Radiation therapy with phenotypic medicine: towards N-of-1 personalization.

In current clinical practice, radiotherapy (RT) is prescribed as a pre-determined total dose divided over daily doses (fractions) given over several weeks. The treatment response is typically assessed months after the end of RT. However, the conventional one-dose-fits-all strategy may not achieve the desired outcome, owing to patient and tumor heterogeneity. Therefore, a treatment strategy that allows for RT dose personalization based on each individual response is preferred. Multiple strategies have been adopted to address this challenge. As an alternative to current known strategies, artificial intelligence (AI)-derived mechanism-independent small data phenotypic medicine (PM) platforms may be utilized for N-of-1 RT personalization. Unlike existing big data approaches, PM does not engage in model refining, training, and validation, and guides treatment by utilizing prospectively collected patient's own small datasets. With PM, clinicians may guide patients' RT dose recommendations using their responses in real-time and potentially avoid over-treatment in good responders and under-treatment in poor responders. In this paper, we discuss the potential of engaging PM to guide clinicians on upfront dose selections and ongoing adaptations during RT, as well as considerations and limitations for implementation. For practicing oncologists, clinical trialists, and researchers, PM can either be implemented as a standalone strategy or in complement with other existing RT personalizations. In addition, PM can either be used for monotherapeutic RT personalization, or in combination with other therapeutics (e.g. chemotherapy, targeted therapy). The potential of N-of-1 RT personalization with drugs will also be presented.

A Wnt-mediated phenotype switch along the epithelial-mesenchymal axis defines resistance and invasion downstream of ionising radiation in oral squamous cell carcinoma.

BACKGROUND: Dynamic transitions of tumour cells along the epithelial-mesenchymal axis are important in tumorigenesis, metastasis and therapy resistance. METHODS: In this study, we have used cell lines, 3D spheroids and tumour samples in a variety of cell biological and transcriptome analyses to highlight the cellular and molecular dynamics of OSCC response to ionising radiation. RESULTS: Our study demonstrates a prominent hybrid epithelial-mesenchymal state in oral squamous cell carcinoma cells and tumour samples. We have further identified a key role for levels of E-cadherin in stratifying the hybrid cells to compartments with varying levels of radiation response and radiation-induced epithelial-mesenchymal transition. The response to radiation further entailed the generation of a new cell population with low expression levels of E-cadherin, and positive for Vimentin (ECADLow/Neg-VIMPos), a phenotypic signature that showed an enhanced capacity for radiation resistance and invasion. At the molecular level, transcriptome analysis of spheroids in response to radiation showed an initial burst of misregulation within the first 30 min that further declined, although still highlighting key alterations in gene signatures. Among others, pathway analysis showed an over-representation for the Wnt signalling pathway that was further confirmed to be functionally involved in the generation of ECADLow/Neg-VIMPos population, acting upstream of radiation resistance and tumour cell invasion. CONCLUSION: This study highlights the functional significance and complexity of tumour cell remodelling in response to ionising radiation with links to resistance and invasive capacity. An area of less focus in conventional radiotherapy, with the potential to improve treatment outcomes and relapse-free survival.

Personal innovative approach in radiation therapy of lung cancer- functional lung avoidance SPECT-guided (ASPECT) radiation therapy: a study protocol for phase II randomised double-blind clinical trial.

BACKGROUND: Radiation therapy (RT) plays a key role in curative-intent treatment for locally advanced lung cancer. Radiation induced pulmonary toxicity can be significant for some patients and becomes a limiting factor for radiation dose, suitability for treatment, as well as post treatment quality of life and suitability for the newly introduced adjuvant immunotherapy. Modern RT techniques aim to minimise the radiation dose to the lungs, without accounting for regional distribution of lung function. Many lung cancer patients have significant regional differences in pulmonary function due to smoking and chronic lung co-morbidity. Even though reduction of dose to functional lung has shown to be feasible, the method of preferential functional lung avoidance has not been investigated in a randomised clinical trial. METHODS: In this study, single photon emission computed tomography (SPECT/CT) imaging technique is used for functional lung definition, in conjunction with advanced radiation dose delivery method in randomised, double-blind trial. The study aims to assess the impact of functional lung avoidance technique on pulmonary toxicity and quality of life in patients receiving chemo-RT for lung cancer. Eligibility criteria are biopsy verified lung cancer, scheduled to receive (chemo)-RT with curative intent. Every patient will undergo a pre-treatment perfusion SPECT/CT to identify functional lung. At radiation dose planning, two plans will be produced for all patients on trial. Standard reference plan, without the use of SPECT imaging data, and functional avoidance plan, will be optimised to reduce the dose to functional lung within the predefined constraints. Both plans will be clinically approved. Patients will then be randomised in a 2:1 ratio to be treated according to either the functional avoidance or the standard plan. This study aims to accrue a total of 200 patients within 3 years. The primary endpoint is symptomatic radiation-induced lung toxicity, measured serially 1-12 months after RT. Secondary endpoints include: a quality of life and patient reported lung symptoms assessment, overall survival, progression-free survival, and loco-regional disease control. DISCUSSION: ASPECT trial will investigate functional avoidance method of radiation delivery in clinical practice, and will establish toxicity outcomes for patients with lung cancer undergoing curative chemo-RT. TRIAL REGISTRATION: Clinicaltrials.gov Identifier: NCT04676828 . Registered 1 December 2020.

Targeting Glucose Metabolism of Cancer Cells with Dichloroacetate to Radiosensitize High-Grade Gliomas.

As the cornerstone of high-grade glioma (HGG) treatment, radiotherapy temporarily controls tumor cells via inducing oxidative stress and subsequent DNA breaks. However, almost all HGGs recur within months. Therefore, it is important to understand the underlying mechanisms of radioresistance, so that novel strategies can be developed to improve the effectiveness of radiotherapy. While currently poorly understood, radioresistance appears to be predominantly driven by altered metabolism and hypoxia. Glucose is a central macronutrient, and its metabolism is rewired in HGG cells, increasing glycolytic flux to produce energy and essential metabolic intermediates, known as the Warburg effect. This altered metabolism in HGG cells not only supports cell proliferation and invasiveness, but it also contributes significantly to radioresistance. Several metabolic drugs have been used as a novel approach to improve the radiosensitivity of HGGs, including dichloroacetate (DCA), a small molecule used to treat children with congenital mitochondrial disorders. DCA reverses the Warburg effect by inhibiting pyruvate dehydrogenase kinases, which subsequently activates mitochondrial oxidative phosphorylation at the expense of glycolysis. This effect is thought to block the growth advantage of HGGs and improve the radiosensitivity of HGG cells. This review highlights the main features of altered glucose metabolism in HGG cells as a contributor to radioresistance and describes the mechanism of action of DCA. Furthermore, we will summarize recent advances in DCA's pre-clinical and clinical studies as a radiosensitizer and address how these scientific findings can be translated into clinical practice to improve the management of HGG patients.

Radiotherapy treatment for lung cancer: Current status and future directions.

Radiotherapy is an important modality used for the treatment of lung cancer. Seventy-seven percent of all patients with lung cancer have an evidence-based indication for radiotherapy, although it is often underutilized. Radiotherapy can be used as curative or palliative treatment across all stages of disease. Technological advances have allowed better radiotherapy targeting of tumours and reduced incidental irradiation of surrounding normal tissues. This has expanded the indications for radiotherapy in lung cancer and improved outcomes both in terms of increasing survival and reducing toxicity. This review examines the current role of radiotherapy in lung cancer, discusses the evidence behind this and identifies future directions in the radiotherapy treatment of lung cancer.

Site-Specific Response and Resistance Patterns in Patients with Advanced Non-Small-Cell Lung Cancer Treated with First-Line Systemic Therapy.

Patients with advanced NSCLC have heterogenous responses to immune checkpoint inhibitors (ICIs) with or without chemotherapy. In NSCLC, the impact of the distribution of metastatic sites and the response to systemic therapy combinations remain poorly understood. In a retrospective cohort study of patients with unresectable stage III/IV NSCLC who received first-line systemic therapy, we sought to assess the association between the site of metastases with patterns of response and progression. Data regarding demographics, tumour characteristics (including site, size, and volume of metastases), treatment, and outcomes were examined at two cancer care centres. The endpoints included organ site-specific response rate, objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). Two-hundred and eighty-five patients were included in the analysis. In a multivariate analysis, patients with bone metastases had a reduced ORR, PFS, and OS. Primary resistance was also more likely in patients with bone metastases. Patients with bone or liver metastases had a shorter OS when receiving ICIs with or without chemotherapy, but not with chemotherapy alone, suggesting an immunological basis for therapeutic resistance. A directed assessment of the tumour microenvironment in these locations and a deeper understanding of the drivers of organ-specific resistance to immunotherapy are critical to optimise novel combination therapies and sequencing in these patients.

Adapting to change: exploring perceptions and demands of the coronavirus (COVID-19) workforce changes - an Australian multi-institutional radiation oncology survey.

ObjectiveTo evaluate the perceptions of the coronavirus disease 2019 (COVID-19) initiated workplace strategies implemented in radiation oncology departments across Australia.MethodsA multidisciplinary team from Princess Alexandra Hospital developed a survey to address the impact of the pandemic strategies on areas such as patient care, staff education, well-being, flexible working arrangements, and research. The survey was conducted from November 2020 to April 2021.ResultsOut of 210 respondents from seven institutions, 45% reported burnout and 57% experienced work work-related stress. A significant majority of respondents were in favour of continued remote work (86%, 131/153). Radiation oncologists identified administrative or non-clinical work (92%, 34/37), telehealth clinics (32%, 12/37), or radiation therapy planning (22%, 8/37) as suitable for remote work. Additionally, 54% (21/39) of the radiation oncologists plan to use telehealth more frequently, with 67% (26/39) feeling more confident with the technology. The majority (81%, 171/210) of participants favoured continuation of hybrid in-person and virtual meetings. Virtual solutions were adopted for quality assurance activities (72%, 118/165) and 52% (60/116) indicated preference for ongoing utility of virtual platforms. However, 38% (79/210) of the respondents expressed concerns about the negative impact on junior staff training.ConclusionThese findings reveal a strong inclination towards technological advancements and remote work arrangements to enable flexible working conditions. Our study suggests the need for ongoing reforms, focusing on improving clinical service delivery efficiencies and enhancing job satisfaction among clinicians.

Radiation therapy for ventricular arrhythmias.

Ventricular arrhythmias (VA) can be life-threatening arrhythmias that result in significant morbidity and mortality. Catheter ablation (CA) is an invasive treatment modality that can be effective in the treatment of VA where medications fail. Recurrence occurs commonly following CA due to an inability to deliver lesions of adequate depth to cauterise the electrical circuits that drive VA or reach areas of scar responsible for VA. Stereotactic body radiotherapy is a non-invasive treatment modality that allows volumetric delivery of energy to treat circuits that cannot be reached by CA. It overcomes the weaknesses of CA and has been successfully utilised in small clinical trials to treat refractory VA. This article summarises the current evidence for this novel treatment modality and the steps that will be required to bring it to the forefront of VA treatment.

First-line chemoimmunotherapy and immunotherapy in patients with non-small cell lung cancer and brain metastases: a registry study.

Introduction: Brain metastases commonly occur in patients with non-small cell lung cancer (NSCLC). Standard first-line treatment for NSCLC, without an EGFR, ALK or ROS1 mutation, is either chemoimmunotherapy or anti-PD-1 monotherapy. Traditionally, patients with symptomatic or untreated brain metastases were excluded from the pivotal clinical trials that established first-line treatment recommendations. The intracranial effectiveness of these treatment protocols has only recently been elucidated in small-scale prospective trials. Methods: Patients with NSCLC and brain metastases, treated with first-line chemoimmunotherapy or anti-PD-1 monotherapy were selected from the Australian Registry and biObank of thoracic cancers (AURORA) clinical database covering seven institutions. The primary outcome was a composite time-to-event (TTE) outcome, including extracranial and intracranial progression, death, or need for local intracranial therapy, which served as a surrogate for disease progression. The secondary outcome included overall survival (OS), intracranial objective response rate (iORR) and objective response rate (ORR). Results: 116 patients were included. 63% received combination chemoimmunotherapy and 37% received anti-PD-1 monotherapy. 69% of patients received upfront local therapy either with surgery, radiotherapy or both. The median TTE was 7.1 months (95% CI 5 - 9) with extracranial progression being the most common progression event. Neither type of systemic therapy or upfront local therapy were predictive of TTE in a multivariate analysis. The median OS was 17 months (95% CI 13-27). Treatment with chemoimmunotherapy was predictive of longer OS in multivariate analysis (HR 0.35; 95% CI 0.14 - 0.86; p=0.01). The iORR was 46.6%. The iORR was higher in patients treated with chemoimmunotherapy compared to immunotherapy (58% versus 31%, p=0.01). The use of chemoimmunotherapy being predictive of iORR in a multivariate analysis (OR 2.88; 95% CI 1.68 - 9.98; p=0.04). Conclusion: The results of this study of real-world data demonstrate the promising intracranial efficacy of chemoimmunotherapy in the first-line setting, potentially surpassing that of immunotherapy alone. No demonstrable difference in survival or TTE was seen between receipt of upfront local therapy. Prospective studies are required to assist clinical decision making regarding optimal sequencing of local and systemic therapies.

The impact of breast cosmetic and functional outcomes on quality of life: long-term results from the St. George and Wollongong randomized breast boost trial.

The aims of this study were to evaluate the impact of cosmetic and functional outcomes after breast-conserving surgery (BCS) and radiation on quality of life (QOL). In this exploratory analysis; baseline, 5 and 10 years data of patient's assessment of breast cosmesis, arm swelling/pain, limitation of movement, loss of feeling in fingers and breast sensitivity/tenderness were dichotomized and their impact on QOL (QLQ-C30) were assessed. Multivariable modelling was also performed to assess associations with QOL. The St. George and Wollongong randomized trial randomized 688 patients into the boost and no boost arms. 609, 580, and 428 patients had baseline, 5 and 10 years cosmetic data available, respectively. Similar numbers had the various functional assessments in the corresponding period. By univariate analysis, cosmesis and a number of functional outcomes were highly associated with QOL. Adjusted multivariate modelling showed that cosmesis remained associated with QOL at 5 and 10 years. Breast sensitivity, arm pain, breast separation, age and any distant cancer event were also associated with QOL on multivariate modelling at 10 years. This study highlights the importance of maintaining favorable cosmetic and functional outcomes following BCS. In addition, the clinically and statistically significant relationship between functional outcomes and QOL shows the importance for clinicians and allied health professionals in identifying, discussing, managing, and limiting these effects in women with breast cancer in order to maintain QOL.

Use of durvalumab in stage III non-small-cell lung cancer based on eligibility for the PACIFIC study.

BACKGROUND: Durvalumab following concurrent chemoradiotherapy is standard treatment for unresectable stage III non-small-cell lung cancer based on the results of the PACIFIC trial. Based on trial criteria, not all patients are eligible for durvalumab in routine clinical practice. METHODS: We evaluated eligibility for durvalumab in a real-world clinical setting and the impact of eligibility on outcomes. Consecutive patients treated with concurrent chemoradiotherapy at two tertiary centers between January 2015 and June 2022 were assessed. Clinical characteristics and outcomes were evaluated based on eligibility criteria for the PACIFIC trial. RESULTS: A total of 126 patients were included. Seventy patients (56%) were eligible for durvalumab. Ineligibility was associated with shorter progression-free survival of 9.7 months versus 18.4 months (hazard ratio [HR] 0.61, 95% confidence interval [CI] 0.39-0.95, p = 0.029) and overall survival of 26.4 months versus 58.7 months (HR 0.47, 95% CI 0.28-0.80, p = 0.005). Common reasons for ineligibility were history of previous malignancy (32%) and progressive disease or death during chemoradiotherapy (25%). Ineligible patients who received durvalumab had similar outcomes to eligible patients who received durvalumab. CONCLUSIONS: In a real-world cohort, adjuvant durvalumab is safe and beneficial in a substantial proportion of patients who would not have been eligible for the PACIFIC trial.

SABR for Early Non-Small Cell Lung Cancer: Changes in Pulmonary Function, Dyspnea, and Quality of Life.

PURPOSE: The aim of this study was to report pulmonary function tests (PFTs) and clinician-reported and patient-reported quality-of-life (QoL) outcomes on a cohort of patients with non-small cell lung cancer (NSCLC) treated with SABR. METHODS AND MATERIALS: A total of 119 patients with NSCLC were treated with SABR in the prospective cohort SSBROC study of patients with T1-T2N0M0 NSCLC. PFTs and QoL measures were obtained at baseline pretreatment and at 6-month intervals. Here we report on the 6- to 18-month time points. Analysis of covariance (ANCOVA) methods adjusting for baseline analyzed potential predictors on outcomes of PFTs and patient-reported dyspnea at 18 months. RESULTS: The only statistically significant decline in PFTs was seen in forced expiratory volume in 1 second (FEV1) at 18 months post-SABR, with a decline of -0.11 L (P = .0087; 95% CI, -0.18 to -0.02). Of potential predictors of decline, only a 1-unit increase in smoking pack-years resulted in a -0.12 change in diffusing capacity for carbon monoxide (P = .026; 95% CI, -0.02 to -0.23) and a 0.003 decrease in FEV1 (P = .026; 95% CI, -0.006 to -0.0004). For patient-reported outcomes, statistically significant worsening in both the European Organisation for Research and Treatment of Cancer Quality of Life Core Questionnaire (QLQ-C30 Version 3) and the lung module (QLQ-LC13) dyspnea scores occurred at the 18-month time point, but not earlier. No potential predictors of worsening dyspnea were statistically significant. There was no statistically significant decline in clinician-reported outcomes or global QoL scores. CONCLUSIONS: We found a statistically significant decline in FEV1 at 18 months posttreatment. Smoking pack-years was a predictor for decline in diffusing capacity for carbon monoxide and FEV1 at 18 months. Worsening of patient-reported dyspnea scores was observed, consistent with the expected progression of lung comorbid disease.

Recommendations for the aesthetic evaluation of breast cancer conservative treatment.

During the Turning Subjective Into Objective seminar held in Lisbon in May 2011, experts in the topic gathered to discuss the unsolved problems of aesthetic evaluation of breast-conserving treatment (BCT). The purpose of this study is to review the main methodological issues related to the aesthetic evaluation of BCT, to discuss currently used methods of evaluation and the lack of a gold standard, and to write a set of recommendations that can be used as guidance for the aesthetic evaluation of BCT.

Immunotherapy, radiation oncology and radiology: An alliance into the future.

AUTHOR BIOGRAPHIES: A/Prof Eric Hau is a clinician-scientist with interest in lung and CNS tumours. His clinical and laboratory research focuses on understanding the mechanisms of radiation resistance and investigating drugs which may be utilised for radiation sensitisation to improve outcomes for patients. Associate Professor Warren Clements is an Interventional Radiologist at Alfred Health and has an Adjunct appointment with the Department of Surgery, Central Clinical School, Monash University. A/Prof Clements completed post-fellowship subspecialty training in Interventional Radiology, consolidated by completion of the EBIR certification. A/Prof Clements is actively involved in medical research with over 80 peer-reviewed publications, and has presented his research at national and international conferences. He is an Associate Editor for JMIRO and editorial board member of both CVIR and CVIR Endovascular. He volunteers his time for RANZCR as a member of the Interventional Radiology Committee and as an editorial board member for RANZCR's Inside Radiology website. A/Prof Clements has a keen interest in education and training, and is the supervisor of Intern Training in the Radiology Department. Dr. Joseph (Joe) Sia is a Consultant Radiation Oncologist at the Peter MacCallum Cancer Centre, Melbourne, Australia. He obtained his medical degree from the University of Otago, New Zealand and completed his radiation oncology training in Melbourne in 2017. He then undertook a laboratory-based PhD in tumour immunology at the University of Melbourne, which was awarded in 2020.

Improving the synergistic combination of programmed death-1/programmed death ligand-1 blockade and radiotherapy by targeting the hypoxic tumour microenvironment.

Immune checkpoint inhibition with PD-1/PD-L1 blockade is a promising area in the field of anti-cancer therapy. Although clinical data have revealed success of PD-1/PD-L1 blockade as monotherapy or in combination with CTLA-4 or chemotherapy, the combination with radiotherapy could further boost anti-tumour immunity and enhance clinical outcomes due to the immunostimulatory effects of radiation. However, the synergistic combination of PD-1/PD-L1 blockade and radiotherapy can be challenged by the complex nature of the tumour microenvironment (TME), including the presence of tumour hypoxia. Hypoxia is a major barrier to the effectiveness of both radiotherapy and PD-1/PD-L1 blockade immunotherapy. Thus, targeting the hypoxic TME is an attractive strategy to enhance the efficacy of the combination. Addition of compounds that directly or indirectly reduce hypoxia, to the combination of PD-1/PD-L1 inhibitors and radiotherapy may optimize the success of the combination and improve therapeutic outcomes. In this review, we will discuss the synergistic combination of PD-1/PD-L1 blockade and radiotherapy and highlight the role of hypoxic TME in impeding the success of both therapies. In addition, we will address the potential approaches for targeting tumour hypoxia and how exploiting these strategies could benefit the combination of PD-1/PD-L1 blockade and radiotherapy.

Radiation therapy in the prevention and management of brain metastases in patients with small cell lung cancer: a narrative review.

OBJECTIVE: The purpose of this narrative review is to survey the current literature and provide treatment recommendations for the management of patients with brain metastases (BMs) from small cell lung cancer (SCLC). BACKGROUND: BMs are very common in patients with SCLC and management has changed significantly in recent years. Radiation techniques and systemic therapies have evolved and this review will highlight these recent studies and implications on clinical practice. METHODS: This narrative review covers prophylaxis and treatment of established BMs in patients with SCLC. Studies included are based on Medline, PubMed, Google scholar searches, abstracts from conference proceedings and references from published papers. CONCLUSIONS: Radiation therapy continue to have an important role in the prophylaxis and treatment of patients with BMs. Radiation technologies have resulted in significant reduction of toxicities and improved quality of life (QoL). There continues to be many unanswered questions and results of currently accruing trials will hopefully fill some of these gaps and refine the role of radiation therapy in the management of this condition.

Predicting 2-year survival in stage I-III non-small cell lung cancer: the development and validation of a scoring system from an Australian cohort.

BACKGROUND: There are limited data on survival prediction models in contemporary inoperable non-small cell lung cancer (NSCLC) patients. The objective of this study was to develop and validate a survival prediction model in a cohort of inoperable stage I-III NSCLC patients treated with radiotherapy. METHODS: Data from inoperable stage I-III NSCLC patients diagnosed from 1/1/2016 to 31/12/2017 were collected from three radiation oncology clinics. Patient, tumour and treatment-related variables were selected for model inclusion using univariate and multivariate analysis. Cox proportional hazards regression was used to develop a 2-year overall survival prediction model, the South West Sydney Model (SWSM) in one clinic (n = 117) and validated in the other clinics (n = 144). Model performance, assessed internally and on one independent dataset, was expressed as Harrell's concordance index (c-index). RESULTS: The SWSM contained five variables: Eastern Cooperative Oncology Group performance status, diffusing capacity of the lung for carbon monoxide, histological diagnosis, tumour lobe and equivalent dose in 2 Gy fractions. The SWSM yielded a c-index of 0.70 on internal validation and 0.72 on external validation. Survival probability could be stratified into three groups using a risk score derived from the model. CONCLUSIONS: A 2-year survival model with good discrimination was developed. The model included tumour lobe as a novel variable and has the potential to guide treatment decisions. Further validation is needed in a larger patient cohort.

A Systematic Review Into the Radiologic Features Predicting Local Recurrence After Stereotactic Ablative Body Radiotherapy (SABR) in Patients With Non-Small Cell Lung Cancer (NSCLC).

PURPOSE: Posttreatment surveillance for local recurrence (LR) after stereotactic ablative body radiotherapy (SABR) can include both fluorodeoxyglucose-positron emission tomography (FDG-PET) and computed tomography (CT). Radiation-induced lung injury shares a similar appearance to LR after treatment, making the detection of LR on imaging difficult for clinicians. We aimed to summarize radiologic features of CT and FDG-PET predicting LR and to evaluate radiomics as another tool for detecting LR. METHODS AND MATERIALS: We searched MEDLINE, EMBASE, and PubMed databases for published studies and Web of Science, Wiley Online, and Science Direct databases for conference abstracts that had patient populations with non-small cell lung cancer and reported post-SABR radiologic features of FDG-PET or CT and radiomics from either FDG-PET or CT. Studies for inclusion were independently reviewed by 2 authors. RESULTS: Across 32 relevant studies, the incidence of LR was 13% (222/1726). On CT, certain gross radiologic appearances and kinetic features of changes in size, diameter, volume, or 3 consecutive rises in volume of masslike consolidation are suggestive of LR. **Particular regard should be made for the presence of any ≥3 high-risk features on CT or the individual high-risk features of enlarging opacity at ≥12 month's post-SABR as being highly suspicious of LR. On FDG-PET a relative reduction of <5% of maximum standardised uptake value (SUVmax) from baseline in the first 12 months or cut-offs of SUVmax >5 and SUVmean >3.44 after 12 months can indicate LR. There is limited evidence available to corroborate radiomic features suggestive of LR. CONCLUSIONS: This research has identified common features of LR compared with radiation-induced lung injury, which may aid in early and accurate detection of LR post-SABR; further research is required to validate these findings.

MRI radiomics in the prediction of therapeutic response to neoadjuvant therapy for locoregionally advanced rectal cancer: a systematic review.

Introduction: The standard of care for locoregionally advanced rectal cancer is neoadjuvant therapy (NA CRT) prior to surgery, of which 10-30% experience a complete pathologic response (pCR). There has been interest in using imaging features, also known as radiomics features, to predict pCR and potentially avoid surgery. This systematic review aims to describe the spectrum of MRI studies examining high-performing radiomic features that predict NA CRT response.Areas covered: This article reviews the use of pre-therapy MRI in predicting NA CRT response for patients with locoregionally advanced rectal cancer (T3/T4 and/or N1+). The primary outcome was to identify MRI radiomic studies; secondary outcomes included the power and the frequency of use of radiomic features.Expert opinion: Advanced models incorporating multiple radiomics categories appear to be the most promising. However, there is a need for standardization across studies with regards to; the definition of NA CRT response, imaging protocols, and radiomics features incorporated. Further studies are needed to validate current radiomics models and to fully ascertain the value of MRI radiomics in the response prediction for locoregionally advanced rectal cancer.

Implementation of the Australian Computer-Assisted Theragnostics (AusCAT) network for radiation oncology data extraction, reporting and distributed learning.

INTRODUCTION: There is significant potential to analyse and model routinely collected data for radiotherapy patients to provide evidence to support clinical decisions, particularly where clinical trials evidence is limited or non-existent. However, in practice there are administrative, ethical, technical, logistical and legislative barriers to having coordinated data analysis platforms across radiation oncology centres. METHODS: A distributed learning network of computer systems is presented, with software tools to extract and report on oncology data and to enable statistical model development. A distributed or federated learning approach keeps data in the local centre, but models are developed from the entire cohort. RESULTS: The feasibility of this approach is demonstrated across six Australian oncology centres, using routinely collected lung cancer data from oncology information systems. The infrastructure was used to validate and develop machine learning for model-based clinical decision support and for one centre to assess patient eligibility criteria for two major lung cancer radiotherapy clinical trials (RTOG-9410, RTOG-0617). External validation of a 2-year overall survival model for non-small cell lung cancer (NSCLC) gave an AUC of 0.65 and C-index of 0.62 across the network. For one centre, 65% of Stage III NSCLC patients did not meet eligibility criteria for either of the two practice-changing clinical trials, and these patients had poorer survival than eligible patients (10.6 m vs. 15.8 m, P = 0.024). CONCLUSION: Population-based studies on routine data are possible using a distributed learning approach. This has the potential for decision support models for patients for whom supporting clinical trial evidence is not applicable.