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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 793 records · Page 44
All sourcesNASA NTRSDOE OSTI
DOE OSTI2017

Patterns of Relapse in High-Risk Neuroblastoma Patients Treated With and Without Total Body Irradiation

Purpose: External beam radiation therapy to initial sites of disease may influence relapse patterns in high-risk neuroblastoma. However, the effect of systemic irradiation by use of total body irradiation (TBI) on anatomic patterns of relapse has not previously been investigated. Methods and Materials: We retrospectively analyzed patients receiving definitive treatment of high-risk neuroblastoma with subsequent relapse in bony metastatic sites, with a date of relapse between January 1, 1997, and December 31, 2012. Anatomic sites of disease, defined by metaiodobenzylguanidine (MIBG) avidity, were compared at diagnosis and at first relapse. The Fisher exact test was performed to compare relapse in initially involved sites between patients treated with and without TBI. Results: Seventy-four patients with a median age at diagnosis of 3.5 years (range, 0.3-15.3 years) had relapse in 227 sites of MIBG-avid metastatic disease, with a median time to relapse of 1.8 years. Of the 227 sites of first relapse, 154 sites (68%) were involved at diagnosis. When we compared relapse patterns in patients treated with and without TBI, 12 of 23 patients (52%) treated with TBI had relapse in ≥1 previously MIBG-avid site of disease whereas 40 of 51 patients (78%) treated without TBI had relapse in ≥1 previously MIBG-avid site of disease (P=.03). Conclusions: Patients treated with systemic irradiation in the form of TBI were significantly less likely to have relapse in prior sites of disease. These findings support further investigation into the role of radiopharmaceutical therapies in curative multimodality therapy.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2017

Continuous Activity Monitoring During Concurrent Chemoradiotherapy

Purpose: To perform a prospective trial testing the feasibility and utility of acquiring activity data as a measure of health status during concurrent chemoradiotherapy. Methods and Materials: Ambulatory patients who were planned for treatment with concurrent chemoradiotherapy with curative intent for cancers of the head and neck, lung, or gastrointestinal tract were provided with activity monitors before treatment initiation. Patients were asked to wear the devices continuously throughout the radiation therapy course. Step count data were downloaded weekly during radiation therapy and 2 and 4 weeks after radiation therapy completion. The primary objective was to demonstrate feasibility, defined as collection of step counts for 80% of the days during study subjects' radiation therapy courses. Secondary objectives included establishing step count as a dynamic predictor of unplanned hospitalization risk. Results: Thirty-eight enrolled patients were treated with concurrent chemoradiotherapy. Primary diagnoses included head and neck cancer (n=11), lung cancer (n=13), and a variety of gastrointestinal cancers (n=14). Step data were collected for 1524 of 1613 days (94%) during patients' radiation therapy courses. Fourteen patients were hospitalized during radiation therapy or within 4 weeks of radiation therapy completion. Cox regression modeling demonstrated a significant association between recent step counts (3-day average) and hospitalization risk, with a 38% reduction in the risk of hospitalization for every 1000 steps taken each day (hazard ratio 0.62, 95% confidence interval 0.46-0.83, P=.002). Inferior quality of life scores and impaired performance status were not associated with increased hospitalization risk. Conclusion: Continuous activity monitoring during concurrent chemoradiotherapy is feasible and well-tolerated. Step counts may serve as powerful, objective, and dynamic indicators of hospitalization risk.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2017

Particle Therapy Using Protons or Carbon Ions for Unresectable or Incompletely Resected Bone and Soft Tissue Sarcomas of the Pelvis

Purpose: To retrospectively analyze the treatment outcomes of particle therapy using protons or carbon ions for unresectable or incompletely resected bone and soft tissue sarcomas (BSTSs) of the pelvis. Methods and Materials: From May 2005 to December 2014, 91 patients with nonmetastatic histologically proven unresectable or incompletely resected pelvic BSTSs underwent particle therapy with curative intent. The particle therapy used protons (52 patients) or carbon ions (39 patients). All patients received a dose of 70.4 Gy (relative biologic effectiveness) in 32 fractions (55 patients) or 16 fractions (36 patients). Results: The median patient age was 67 years (range 18-87). The median planning target volume (PTV) was 455 cm{sup 3} (range 108-1984). The histologic type was chordoma in 53 patients, chondrosarcoma in 14, osteosarcoma in 10, malignant fibrous histiocytoma/undifferentiated pleomorphic sarcoma in 5, and other in 9 patients. Of the 91 patients, 82 had a primary tumor and 9 a recurrent tumor. The median follow-up period was 32 months (range 3-112). The 3-year rate of overall survival (OS), progression-free survival (PFS), and local control was 83%, 72%, and 92%, respectively. A Cox proportional hazards model revealed that chordoma histologic features and a PTV of ≤500 cm{sup 3} were significantly associated with better OS, and a primary tumor and PTV of ≤500 cm{sup 3} were significantly associated with better PFS. Ion type and number of fractions were not significantly associated with OS, PFS, or local control. Late grade ≥3 toxicities were observed in 23 patients. Compared with the 32-fraction protocol, the 16-fraction protocol was associated with significantly more frequent late grade ≥3 toxicities (18 of 36 vs 5 of 55; P<.001). Conclusions: Particle therapy using protons or carbon ions was effective for unresectable or incompletely resected pelvic BSTS, and the 32-fraction protocol was effective and relatively less toxic. Nevertheless, a longer follow-up period is needed to confirm these results.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2017

Treatment-Related Toxicity in Patients With Early-Stage Non-Small Cell Lung Cancer and Coexisting Interstitial Lung Disease: A Systematic Review

Purpose: Definitive treatment for patients with early-stage non-small cell lung cancer (ES-NSCLC) is usually well tolerated. Patients with ES-NSCLC and coexisting interstitial lung disease (ILD) are at increased risk of severe treatment-related toxicity after definitive therapy. The main objective of this systematic review is to provide a pooled estimation of treatment-related mortality and ILD-specific toxicity in this population of patients and to identify trends for further study. Methods and Materials: The MEDLINE and Embase databases were queried from respective dates of inception to January 2016. Studies that included patients who underwent definitive treatment for ES-NSCLC not combined with other treatments were included. Patients with oligometastases who were treated with aggressive palliation were included if it did not constitute the majority of patients in a specific study. The results were summarized with weighted proportions according to the sample size of individual studies. Results: Overall, 3056 records were reviewed and 50 journal articles were included in the abstraction. The weighted proportion of treatment-related mortality (and ILD-specific toxicity) in primarily medically inoperable patients was as follows: stereotactic ablative radiation therapy (SABR) 15.6% (25%), particle beam therapy 4.3% (18.2%) and radiofrequency ablation (RFA) 8.7% (25%). The data for medically operable patients who underwent surgery were extracted for reference. Treatment-related mortality and ILD-specific toxicity were 2.2% and 12%, respectively, in the surgical population. On analysis of reported SABR dose parameters, V20 ≤ 6.5% and mean lung dose ≤4.5 Gy were found to be metrics associated with reduced mortality. Conclusion: A consistently high level of treatment-related mortality and ILD-specific toxicity was observed in primarily medically inoperable patients treated with SABR, particle beam therapy, and RFA. For these patients, curative treatment should be considered in the context of the high toxicity rates and overall poor prognosis. Stringent radiation dosimetric parameters may result in reduced toxicity.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2017

High-Dose-Rate Brachytherapy in the Management of Operable Rectal Cancer: A Systematic Review

Purpose: To evaluate the role of high-dose-rate endorectal brachytherapy (HDREBT) in the preoperative and definitive management of operable rectal cancer in terms of clinical outcomes and toxicities using a systematic review. Methods and Materials: A review of published articles from January 1990 to December 2016 was conducted using the PubMed, Embase, and Scopus databases using the search terms “rectal” or “rectum” in combination with “brachytherapy,” “high dose rate,” “HDR,” and “endorectal.” Additional publications were identified by scanning references. Only studies published in English reporting clinical outcomes with ≥30 patients treated with HDREBT were included. Results: The search identified 1688 articles, of which 22 met our inclusion criteria. Twelve studies were included in this systematic review. Following preoperative HDREBT with chemoradiation therapy (CRT), the pathologic complete response (pCR) rate ranged between 18% and 31% (weighted mean rate, 22.2%); R0 resection rate, between 80% and 99% (weighted mean rate, 95.5%); and sphincter-preservation rate, between 29% and 54% (weighted mean rate, 46.4%). The weighted mean 2-year progression-free survival and overall survival (OS) rates were 68.1% and 81.5%, respectively. After preoperative HDREBT alone, the pCR rate ranged between 10.4% and 27% (weighted mean rate, 23.8%), the R0 rate was 96.5% (1 study), and the sphincter-preservation rate ranged between 53.8% and 75.8% (weighted mean rate, 59.4%). The weighted mean 5-year progression-free survival and OS rates were 66.6% and 70.8%, respectively. There was only 1 study of HDREBT for nonsurgical management of rectal cancer, which reported a 2-year OS rate of 100%. Conclusions: Preoperative HDREBT either alone or in combination with CRT may result in a better pCR but may not necessarily translate into better survival, which is similar to outcomes seen following preoperative CRT alone. There were significant variations across studies in terms of patient selection, treatment approaches, and evaluation of clinical outcomes, suggesting the need for an international consensus on the dosimetric parameters and techniques of HDREBT, timing and methods of response assessment, definitions and assessment of toxicities, and optimal timing of surgery before further prospective studies. Future studies should include evaluation of the role of HDREBT in the nonsurgical curative treatment of screen-detected early cancers and organ preservation in lower rectal cancers.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2018

Role of Radiation Therapy in Patients With Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Guidelines from the International Lymphoma Radiation Oncology Group

Approximately 30% to 40% of patients with diffuse large B-cell lymphoma (DLBCL) will have either primary refractory disease or relapse after chemotherapy. In transplant-eligible patients, those with disease sensitive to salvage chemotherapy will significantly benefit from high-dose therapy with autologous stem cell transplantation. The rationale for considering radiation therapy (RT) for selected patients with relapsed/refractory DLBCL as a part of the salvage program is based on data regarding the patterns of relapse and retrospective series showing improved local control and clinical outcomes for patients who received peritransplant RT. In transplant-ineligible patients, RT can provide effective palliation and, in selected cases, be administered with curative intent if the relapsed/refractory disease is localized. We have reviewed the indications for RT in the setting of relapsed/refractory DLBCL and provided recommendations regarding the optimal timing of RT, dose fractionation scheme, and treatment volume in the context of specific case scenarios.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2018

Implications of Pathologic Complete Response Beyond Mediastinal Nodal Clearance With High-Dose Neoadjuvant Chemoradiation Therapy in Locally Advanced, Non-Small Cell Lung Cancer

To determine, in a retrospective analysis of a large cohort of stage III non-small cell lung cancer patients treated with curative intent at our institution, whether having a pathologic complete response (pCR) influenced overall survival (OS) or freedom from recurrence (FFR) in patients who underwent definitive (≥60 Gy) neoadjuvant doses of chemoradiation (CRT).

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2018

Acute Hospital Encounters in Cancer Patients Treated With Definitive Radiation Therapy

Acute hospital encounters in patients undergoing curative-intent radiation therapy (RT) have not previously been well characterized. Understanding acute visit patterns among RT patients yields insights for risk assessments and cancer urgent care clinics that could decrease hospitalization rates and reduce health care costs. This study aims to identify patient, disease-site, and treatment characteristics associated with emergency department visits and inpatient admissions in cancer patients treated with definitive RT.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2018

Development and Preliminary Evaluation of a Murine Model of Chronic Radiation-Induced Proctitis

Radiotherapy (RT) is commonly used to treat most pelvic malignancies. While treatment is often effective, curative radiation doses to the rectum can result in chronic radiation-induced proctitis, which is characterized by diarrhea, tenesmus, and/or rectal bleeding, recently termed pelvic radiation disease. An animal model of chronic radiation-induced proctitis would be useful to test both preventative and therapeutic strategies to limit this morbidity but has been elusive because of the high rodent mortality associated with acute bowel RT injury. The objective of this research was to develop a novel mouse model of chronic radiation-induced proctitis using advanced technology.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2021

Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer

Natural language processing (NLP), which aims to convert human language into expressions that can be analyzed by computers, is one of the most rapidly developing and widely used technologies in the field of artificial intelligence. Natural language processing algorithms convert unstructured free text data into structured data that can be extracted and analyzed at scale. In medicine, this unlocking of the rich, expressive data within clinical free text in electronic medical records will help untap the full potential of big data for research and clinical purposes. Recent major NLP algorithmic advances have significantly improved the performance of these algorithms, leading to a surge in academic and industry interest in developing tools to automate information extraction and phenotyping from clinical texts. Thus, these technologies are poised to transform medical research and alter clinical practices in the future. Radiation oncology stands to benefit from NLP algorithms if they are appropriately developed and deployed, as they may enable advances such as automated inclusion of radiation therapy details into cancer registries, discovery of novel insights about cancer care, and improved patient data curation and presentation at the point of care. However, challenges remain before the full value of NLP is realized, such as the plethora of jargon specific to radiation oncology, nonstandard nomenclature, a lack of publicly available labeled data for model development, and interoperability limitations between radiation oncology data silos. Successful development and implementation of high quality and high value NLP models for radiation oncology will require close collaboration between computer scientists and the radiation oncology community. Here, we present a primer on artificial intelligence algorithms in general and NLP algorithms in particular; provide guidance on how to assess the performance of such algorithms; review prior research on NLP algorithms for oncology; and describe future avenues for NLP in radiation oncology research and clinics.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2021

Modern Radiation Therapy for Extranodal Nasal-Type NK/T-cell Lymphoma: Risk-Adapted Therapy, Target Volume, and Dose Guidelines from the International Lymphoma Radiation Oncology Group

In the multidisciplinary management of early-stage extranodal natural killer/T-cell lymphoma, nasal type (ENKTCL), with curative intent, radiation therapy is the most efficacious modality and is an essential component of a combined-modality regimen. In the past decade, utilization of upfront radiation therapy and non–anthracycline-based chemotherapy has improved treatment and prognosis. This guideline mainly addresses the heterogeneity of clinical features, principles of risk-adapted therapy, and the role and appropriate design of radiation therapy. Radiation therapy methods (including target volume definition, dose and delivery methods) are crucial for optimizing cure for patients with early-stage ENKTCL. The application of the principles of involved site radiation therapy in this lymphoma entity often leads to a more extended clinical target volume (CTV) than in other lymphoma types because it usually presents with primary tumor invasion, multifocal lesions, or extensive submucosal infiltration beyond the macroscopic disease. The CTV varies across different primary sites and is classified mainly into nasal, nonnasal upper aerodigestive tract (UADT), and extra-UADT entities. This review is a consensus of the International Lymphoma Radiation Oncology Group regarding the approach to radiation therapy, target-volume definition, optimal dose, and dose constraints in ENKTCL treatment.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2021

Impact of Pelvic Radiation Therapy for Prostate Cancer on Global Metabolic Profiles and Microbiota-Driven Gastrointestinal Late Side Effects: A Longitudinal Observational Study

Radiation therapy to the prostate and pelvic lymph nodes (PLNRT) is part of the curative treatment of high-risk prostate cancer. Yet, the broader influence of radiation therapy on patient physiology is poorly understood. We conducted comprehensive global metabolomic profiling of urine, plasma, and stools sampled from patients undergoing PLNRT for high-risk prostate cancer.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2023

Comprehensive analysis of common polymers using hyphenated TGA-FTIR-GC/MS and Raman spectroscopy towards a database for micro- and nanoplastics identification, characterization, and quantitation

Environmental contamination by micro- and nanoplastics (MNPs) is well documented with potential for their increased accumulation globally. Growing public concern over environmental, ecological, and human exposure to MNPs has led to exponential increase in publications, news articles, and reports. Significant knowledge gap exists in standardized analytical methods for the identification and quantification of MNPs from real world environmental samples. Here, in this study, we report comprehensive datasets utilizing thermogravimetric analyzer (TGA) coupled to a Fourier transformed infrared spectrometer (FTIR) and a gas chromatography/mass spectrometer (GC/MS) with corresponding Raman spectral data for the most common polymers documented to be present in the environment (35 plastics of 12 polymer types), to serve as a base line reference for the identification and quantitation of MNPs. Various parameters for TGA-FTIR-GC/MS data acquisition were optimized. Commercial consumer plastic product compositions were identified using this analytical database. Case studies to showcase the utility of the method for polymer mixtures analysis is included. This dataset would serve towards the development of a collaborative, global, comprehensive, and curated public database for the identification of various MNPs and mixtures.

77 NANOSCIENCE AND NANOTECHNOLOGY↗
DOE OSTI2026

Agnostic capture of pathogens for the detection and diagnostics of emerging threats

The continued emergence of pathogens, whether novel, re-emerging, or engineered, poses a persistent global biosecurity and public health challenge. Recent outbreaks, including COVID-19, Lassa fever, Marburg virus, mpox, and avian influenza, underscore the urgent need for robust systems that enable rapid surveillance, early diagnosis, and timely countermeasures before widespread human transmission occurs. In this article, we focus on early detection technologies and systematically evaluate current diagnostic and sensing modalities. We highlight sequencing and spectroscopy as two complementary approaches capable of providing broad, agnostic detection and rich biological insight. Our analysis emphasizes that scientific innovation alone is insufficient: effective preparedness also requires improved data curation, integration, and sharing to build AI-ready resources that accelerate future responses. We argue for coordinated advances in both technological capabilities and supporting infrastructure to enable the rapid identification and characterization of emerging pathogens and to fully leverage modern science against evolving infectious threats.

Environmental health↗
DOE OSTI2026

scPlantAnnotate: an accurate and robust transformer-based model for plant cell type annotation

Accurate cell type annotation remains a major bottleneck in plant single-cell RNA sequencing (scRNA-seq), where existing tools are often adapted from animal studies and perform sub-optimally on plant data. The lack of plant-specific computational frameworks limits the construction of plant cell atlases and downstream biological discovery. We develop and evaluate scPlantAnnotate, a Transformer-based reference annotation framework tailored for plant scRNA-seq data, and benchmark it against state-of-the-art deep learning and conventional methods across multiple plant species. Species-specific scPlantAnnotate models were trained using curated datasets from Arabidopsis thaliana, Zea mays, Oryza sativa, and Glycine max. We compared scPlantAnnotate with leading baselines under both standard random-split evaluation and a more stringent leave-one-dataset-out setting, which tests robustness to completely unseen datasets and tissue types. scPlantAnnotate consistently outperforms existing approaches across all four species under random-split evaluation. In the leave-one-dataset-out setting for A. thaliana, where performance drops markedly for all methods due to strong batch effects and dataset heterogeneity, scPlantAnnotate nonetheless achieves the highest Accuracy, Macro-F1, Balanced Accuracy, and Macro-AUROC on average and ranks first on most held-out datasets. These results demonstrate improved robustness to dataset shifts, a critical yet underexplored challenge in plant scRNA-seq analysis. A freely accessible web server enables users to annotate their own datasets using pretrained models. scPlantAnnotate provides a plant-specific, Transformer-based framework for single-cell annotation that delivers state-of-the-art performance and enhanced robustness to unseen datasets. By addressing limitations of existing tools and enabling scalable reference-based annotation, scPlantAnnotate supports the development of comprehensive plant cell atlases and facilitates broader use of single-cell genomics in plant biology.

Bioinformatics↗