A population-based analysis of the management of symptoms of depression among patients with stage IV non-small cell lung cancer (NSCLC) in Ontario, Canada.

PURPOSE: Patients with lung cancer can experience significant psychological morbidities including depression. We characterize patterns and factors associated with interventions for symptoms of depression in stage IV non-small cell lung cancer (NSCLC). METHODS: We conducted a population-based cohort study using health services administrative data in Ontario, Canada of stage IV NSCLC diagnosed from January 2007 to September 2018. A positive symptom of depression score was defined by reporting at least one ESAS (Edmonton Symptom Assessment System) depression score ≥ 2 following diagnosis until the end of follow-up (September 2019). Patient factors included age, sex, comorbidity burden, rurality of residence, and neighbourhood income quintile. Interventions included psychiatry assessment, psychology referral, social work referral and anti-depressant medical therapy (for patients ≥ 65 years with universal drug coverage). Multivariable modified Poisson regression models were used to examine the association between patient factors and intervention use for patients who reported symptoms of depression. RESULTS: In the cohort of 13,159 patients with stage IV NSCLC lung cancer, symptoms of depression were prevalent (71.4%, n = 9,397). Patients who reported symptoms of depression were more likely to receive psychiatry assessment/psychology referral (7.8% vs 3.5%; SD [standardized difference] 0.19), social work referral (17.4% vs 11.9%; SD 0.16) and anti-depressant prescriptions (23.8% vs 13.8%; SD 0.26) when compared to patients who did not report symptoms of depression respectively. In multivariable analyses, older patients were less likely to receive any intervention. Females were more likely to obtain a psychiatry assessment/psychology referral or social work referral. In addition, patients from non-major urban or rural residences were less likely to receive psychiatry assessment/psychology referral or social work referral, however patients from rural residences were more likely to be prescribed anti-depressants. CONCLUSIONS: There is high prevalence of symptoms of depression in stage IV NSCLC. We identify patient populations, including older patients and rural patients, who are less likely to receive interventions that will help identifying and screening for symptoms of depression.

Enhancing Symptom Screening and Patient Education Among Patients with Metastatic Lung Cancer: a Qualitative Analysis.

We explored perspectives of patients with metastatic non-small cell lung cancer (mNSCLC) on symptom screening and population-level patient-reported outcome (PRO) data regarding common symptom trajectories in the year after diagnosis. A qualitative study of patients with mNSCLC was conducted at a Canadian tertiary cancer centre. English-speaking patients diagnosed ≥ 6 months prior to study invitation were recruited, and semi-structured one-on-one interviews were conducted. Patient and treatment characteristics were obtained via chart review. Anonymized interview transcripts underwent deductive-inductive coding and thematic content analysis. Among ten participants (5 (50%) females; median (range) age, 68 (56-77) years; median (range) time since diagnosis, 28.5 (6-72) months; 6 (60%) with smoking histories), six themes were identified in total. Two themes were identified regarding symptom screening: (1) screening is useful for symptom self-monitoring and disclosure to the healthcare team, (2) screening of additional quality-of-life (QOL) domains (smoking-related stigma, sexual dysfunction, and financial toxicity) is desired. Four themes were identified regarding population-level symptom trajectory PRO data: (1) data provide reassurance and motivation to engage in symptom self-management, (2) data should be disclosed after an oncologic treatment plan is developed, (3) data should be communicated via in-person discussion with accompanying patient-education resources, and (4) communication of data should include reassurance about symptom stabilization, acknowledgement of variability in patient experience, and strategies for symptom self-management. The themes and recommendations derived from the patient experience with mNSCLC provide guidance for enhanced symptom screening and utilization of population-level symptom trajectory data for patient education.

Province-Wide Analysis of Patient-Reported Outcomes for Stage IV Non-Small Cell Lung Cancer.

BACKGROUND: In Ontario, Canada, patient-reported outcome (PRO) evaluation through the Edmonton Symptom Assessment System (ESAS) has been integrated into clinical workflow since 2007. As stage IV non-small cell lung cancer (NSCLC) is associated with substantial disease and treatment-related morbidity, this province-wide study investigated moderate to severe symptom burden in this population. MATERIALS AND METHODS: ESAS collected from patients with stage IV NSCLC diagnosed between 2007 and 2018 linked to the Ontario provincial health care system database were studied. ESAS acquired within 12 months following diagnosis were analyzed and the proportion reporting moderate to severe scores (ESAS ≥4) in each domain was calculated. Predictors of moderate to severe scores were identified using multivariable Poisson regression models with robust error variance. RESULTS: Of 22,799 patients, 13,289 (58.3%) completed ESAS (84,373 assessments) in the year following diagnosis. Patients with older age, with high comorbidity, and not receiving active cancer therapy had lower ESAS completion. The majority (94.4%) reported at least one moderate to severe symptom. The most prevalent were tiredness (84.1%), low well-being (80.7%), low appetite (71.7%), and shortness of breath (67.8%). Most symptoms peaked at diagnosis and, while declining, remained high in the following year. On multivariable analyses, comorbidity, low income, nonimmigrants, and urban residency were associated with moderate to severe symptoms. Moderate to severe scores in all ESAS domains aside from anxiety were associated with radiotherapy within 2 weeks prior, whereas drowsiness, low appetite and well-being, nausea, and tiredness were associated with systemic therapy within 2 weeks prior. CONCLUSION: This province-wide PRO analysis showed moderate to severe symptoms were prevalent and persistent among patients with metastatic NSCLC, underscoring the need to address supportive measures in this population especially around treatments. IMPLICATIONS FOR PRACTICE: In this largest study of lung cancer patient-reported outcomes (PROs), stage IV non-small cell lung cancer patients had worse moderate-to-severe symptoms than other metastatic malignancies such as breast or gastrointestinal cancers when assessed with similar methodology. Prevalence of moderate-to-severe symptoms peaked early and remained high during the first year of follow-up. Symptom burden was associated with recent radiation and systemic treatments. Early and sustained PRO collection is important to detect actionable symptom progression, especially around treatments. Vulnerable patients (e.g., older, high comorbidity) who face barriers in attending in-person clinic visits had lower PRO completion. Virtual PRO collection may improve completion.

Pre-treatment psychoeducational intervention and outcomes in head and neck cancer patients undergoing radiotherapy.

BACKGROUND: To investigate the relationship between attendance to a pre-treatment psychoeducational intervention (prehab) with treatment outcomes and toxicities in patients receiving radiotherapy for head and neck cancers (HNCs). METHODS: Patients were included from prehab inception in 2013 to 2017, comparing overall survival (OS), locoregional recurrence-free survival (LRFS), and locoregional recurrence (LRR) between prehab attendees (PA) and non-attendees (PNA). Multivariable analysis was performed for OS and LRFS. RESULTS: Among 864 PA and 1128 PNA, 2-year OS was 88% vs 80% (p < 0.001), and LRFS was 84% vs 75% (p < 0.001). On multivariable analysis (MVA), OS and LRFS were independently and unfavourably associated with PNA. The PA cohort had a lower frequency of a "rocky treatment course" compared with the PNA cohort (52/150, 35% vs 71/150, 47%; p = 0.034). CONCLUSIONS: Prehab at our institution is associated with improved long-term oncologic outcomes. Prospective data is needed to better understand this association.

The Perceptions and Expectations of Older Women in the Establishment of the Senior Women's Breast Cancer Clinic (SWBCC): a Needs Assessment Study.

This study explored older women's perceptions and expectations of the prospective Senior Women's Breast Cancer Clinic (SWBCC) at Sunnybrook Odette Cancer Centre (SOCC) in Toronto, Ontario, Canada. In our previous studies, older breast cancer patients had expressed a greater need for informational, decisional, and post-treatment support. This study also assessed women's perspectives on the involvement of geriatricians and incorporation of geriatric assessment in their cancer care. Twelve breast cancer patients aged 68 years or older who were treated at the SOCC participated in the study. We recorded and transcribed 11 interviews and analyzed them using qualitative thematic analysis methods to identify major themes; one interview was excluded due to recording defect. Eight major themes were identified: transportation issues, service, communication between patient and healthcare professionals, communication between healthcare professionals, support during treatment, support after treatment, informational resources, and patient suggestions. Important issues were raised by participants, such as difficulties in arranging transportation to the clinic, barriers in accessing family physician service, and communication breakdown that result in treatment delay and unaddressed complications. In conclusion, there were important gaps in the cancer care of older women with breast cancer that could be detected earlier and better addressed in the new multidisciplinary SWBCC. The participating women were highly supportive of the initiative and made several suggestions on how the clinic could better accommodate their specific needs during and after breast cancer treatment.

Reduced Mortality and Radiation Necrosis After Surgery With Postoperative Stereotactic Radiation in Patients With Multiple Brain Metastases.

BACKGROUND AND OBJECTIVES: Although stereotactic radiation has frequently supplanted whole-brain radiation therapy (WBRT) in treating patients with multiple brain metastases, the role of surgery for these patients remains unresolved. No randomized trials have compared surgical resection with postoperative stereotactic radiosurgery (SRS) or stereotactic radiotherapy (SRT) to SRS/SRT alone. Previous studies addressing surgery for patients with multiple brain metastases are often limited by small sample sizes, a lack of appropriate comparison groups, or a focus on patients treated before recent advances in targeted therapy and immunotherapy. We compared outcomes in patients with multiple brain metastases treated with surgical resection and postoperative SRS/SRT to those treated with SRS/SRT alone. METHODS: We studied 734 patients with multiple newly diagnosed brain metastases (surgery with SRS/SRT, n = 228; SRS/SRT alone, n = 506) from 2011 to 2022 in a retrospective, single-institution cohort. Patients who received upfront whole-brain radiotherapy were excluded. Cox proportional hazards models were constructed for overall survival and additional intracranial outcomes. RESULTS: After adjustment for potential confounders, surgery with postoperative SRS/SRT was associated with decreased all-cause mortality compared with SRS/SRT alone (hazard ratio [HR]: 0.67, 95% CI [0.50-0.89], P = 5.56 × 10 -3 ). The association between surgical resection and overall survival was replicated in a subset of the cohort after cardinality matching (HR: 0.64, 95% CI [0.46-0.88], P = 6.68 × 10 -3 ). Patients with melanoma benefited significantly less from surgical resection compared with patients with other tumor types, most notably non-small-cell lung cancer. Compared with definitive SRS/SRT, cavity SRS/SRT was associated with a significantly reduced risk of both symptomatic radiation necrosis (HR: 0.22, 95% CI [0.08-0.59], P = 2.70 × 10 -3 ) and radiographic radiation necrosis (HR: 0.23, 95% CI [0.09-0.57], P = 1.43 × 10 -3 ) in multivariable models. CONCLUSION: In patients with multiple brain metastases, surgical resection before SRS/SRT is associated with reduced mortality and radiation necrosis. Prospective studies may further delineate patient populations that benefit from aggressive local, brain-directed treatment even with significant intracranial disease burden.

Widening the therapeutic window for central and ultra-central thoracic oligometastatic disease with stereotactic MR-guided adaptive radiation therapy (SMART).

BACKGROUND/PURPOSE: Central/ultra-central thoracic tumors are challenging to treat with stereotactic radiotherapy due potential high-grade toxicity. Stereotactic MR-guided adaptive radiation therapy (SMART) may improve the therapeutic window through motion control with breath-hold gating and real-time MR-imaging as well as the option for daily online adaptive replanning to account for changes in target and/or organ-at-risk (OAR) location. MATERIALS/METHODS: 26 central (19 ultra-central) thoracic oligoprogressive/oligometastatic tumors treated with isotoxic (OAR constraints-driven) 5-fraction SMART (median 50 Gy, range 35-60) between 10/2019-10/2022 were reviewed. Central tumor was defined as tumor within or touching 2 cm around proximal tracheobronchial tree (PBT) or adjacent to mediastinal/pericardial pleura. Ultra-central was defined as tumor abutting the PBT, esophagus, or great vessel. Hard OAR constraints observed were ≤ 0.03 cc for PBT V40, great vessel V52.5, and esophagus V35. Local failure was defined as tumor progression/recurrence within the planning target volume. RESULTS: Tumor abutted the PBT in 31 %, esophagus in 31 %, great vessel in 65 %, and heart in 42 % of cases. 96 % of fractions were treated with reoptimized plan, necessary to meet OAR constraints (80 %) and/or target coverage (20 %). Median follow-up was 19 months (27 months among surviving patients). Local control (LC) was 96 % at 1-year and 90 % at 2-years (total 2/26 local failure). 23 % had G2 acute toxicities (esophagitis, dysphagia, anorexia, nausea) and one (4 %) had G3 acute radiation dermatitis. There were no G4-5 acute toxicities. There was no symptomatic pneumonitis and no G2 + late toxicities. CONCLUSION: Isotoxic 5-fraction SMART resulted in high rates of LC and minimal toxicity. This approach may widen the therapeutic window for high-risk oligoprogressive/oligometastatic thoracic tumors.

Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario.

Purpose To develop, externally test, and evaluate clinical acceptability of a deep learning pediatric brain tumor segmentation model using stepwise transfer learning. Materials and Methods In this retrospective study, the authors leveraged two T2-weighted MRI datasets (May 2001 through December 2015) from a national brain tumor consortium (n = 184; median age, 7 years [range, 1-23 years]; 94 male patients) and a pediatric cancer center (n = 100; median age, 8 years [range, 1-19 years]; 47 male patients) to develop and evaluate deep learning neural networks for pediatric low-grade glioma segmentation using a stepwise transfer learning approach to maximize performance in a limited data scenario. The best model was externally tested on an independent test set and subjected to randomized blinded evaluation by three clinicians, wherein they assessed clinical acceptability of expert- and artificial intelligence (AI)-generated segmentations via 10-point Likert scales and Turing tests. Results The best AI model used in-domain stepwise transfer learning (median Dice score coefficient, 0.88 [IQR, 0.72-0.91] vs 0.812 [IQR, 0.56-0.89] for baseline model; P = .049). With external testing, the AI model yielded excellent accuracy using reference standards from three clinical experts (median Dice similarity coefficients: expert 1, 0.83 [IQR, 0.75-0.90]; expert 2, 0.81 [IQR, 0.70-0.89]; expert 3, 0.81 [IQR, 0.68-0.88]; mean accuracy, 0.82). For clinical benchmarking (n = 100 scans), experts rated AI-based segmentations higher on average compared with other experts (median Likert score, 9 [IQR, 7-9] vs 7 [IQR 7-9]) and rated more AI segmentations as clinically acceptable (80.2% vs 65.4%). Experts correctly predicted the origin of AI segmentations in an average of 26.0% of cases. Conclusion Stepwise transfer learning enabled expert-level automated pediatric brain tumor autosegmentation and volumetric measurement with a high level of clinical acceptability. Keywords: Stepwise Transfer Learning, Pediatric Brain Tumors, MRI Segmentation, Deep Learning Supplemental material is available for this article. © RSNA, 2024.

Advances in MRI-Guided Radiation Therapy.

Image guidance for radiation therapy (RT) has evolved over the last few decades and now is routinely performed using cone-beam computerized tomography (CBCT). Conventional linear accelerators (LINACs) that use CBCT have limited soft tissue contrast, are not able to image the patient's internal anatomy during treatment delivery, and most are not capable of online adaptive replanning. RT delivery systems that use MRI have become available within the last several years and address many of the imaging limitations of conventional LINACs. Herein, the authors review the technical characteristics and advantages of MRI-guided RT as well as emerging clinical outcomes.

Pain and Interventions in Stage IV Non-Small Cell Lung Cancer: A Province-Wide Analysis.

Pain is a common symptom in stage IV non-small cell lung cancer (NSCLC). The objective of the study was to examine the use of interventions and factors associated with interventions for pain. A population-based cohort study in Ontario, Canada was conducted with patients diagnosed with stage IV NSCLC from January 2007 to September 2018. An Edmonton Symptom Assessment System (ESAS) score of ≥4 defined moderate-to-severe pain following diagnosis. The study cohort included 13,159 patients, of which 68.5% reported at least one moderate-to-severe pain score. Most patients were assessed by a palliative care team (85.4%), and the majority received radiation therapy (73.2%). The use of nerve block was rare (0.8%). For patients ≥65 years of age who had drug coverage, 59.6% received an opiate prescription. Patients with moderate-to-severe pain were more likely to receive palliative assessment or radiation therapy compared to patients with none or mild pain. Patients aged ≥70 years and with a greater comorbidity burden were associated with less likelihood to receive radiation therapy. Patients from rural/non-major urban residence and with a greater comorbidity burden were also less likely to receive palliative care assessment. Factors associated with interventions for pain are described to inform future symptom management in this population.

Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning.

Purpose: Artificial intelligence (AI)-automated tumor delineation for pediatric gliomas would enable real-time volumetric evaluation to support diagnosis, treatment response assessment, and clinical decision-making. Auto-segmentation algorithms for pediatric tumors are rare, due to limited data availability, and algorithms have yet to demonstrate clinical translation. Methods: We leveraged two datasets from a national brain tumor consortium (n=184) and a pediatric cancer center (n=100) to develop, externally validate, and clinically benchmark deep learning neural networks for pediatric low-grade glioma (pLGG) segmentation using a novel in-domain, stepwise transfer learning approach. The best model [via Dice similarity coefficient (DSC)] was externally validated and subject to randomized, blinded evaluation by three expert clinicians wherein clinicians assessed clinical acceptability of expert- and AI-generated segmentations via 10-point Likert scales and Turing tests. Results: The best AI model utilized in-domain, stepwise transfer learning (median DSC: 0.877 [IQR 0.715-0.914]) versus baseline model (median DSC 0.812 [IQR 0.559-0.888]; p<0.05). On external testing (n=60), the AI model yielded accuracy comparable to inter-expert agreement (median DSC: 0.834 [IQR 0.726-0.901] vs. 0.861 [IQR 0.795-0.905], p=0.13). On clinical benchmarking (n=100 scans, 300 segmentations from 3 experts), the experts rated the AI model higher on average compared to other experts (median Likert rating: 9 [IQR 7-9]) vs. 7 [IQR 7-9], p<0.05 for each). Additionally, the AI segmentations had significantly higher (p<0.05) overall acceptability compared to experts on average (80.2% vs. 65.4%). Experts correctly predicted the origins of AI segmentations in an average of 26.0% of cases. Conclusions: Stepwise transfer learning enabled expert-level, automated pediatric brain tumor auto-segmentation and volumetric measurement with a high level of clinical acceptability. This approach may enable development and translation of AI imaging segmentation algorithms in limited data scenarios.

Effectiveness of radiotherapy for local control in T3N0 rectal cancer managed with total mesorectal excision: a meta-analysis.

INTRODUCTION: The total mesorectal excision (TME) significantly improved rectal cancer outcomes. Radiotherapy's benefit in T3N0 rectal cancer patients managed with TME has not been clearly demonstrated. A systematic review and meta-analysis were undertaken to determine whether radiotherapy altered the risk of locoregional recurrence (LR) in T3N0 rectal cancer patients managed with a TME. MATERIALS AND METHODS: Studies indexed on PubMed or Embase were systematically searched from inception to October 18, 2020. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were observed for the literature search, study screening, and data extraction; the Newcastle Ottawa Scale evaluated bias; Grades of Recommendation, Assessment, Development, and Evaluation Working Group system evaluated certainty; and all were performed independently by at least two investigators. Studies that reported LR data specific to T3N0 rectal cancer patients managed with TME, treated with and without radiotherapy, were included. Data was pooled using a random-effects model. Meta-analyses of the relative risk of local recurrence were conducted. RESULTS: Five retrospective cohort studies involving 932 unique patients reported LR outcomes; no prospective studies met eligibility criteria. Median follow-up ranged from 38.4-78 months. Adjuvant radiotherapy was provided in 3 studies. Chemotherapy was delivered and reported in 4 studies, providing both concurrent and adjuvant chemotherapy. A non-significant LR reduction with radiotherapy alongside TME was estimated, mean relative risk (RR) 0.63 (95% Confidence Interval 0.31-1.29; I2 = 41.8%). CONCLUSIONS: A non-significant LR benefit with radiotherapy's addition was estimated. Meta-analysis of exclusively retrospective cohort studies was concerning for biased results. Adequately powered randomized trials are warranted.

Major adverse cardiac event risk prediction model incorporating baseline Cardiac disease, Hypertension, and Logarithmic Left anterior descending coronary artery radiation dose in lung cancer (CHyLL).

BACKGROUND AND PURPOSE: In patients with locally advanced non-small cell lung cancer (LA-NSCLC) post-radiotherapy, mean heart dose (MHD) and the percent of left anterior descending (LAD) coronary artery receiving ≥15 Gy (LADV15) are associated with major adverse cardiac events (MACE). We developed a MACE prediction model in this population. MATERIALS AND METHODS: Total 701 patients with LA-NSCLC treated with curative-intent radiotherapy reviewed, split by diagnosis date into "development" (n = 500) and later (n = 201) "test" cohorts. Development patients were analyzed using a multivariable Cox-proportional hazard model with backward elimination scheme (Bonferroni-adjusted α = 0.025). Potential predictors were selected a priori: age, coronary heart disease (CHD), Framingham Risk, hypertension, MHD, LADV15, intensity modulated radiotherapy use, and CHD and LADV15 interaction (CHD:LADV15). Cardiac doses as quadratic, square root, and logarithmic (ln[X + 1]) forms were explored. Models were internally validated with bootstrapping. RESULTS: Final model incorporated CHD, Hypertension, Logarithmic LADV15, and CHD*ln[LADV15 + 1] (CHyLL; ß coefficients: 5.51, 1.28, 1.48, -1.36; all p < 0.025; bootstrapping c-index: 0.80; test cohort c-index: 0.76). Possible risk score range: 0-8.11. MACE incidence was 6.8% and 23.6% at 48 months (p = 0.041), and survival rates were 51.6% and 35.0% (p = 0.099), in the low-risk (score <5.00) and high-risk (score ≥5) test groups, respectively. Using the model, calculated LADV15 constraints for patients without CHD were 11.3% and 28.3% for those with and without hypertension, respectively, to remain low-risk. CONCLUSIONS: Pre-existing CHD, hypertension, and LADV15 were important factors in predicting MACE after radiotherapy. CHyLL has the potential to estimate personalized LADV15 constraints based on cardiac risk factors and acceptable MACE thresholds.

Safety Related to the Timing of Radiotherapy and Immune Checkpoint Inhibitors in Patients with Advanced Non-Small Cell Lung Cancer: A Single Institutional Experience.

BACKGROUND: The safety impact of radiotherapy (RT) timing relative to immune checkpoint inhibitors (ICIs) for advanced non-small-cell lung cancer (NSCLC) is unclear. We investigated if RT within 14 days (Interval 1) and 90 days (Interval 2) of ICI use is associated with toxicities compared to RT outside these intervals. METHODS: Advanced NSCLC patients treated with both RT and ICIs were reviewed. Toxicities were graded as per CTCAE v4.0 and attributed to either ICIs or RT by clinicians. Associations between RT timing and Grade ≥2 toxicities were analyzed using logistic regression models adjusted for patient, disease, and treatment factors (α = 0.05). RESULTS: Sixty-four patients were identified. Twenty received RT within Interval 1 and 40 within Interval 2. There were 20 Grade ≥2 toxicities in 18 (28%) patients; pneumonitis (6) and nausea (2) were most prevalent. One treatment-related death (immune encephalitis) was observed. Rates of patients with Grade ≥2 toxicities were 35%/25% in the group with/without RT within Interval 1 and 30%/25% in the group with/without RT within Interval 2. No significant association between RT timing relative to ICI use period and Grade ≥2 toxicities was observed. CONCLUSION: Albeit limited by the small sample size, the result suggested that pausing ICIs around RT use may not be necessary.

Local ablative therapies in oligometastatic NSCLC-upfront or outback?-a narrative review.

Patients with oligometastatic (OM) non-small cell lung cancer (NSCLC) have favorable outcomes compared to patients presenting with diffuse metastatic disease. Recent randomized trials have demonstrated safety and efficacy signals for local ablative therapies with radiotherapy, surgery, or radiofrequency ablation for OM-NSCLC patients alongside systemic therapies. However, it remains unclear whether local ablative therapy (LAT) should be offered either upfront preceding systemic therapies or following initial systemic therapies as local consolidative therapy (LCT). Establishing optimal timing of RT and systemic therapy combinations is essential to maximize efficacy while maintaining safety. Most published randomized trial evidence surrounding the benefits of LAT and systemic therapies were generated from OM-NSCLC patients receiving cytotoxic chemotherapy agents. With increasing use of novel agents such as targeted therapies (i.e., tyrosine kinase inhibitors) and immune checkpoint inhibitors in management of metastatic NSCLC patients, LAT timing may need to be modulated based on the use of specific agents. This narrative review will discuss the current evidence on either upfront LAT or LCT for OM-NSCLC based on published trials and cohort studies. We briefly explored the possible biological mechanisms of the potential clinical advantages of either approach. This review also summarized the ongoing trials incorporating both upfront LAT and LCT, and considerations for future LAT strategies.

Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer.

Machine learning (ML) holds great promise for impacting healthcare delivery; however, to date most methods are tested in 'simulated' environments that cannot recapitulate factors influencing real-world clinical practice. We prospectively deployed and evaluated a random forest algorithm for therapeutic curative-intent radiation therapy (RT) treatment planning for prostate cancer in a blinded, head-to-head study with full integration into the clinical workflow. ML- and human-generated RT treatment plans were directly compared in a retrospective simulation with retesting (n = 50) and a prospective clinical deployment (n = 50) phase. Consistently throughout the study phases, treating physicians assessed ML- and human-generated RT treatment plans in a blinded manner following a priori defined standardized criteria and peer review processes, with the selected RT plan in the prospective phase delivered for patient treatment. Overall, 89% of ML-generated RT plans were considered clinically acceptable and 72% were selected over human-generated RT plans in head-to-head comparisons. RT planning using ML reduced the median time required for the entire RT planning process by 60.1% (118 to 47 h). While ML RT plan acceptability remained stable between the simulation and deployment phases (92 versus 86%), the number of ML RT plans selected for treatment was significantly reduced (83 versus 61%, respectively). These findings highlight that retrospective or simulated evaluation of ML methods, even under expert blinded review, may not be representative of algorithm acceptance in a real-world clinical setting when patient care is at stake.

Characterization and management of NMIBC recurrences after TMT: a matched cohort analysis.

INTRODUCTION AND OBJECTIVE: Bladder preservation with trimodal therapy (TMT) has emerged as a feasible alternative strategy to treat localized muscle invasive bladder cancer (MIBC). There is lack of consensus regarding the treatment of local recurrence following TMT. The aim of this paper is to determine whether traditional NMIBC therapies can be applied to the management of NMIBC recurrences following TMT. METHODS: Using our institutional bladder cancer radiotherapy database, all patients with recurrent NMIBC following TMT were identified between 2008-2019. TMT patients were initially treated with maximal TURBT followed by combination chemotherapy/radiotherapy (weekly cisplatin 40 mg/m2 and 64-66 Gy to the bladder) with localizing Lipiodol injections. We compared NMIBC recurrent patients to a cohort of matched controls with primary NMIBC, hypothesizing that post-TMT patients treated with traditional NMIBC therapies would have outcomes similar to patients with primary NMIBC. Primary NMIBC patients were derived from our local NMIBC database and matching was based on clinical stage and grade in a 5:1 manner (controls:cases). Recurrences in the TMT group were managed according to the standard therapy for NMIBC. A descriptive analysis was performed between patients undergoing TMT with NMIBC recurrence and patients initially diagnosed with de novo NMIBC. Overall survival was calculated for each group and analyzed using the Kaplan-Meier method and Cox proportional hazards modeling. Recurrence-free and cystectomy-free survival were analyzed using competing risk methods. RESULTS: Twelve patients out of 124 patients in the TMT cohort had NMIBC recurrence and were compared to 60 patients in a control group who were diagnosed with de-novo NMIBC. Median age of the TMT group was 78 [54 - 84] years versus 66 [23 - 88] years for the non-TMT group. Median follow-up for was 3.6 years versus 5.4 years in the non-TMT group. The clinical stage of the TMT NMIBC recurrences was Ta (n = 4), T1 (n = 3), CIS (n = 5). During the follow-up period, 38 (63%) further recurrences occurred in the non-TMT group compared to 2 (17%) in TMT group (P = 0.004). One patient (8%) from the TMT group required a cystectomy compared to 11 (18%) in the non-TMT group (P = 0.68). There were 2 non-cancer deaths (17%) in TMT group compared to one (2%) in the non-TMT group. CONCLUSION: Our study demonstrates NMIBC recurrences post TMT can be successfully managed with endoscopic and adjuvant intravesical therapies.

Current Management and Progress in Radiotherapy for Small Cell Lung Cancer.

Radiotherapy (RT) and chemotherapy continue to be widely utilized in small cell lung cancer (SCLC) management. In most limited stage (LS)-SCLC cases, the standard initial therapy remains concurrent chemoradiotherapy (CRT), typically with an etoposide and platinum-based regimen. Hyperfractionated twice daily (BID) RT remains the standard of care, though conventional daily (QD) RT is now a viable alternative supported by randomized evidence. In LS-SCLC patients who experienced good response to CRT, prophylactic cranial irradiation (PCI) remains the standard of care. Brain imaging, ideally with MRI, should be performed prior to PCI to screen for clinically apparent brain metastases that may require a higher dose of cranial irradiation. Platinum doublet chemotherapy alone is the historic standard initial therapy in extensive stage (ES)-SCLC. Addition of immunotherapy such as atezolizumab and durvalumab to chemotherapy is now recommended after their benefits were demonstrated in recent trials. In patients with response to chemotherapy, consolidation thoracic RT and PCI could be considered, though with caveats. Emergence of hippocampal avoidance cranial irradiation and SRS in SCLC patients may supplant whole cranial irradiation as future standards of care. Incorporation of novel systemic therapies such as immunotherapies has changed the treatment paradigm and overall outlook of patients with SCLC. This narrative review summarizes the current state, ongoing trials, and future directions of radiotherapy in management of SCLC.