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 ( = 184; median age, 7 years [range, 1-23 years]; 94 male patients) and a pediatric cancer center ( = 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.
View Article and Find Full Text PDFPurpose: 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.
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.
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.
View Article and Find Full Text PDFPurpose/objective: Definitive radiotherapy (RT) is an alternative to radical cystectomy for select patients with muscle invasive bladder cancer (MIBC); however, there is limited data on dose-painted RT approaches. We report the clinical and dosimetric outcomes of a cohort of MIBC patients treated with dose-painted RT.
Material/methods: This was a single institution retrospective study of cT2-4N0M0 MIBC patients treated with external beam radiotherapy (EBRT) to the bladder, and sequential or concomitant boost to the tumor bed.
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.
View Article and Find Full Text PDFPurpose: 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.
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.
View Article and Find Full Text PDFPain 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.
View Article and Find Full Text PDFBackground: Patients with metastatic non-small cell lung cancer (NSCLC) experience significant morbidity with dyspnea being a common symptom with a prevalence of 70%. The objective of this study was to determine factors associated with a moderate-to-severe dyspnea score based on the Edmonton Symptom Assessment System (ESAS), as well as resultant patterns of intervention and factors correlated to intervention receipt.
Methods: Using health services administrative data, we conducted a population-based study of all patients diagnosed with metastatic NSCLC treated from January 2007 to September 2018 in the province of Ontario.
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.
View Article and Find Full Text PDFObjective: Gamma Knife Icon-based hypofractionated stereotactic radiosurgery (GKI-HSRS) is a novel technical paradigm in the treatment of brain metastases that allows for both the dosimetric benefits of the GKI stereotactic radiosurgery (SRS) platform as well as the biologic benefits of fractionation. We report mature local control and adverse radiation effect (ARE) outcomes following 5 fraction GKI-HSRS for intact brain metastases.
Methods: Patients with intact brain metastases treated with 5-fraction GKI-HSRS were retrospectively reviewed.
Background: Urine cytology and cystoscopy are routinely employed during follow-up of patients after trimodal therapy (TMT) for muscle-invasive bladder cancer (MIBC). The significance of positive or equivocal cytology without visible disease recurrence on cystoscopy during follow-up is unknown, and studies informing outcomes in this scenario are lacking. This study aims to investigate the temporal trends of positive/equivocal cytology in the absence of visible disease recurrence and the association with bladder cancer recurrence and survival outcomes.
View Article and Find Full Text PDFBackground 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.
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.
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).
View Article and Find Full Text PDFBackground: 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.
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.
View Article and Find Full Text PDFMachine 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.
View Article and Find Full Text PDFBackground: 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.
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.
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