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Simple Summary: To assess the impact of thoracic (low) dose irradiation on pulmonary function changes after thoracic radiotherapy (RT) data of 62 patients were analyzed. There were several significant correlations between pulmonary function and dose parameters of the lung and heart, most of which remained significant in the multivariate analysis. Objective: To assess the impact of (low) dose irradiation to the lungs and heart on the incidence of pneumonitis and pulmonary function changes after thoracic radiotherapy (RT). Methods/Material: Data of 62 patients treated with curative thoracic radiotherapy were analyzed. Toxicity data and pulmonary function tests (PFTs) were obtained before RT and at 6 weeks, at 12 weeks, and at 6 months after RT. PFTs included ventilation (e.g., vital capacity) and diffusion parameters (e.g., diffusion capacity for carbon monoxide (DLCO)). Dosimetric data of the lung and heart were extracted to assess the impact of dose on PFT changes and radiation pneumonitis (RP). Results: No statistically significant correlations between dose parameters and changes in ventilation parameters were found. There were statistically significant correlations between DLCO and low-dose parameters of the lungs (V5Gy–V30Gy (%)) and irradiation of the heart during the follow-up up to 6 months after RT, as well as a temporary correlation of the V60Gy (%) on the blood gas parameters at 12 weeks after RT. On multivariate analysis, both heart and lung parameters had a significant impact on DLCO. There was no statistically significant influence of any patient or treatment-related (including dose parameters) factors on the incidence of ≥G2 pneumonitis. Conclusion: There seems to be a lasting impact of low dose irradiation to the lung as well as irradiation to the heart on the DLCO after thoracic radiotherapy. No influence on RP was found in this analysis. [ABSTRACT FROM AUTHOR]

Objectives: Extracting the sample size from randomized controlled trials (RCTs) remains a challenge to developing better search functionalities or automating systematic reviews. Most current approaches rely on the sample size being explicitly mentioned in the abstract. The objective of this study was, therefore, to develop and validate additional approaches., Materials and Methods: 847 RCTs from high-impact medical journals were tagged with 6 different entities that could indicate the sample size. A named entity recognition (NER) model was trained to extract the entities and then deployed on a test set of 150 RCTs. The entities' performance in predicting the actual number of trial participants who were randomized was assessed and possible combinations of the entities were evaluated to create predictive models. The test set was also used to evaluate the performance of GPT-4o on the same task., Results: The most accurate model could make predictions for 64.7% of trials in the test set, and the resulting predictions were equal to the ground truth in 93.8%. GPT-4o was able to make a prediction on 94.7% of trials and the resulting predictions were equal to the ground truth in 90.8%., Discussion: This study presents an NER model that can extract different entities that can be used to predict the sample size from the abstract of an RCT. The entities can be combined in different ways to obtain models with different characteristics., Conclusion: Training an NER model to predict the sample size from RCTs is feasible. Large language models can deliver similar performance without the need for prior training on the task although at a higher cost due to proprietary technology and/or required computational power., Competing Interests: P.W. has a patent application titled “Method for detection of neurological abnormalities” outside of the submitted work. The remaining authors declare no conflict of interest., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Smarter Medicine in Radiation Oncology - current and proven treatment concepts offering the greatest possible benefit to cancer patients in clinical practice Abstract. Modern procedures in radiation therapy with respect to indication, therapy planning and implementation of shorter treatment regimens result in high local tumor control and excellent quality of life in frequent and clinically relevant disease entities including breast and prostate cancer as well as bone metastases. In the adjuvant therapy for early breast cancer, a careful comparative analysis of the use of endocrine adjuvant treatment over five years versus postoperative radiation therapy over less than four weeks may result in omission of radiation treatment in a selected patient population. Partial breast irradiation, while treating the tumor bed only in low risk situations, and hypofractionated whole breast radiotherapy for patients with a higher risk profile for local recurrence, halved treatment time compared to 10 years ago, making adjuvant radiotherapy for patients with breast cancer more convenient. In patients with localized prostate cancer, the introduction of hypofractionated treatment regimens halved the number of daily fractions and current developments point towards a one-week outpatient therapy for locally limited disease using high precision stereotactic techniques and accurate therapy planning based on multifunctional imaging. Patients with bone metastases are more and more treated with a single fraction, high precision stereotactic radiotherapy (radiosurgery) with high analgesic potential and achieving long lasting local tumor control. These modern, often significantly shorter, radiotherapy treatment regimens not only result in an excellent treatment response and better quality of life for patients, but also include a better utilization of radiotherapy resources needing less treatment machines and thus helping to reduce costs in the Swiss healthcare system.

Modern Treatment Concepts in Radiation Oncology Abstract. Radiotherapy is a widely used form of therapy that is used in half of all cancer patients. Advances in understanding the fundamentals of tumor and radiation biology, in medical physics and computer science as well as technical developments have continuously improved the effectiveness and healing success of radiotherapy. Patients benefit from new treatment concepts such as hypofractionated radiotherapy for breast and prostate cancer, leading to a reduction in the duration of treatment by several weeks. Selected patients with early stages of breast cancer can be treated with partial breast irradiation with focus on the tumor bed after breast conserving surgery increasing tolerability and comfort. High dose stereotactic radiotherapy over five to six sessions of radiation or only one fraction (radiosurgery) have expanded treatment options for common tumor entities leading to long-lasting tumor control resulting in improved survival and quality of life for those affected. In early lung cancer stereotactic radiotherapy is an alternative to primary tumor surgery. For patients with oligometastatic tumor disease stereotactic radiotherapy allows a curative approach by effectively treating metastases. In patients with brain metastases whole-brain irradiation is replaced by stereotactic irradiation of the individual metastases with fewer side effects. Recently, promising results for improved tumor control with the combination of radiotherapy and immunotherapy have been presented. Radioimmunotherapy represents a new therapy combination. However, final assessment of its efficacy and side effects profile is still missing. In order to gain therapeutic certainty, further prospective study data are necessary.