Analysis of the Parotid Glands on an Energy Spectrum CT Iodine Map to Evaluate Irradiation-Induced Acute Xerostomia in Patients With Nasopharyngeal Carcinoma.

Objective: This prospective study aims to evaluate acute irradiation-induced xerostomia during radiotherapy by utilizing the normalized iodine concentration (NIC) derived from energy spectrum computed tomography (CT) iodine maps. Methods: In this prospective study, we evaluated 28 patients diagnosed with nasopharyngeal carcinoma. At 4 distinct stages of radiotherapy (0, 10, 20, and 30 fractions), each patient underwent CT scans to generate iodine maps. The NIC of both the left and right parotid glands was obtained, with the NIC at the 0-fraction stage serving as the baseline measurement. After statistically comparing the NIC obtained in the arterial phase, early venous phase, late venous phase, and delayed phase, we chose the late venous iodine concentration as the NIC and proceeded to analyze the variations in NIC at each radiotherapy interval. Using the series of NIC values, we conducted hypothesis tests to evaluate the extent of change in NIC within the parotid gland across different stages. Furthermore, we identified the specific time point at which the NIC decay exhibited the most statistically significant results. In addition, we evaluated the xerostomia grades of the patients at these 4 stages, following the radiation therapy oncology group (RTOG) xerostomia evaluation standard, to draw comparisons with the changes observed in NIC. Results: The NIC in the late venous phase exhibited the highest level of statistical significance (P < .001). There was a noticeable attenuation in NIC as the RTOG dry mouth grade increased. Particularly, at the 20 fraction, the NIC experienced the most substantial attenuation (P < .001), a significant negative correlation was observed between the NIC of the left, right, and both parotid glands, and the RTOG evaluation grade of acute irradiation-induced xerostomia (P < .001, r = -0.46; P < .001, r = -0.45; P < .001, r = -0.47). The critical NIC values for the left, right, and both parotid glands when acute xerostomia occurred were 0.175, 0.185, and 0.345 mg/ml, respectively, with AUC = 0.73, AUC = 0.75, and AUC = 0.75. Conclusion: The NIC may be used to evaluate changes in parotid gland function during radiotherapy and acute irradiation-induced xerostomia.

A novel nomogram based on inflammation biomarkers for predicting radiation cystitis in patients with local advanced cervical cancer.

BACKGROUNDS: Platelet-to-albumin ratio (PAR) is a new systemic inflammatory prognostic indicator associated with many inflammatory diseases. However, its role in radiation cystitis (RC) is obscure. This study aimed to explore whether PAR could be used as an effective parameter for predicting the RC risk in local advanced cervical cancer (CC) treated with radiotherapy. METHODS: A total of 319 local advanced CC patients who received radical radiotherapy at Fujian Cancer Hospital were enrolled between December 2018 and January 2021. Demographics and clinical parameters were retrospectively analyzed. Univariate and multivariate analyses were used to identify the risk factors for RC. Backward and stepwise regression was applied to construct two monograms-one with primary significant factors and the other with extra inflammatory biomarkers. A DeLong test was applied to compare the prediction abilities of two nomograms. Calibration curves and decision curve analysis (DCA) evaluated its prediction consistency, discrimination ability, and clinical net benefit. RESULTS: Univariate analysis showed that age, tumor size, stage, total radiation dose, pelvic radiation dose, Systemic Immune-Inflammation Index (SII), platelet-to-lymphocyte ratio (PLR), and PAR were significantly associated with RC occurrence (all p < 0.05). Multivariate analyses indicated that age, tumor size, stage, total radiation dose, and PAR were independent factors (all p < 0.05). Then, the area under curve (AUC) value of the nomogramSII+PAR was higher (AUC = 0.774) compared to that of the baseline nomogram (AUC = 0.726) (pDelong = 0.02). Also, the five-cross validation confirmed the stability of the nomogramSII+PAR. Moreover, the calibration curve and DCA exhibited the nomograms' good prediction consistency and clinical practicability. CONCLUSIONS: PAR and SII could be valued for CC patients who are treated with radiation therapy. The nomogram based on PAR and SII could stratify patients who need extra intervention and nursing care to prevent bladder radiation damage and improve patients' quality of life.

A dosiomics model for prediction of radiation-induced acute skin toxicity in breast cancer patients: machine learning-based study for a closed bore linac.

BACKGROUND: Radiation induced acute skin toxicity (AST) is considered as a common side effect of breast radiation therapy. The goal of this study was to design dosiomics-based machine learning (ML) models for prediction of AST, to enable creating optimized treatment plans for high-risk individuals. METHODS: Dosiomics features extracted using Pyradiomics tool (v3.0.1), along with treatment plan-derived dose volume histograms (DVHs), and patient-specific treatment-related (PTR) data of breast cancer patients were used for modeling. Clinical scoring was done using the Common Terminology Criteria for Adverse Events (CTCAE) V4.0 criteria for skin-specific symptoms. The 52 breast cancer patients were grouped into AST 2 + (CTCAE ≥ 2) and AST 2 - (CTCAE < 2) toxicity grades to facilitate AST modeling. They were randomly divided into training (70%) and testing (30%) cohorts. Multiple prediction models were assessed through multivariate analysis, incorporating different combinations of feature groups (dosiomics, DVH, and PTR) individually and collectively. In total, seven unique combinations, along with seven classification algorithms, were considered after feature selection. The performance of each model was evaluated on the test group using the area under the receiver operating characteristic curve (AUC) and f1-score. Accuracy, precision, and recall of each model were also studied. Statistical analysis involved features differences between AST 2 - and AST 2 + groups and cutoff value calculations. RESULTS: Results showed that 44% of the patients developed AST 2 + after Tomotherapy. The dosiomics (DOS) model, developed using dosiomics features, exhibited a noteworthy improvement in AUC (up to 0.78), when spatial information is preserved in the dose distribution, compared to DVH features (up to 0.71). Furthermore, a baseline ML model created using only PTR features for comparison with DOS models showed the significance of dosiomics in early AST prediction. By employing the Extra Tree (ET) classifiers, the DOS + DVH + PTR model achieved a statistically significant improved performance in terms of AUC (0.83; 95% CI 0.71-0.90), accuracy (0.70), precision (0.74) and sensitivity (0.72) compared to other models. CONCLUSIONS: This study confirmed the benefit of dosiomics-based ML in the prediction of AST. However, the combination of dosiomics, DVH, and PTR yields significant improvement in AST prediction. The results of this study provide the opportunity for timely interventions to prevent the occurrence of radiation induced AST.

Dose-Volume Parameters of Spared Magnetic Resonance Imaging-Defined Active Bone Marrow Predict Hematologic Toxicity in Pelvic Malignancies Patients Undergoing Radiotherapy: A Cohort Study.

Background: The objective of this investigation is to evaluate the superiority of dose-volume parameters relying on magnetic resonance imaging (MRI)-defined active bone marrow (ABM) over those based on total bone marrow (TBM) contoured via CT in the prediction of hematologic toxicity (HT) occurrence among patients with pelvic malignancies undergoing radiotherapy. Methods: The clinical data of 116 patients with pelvic malignancies treated with pelvic radiotherapy were analyzed retrospectively. The ABM areas on T1-weighted MRI were contoured. The statistical significance between TBM and ABM dose-volume measures was assessed through the utilization of either Student's t-test or Wilcoxon signed rank test. Logistic and linear regression models were employed to analyze the correlation between dose-volume parameters (V5-V50) and HT occurrence in pelvic ABM and TBM. Receiver operating characteristic (ROC) curves were used to compare predictors of HT2+. Results: There were significant differences in dosimetric parameters between ABM and TBM. Logistic regression analysis showed that ABM V5, ABM V10, ABM V15, ABM V20, and TBM V5 were significantly associated with the occurrence of HT2+ in pelvic malignancies. Linear regression analysis showed that ABM V5, ABM V10, and ABM V15 were significantly associated with white blood cell (WBC), absolute neutrophil count (ANC), hemoglobin (Hb), and lymphocyte (Lym) nadir. ABM V5, ABM V10, ABM V15, and ABM V30 were predictive of HT2+. Conclusions: More accurate prediction of HT in patients receiving pelvic radiotherapy may be achieved by relying on dose-volume parameters of MRI-based ABM. Further prospective studies are needed to confirm this.

Intestinal microecological transplantation for a patient with chronic radiation enteritis: A case report.

BACKGROUND: The gut microbiota is strongly associated with radiation-induced gut damage. This study aimed to assess the effectiveness and safety of intestinal microecological transplantation for treating patients with chronic radiation enteritis. CASE SUMMARY: A 64-year-old female with cervical cancer developed abdominal pain, diarrhea, and blood in the stool 1 year after radiotherapy. An electronic colonoscopy was performed to diagnose chronic radiation enteritis. Two courses of intestinal microecological transplantation and full-length 16S rRNA microbiological analysis were performed. The patient experienced short- and long-term relief from symptoms without adverse effects. Whole 16S rRNA sequencing revealed significant differences in the intestinal flora's composition between patient and healthy donors. Pathogenic bacteria, such as Escherichia fergusonii and Romboutsia timonensis, were more in the patient. Beneficial bacteria such as Faecalibacterium prausnitzii, Fusicatenibacter saccharivorans, Ruminococcus bromii, and Bifidobacterium longum were more in the healthy donors. Intestinal microbiota transplantation resulted in a significant change in the patient's intestinal flora composition. The composition converged with the donor's flora, with an increase in core beneficial intestinal bacteria, such as Eubacterium rectale, and a decrease in pathogenic bacteria. Changes in the intestinal flora corresponded with the patients' alleviating clinical symptoms. CONCLUSION: Intestinal microecological transplantation is an effective treatment for relieving the clinical symptoms of chronic radiation enteritis by altering the composition of the intestinal flora. This study provides a new approach for treating patients with chronic radiation enteritis.

[Diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers].

Objective: To explore the diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers by comparing the differences of whole blood cell parameters between occupational radiation injury population and occupational health examination population. Methods: In February 2023, 184 radiation workers who received occupational health examinations in our hospital and occurrenced chromosome aberration from July 2021 to July 2022 were retrospectively selected as the radiation injury group. And other 184 radiation workers encountered in the same period without chromosome aberration occurrence were selected as the control group. Collected whole blood cell parameters from two groups of research subjects, conducted comparative analysis, constructed a logistic regression model, and evaluated the diagnostic value of the logistic regression model for radiation injury on radiation workers by receiver operating characteristic curve (ROC) and area under curve (AUC) . In addition, with the same standard, 60 radiation workers with chromosome aberration and 60 radiation workers without chromosome aberration from August 2022 to January 2023 were included in the validation queue to validate the logistic regression model. Results: Neu_X, Neu_Y, Neu_Z, Lym_X, Lym_Y, Lym_Z, Mon_X, Mon_Y, Mon_Z, Micro, MCHC in the radiation injury group were significantly higher than those in the control group, and the difference was statistically significant (P<0.05) . And MCV and Macro in the radiation injury group were lower than those in the control group, and the difference was statistically significant (P<0.05) . Moreover, logistic regression analysis showed that Lym_X, Lym_Y, Lym_Z, MCHC, Micro were all independent risk factors for diagnosing radiation injury on radiation workers (OR=1.08、1.02、0.99、1.06、51.32, P<0.05) . ROC curve analysis showed that the AUC, sensitivity, specificity, and accuracy of the logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro in diagnosing radiation injury on radiation workers were 0.80, 85.9%, 65.8% and 75.9% respectively. The validation queue verified the logistic regression model and the AUC, sensitivity, specificity, and accuracy of the logistic regression model were 0.80, 81.7%, 71.7% and 76.7% respectively, the model fitted well. Conclusion: Radiation damage can cause changes in multiple whole blood cell parameters of radiation workers. The logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro showed good diagnosis ability and can be used for the screening of radiation injury on radiation workers.

The dilemma of radiation necrosis from diagnosis to treatment in the management of brain metastases.

Radiation therapy with stereotactic radiosurgery (SRS) or whole brain radiation therapy is a mainstay of treatment for patients with brain metastases. The use of SRS in the management of brain metastases is becoming increasingly common and provides excellent local control. Cerebral radiation necrosis (RN) is a late complication of radiation treatment that can be seen months to years following treatment and is often indistinguishable from tumor progression on conventional imaging. In this review article, we explore risk factors associated with the development of radiation necrosis, advanced imaging modalities used to aid in diagnosis, and potential treatment strategies to manage side effects.

Clinical and biochemical assessment of the effect of glutamine in management of radiation induced oral mucositis in patients with head and neck cancer: Randomized controlled clinical trial.

BACKGROUND: This study aimed to evaluate the effect of oral glutamine suspension on salivary levels of transforming growth factor beta 1 (TGF-ß1), a cytokine involved in inflammation and Tumor progression, and the severity of radiation-induced oral mucositis (RIOM) in head and neck cancer patients. This is the first study to investigate the impact of glutamine on TGF-ß1 levels in head and neck cancer patients with radiation induced oral mucositis (RIOM). METHODS: In this randomized controlled clinical trial, 50 HNC patients were enrolled and received either glutamine oral suspension or maltodextrin as a placebo from the baseline of RIOM to the end of radiotherapy. Salivary TGF-ß1 levels were measured at baseline and after treatment. Also, RIOM was assessed using the World Health Organization (WHO) Oral Toxicity Scale, the Oral Mucositis Assessment Scale (OMAS), the Pain Visual Analog Scale (Pain-VAS), the incidence of opioid use, and body mass index (BMI). RESULTS: Glutamine significantly reduced salivary TGF-ß1 levels and improved RIOM symptoms, such as pain, opioid use, and weight loss. The reduction of TGF-ß1 levels was associated with the improvement of RIOM severity. CONCLUSION: Glutamine may modulate the inflammatory response and enhance wound healing in RIOM by decreasing salivary TGF-ß1 levels. These findings support the use of glutamine as a potential intervention for RIOM and nutritional support for improving radiation sensitivity. TRIAL REGISTRATION: This study was registered on clinicalTrials.gov with identifier no. NCT05856188.

Morphological Biomarkers Related to Visual Acuity in Patients With Radiation Retinopathy Treated With Intravitreal Ranibizumab.

BACKGROUND AND OBJECTIVE: Our objective was to monitor variables via spectral-domain optical coherence tomography (SD-OCT) and identify the most relevant biomarkers related to best-corrected visual acuity (BCVA) in radiation retinopathy (RR). PATIENTS AND METHODS: A post-hoc analysis of the two-year Ranibizumab for Radiation Retinopathy (RRR) trial analyzed vision and OCT parameters including intraretinal fluid, ellipsoid zone (EZ) disruption, retinal pigment epithelium atrophy, hard exudates, retinal hemorrhage, retinal neovascularization, and subfoveal fluid. BCVA and SD-OCT parameters were evaluated by univariate analysis and a mixed-effects model. RESULTS: Forty eyes from the RRR trial were included. Intraretinal cyst vertical size (week 24: P = 0.032; week 48: P = 0.021), neovascularization (week 48: P = 0.028; week 72: P = 0.025), and EZ disruption (week 72: P = 0.029; week 104: P = 0.019) were the clinical parameters most relevant to BCVA by univariate analysis in at least two time points. The mixed-effects model confirmed the relevance of intraretinal cyst vertical size (P = 0.001) and neovascularization (P = 0.001) but not EZ disruption (P = 0.119) over the course of the study. CONCLUSIONS: This study characterizes the course of visual loss in RR by identifying intraretinal cyst vertical size, neovascularization, and EZ disruption as biomarkers of poor BCVA over a span of two years. Larger multicenter studies are needed to confirm these findings. [Ophthalmic Surg Lasers Imaging Retina 2024;55:255-262.].

microRNA blood signature for localized radiation injury.

A radiological accident, whether from industrial, medical, or malicious origin, may result in localized exposure to high doses of ionizing radiations, leading to the development of local radiation injury (LRI), that may evolve toward deep ulceration and necrosis of the skin and underlying tissues. Early diagnosis is therefore crucial to facilitate identification and management of LRI victims. Circulating microRNAs (miRNA) have been studied as potential diagnostic biomarkers of several diseases including hematological defects following whole-body irradiation (WBI). This study aims to identify a blood miRNA signature associated with LRI in a preclinical C57BL/6J mouse model of hindlimb irradiation using different 10-MV X-ray doses that lead to injuries of different severities. To this end, we first performed broad-spectrum plasma miRNA profiling, followed by a targeted validation step, on two independent animal cohorts. Using a multivariate sparse partial least square discriminant analysis, we identified a panel of eight circulating miRNAs able to segregate mice according to LRI severity. Interestingly, these miRNAs were previously associated with WBI (miR-150-5p, miR-342-3p, miR-146a-5p), inflammation (miR-18a-5p, miR-148b-3p, miR-532-5p) and skin diseases (miR-139-5p, miR-195-5p). Our results suggest the use of circulating miRNAs as suitable molecular biomarkers for LRI prognosis and diagnosis.

[Pathogenesis, diagnostic and therapeutic strategies for radiation-related caries].

Radiation-related caries is a common complication following head and neck tumor radiotherapy. It is a rapidly progressing and widespread destructive disease of tooth tissue after radiotherapy, which greatly affects the life quality of patients after radiotherapy. This article elucidates research progress in the pathogenic mechanisms, diagnosis and caries assessment, treatment, as well as prevention strategies for radiation-related caries, aiming to provide references for clinical prevention and treatment of radiation-related caries.

Endovascular Management of Post-Irradiated Carotid Blowout Syndrome in Patients with Lower Neck Cancers.

OBJECTIVE: Lower neck cancers (LNCs) include specific tumour types and have some different vascular supply or collaterals from other head and neck cancers. This prospective study evaluated the outcome of endovascular management of post-irradiated carotid blowout syndrome (PCBS) in patients with LNC by comparing reconstructive management (RE) and deconstructive management (DE). METHODS: This was a single centre, prospective cohort study. Patients with LNC complicated by PCBS between 2015 and 2021 were enrolled for RE or DE. RE was performed by stent graft placement covering the pathological lesion and preventive external carotid artery (ECA) embolisation without balloon test occlusion (BTO). DE was performed after successful BTO by permanent coil or adhesive agent embolisation of the internal carotid artery (ICA) and ECA to common carotid artery, or ICA occlusion alone if the pathological lesion was ICA only. Cross occlusion included the proximal and distal ends of the pathological lesion in all patients. Re-bleeding events, haemostatic period, and neurological complications were evaluated. RESULTS: Fifty-nine patients (mean age 58.5 years; 56 male) were enrolled, including 28 patients undergoing RE and 31 patients undergoing DE. Three patients originally grouped to DE were transferred to RE owing to failed BTO. The results of RE vs. DE were as follows: rebleeding events, 13/28 (46%) vs. 10/31 (32%) (p = .27); haemostatic period, 9.4 ± 14.0 months vs. 14.2 ± 27.8 months (p = .59); neurological complication, 4/28 (14%) vs. 5/31 (16%) (p = .84); and survival time, 11.8 ± 14.6 months vs. 15.1 ± 27.5 months (p = .61). CONCLUSION: No difference in rebleeding risk or neurological complications was observed between the DE and RE groups. RE could be used as a potential routine treatment for PCBS in patients with LNC.

The role of surgery in the management of radiation-induced brachial plexopathy: a systematic review.

This systematic literature review of the clinical characteristics of radiation-induced brachial plexopathy and outcomes after intervention includes 30 trials with 611 patients. The mean radiation dose to the brachial plexus was 56 Gy, and the mean duration of radiation was 4 weeks. The mean time from radiation to the onset of symptoms was 35 months. The most commonly reported symptom was sensory loss (n = 323, 62%), followed by motor deficits (n = 294, 56%) and neuropathic pain (n = 284, 54%). In total, 65 (56%) patients had panplexus involvement and 51 (44%) patients had partial plexus involvement. The most common surgical procedure was neurolysis with flap coverage (n = 108, 6%), followed by neurolysis alone (n = 71, 30%). Of the 237 patients who underwent surgery, 125 (53%) reported an improvement in pain. Motor and sensory deficits were improved in 46 (19%) and 39 (16%) patients, respectively, suggesting that surgery is beneficial in relieving pain, but not as beneficial in restoring motor and sensory function.

Predicting Radiation-Induced Lung Injury in Patients With Lung Cancer: Challenges and Opportunities.

Radiation-induced lung injury (RILI) is one of the main dose-limiting toxicities in radiation therapy (RT) for lung cancer. Approximately 10% to 20% of patients show signs of RILI of variable severity. The reason for the wide range of RILI severity and the mechanisms underlying its development are only partially understood. A number of clinical risk factors have been identified that can aid in clinical decision making. Technological advancements in RT and the use of strict organ-at-risk dose constraints have helped to reduce RILI. Predicting patients at risk for RILI may be further improved with a combination of cytokine assessments, γH2AX-assays in leukocytes, or epigenetic markers. A complicating factor is the lack of an objective definition of RILI. Tools such as computed tomography densitometry, fluorodeoxyglucose-positron emission tomography uptake, changes in lung function measurements, and exhaled breath analysis can be implemented to better define and quantify RILI. This can aid in the search for new biomarkers, which can be accelerated by omics techniques, single-cell RNA sequencing, mass cytometry, and advances in patient-specific in vitro cell culture models. An objective quantification of RILI combined with these novel techniques can aid in the development of biomarkers to better predict patients at risk and allow personalized treatment decisions.

Comprehensive geriatric assessment predicts radiation-induced acute toxicity in prostate cancer patients.

PURPOSE: The purpose of the present prospective study was to evaluate the significance of geriatric conditions measured by a comprehensive geriatric assessment (GA) for the prediction of the risk of high-grade acute radiation-induced toxicity. METHODS: A total of 314 prostate cancer patients (age ≥ 65 years) undergoing definitive radiotherapy at a tertiary academic center were included. Prior to treatment, patients underwent a GA. High-grade toxicity was defined as acute toxicity grade ≥ 2 according to standard RTOG/EORTC criteria. To analyze the predictive value of the GA, univariable and multivariable logistic regression models were applied. RESULTS: A total of 40 patients (12.7%) developed acute toxicity grade ≥ 2; high grade genitourinary was found in 37 patients (11.8%) and rectal toxicity in 8 patients (2.5%), respectively. Multivariable analysis revealed a significant association of comorbidities with overall toxicity grade ≥ 2 (odds ratio [OR] 2.633, 95% confidence interval [CI] 1.260-5.502; p = 0.010) as well as with high-grade genitourinary and rectal toxicity (OR 2.169, 95%CI1.017-4.625; p = 0.045 and OR 7.220, 95%CI 1.227-42.473; p = 0.029, respectively). Furthermore, the Activities of Daily Living score (OR 0.054, 95%CI 0.004-0.651; p = 0.022), social status (OR 0.159, 95%CI 0.028-0.891; p = 0.036), and polypharmacy (OR 4.618, 95%CI 1.045-20.405; p = 0.044) were identified as independent predictors of rectal toxicity grade ≥ 2. CONCLUSION: Geriatric conditions seem to be predictive of the development of high-grade radiation-induced toxicity in prostate cancer patients treated with definitive radiotherapy.

[Progressive radiation-induced rectal injury: is there an opportunity to get out of a vicious circle? A clinical case].

Radiation therapy is one of the main treatment option for prostate cancer used either independently or as a component of combined and complex treatment of the disease. Modern achievements make it possible to deliver doses of radiation that match the exact dimensions of the tumor for greater efficacy, with minimal exposure of the surrounding tissues, however, does not eliminate them. In most patients, clinical manifestations of chronic radiation proctitis occur during the first 2 years after radiation therapy. The article summarizes the current knowledge about pathophysiology, clinical manifestations, diagnostics and treatment options for this condition. In this paper, we present a case of complicated of chronic radiation proctitis.

Radiation-Induced Pericardial Disease: Mechanisms, Diagnosis, and Treatment.

PURPOSE OF REVIEW: We aim to give a concise overview of the different clinical manifestations of both acute and long-term radiotherapy-related pericardial diseases, the underlying pathophysiology as well as the diagnosis and treatment options. RECENT FINDINGS: Radiotherapy-related pericardial disease is common, but despite radiotherapy being a cornerstone of many cancer treatments, this disease entity is relatively underrepresented in clinical trials, resulting in a paucity of research data on pathophysiology and management. Since the development of innovative cancer treatments, survival has significantly improved. Therefore, the importance of long-term treatment-related side effects increases, most notably cancer treatment-related cardiovascular toxicity. In patients undergoing radiotherapy as a part of their cancer treatment, radiotherapy-related pericardial disease can manifest early (during or shortly after radiotherapy administration) or very late (several years to decades after treatment). This exceptionally long latency period confronts physicians with treatment-related side effects of radiotherapy regimens that may have been abandoned already.

Genitourinary Radiation Injury Following Prostate Cancer Treatment: Assessment of Cost and Health Care System Burden.

OBJECTIVE: To evaluate the healthcare resource impact of radiation injury following prostate cancer treatment. METHODS: Using IBM MarketScan, we performed a retrospective study of men with prostate cancer who were treated with radiotherapy and subsequently developed low-grade (LGRI) and high-grade radiation injury (HGRI). Radiation injury diagnoses included bladder neck stenosis, hematuria/cystitis, fistula, ureteral stricture, and incontinence. LGRI and HGRI included injury diagnosis without intervention and with intervention, respectively. Health care visits and costs were measured over 5 time periods including 2 years before radiation, 1 year before radiation, radiation to injury diagnosis, injury diagnosis to first intervention (LGRI), and following first intervention (HGRI). Negative binomial regression modeling was used to assess the effect of radiation injury on average cost adjusting for demographics and comorbidities. RESULTS: Between 2008 and 2017, we identified 121,027 men who received radiotherapy following prostate cancer diagnosis of which 10,057 (8.3%) experienced a HGRI. The frequency of urologic visits and average costs were similar in those without injury and LGRI. However, men with HGRI experienced higher visit frequency and monthly costs. Amongst high-grade injuries, urinary fistula had the highest frequency of visit utilization at 378 visits before first intervention and 245 visits after first intervention. Following radiation injury diagnosis, the average monthly cost was twice as high in those with HGRI ($85.78) compared to LGRI ($38.66). CONCLUSIONS: HGRI was associated with increased urologic health care use and average monthly cost when compared to those who experienced LGRI or no injury. Urinary fistula was associated with the largest resource burden.