 Gy did not exhibit any statistical difference between the two groups (p = 0.26, 0.057 and 0.054 respectively). This is the first large study of its kind that assesses the dosimetric outcome of tangential partial arc VMAT treatments in a large group of mastectomy and breast conservation patients. Our study demonstrates the efficacy of this technique in dose coverage of PTV as well as in minimizing dose to OARs. Further, based on our results, we conclude that the arc length for the bi-tangential arcs should be 30° since it helps to achieve the most optimal balance between target coverage and acceptable OAR doses. [ABSTRACT FROM AUTHOR]

Purpose: Obtain baseline data of cell-phone usage in the medical (MO), surgical (SO) and radiation (RO) oncology community practicing in India.Materials and Methods: Indigenously prepared cell-phone usage related questionnaire was used in the present study after approval by the Institutional Ethics/Scientific Committees. The questionnaire had 41 items and was made to assess the cell-phone usage parameters, utility in clinical practice, awareness, and to compare parameters between oncology specialties. Between November 2009 and January 2010, the questionnaire was sent as an E-mail attachment to 200 oncologists in India.Results: In all, 123 responses were received (61% responders); 84 (68.3%) were RO. The median age of responders was 35 years. Overall, 80% felt handicapped without cell-phone. The Mean cell-phone score, an index to assess overall usefulness over a score of 1-10, was 6.46 (median 7, standard deviation 1.709). There was no significant difference between RO, MO and SO in duration of usage (P = 0.235), number of cell-phones (P = 0.496), call duration per day (P = 0.490) and dependence on cell-phone (P = 0.574). Age of starting cell-phone usage was earlier in RO (P = 0.086). Professional usage was significantly more by MO and SO compared to RO (P < 0.001); however, the former were less aware of any potential cell-phone hazards compared to RO (P < 0.007).Conclusion: The results of the first such questionnaire based study have been presented. Most oncologists consider cell-phones a useful tool in patient care. More RO are aware of potential cell-phone hazards compared to non-RO's. [ABSTRACT FROM AUTHOR]

The UK Standardisation of breast radiotherapy (START) trials of radiotherapy hypofractionation for treatment of early breast cancer: 10-year follow-up results of two randomised controlled trials. Hypofractionated versus conventional fractionated postmastectomy radiotherapy for patients with high-risk breast cancer: A randomised, noninferiority, open-label, phase 3 trial. Sir, The recent article of "FAST-Forward" in breast cancer has aroused significant interest.[[1]] Brunt et al. report that, for early-stage breast cancer, a dose of 26 Gy in five fractions over 1 week for breast radiotherapy is noninferior to the existing standard of 40 Gy in 15 fractions over 3 weeks for local tumor control and is safe in terms of normal tissue effects up to 5 years. [Extracted from the article]

Purpose: The use of positron emission tomography (PET) for radiotherapy planning purposes has become increasingly important in the last few years.In the current study, we compared the SUV values of images at the PET CT console to the SUV values obtained at the RT planning workstation. Materials and Methods: The PET-CT cylindrical body phantom was filled with a uniform 18F solution of 5.3. ± 0.27 kBq/mL radioactivity concentration. PET-CT scans were performed on a16 slice Time of Flight system. On a single day, the three consecutive scans were done at three time points 15 minutes apart to generate time points image data sets titled T1, T2, and T3. SUV calculations were performed by drawing region of interest. (ROI) encompassing the entire hot spot on each slice on the PET-CT console and the iPlan workstation. Minimum SUV, Maximum SUV and the Mean SUV were recorded. Statistical analysis was done using the SPSS software. (SPSS Inc.) (Version 18). Results: The absolute difference in average max SUV values i.e. Max (PET-CT) - Max (iPlan) for the time points T1, T2 and T3 were -0.168 (SD 0.175), -0.172 (SD 0.172) and -0.178 (SD 0.169). The difference in the minimum SUV values were -0.513 (SD 0.428), -0.311 (SD 0.358) and -0.303 (SD 0.322), respectively. Finally, the difference in the mean SUV values were -0.107 (SD 0.040), -0.096 (SD 0.067) and -0.072 (SD 0.044), respectively. Conclusions: Our study found out that the average difference in the two systems for maximum SUV values was < 0.2 absolute units.Our study suggests good reproducibility of SUV between the two systems. The relevance of these findings would be of seminal importance in current and future SUV-based PET-CT-based contouring in treatment planning systems. [ABSTRACT FROM AUTHOR]