Radiotherapy and Oncology最新文献

Purpose: To compare the cost-effectiveness of a nurse-led sexual rehabilitation intervention with standard care in women treated with external beam radiotherapy, with or without brachytherapy, for gynaecological cancers.

Methods: Eligible women were randomly assigned to the intervention (n = 112) or standard care (n = 117). Primary endpoint was sexual functioning at 12-months post-radiotherapy, assessed by the Female Sexual Function Index (FSFI). Nurses documented frequency and duration of intervention sessions, patients reported sexual healthcare and functioning at 1, 3, 6, and 12-months. Costs were related to quality-adjusted-life-years (QALYs) using the EuroQol-5 Dimensions and visual analogue scale, and to sexual functioning improvement at 12-months. T-tests compared mean QALYs and costs, with multiple imputation for missing data.

Results: The nurse-led intervention added €172 per patient, including training costs and 4-5 sessions. Other sexual rehabilitation costs were higher in the standard care group (€107 versus €141, p = 0.02). Total costs were €478 for the intervention group and €357 for standard care (p = 0.03). Valued at €20.000 per QALY, the intervention was 60 %-70 % likely to be cost-effective and less than 50 % likely to be cost-effective in terms of improved sexual functioning.

Conclusion: The nurse-led sexual rehabilitation intervention is not more cost-effective than standard care, however with low costs in both groups. Since costs for standard care were slightly lower, it is preferred from a health-economic perspective. It includes detailed patient education and a dedicated sexual rehabilitation session within the first three months post-radiotherapy, which is better provided at lower cost by a trained nurse.

Background: Radiotherapy is essential for treating head and neck cancer but often leads to severe toxicity. Traditional predictors include anatomical location, tumor extent, and dosimetric data. Recently, biomarkers have been explored to better predict and understand toxicity. This review aims to summarize the current literature, assess data quality, and guide future research.

Methods: Two reviewers independently screened EMBASE and PubMed for studies published between 2010 and 2023. Endpoints were dermatitis, mucositis, sticky saliva/xerostomia, and dysphagia. Statistical analysis was performed using R, and bias assessed via a modified QUIPS questionnaire. Pathway analysis was conducted using gProfiler. The study adhered to PRISMA and COSMOS-E guidelines and was registered in the PROSPERO database (#CRD42023361245).

Results: Of 2,550 abstracts, 69 publications met the inclusion criteria. These studies involved a median of 81 patients, primarily male (75 %), with common primary tumors in the nasopharynx (32 %) and oropharynx (27 %). Most patients (84 %) had advanced disease (stage III/IV). The most frequently studied biomarkers were DNA-based single-nucleotide polymorphisms (SNPs, 59 %), salivary proteins (13 %), and bacteria (10 %). Ten statistically-significant biomarkers (all SNPs) in low-bias publications were identified, particularly in DNA repair and cell detoxification pathways. Data quality was often poor and few validation studies were present in the dataset.

Conclusion: This review provides an overview of the research landscape, highlights research gaps and provides recommendations for future research directions. We identified several potential biomarkers, particularly in DNA repair pathways, that align with current understanding of radiation-induced cell damage. However, the overall data quality was poor, with key clinical variables often missing. Overall, rigorous standardization of reporting, validation studies and multi-center collaborations to increase study power and sample sizes are necessary to build high-level evidence for clinical application.

Background and purpose: Fast, high-quality deep learning (DL) prediction of patient-specific 3D dose distributions can enable instantaneous treatment planning (IP), in which the treating physician can evaluate the dose and approve the plan immediately after contouring, rather than days later. This would greatly benefit clinical workload, patient waiting times and treatment quality. IP requires that predicted dose distributions closely match the ground truth. This study examines how training dataset size and model size affect dose prediction accuracy for Erasmus-iCycle GT plans to enable IP.

Materials and methods: For 1250 prostate patients, dose distributions were automatically generated using Erasmus-iCycle. Hierarchically Densely Connected U-Nets with 2/3/4/5/6 pooling layers were trained with datasets of 50/100/250/500/1000 patients, using a validation set of 100 patients. A fixed test set of 150 patients was used for evaluations.

Results: For all model sizes, prediction accuracy increased with the number of training patients, without levelling off at 1000 patients. For 4-6 level models with 1000 training patients, prediction accuracies were high and comparable. For 6 levels and 1000 training patients, the median prediction errors and interquartile ranges for PTV V_95%, rectum V_75Gy and bladder V_65Gy were 0.01 [-0.06,0.15], 0.01 [-0.20,0.29] and -0.02 [-0.27,0.27] %-point. Dose prediction times were around 1.2 s.

Conclusion: Although even for 1000 training patients there was no convergence in obtained prediction accuracy yet, the accuracy for the 6-level model with 1000 training patients may be adequate for the pursued instantaneous planning, which is subject of further research.

Introduction: Patients with a head and neck (HN) cancer undergoing radiotherapy risk critical weight loss and oral intake reduction leading to enteral nutrition. We developed a predictive model for the need for enteral nutrition during radiotherapy in this setting. Its performances were reported on a real-world multicentric cohort.

Material and methods: Two models were trained on a prospective monocentric cohort of 230 patients. The first model predicted an outcome combining severe or early fast weight loss, or severe oral intake impairment (grade 3 anorexia or dysphagia or the prescription of enteral nutrition). The second outcome only combined oral intake impairment criteria. We trained a gradient boosted tree with a nested cross validation for Bayesian optimization on a prospective cohort and predictive performances were reported on the external multicentric real-world cohort of 410 patients from 3 centres. Predictions were explainable for each patient using Shapley values.

Results: For the first and second outcome, the model yielded a ROC curve AUC of 81 % and 80%, an accuracy of 77 % and 77 %, a positive predictive value of 77 % and 72 %, a specificity of 78 % and 79 % and a sensitivity of 75 % and 73 %. The negative predictive value was 80 % and 80 %. For each patient, the underlying Shapley values of each clinical predictor to the prediction could be displayed. Overall, the most contributing predictor was concomitant chemotherapy.

Conclusion: Our predictive model yielded good performance on a real life multicentric validation cohort to predict the need for enteral nutrition during radiotherapy for HN cancers.

Our previous study on BRCA breast cancer carriers disclosed a high local recurrence (LR) rate in patients who underwent skin sparing (SSM) or nipple sparing mastectomy (NSM) without postoperative radiation therapy (RT), compared to breast conservation surgery or mastectomy with RT. The current study compares the LR rates in BRCA versus non BRCA carriers after SSM/NSM in relation the receipt of RT.

Methods: The study was approved by the institutional ethics committee. Data collected included patient- (e.g., age), tumour- (e.g., subtype, stage), and treatment-related factors and outcomes. LR was defined as ipsilateral chest wall recurrence. P value ≤ 0.05 was considered statistically significant.

Results: A total of 255 patients (127 BRCA, 128 non-BRCA) was included. Patients who did not receive RT had an earlier disease stage (most N0). No differences were found for LR rate in non-BRCA versus BRCA groups per involved breast and per patient. Comparing the subgroup of patients who did not receive RT, there were no statistically significant differences in LR between non-BRCA versus BRCA (p-value > 0.05). Similarly, there were no significant differences in LR for the subgroup of patients who did receive RT (p-value > 0.05). Regardless of BRCA status, patients who received RT had significantly lower LR rates. No differences in overall survival were noted between the groups.

Conclusions: Our results confirm high LR rates after SSM and NSM in patients who are not treated with RT, independent of BRCA-status. This mandate further investigation, as previous studies did not show a benefit of postmastectomy RT in the early breast cancer stage of those patients.

Background: While SBRT to NSBM has become common, particularly in the oligometastatic population, the approach to treating non-spine bone metastases (NSBM) with stereotactic body radiotherapy (SBRT) varies widely across institutions and clinical trial protocols. We present a comprehensive systematic review of the literatures to inform practice recommendations on behalf of the International Stereotactic Radiosurgery Society (ISRS).

Methods: A systematic literature review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies with at least 10 patients receiving SBRT for NSBM were identified and meta-analyses were completed to estimate pooled local control and overall survival rates. Published guidelines on NSBM SBRT were reviewed and consolidated.

Results: There were 25 studies included for qualitative analysis and 18 studies for quantitative analysis consisting of 13 retrospective studies, 2 non-randomized prospective studies, 1 randomized phase 2/3 trial, and a subgroup analysis of a phase I trial. The pooled local control rates at 1 and 2 years were 95 % (95 % CI: 89 %-98 %) and 94 % (95 % CI: 86 %-98 %), respectively. Pooled overall survival rates at 1 year and 2 years were 84 % (95 % CI: 73 %-91 %) and 81 % (95 % CI: 45 %-95 %), respectively. Consensus was reached on recommendations to inform treatment simulation, target delineation, dose fractionation, and anatomic site-specific recommendations.

Conclusion: We present ISRS-endorsed consensus recommendations to inform best practice of SBRT to NSBM, which we found to be efficacious and associated with low rates of adverse events.

Background: Radiofrequency ablation (RFA) is an emerging treatment option for small, low-risk papillary thyroid carcinoma (PTC). This systematic review and meta-analysis aimed to evaluate and compare the efficacy and safety profiles of RFA for primary T1a vs. T1b PTC.

Methods: PubMed, Web of Science, Embase, Google Scholar, and ScienceDirect databases were searched from inception to February 14, 2024 for studies reporting outcomes of RFA for T1a vs. T1b PTC with no known nodal or distant metastasis. The primary outcomes assessed were pooled proportions of tumor disappearance, volume reduction, complications, and recurrence.

Results: Twenty studies with 6,613 RFA-treated PTC nodules were included. The median age was 44 years, and the average follow-up was 36.4 months. The mean tumor volume and diameter were 168.9 mm³ and 0.69 cm, respectively. The pooled tumor disappearance rate was 94.3 % for all tumors, with rates of 96.1 % for T1a and 76.7 % for T1b lesions (p = 0.05). The disappearance rate increased from 61.8 % at 12 months to 91.5 % at 48 months post-RFA. The overall volume reduction rate (VRR) was 99.4 % for both T1a and T1b tumors, increasing from 36.8 % at 1 month to 99.6 % at 48 months. Tumor progression occurred in only 1.33 % of the cases overall, with low recurrence rates in both T1a (1.11 %) and T1b (4.21 %) lesions. New cancer foci and lymph node metastases were rare, observed in 0.81 % and 0.20 % of cases, respectively. The overall complication rate was 1.71 %, with transient voice change (0.44 %) and neck pain (0.30 %) being the most common.

Conclusions: RFA is a safe and effective minimally invasive treatment option for both T1a and T1b PTC, with high tumor disappearance and volume reduction rates and low complication and recurrence rates. The low progression rates in both tumor sizes suggest that RFA is a promising alternative to surgery for selected low-risk PTC patients. Prospective studies with standardized protocols are warranted to validate these findings.