Publications by authors named "Steven E Schild"

Purpose: We report 5-year oncologic outcomes of a prospective series of patients with prostate cancer treated with spot-scanning proton therapy (SSPT).

Methods And Materials: A prospective registry identified patients with prostate cancer treated with SSPT between January 2016 and December 2018. Five-year overall survival, local control, biochemical failure, regional and distant failures, and adverse events (AEs) were assessed.

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Article Synopsis
  • Online adaptive proton therapy (oAPT) is crucial for managing anatomical changes in patients undergoing proton therapy for prostate cancer, and integrating AI-based autosegmentation can enhance its efficiency and accuracy.
  • A new oAPT workflow was developed, integrating tools for spot arrangement and an LET-based evaluation to assess potential risks associated with high-dose treatments, which was validated on 11 prostate cancer patients.
  • The results showed significant improvements in treatment planning quality, with high accuracy in dose delivery maintained, and the entire workflow took about 9 minutes on average to complete.
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Radiation therapy (RT) is a frontline approach to treating cancer. While the target of radiation dose delivery is the tumor, there is an inevitable spill of dose to nearby normal organs causing complications. This phenomenon is known as radiotherapy toxicity.

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Importance: The optimal radiotherapy technique for unresectable locally advanced non-small cell lung cancer (NSCLC) is controversial, so evaluating long-term prospective outcomes of intensity-modulated radiotherapy (IMRT) is important.

Objective: To compare long-term prospective outcomes of patients receiving IMRT and 3-dimensional conformal radiotherapy (3D-CRT) with concurrent carboplatin/paclitaxel for locally advanced NSCLC.

Design, Setting, And Participants: A secondary analysis of a prospective phase 3 randomized clinical trial NRG Oncology-RTOG 0617 assessed 483 patients receiving chemoradiotherapy (3D-CRT vs IMRT) for locally advanced NSCLC based on stratification.

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Patients with metastatic epidural spinal cord compression (MESCC) and favorable survival prognoses may benefit from radiation doses exceeding 10 × 3.0 Gy. In a multi-center phase 2 trial, patients receiving 15 × 2.

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Background: Prolonged survival of patients with metastatic disease has furthered interest in metastasis-directed therapy (MDT).

Research Question: There is a paucity of data comparing lung MDT modalities. Do outcomes among sublobar resection (SLR), stereotactic body radiation therapy (SBRT), and percutaneous ablation (PA) for lung metastases vary in terms of local control and survival?

Study Design And Methods: Medical records of patients undergoing lung MDT at a single cancer center between January 2015 and December 2020 were reviewed.

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Background: Accurate and efficient dose calculation is essential for on-line adaptive planning in proton therapy. Deep learning (DL) has shown promising dose prediction results in photon therapy. However, there is a scarcity of DL-based dose prediction methods specifically designed for proton therapy.

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Purpose: To develop a DL-based PBSPT dose prediction workflow with high accuracy and balanced complexity to support on-line adaptive proton therapy clinical decision and subsequent replanning.

Methods: PBSPT plans of 103 prostate cancer patients and 83 lung cancer patients previously treated at our institution were included in the study, each with CTs, structure sets, and plan doses calculated by the in-house developed Monte-Carlo dose engine. For the ablation study, we designed three experiments corresponding to the following three methods: 1) Experiment 1, the conventional region of interest (ROI) method.

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Article Synopsis
  • Deformable Image Registration (DIR) is crucial in radiation oncology but conventional methods can be slow and image-specific, limiting their clinical use.
  • The proposed deep-learning DIR method, utilizing a neural network called VoxelMorph, aims to expedite this process for lung cancer patients and enhance applications like dose deformation and adaptive radiotherapy.
  • The method was trained on 114 CT image pairs, and metrics like wMAE and SSIM were used to evaluate performance, focusing on improving image quality, speed, and dose calculations compared to traditional DIR techniques.
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Background: Deep learning auto-segmentation (DLAS) models have been adopted in the clinic; however, they suffer from performance deterioration owing to the clinical practice variability. Some commercial DLAS software provide an incremental retraining function that enables users to train a custom model using their institutional data to account for clinical practice variability.

Purpose: This study was performed to evaluate and implement the commercial DLAS software with the incremental retraining function for definitive treatment of patients with prostate cancer in a multi-user environment.

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Article Synopsis
  • The study addresses the limitations of 2D kV imaging in proton therapy, which can lead to misalignment due to the difficulty in visualizing tumors obscured by bones.
  • A novel asymmetric autoencoder model leveraging vision-transformer blocks was created to reconstruct 3D CT images from 2D kV images, using data from a head and neck patient.
  • The model demonstrated effectiveness with a reconstruction speed of 2.1 seconds and accuracy with a mean absolute error of less than 40 HU, making it a promising tool for improving patient alignment in cancer treatment.
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Purpose: To assess the clinical acceptability of a commercial deep-learning-based auto-segmentation (DLAS) prostate model that was retrained using institutional data for delineation of the clinical target volume (CTV) and organs-at-risk (OARs) for postprostatectomy patients, accounting for clinical and imaging protocol variations.

Methods And Materials: CTV and OARs of 109 prostate-bed patients were used to evaluate the performance of the vendor-trained model and custom retrained DLAS models using different training quantities. Two new models for OAR structures were retrained (n = 30, 60 data sets), while separate models were trained for a new CTV structure (n = 30, 60, 90 data sets), with the remaining data sets used for testing (n = 49, 19).

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Article Synopsis
  • The NCCN Guidelines outline best practices for treating patients with Non-Small Cell Lung Cancer (NSCLC).
  • The focus is on neoadjuvant (before surgery) and adjuvant (after surgery) systemic therapy options for patients whose cancer can be surgically removed.
  • These insights aim to help healthcare providers choose effective treatment paths for eligible patients with resectable NSCLC.
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"True" malignant epidural spinal cord compression (MESCC) is used here to describe a lesion compressing of infiltrating the spinal cord associated with neurologic deficits. Radiotherapy alone is the most common treatment, for which several dose-fractionation regimens are available including single-fraction, short-course and longer-course regimens. Since these regimens are similarly effective regarding functional outcomes, patients with poor survival are optimally treated with short-course or even single-fraction radiotherapy.

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Background: Radiation necrosis (RN) is a clinically relevant complication of stereotactic radiosurgery (SRS) for intracranial metastasis (ICM) treatments. Radiation necrosis development is variable following SRS. It remains unclear if risk factors for and clinical outcomes following RN may be different for melanoma patients.

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Background/aim: Differences between radiotherapy for metastases in Northern Germany and Southern Denmark were previously identified, which led to a consensus conference.

Patients And Methods: A consensus conference was held between three centers to harmonize radiotherapy regimens for bone and brain metastases.

Results: Centers agreed on 1×8 Gy for painful bone metastases in patients with poor or intermediate survival prognoses and 10×3 Gy for favorable-prognosis patients.

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Purpose: There are limited data regarding using stereotactic body radiation therapy (SBRT) in the postprostatectomy setting. Here, we present a preliminary analysis of a prospective phase II trial that aimed to evaluate the safety and efficacy of postprostatectomy SBRT for adjuvant or early salvage therapy.

Materials And Methods: Between May 2018 and May 2020, 41 patients fulfilled inclusion criteria and were stratified into 3 groups: group I (adjuvant), prostate-specific antigen (PSA) < 0.

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The objective of the present study was to characterize the difference in 10-year carcinoid-specific survival (CSS) and disease-free survival (DFS) among patients with resected pulmonary typical carcinoid (TC) and atypical carcinoid (AC). Patients diagnosed with pulmonary carcinoid tumors (PCT) between January 1, 1997, and December 31, 2016, were identified. All patients underwent video-assisted thoracoscopic surgery or thoracotomy with thoracic lymphadenectomy.

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Background/aim: Very elderly patients irradiated for bone metastases likely benefit from individualized treatments. A specific survival score was created for this group and compared to existing instruments.

Patients And Methods: Ninety-six patients aged 80+ irradiated for bone metastases were retrospectively evaluated.

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Background/aim: Smoking and alcohol abuse may impair outcomes of chemoradiation for squamous cell head and neck cancer (SCCHN). Potential associations with toxicity, loco-regional control (LRC), and overall survival (OS) were investigated.

Patients And Methods: Ninety-six patients were retrospectively analyzed for impacts of pre-radiotherapy (pre-RT) smoking history, smoking during radiotherapy, and pre-RT alcohol abuse on toxicity, LRC, and OS.

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Background/aim: Many patients with squamous-cell carcinoma of the head and neck receive cisplatin-based chemoradiation. This retrospective study compared two chemoradiation programs to help identify the optimal cisplatin-regimen.

Patients And Methods: Forty-one patients assigned to chemoradiation with two cycles of 20 mg/m/days(d)1-5 were compared to 78 patients assigned to chemoradiation with two cycles of 25 mg/m/d1-4.

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Radiotherapy of lung cancer may cause pneumonitis that generally occurs weeks or months following therapy and can be missed. This prospective trial aimed to pave the way for a mobile application (app) allowing early diagnosis of pneumonitis. The primary goal was the identification of the optimal cut-off of a score to detect pneumonitis of grade ≥2 after radiotherapy for lung cancer.

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Purpose: Planning target volume (PTV) expansion for post-prostatectomy radiotherapy is typically ≥5 mm. Recent clinical trials have proved the feasibility of a reduced margin of 2−3 mm for treatments on MRI-linac. We aim to study the minimum PTV margin needed using iterative cone-beam CT (iCBCT) as image guidance on conventional linacs.

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Purpose: Post-operative prostate cancer patients are treated with full bladder instruction and the use of an endorectal balloon (ERB). We reassessed the efficacy of this practice based on daily image guidance and dose delivery using high-quality iterative reconstructed cone-beam CT (iCBCT). Methods: Fractional dose delivery was calculated on daily iCBCT for 314 fractions from 14 post-operative prostate patients (8 with and 6 without ERB) treated with volumetric modulated radiotherapy (VMAT).

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