Radiotherapy with 15 × 2.633 Gy vs. 20 × 2.0 Gy in Patients with Malignant Spinal Cord Compression and Favorable Survival Prognoses: A Secondary Analysis of the RAMSES-01 Trial.

Many patients with malignant spinal cord compression (MSCC) who are not candidates for neurosurgery receive radiotherapy alone. This study compared 15 × 2.633 Gy over three weeks to 20 × 2.0 Gy over four weeks in patients with favorable survival prognoses. The outcomes of 34 patients treated with 15 × 2.633 Gy (equivalent dose 41.6 Gy10) in the RAMSES-01 trial were compared to 239 patients from an existing database receiving 20 × 2.0 Gy using propensity-score-adjusted Cox and logistic regression models. All patients had favorable survival prognoses. Endpoints included local progression-free survival (LPFS), improvement of motor function, post-treatment ambulatory status, and overall survival (OS). After propensity score adjustment, the 12-month rates of LPFS and OS were 98.1% (RAMSES-01 cohort) vs. 91.6% (p = 0.265) and 79.1% vs. 82.2% (p = 0.704), respectively. Regarding improvement of motor function, 15 × 2.633 Gy appeared superior (p = 0.073). No significant difference was observed regarding ambulatory status (p = 0.822). The three-week regimen for MSCC has similar outcomes and reduces treatment time when compared to a four-week regimen.

Achieving accurate prostate auto-segmentation on CT in the absence of MR imaging.

BACKGROUND: Magnetic resonance imaging (MRI) is considered the gold standard for prostate segmentation. Computed tomography (CT)-based segmentation is prone to observer bias, potentially overestimating the prostate volume by âˆ¼ 30 % compared to MRI. However, MRI accessibility is challenging for patients with contraindications or in rural areas globally with limited clinical resources. PURPOSE: This study investigates the possibility of achieving MRI-level prostate auto-segmentation accuracy using CT-only input via a deep learning (DL) model trained with CT-MRI registered segmentation. METHODS AND MATERIALS: A cohort of 111 definitive prostate radiotherapy patients with both CT and MRI images was retrospectively grouped into training (n = 37) and validation (n = 20) (where reference contours were derived from CT-MRI registration), and testing (n = 54) sets. Two commercial DL models were benchmarked against the reference contours in the training and validation sets. A custom DL model was incrementally retrained using the training dataset, quantitatively evaluated on the validation dataset, and qualitatively assessed by two different physician groups on the validation and testing datasets. A contour quality assurance (QA) model, established from the proposed model on the validation dataset, was applied to the test group to identify potential errors, confirmed by human visual inspection. RESULTS: Two commercial models exhibited large deviations in the prostate apex with CT-only input (median: 0.77/0.78 for Dice similarity coefficient (DSC), and 0.80 cm/0.83 cm for 95 % directed Hausdorff Distance (HD95), respectively). The proposed model demonstrated superior geometric similarity compared to commercial models, particularly in the apex region, with improvements of 0.05/0.17 cm and 0.06/0.25 cm in median DSC/HD95, respectively. Physician evaluation on MRI-CT registration data rated 69 %-78 % of the proposed model's contours as clinically acceptable without modifications. Additionally, 73 % of cases flagged by the contour quality assurance (QA) model were confirmed via visual inspection. CONCLUSIONS: The proposed incremental learning strategy based on CT-MRI registration information enhances prostate segmentation accuracy when MRI availability is limited clinically.

Online Adaptive Proton Therapy Facilitated by Artificial Intelligence-Based Autosegmentation in Pencil Beam Scanning Proton Therapy.

PURPOSE: Online adaptive proton therapy (oAPT) is essential to address interfractional anatomical changes in patients receiving pencil beam scanning proton therapy. Artificial intelligence (AI)-based autosegmentation can increase the efficiency and accuracy. Linear energy transfer (LET)-based biological effect evaluation can potentially mitigate possible adverse events caused by high LET. New spot arrangement based on the verification computed tomography (vCT) can further improve the replan quality. We propose an oAPT workflow that incorporates all these functionalities and validate its clinical implementation feasibility with patients with prostate cancer. METHODS AND MATERIALS: AI-based autosegmentation tool AccuContour (Manteia) was seamlessly integrated into oAPT. Initial spot arrangement tool on the vCT for reoptimization was implemented using raytracing. An LET-based biological effect evaluation tool was developed to assess the overlap region of high dose and high LET in selected organs at risk. Eleven patients with prostate cancer were retrospectively selected to verify the efficacy and efficiency of the proposed oAPT workflow. The time cost of each component in the workflow was recorded for analysis. RESULTS: The verification plan showed significant degradation of the clinical target volume coverage and rectum and bladder sparing due to the interfractional anatomical changes. Reoptimization on the vCT resulted in great improvement of the plan quality. No overlap regions of high dose and high LET distributions were observed in bladder or rectum in replans. Three-dimensional γ analyses in patient-specific quality assurance confirmed the accuracy of the replan doses before delivery (γ passing rate, 99.57% ± 0.46%) and after delivery (98.59% ± 1.29%). The robustness of the replans passed all clinical requirements. The average time for the complete execution of the workflow was 9.12 ± 0.85 minutes, excluding manual intervention time. CONCLUSIONS: The AI-facilitated oAPT workflow demonstrated to be both efficient and effective by generating a replan that significantly improved the plan quality in prostate cancer treated with pencil beam scanning proton therapy.

Can Platelet-to-Lymphocyte Ratio (PLR) and Neutrophil-to-Lymphocyte Ratio (NLR) Help Predict Outcomes of Patients With Recurrent Glioblastoma?

BACKGROUND/AIM: In patients with recurrent glioblastoma, very little data are available regarding the prognostic value of platelet-to-lymphocyte (PLR) and neutrophil-to-lymphocyte (NLR) ratios. This study investigated potential associations between PLR or NLR and treatment outcomes. PATIENTS AND METHODS: PLR and NLR at diagnosis of recurrence plus 10 additional characteristics were retrospectively analyzed for associations with progression-free survival (PFS) and overall survival (OS) in 75 patients with recurrent glioblastoma. RESULTS: On multivariate analyses, maximal cumulative diameter of recurrent lesion(s) <40 mm (p=0.015) and systemic therapy (p<0.001) were associated with improved PFS. On multivariate analysis of OS, improved outcomes were significantly associated with PLR ≤150 (p=0.029), maximal cumulative diameter <40 mm (p=0.030), and systemic therapy (p=0.010). CONCLUSION: In addition to other characteristics, PLR at the time of recurrence was identified as an independent predictor of OS in patients with recurrent glioblastoma. PLR may be useful when designing personalized treatment approaches or clinical trials.

The Predictive Value of Different Glasgow Prognostic Scores and the LabBM Score for Patients With Recurrent Glioblastoma.

BACKGROUND/AIM: The prognostic value of scoring instruments was described for newly diagnosed glioblastoma. This study investigated five instruments in patients with recurrent tumors. PATIENTS AND METHODS: Original Glasgow Prognostic Score (oGPS), modified GPS (mGPS), high-sensitivity mGPS (HS-mGPS), high-sensitivity oGPS (HS-oGPS), LabBM score, and 10 other factors were analyzed for progression-free survival (PFS) and overall survival (OS) in 51 patients. RESULTS: On univariate analyses, oGPS 0-1, mGPS 0-1, and LabBM score 0-1.0 were significantly associated with improved OS and showed trends for improved PFS. On multivariate analysis, a trend was found for associations between LabBM score 0-1.0 and better OS. In addition, maximal cumulative diameter ≤40 mm and systemic therapy were independently associated with better PFS and OS, resection with PFS, and in-field recurrence with OS. CONCLUSION: Lower oGPS, mGPS, and LabBM scores were significantly associated with improved OS on univariate analyses. These instruments may be helpful when designing personalized treatment regimens for patients with recurrent glioblastoma.

Prognostic Role of Platelet-to-Lymphocyte and Neutrophil-to-Lymphocyte Ratios in Patients Irradiated for Glioblastoma Multiforme.

Background/Aim: Previous studies suggested pre-operative platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) to be predictive factors in patients with glioblastoma multiforme (GBM). This study investigated the prognostic role of PLR and NLR prior to or at the beginning of radiotherapy. Patients and Methods: In 80 patients with GBM receiving conventionally fractionated radiotherapy plus concurrent temozolomide following resection or biopsy, 12 factors including PLR and NLR were retrospectively evaluated regarding progression-free survival (PFS) and overall survival (OS). Results: On multivariable analyses, PLR ≤150, Karnofsky performance score (KPS) 90-100, and O6-methylguanine-DNA methyltransferase promoter methylation were significantly associated with improved PFS. Single lesion, KPS 90-100, and adjuvant chemotherapy were significantly associated with OS; PLR ≤150 showed a trend. NLR ≤3 showed a trend for associations with PFS and OS on univariable analyses. Conclusion: PLR prior to or at the beginning of radiotherapy was associated with treatment outcomes in patients irradiated for GBM and should be considered in future clinical trials.

Evaluation of Type I Interferon Treatment in Hospitalized COVID-19 Patients: A Retrospective Cohort Study.

Coronavirus disease 2019 (COVID-19) continues to cause morbidity and mortality worldwide; therefore, effective treatments remain crucial to controlling it. As interferon-alpha (IFN-α) and -beta (ß) have been proposed as COVID-19 treatments, we sought to assess their effectiveness on respiratory, cardiovascular, neurological, and psychiatric signs and symptoms, as well as PASC and death, in hospitalized COVID-19 patients without multiple sclerosis (MS). Using a federated data research network (TriNetX), we performed a retrospective cohort study of hospitalized COVID-19 patients without MS who received IFN-α or -ß treatment, comparing them to a similar cohort who did not receive treatment. Following propensity-score matched analyses, we demonstrate that hospitalized COVID-19 patients who were treated with IFN-α or -ß had significantly higher odds of death. In contrast, there was no significant difference in any other outcomes between 1-30 days or 1 day to anytime afterward. Overall, hospitalized COVID-19 patients without MS who were treated with IFN-α or -ß had similar short- and long-term sequelae (except for mortality) as those who did not receive treatment. The potential benefits of utilizing IFN-α or -ß treatment as therapeutics remain to be realized, and our research highlights the need to explore repurposing drugs for COVID-19 using real-world evidence.

Caught Between a Radiation Oncology Case Rate (ROCR) and a Hard Place: Improving Proposed Radiation Oncology Alternative Payment Models.

PURPOSE: The Radiation Oncology Case Rate (ROCR) aims to shift radiation reimbursement from fee-for-service (FFS) to bundled payments, which would decouple fractionation from reimbursement in the United States. This study compares historical reimbursement rates from 3 large centers and a national Medicare sample with proposed base rates from ROCR. It also tests the impact of methodological inclusion of treatment and disease characteristics to determine if any variables are associated with greater rate differences that may lead to inequitable reimbursement. METHODS AND MATERIALS: Using Mayo Clinic electronic medical record data from 2017 to 2020 and part B claims from the Medicare 5% research identifiable files, episodic 90-day historical reimbursement rates for 15 cancer types were calculated per the ROCR payment methodology. Mayo Clinic reimbursement rates were stratified by disease and treatment characteristics and multiple linear regression was performed to assess the association of these variables on historical episode reimbursement rates. RESULTS: From Mayo Clinic, 3498 patient episodes were included and 480,526 from the research identifiable files. From both data sets, 25% of brain metastases and 13% of bone metastases episodes included ≥2 treatment courses with an average of 51 days between courses. Accounting for all 15 cancer types, ROCR base rates resulted in an average -2.4% and -2.9% reduction in rates for Mayo Clinic and the research identifiable files respectively compared with historical reimbursement. On multivariate analysis of Mayo Clinic data, treatment intent (curative vs palliative) was associated with higher historical reimbursement (+$477 to +$7417; P ≤.05) for 12 out of 12 applicable cancer types. Stage (III-IV vs I-II) was associated with higher historical reimbursement (+$1169 to +$3917; P ≤ .05) for 8 out of 12 applicable cancer types. CONCLUSIONS: Our data suggest ROCR base rates introduce an average ≤3% reimbursement rate decrease compared with historical FFS reimbursement per cancer type, which could produce the Medicare savings required for congressional approval of ROCR. Estimating comparisons with future FFS reimbursement would require consideration of additional factors such as the increased utilization of hypofractionation, proposed FFS rate cuts, and inflationary updates. A distinct rate and shortened episode duration (≤30 days) should be considered for palliative episodes. Applying a base rate modifier per cancer stage may mitigate disproportionate reductions in reimbursement for facilities with a higher volume of curative advanced-stage patients such as freestanding centers in rural settings.

Performance evaluation of SARS-CoV-2 rapid diagnostic tests in Nigeria: A cross-sectional study.

The COVID-19 pandemic challenged health systems globally. Reverse transcription polymerase chain reaction (RT-PCR) is the gold standard for detecting the presence of SARS-CoV-2 in clinical samples. Rapid diagnostic test (RDT) kits for COVID-19 have been widely used in Nigeria. This has greatly improved test turnover rates and significantly decreased the high technical demands of RT-PCR. However, there is currently no nationally representative evaluation of the performance characteristics and reliability of these kits. This study assessed the sensitivity, specificity, and predictive values of ten RDT kits used for COVID-19 testing in Nigeria. This large multi-centred cross-sectional study was conducted across the 6 geo-political zones of Nigeria over four months. Ten antigen (Ag) and antibody (Ab) RDT kits were evaluated, and the results were compared with RT-PCR. One thousand, three hundred and ten (1,310) consenting adults comprising 767 (58.5%) males and 543 (41.5%) females participated in the study. The highest proportion, 757 (57.7%), were in the 20-39 years' age group. In terms of diagnostic performance, Lumira Dx (61.4, 95% CI: 52.4-69.9) had the highest sensitivity while MP SARS and Panbio (98.5, 95% CI: 96.6-99.5) had the highest specificity. For predictive values, Panbio (90.7, 95% CI: 79.7-96.9) and Lumira Dx (81.2, 95% CI: 75.9-85.7) recorded the highest PPV and NPV respectively. Ag-RDTs had better performance characteristics compared with Ab-RDTs; however, the sensitivities of all RDTs in this study were generally low. The relatively high specificity of Ag-RDTs makes them useful for the diagnosis of infection in COVID-19 suspected cases where positive RDT may not require confirmation by molecular testing. There is therefore the need to develop RDTs in-country that will take into consideration the unique environmental factors, interactions with other infectious agents, and strains of the virus circulating locally. This may enhance the precision of rapid and accurate diagnosis of COVID-19 in Nigeria.

Double stigma: a cross-sectional study of Lassa patients with hearing loss in North Central Nigeria.

Introduction: Lassa fever is a zoonotic infectious disease endemic in West Africa with a high case-fatality rate and reported stigmatization of surviving patients. This study examines discrimination among survivors of Lassa fever (LF) complicated by hearing loss (HL). Methods: This cross-sectional qualitative study used an in-depth interview guide to collect information from patients with HL about their experience of stigma. Interviews were conducted by a trained team of interviewers at the Jos University Teaching Hospital between January and April 2022 in Hausa language after informed consent was obtained. Recordings of the interviews were transcribed and translated from Hausa to English. Data analysis was conducted using NVivo software using a thematic framework approach. Results: Most (73%) respondents were male (n = 11); 27% were female (n = 4). The median age was 35 years (interquartile range, 16.5). Some Lassa fever patients experienced stigma and discrimination (53%) including isolation and withdrawal of family and community support during and after illness. HL increased stigma, as some patients were labeled "deaf" by other community members, increasing perceived stigma and devaluation. HL affected the socio-economic wellbeing of some who could not communicate well with their families and customers and constrained social interactions, evoking pain and apathy. Some survivors of LF and victims of its sequelae of HL experienced double stigmatization. While they were ill with LF, a third of respondents reported avoidance and isolation by family and community members who withdrew care and support both to them and their close family members. These forms of stigmatization strained their relationships. Conclusion: There is a need to address stigma in LF survivors who develop HL through concerted community-owned awareness to improve their quality of life along with a robust social support system to aid prevention.

Evaluation of knowledge-based planning models for male pelvic CBCT-based online adaptive radiotherapy on conventional linear accelerators.

PURPOSE: To assess the practicality of employing a commercial knowledge-based planning tool (RapidPlan) to generate adapted intact prostate and prostate bed volumetric modulated arc therapy (VMAT) plans on iterative cone-beam computed tomography (iCBCT) datasets. METHODS AND MATERIALS: Intact prostate and prostate bed RapidPlan models were trained utilizing planning data from 50 and 44 clinical cases, respectively. To ensure that refined models were capable of producing adequate clinical plans with a single optimization, models were tested with 50 clinical planning CT datasets by comparing dose-volume histogram (DVH) and plan quality metric (PQM) values between clinical and RapidPlan-generated plans. The RapidPlan tool was then used to retrospectively generate adapted VMAT plans on daily iCBCT images for 20 intact prostate and 15 prostate bed cases. As before, DVH and PQM metrics were utilized to dosimetrically compare scheduled (iCBCT Verify) and adapted (iCBCT RapidPlan) plans. Timing data was collected to further evaluate the feasibility of integrating this approach within an online adaptive radiotherapy workflow. RESULTS: Model testing results confirmed the models were capable of producing VMAT plans within a single optimization that were overall improved upon or dosimetrically comparable to original clinical plans. Direct application of RapidPlan on iCBCT datasets produced satisfactory intact prostate and prostate bed plans with generally improved target volume coverage/conformality and rectal sparing relative to iCBCT Verify plans as indicated by DVH values, though bladder metrics were marginally increased on average. Average PQM values for iCBCT RapidPlans were significantly improved compared to iCBCT Verify plans. The average time required [in mm:ss] to generate adapted plans was 06:09 ± 02:06 (intact) and 07:12 ± 01:04 (bed). CONCLUSION: This study demonstrated the feasibility of leveraging RapidPlan to expeditiously generate adapted VMAT intact prostate and prostate bed plans on iCBCT datasets. In general, adapted plans were dosimetrically improved relative to scheduled plans, emphasizing the practicality of the proposed approach.

Evaluation of Five Prognostic Scores in Patients Receiving Chemoradiation for Primary Glioblastoma Multiforme.

BACKGROUND/AIM: Prognostic factors can facilitate treatment personalization in patients with glioblastoma multiforme (GBM). This study investigated different Glasgow prognostic scores (GPS) and the LabBM score in patients with GBM receiving chemoradiation following resection or biopsy. PATIENTS AND METHODS: Four GPS versions, LabBM score, and 10 other factors were retrospectively investigated for progression-free survival (PFS) and overall survival (OS) in 86 patients. GPS versions included original GPS (oGPS), modified GPS (mGPS), high-sensitivity mGPS (HS-mGPS), and high-sensitivity oGPS (HS-oGPS). RESULTS: On multivariate analysis, higher oGPS was significantly associated with worse OS (p=0.006). On univariate analyses, trends were found for associations between higher mGPS and worse OS (p=0.098) and between higher LabBM scores and worse PFS (p=0.059). CONCLUSION: The oGPS was an independent predictor of OS in patients receiving chemoradiation for GBM and can help personalizing the treatment for these patients. The LabBM score may be useful for predicting PFS.

Prognostic Factors for Progression-free Survival and Overall Survival After Recurrence of Glioblastoma.

BACKGROUND/AIM: Many patients with glioblastoma experience an intracerebral recurrence and require a personalized treatment. This study aimed to facilitate this approach by identifying prognostic factors for progression-free survival (PFS) and overall survival (OS). PATIENTS AND METHODS: In 102 patients with recurrent glioblastoma following primary treatment with resection or biopsy plus adjuvant chemoradiation, 11 characteristics were retrospectively investigated regarding PFS and OS. RESULTS: In the multivariate analyses, Karnofsky performance score (KPS) 90-100 at the time of recurrence (p=0.032), maximum cumulative diameter of recurrent lesions ≤40 mm (p=0.002), resection of recurrent glioblastoma (p=0.025), and systemic therapy for recurrent glioblastoma (p=0.025) were significantly associated with improved PFS. In addition, KPS 90-100 (p=0.024), maximum cumulative diameter ≤40 mm (p=0.033), and systemic therapy (p=0.006) were significantly associated with better OS. CONCLUSION: Our study identified high Karnofsky Performance Status (KPS 90-100), maximum cumulative diameter of recurrent glioblastoma lesions ≤40 mm, and systemic therapy for recurrent glioblastoma as independent predictors of overall survival (OS) and progression-free survival (PFS). These independent prognostic factors may help select the most suitable treatment for individual patients with recurrent glioblastoma, potentially improving patient outcomes.

Seasonal Impact on Grade ≥2 Dermatitis in Patients With Breast Cancer Undergoing Radiotherapy: A Supplementary Analysis.

BACKGROUND/AIM: We investigated grade ≥2 dermatitis in patients irradiated for breast cancer. This study evaluated associations between dermatitis and the season during which radiotherapy took place. PATIENTS AND METHODS: Associations between the season and grade ≥2 dermatitis were retrospectively evaluated in 327 breast cancer patients. Seasons were March to May (spring), June to August (summer), September to November (autumn), and December to February (winter). Subgroup analyses were performed considering fractionation, radiation technique, treatment volume, radiation boost, and deep-inspiration breath-hold technique. Furthermore, warmer and cooler months were compared. RESULTS: The season had no significant impact on the rate of grade ≥2 dermatitis in the entire cohort (p=0.63) nor in the subgroup analyses (p-values between 0.17 and 0.82). No significant difference in rate was found between warm and cool months. CONCLUSION: Grade ≥2 dermatitis was not associated with the season during which radiotherapy was performed. This factor may not be important for stratification in prospective trials.

Associations Between Mean Lung Dose and Prevalence of Radiation Pneumonitis in Elderly Lung Cancer Patients.

BACKGROUND/AIM: Pneumonitis is a serious radiotherapy complication. This study, which is a prerequisite for a prospective trial, aimed to identify the prevalence of pneumonitis and risk factors in elderly patients with lung cancer. PATIENTS AND METHODS: Ninety-eight lung cancer patients aged ≥65 years were included. Seventeen factors were investigated regarding grade ≥2 pneumonitis at 24 weeks following radiotherapy. RESULTS: The prevalence of grade ≥2 pneumonitis at 24 weeks was 27.3%. On univariate analysis, a significant association was observed for mean (ipsilateral) lung dose (MLD; ≤13.0 vs. 13.1-20.0 vs. >20.0 Gy; 0% vs. 24.9% vs. 48.7%). Results were significant also for ≤13.0 vs. >13.0 Gy (0% vs. 37.1%) or ≤20.0 vs. >20.0 Gy (13.4% vs. 48.7%). MLD achieved significance on multivariate analysis. CONCLUSION: Elderly patients receiving MLDs >13.0 Gy, particularly >20.0 Gy, have a high risk of grade ≥2 pneumonitis. These results are important for designing a prospective trial.

The Role of Radiotherapy for Meningeal Melanocytomas - A 20 Year Update.

BACKGROUND/AIM: Meningeal melanocytomas are rare tumors of the central nervous system and optimal treatment needs further clarification. This study compared subtotal resection (STR), STR plus radiation therapy (RT), gross total resection (GTR), and GTR+RT to better define the role of postoperative RT. PATIENTS AND METHODS: All cases reported in the literature were reviewed. Patients (n=184) with complete data were analyzed for local control (LC) and overall survival (OS). RESULTS: On univariate analysis, GTR (vs. STR) was associated with improved LC (p=0.016). When comparing the treatment regimens, best and worst results were found after GTR+RT and STR alone, respectively (p<0.001). On univariate analysis, GTR resulted in better OS than STR (p=0.041). Moreover, the treatment regimen had a significant impact on OS (p=0.049). On multivariate analyses of LC and OS, extent of resection and treatment regimen were found to be significant factors. After STR, RT significantly improved LC but not OS. After GTR, RT did not significantly improve LC or OS. CONCLUSION: GTR was significantly superior to STR regarding LC and OS. STR+RT resulted in significantly better LC when compared to STR alone.

Control4Life: A randomized controlled trial protocol examining the feasibility and efficacy of a combined pelvic health rehabilitation and exercise fitness program for individuals undergoing prostatectomy.

BACKGROUND: Urinary incontinence (UI), erectile dysfunction and cardiometabolic conditions are common after prostatectomy for prostate cancer (PCa). Although physical activity could improve overall survival and quality of survivorship, fear of UI can restrict participation in exercise. Individuals with PCa could benefit from therapeutic exercise programming to support continence recovery and cardiometabolic health. AIM: The main objective of this study is to determine the feasibility and the effects of a combined pelvic health rehabilitation and exercise fitness program on UI after prostatectomy. The combined exercise program will be delivered both in-person and virtually. METHODS: This study follows a modified Zelen, two-arm parallel randomized controlled trial design. A total of 106 individuals with PCa will be recruited before prostatectomy surgery. Participants will be randomized between two groups: one receiving usual care and one receiving a combined exercise fitness and intensive pelvic floor muscle training program. Exercise programming will begin 6-8 weeks after prostatectomy and will last 12 weeks. Outcomes include: the 24-h pad test (primary outcome for UI); physical fitness, metabolic indicators, and patient-reported outcomes on erectile function, self-efficacy, severity of cancer symptoms and quality of life. Important timepoints for assessments include before surgery (T0), after surgery (T1), after intervention (T3) and at one-year after surgery (T4). CONCLUSION: This study will inform the feasibility of offering comprehensive exercise programming that has the potential to positively impact urinary continence, erectile function and cardiometabolic health of individuals undergoing prostatectomy for prostate cancer. CLINICALTRIALS REGISTRATION NUMBER: NCT06072911.

Clinically Significant Dermatitis During Adjuvant Radiotherapy for Invasive Breast Cancer.

BACKGROUND/AIM: Patients with breast cancer receiving adjuvant radiotherapy may experience grade ≥2 dermatitis. In the Interreg-project HeAT, a mobile application (app) reminding patients to perform skin care will be prospectively tested with the goal of decreasing clinically significant radiation dermatitis. This study aimed to identify the prevalence of grade ≥2 dermatitis and risk factors, required for designing the prospective trial. PATIENTS AND METHODS: In a retrospective study of 327 patients with breast cancer irradiated during 2022-2023, the prevalence of grade ≥2 dermatitis and 23 potential risk factors were investigated. RESULTS: The prevalence of grade ≥2 dermatitis was 31.2%. On multivariate analysis, it was significantly associated with chronic inflammatory disease (p=0.001), significant cardiovascular disease (p<0.001), smoking history >10 pack years (p<0.001), advanced T-stage (p=0.017), normo-fractionation (p<0.001), and radiation boost (p<0.001). CONCLUSION: The prevalence of grade ≥2 dermatitis and independent risk factors during adjuvant radiotherapy for invasive breast cancer were identified that contribute to improved patient care and the design of a prospective trial.

NRG Oncology and Particle Therapy Co-Operative Group Patterns of Practice Survey and Consensus Recommendations on Pencil-Beam Scanning Proton Stereotactic Body Radiation Therapy and Hypofractionated Radiation Therapy for Thoracic Malignancies.

Stereotactic body radiation therapy (SBRT) and hypofractionation using pencil-beam scanning (PBS) proton therapy (PBSPT) is an attractive option for thoracic malignancies. Combining the advantages of target coverage conformity and critical organ sparing from both PBSPT and SBRT, this new delivery technique has great potential to improve the therapeutic ratio, particularly for tumors near critical organs. Safe and effective implementation of PBSPT SBRT/hypofractionation to treat thoracic malignancies is more challenging than the conventionally fractionated PBSPT because of concerns of amplified uncertainties at the larger dose per fraction. The NRG Oncology and Particle Therapy Cooperative Group Thoracic Subcommittee surveyed proton centers in the United States to identify practice patterns of thoracic PBSPT SBRT/hypofractionation. From these patterns, we present recommendations for future technical development of proton SBRT/hypofractionation for thoracic treatment. Among other points, the recommendations highlight the need for volumetric image guidance and multiple computed tomography-based robust optimization and robustness tools to minimize further the effect of uncertainties associated with respiratory motion. Advances in direct motion analysis techniques are urgently needed to supplement current motion management techniques.