Establishment of Twinning Partnership to Improve Pediatric Radiotherapy Outcomes Globally.

PURPOSE: Pediatric radiotherapy is a necessary and challenging component of oncologic care for children in low- and middle-income countries (LMICs). Collaboration between institutions in LMICs and high-income countries (HICs) has been shown to be effective in improving oncologic treatment outcomes; however, literature regarding pediatric radiotherapy twinning partnerships is limited. METHODS: Emory University has a long-standing twinning collaboration with Tikur Anbessa Specialized Hospital (TASH) for certain medical specialties. After securing institutional funding, a faculty member and a resident from the Emory University Department of Radiation Oncology set out to establish a twinning program with TASH for pediatric radiotherapy. RESULTS: Emory and TASH faculty and residents established initial communications virtually via email and video correspondence. TASH residents and faculty completed surveys regarding pediatric radiotherapy institutional and educational needs to outline goals of collaboration. Five lectures and case-based practicums were identified focused on Wilms tumor, medulloblastoma, rhabdomyosarcoma, Hodgkin lymphoma, and palliative radiotherapy. The Emory team then conducted a visit to TASH during which lectures and practicums were delivered. The Emory team directly observed and guided simulation and treatment planning procedures. TASH residents practiced decision making, simulation, contouring, and field placement for Wilms tumor cases on the basis of didactics and feedback provided by the Emory team. Additionally, a needs assessment regarding pediatric oncologic resources was completed. Clinical care pathways and standard operating procedures were drafted by collaborators. Virtual peer-review sessions were established to continue collaborations abroad and plan for next in-person visit. CONCLUSION: Collaborative efforts by global experts have helped to establish and improve treatment protocols for childhood cancer. The presented twinning experience may serve as a model for other LMIC and HIC centers for establishing similar partnerships.

Automatic multi-catheter detection using deeply supervised convolutional neural network in MRI-guided HDR prostate brachytherapy.

PURPOSE: High-dose-rate (HDR) brachytherapy is an established technique to be used as monotherapy option or focal boost in conjunction with external beam radiation therapy (EBRT) for treating prostate cancer. Radiation source path reconstruction is a critical procedure in HDR treatment planning. Manually identifying the source path is labor intensive and time inefficient. In recent years, magnetic resonance imaging (MRI) has become a valuable imaging modality for image-guided HDR prostate brachytherapy due to its superb soft-tissue contrast for target delineation and normal tissue contouring. The purpose of this study is to investigate a deep-learning-based method to automatically reconstruct multiple catheters in MRI for prostate cancer HDR brachytherapy treatment planning. METHODS: Attention gated U-Net incorporated with total variation (TV) regularization model was developed for multi-catheter segmentation in MRI. The attention gates were used to improve the accuracy of identifying small catheter points, while TV regularization was adopted to encode the natural spatial continuity of catheters into the model. The model was trained using the binary catheter annotation images offered by experienced physicists as ground truth paired with original MRI images. After the network was trained, MR images of a new prostate cancer patient receiving HDR brachytherapy were fed into the model to predict the locations and shapes of all the catheters. Quantitative assessments of our proposed method were based on catheter shaft and tip errors compared to the ground truth. RESULTS: Our method detected 299 catheters from 20 patients receiving HDR prostate brachytherapy with a catheter tip error of 0.37 ± 1.68 mm and a catheter shaft error of 0.93 ± 0.50 mm. For detection of catheter tips, our method resulted in 87% of the catheter tips within an error of less than ± 2.0 mm, and more than 71% of the tips can be localized within an absolute error of no >1.0 mm. For catheter shaft localization, 97% of catheters were detected with an error of <2.0 mm, while 63% were within 1.0 mm. CONCLUSIONS: In this study, we proposed a novel multi-catheter detection method to precisely localize the tips and shafts of catheters in three-dimensional MRI images of HDR prostate brachytherapy. It paves the way for elevating the quality and outcome of MRI-guided HDR prostate brachytherapy.