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Article

Radiation Dose-Induced Carotid Artery Stenosis and Brain Necrosis in Head and Neck Cancer—A Real World Cohort Study

1
An-Nan Hospital, China Medical University, Tainan 709, Taiwan
2
College of Medicine, China Medical University, Taichung 404, Taiwan
3
Kaohsiung Show Chwan Memorial Hospital, Kaohsiung 821, Taiwan
*
Authors to whom correspondence should be addressed.
Cancers 2024, 16(17), 2982; https://doi.org/10.3390/cancers16172982
Submission received: 24 July 2024 / Revised: 20 August 2024 / Accepted: 22 August 2024 / Published: 27 August 2024
(This article belongs to the Special Issue New Approaches in Radiotherapy for Cancer)

Abstract

:

Simple Summary

Radiotherapy is the main local treatment for head and neck cancer. Radiation oncologists and patients should be alert to late carotid artery stenosis and brain necrosis after treatment.

Abstract

Objective: This study aims to examine whether radiation therapy doses are related to incidences of carotid artery stenosis and brain necrosis in a large-scale real-world database. Methods: We identified a cohort of HNC patients from the catastrophic illness patient dataset using ICD-9 or ICD-10 to compare the incidence and risks of carotid artery stenosis (CAS) and brain necrosis (RIBN) in patients who received a radiation therapy dose of ≥5400 cGy/30 fractions (group A) with those who received a radiation therapy dose of <5400 cGy/30 fractions (group B). The incidence and hazard ratios were quantified using Cox proportional hazards models. Results: A total of 19,964 patients were identified in group A and group B. Among them, 965 and 863 cases of CAS and 435 and 359 cases of RIBN were identified in group A and group B, respectively. There was no statistically significant association between the two groups for CAS risk, whereas there was a statistically significant association between the two groups for RIBN risk. The most common primary site of head and neck cancers was the nasopharynx (1144 of 19,964, 5.73%). Conclusions: Our study suggests that RT may increase the risk of carotid stenosis and brain necrosis in patients with NPC. To ensure patient safety during treatment, the optimal balance between tumor control and toxicity prevention in individual patients through minimization of the radiation dose to all relevant OARs must be properly understood.

1. Introduction

Head and neck cancer (HNC) is one of the most common cancers, with approximately 878,348 new cases and 444,347 deaths worldwide in 2020 [1]. In Taiwan, there were 8277 new cases and 3137 deaths in 2020. The five-year survival rate of head and neck cancer (HNC) after radiation therapy (RT) is about 35% to 89% [2].
Squamous cell carcinoma usually occurs on the lower surface of the oral cavity, pharynx and larynx in the mucosa with an incidence rate of about 90% of cases. Surgical resection, radiotherapy or both have been the usual treatment methods over the past few decades [3,4,5]. More than half of HNC patients require cervical irradiation because of the abundant lymphatic drainage in the neck. Definitive radiotherapy is the primary local treatment for unresectable HNC tumors, either for organ preservation or for the treatment of unresectable HNC tumors [6,7,8]. Surgical resection is often used in the early stages of cancer, but radiotherapy is increasingly considered to replace the need for surgical resection [9,10,11]. For locally advanced cancer, radiotherapy can be used concurrently with chemotherapy or as adjuvant radiotherapy after surgical resection [5].
The prevalence of >50% and >70% carotid stenosis and carotid occlusion after irradiation is 4–25% in patients with HNC who receive radiation therapy, and the cumulative incidence increases over time. In treating HNC, the RT dose is up to 70 Gy/fraction, which can damage the carotid artery, leading to stenosis [12]. Likewise, these patients have at least twice the risk of cerebrovascular events compared with the normal population [12]. Radiation-induced brain necrosis (RIBN) and carotid artery stenosis (CAS) are more serious complications and can potentially lead to cognitive dysfunction, seizure, headache, transient ischemic attack (TIA) or ischemic stroke, and limb paralysis [13,14,15]. In recent years, with the advancement of radiation therapy (RT) technology and comprehensive treatment, patient survival has been extended, but radiation-related late toxicity has also increased and has attracted increasing attention.
Several studies have reported that with the widespread use of intensity-modulated radiation therapy (IMRT), the incidence of RIBN is only 0.13–2.8%, but this is dose-related [13,14]. A recently published study showed that the RIBN incidence rate is 5% over 5 years and 50% over 5 years; the maximum dose (Dmax) is 69.59 Gy and 76.45 Gy, respectively [15]. Therefore, brainstem necrosis is associated with high-dose irritation. The maximum dose is the most important predictive dosimetric factor for RIBN. Dmax < 69.59 Gy is the recommended brainstem limiting dose [15]. In addition, other recently published studies reported that radiation-induced temporal lobe necrosis is one of the late complications after radiation therapy in patients with nasopharyngeal carcinoma. Its incidence also depends on the dose and RT technique [16,17]. However, there are limited studies reporting the risk of brain necrosis and the updated risk of CAS after radiation therapy, so we conducted this study using recent NHIRD big data to examine whether the incidence of CAS and RIBN is associated with radiation therapy dose and other risk factors. In addition, it is important to remind young radiation oncologists of such delayed radiation-related toxicities and develop effective new strategies to prevent them earlier.

2. Methods

2.1. Data Source and Study Design

This was a retrospective population-based cohort study analyzing data retrieved from the catastrophic illness patient dataset (HV) of the Taiwan National Health Insurance Research Database (NHIRD) from 1 January 2008 to 31 December 2020 [18]. The NHIRD contains comprehensive information on the healthcare utilization of Taiwan National Health Insurance beneficiaries. The analyzed database of all claims was de-identified and all information with patients’ identifiers in the NHIRD was double-encrypted to protect patient confidentiality. The health insurance database was provided for research only. This study was approved by the Research Ethics Committee of China Medical University and Hospital (CMUH109-REC2-031(CR-3)).

2.2. Study Population

We identified patients with a diagnosis of head and neck cancers, including lip, oral cavity, larynx, oropharynx, nasopharynx and hypopharynx cancers (based on ICD-9 codes 161 and 140.0–149.9; ICD-10: C76, C00-C14), from January 2008 to December 2020. All patients investigated in this study received IMRT radiotherapy. We divided the cohort of patients into two groups: those received a radiation dose (RT) ≥5400 cGy/30 fractions and those who received a dose <5400 cGy/30 fractions. Based on the literature review and the local radiation oncologist’s clinical experience, the minimum dose to control clinically negative necks (cN0) is 5400 cGy/30 fractions [19,20]. According to NCCN guidelines, the intent of radiotherapy in our country is as a definitive radiation therapy [21]. The cohort was further identified after 1:1 propensity score matching by sex, age, the index date, comorbidities and Charlson comorbidity index (CCI). The index date was defined as the date on which head and neck cancer patients received their first radiation therapy prescription after diagnosis. Patients were excluded if they had a diagnosis of CAS or RIBN or received radiation therapy before the index date. We also excluded patients who were <20 years old and followed-up for less than 1 year.

2.3. Main Outcome and Potential Confounding Factors

The primary outcome of this study was the incidence of carotid artery stenosis (ICD-9: 437, 427.8; ICD-10: I65.21–I65.29, I67.2, I77.1) or brain necrosis (ICD-9: 437.8, ICD-10: G46.3–G46.8) after radiation therapy. We also assessed the potential confounding factors that occurred before the index date, including patient demographic and clinical features, such as age and comorbidities, including hyperlipidemia (ICD-9: 272, ICD-10: E78), hypertension (ICD-9: 401–405, ICD-10: I10–I15), cerebrovascular events (ICD-9: 437.9, ICD-10: I67.9), coronary artery disease (ICD-9: 410–414, ICD-10: I10–I16), atrial fibrillation (ICD-9: 427.3, ICD-10: I48.9), congestive heart failure (ICD-9: 428, ICD-10: I50), myocardial infarction (ICD-9: 410, ICD-10: I21,I22), peripheral artery disease (ICD-9: 443.9, ICD-10: I73.9) and smoking status (ICD-9: 305.1, V15.82, ICD-10: F17.2, Z87.891). The Charlson comorbidity index was also used to assess the influence of the comorbidities on the survival rate. We further linked to the Taiwan Cancer Registry database to identify radiation doses and determine the tumor grade of HNC types. The tumor grades defined by the National Cancer Institute are grade X: grade cannot be assessed (undetermined grade); grade 1: well differentiated (low grade); grade 2: moderately differentiated (intermediate grade); grade 3: poorly differentiated (high grade); and grade 4: undifferentiated (high grade) [22]. The higher the grade, the more abnormal the cells look, the faster they are likely to grow and spread, and the poorer the prognosis.

2.4. Statistical Analysis

We used chi-square tests to compare patient characteristics between the two groups and t-tests to estimate the mean age of patients. The incidence rate was calculated in units of 1000 person-years. Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) for the risk of CAS and RIBN between the two groups. The Kaplan–Meier method was used to estimate the cumulative incidence of CAS and RIBN in the two groups, and the log-rank test was used to compare the differences. All statistical analyses were conducted using SAS 9.4 (SAS Institute Inc., Cary, NC, USA) and R (version 4.0.3 for Windows R). Differences were considered statistically significant if p < 0.05.

2.5. Sensitivity Analyses

Sensitivity analyzes were performed to test the main outcomes of CAS and RIBN incidence. The first scenario reruns the model in patients who received radiation therapy and those who did not. The procedure for testing the second scenario of RIBN patients is the same as that for the first scenario.

3. Results

A total of 27,787 patients with HNC aged ≥20 years were identified as the eligible study cohort (mean age 54.86 years). After propensity score 1:1 matching, the cohort was divided into two groups. A total of 19,964 patients with HNC who received a radiation therapy dose of ≥5400 cGY/30 fractions and 19,964 patients who received a radiation therapy dose of <5400 cGY/30 fractions were identified and defined as group A and group B, respectively (Figure 1). The daily therapeutic dose/fraction in most of the patients was 180 cGy/fraction for 30 days and 200 cGy/fraction for 27 days. The radiation’s biologically effective dose (BED) of patients in groups A and B was 63.72 Gy and 64.80 Gy, respectively [23]. Patient characteristics between the two groups did not show significant differences, except for primary site and cancer grade (Table 1). The incidence rate/1000 person-years was 8.57 in group A versus 8.61 in group B. In a multivariate regression analysis model, a non-significantly increased risk of CAS in group A compared with group B was observed (aHR = 1.05; 95% CI 0.95, 1.16, p = 0.329). For RIBN, group A had a significantly increased risk of developing RIBN than group B (aHR = 1.29, 95% CI: 1.11–1.5, p < 0.001) (Table 2).
In the data in Table 3, we found significant differences between the patients that received radiation therapy at doses ≥5400 cGy/30 fractions compared with those that received radiation therapy at doses <5400 cGy/30 fractions. In a multivariate regression analysis model adjusting for all potential clinical confounders, which showed that male patients, age between 20 and 59 years and a follow-up period longer than 6 years were associated with a significantly increased risk of CAS and RIBN. Among the comorbidities, hyperlipidemia and hypertension showed statistically and non-statistically significantly higher risks of RIBN and CAS in patients who received radiation therapy at doses ≥5400 cGy/30 fractions compared with patients who received radiation therapy at doses <5400 cGy/30 fractions. Patients who received radiation therapy at a dose of ≥5400 cGy/30 fractions had a significantly and non-significantly higher cumulative incidence of RIBN or CAS and a higher overall mortality rate than those whose dose was <5400 cGy/30 fractions (Figure 2).

4. Sensitivity Analysis

Sensitivity analyses in two different scenarios showed similar results for CAS and RIBN compared with the original scenarios (CAS: aHR, 1.04; 95% CI, 0.84, 1.02; RIBN: aHR, 1.24; 95% CI, 1.06 to 1.45) (Figure 3). The results were robust.

5. Discussion

To the best of our knowledge, this is the first study to examine the relationship between the radiation therapy dose and radiation therapy-induced late toxicities in a large real-world claim database. The results of our study show significantly increased risk of RIBN between patients that received an RT dose of ≥5400 cGy/30 fractions and of <5400 cGy/30 fractions. This result may be supported by recently published studies showing that the incidence of RIBN depends on the RT technique and dose. They concluded that a radiation dose of 66 to 70 Gy is required for the gross tumor volume (GTV) and 54 to 60 Gy is required for the clinical target volume (CTV). The CTV covers the microscopic, unimaginable extent of tumor spread. Since some types of HNC, such as NPC, often invade the skull base, the temporal lobe (TL) is inevitably included in the radiation field, and some vital structures receive more than 60 Gy of radiation [16]. For CAS, a recently published study may support our choice of ≥5400 cGy/30 fraction as the study grouping criterion. They recommended the use of dose restriction to the carotid artery in IMRT replanning, reducing the mean carotid artery dose to 54 Gy [20].
Another important factor associated with a significantly increased risk of CAS and RIBN is the time interval between radiation therapies. Cheng et al. and Carpenter DJ et al. showed that patients who received treatment for more than 5 years and 6.5 years had greater risk of having carotid artery stenosis (CAS) than those with fewer than 5 years and 6.5 years of follow-up, with an overall prevalence of 21% [12,24,25]. These studies can serve as supporting evidence for our research. We observed a significantly increased risk for patients whose follow-up interval of radiation therapy was more than 6.0 years (72 months). The mean interval of follow-up of over 6 years is also consistent with the recently published literature of Taiwanese Data [12]. Therefore, routine screening is recommended for patients who have received radiation therapy for more than 5 years.
Meanwhile, the RIBN latency reported in our study was longer than that reported in the recently published studies performed by Fan X et al. [15]. They reported that the median time to RIBN after treatment was 28.5 months (2.3 years), but the incidence rate was almost the same (1.25% versus ours, 1.249%). The difference may be due to the earlier use of modern IMRT techniques in Taiwanese hospitals. This low incidence of RIBN may be attributable to the advantages of IMRT, including dose gradient changes and brain hotspots. Since the target area in the treatment plan of nasopharyngeal carcinoma is close to many important organs, how to focus the hotspot on the surface of the brain lesion and whether the dose distribution conforms to the anatomical contour may depend on the quality of radiation therapy planning by experienced radiation oncologists or the development of consensus guidelines to standardize contouring [26]. We believe that the maximum tolerated dose of IMRT to the brain injury lesion and the dose distribution planning technique that conforms to the anatomical contour are also the most important parameters for the induction of RIBN. Comprehensive identification and delineation of organs at risk are critical to the quality of radiation therapy planning and the safe delivery of treatment. Furthermore, our results for clinical confounders were similar to those of previous studies, such as host-related (i.e., age, smoking, hypertension, diabetes) and tumor-related factors (i.e., tumor grade), which were reported to be associated with RIBN [15,27].
RIBN and progressive CAS are serious complications in HNC patients receiving radiation therapy. Due to the lack of effective treatment, RIBN was considered progressive and irreversible in the past. In recent years, bevacizumab, nerve growth factors and gangliosides have been used to treat RIBN; they have achieved similar positive results and are considered cost-effective methods [28]. However, because early prevention is better than salvage, an advanced radiological technique, IMRT, has been used to avoid surrounding normal organs or tissues at risk of receiving high-dose radiation or to reduce the maximum dose to brain tissue to avoid or reduce the occurrence of RIBN in clinical daily practice, and the results are remarkable [20]. For CAS prevention, this is used in addition to carotid duplex sonography after radiation therapy to prevent future ischemic stroke [29]. Recently, some researchers have proposed grouping possible toxicities in HNC patients receiving radiotherapy into toxicity domains and constraining doses to a limited set of OAR in all patients to prevent a few toxicities, such as a mean dose to both parotid glands < 25 Gy to reduce the risk of xerostomia or mean dose to pharyngeal constrictors < 50 Gy to reduce the risk of dysphagia [30,31]. A normal tissue complication probability (NTCP) model was developed to achieve an optimal balance between tumor control and toxicity prevention in individual patients by minimizing radiation doses to all relevant OARs simultaneously to prevent many toxicities [32]. Overall, the role of high-precision radiotherapy technology may help to discriminate the risk of side effects from nearby healthy tissues and organs that should be protected or to deliver large, precise radiotherapy doses to smaller tumor areas, such as brachytherapy, intensity-modulated radiotherapy, proton beam therapy, imaging guided radiotherapy, stereotactic radiotherapy, etc. These advanced technologies clearly delineate the OARs in the process of treatment planning contouring [33].
This study has some limitations. First, there is no radiation therapy dose in the research data base, which may limit the results of our analysis. Second, the currently used ICD CODE cannot clearly distinguish the primary site of HNC, resulting in a high proportion of HNC with unspecified primary sites in this study. Third, confounding factors due to treatment planning techniques not documented by the database may limit the interpretation of CAS progression and RIBN. Fourth, advanced cerebral vascular imaging, such as positron emission tomography, computed tomography angiography, magnetic resonance angiography or conventional angiography, is not routinely scheduled as a confirmatory study at the time of CAS progression or RIBN. This may lead to widespread negligence or a lack of awareness among radiation oncologists and is an issue that needs to be addressed in our medical reimbursement coverage. However, these conditions may be offset by the robust results of the sensitivity analysis.

6. Conclusions

Our results may provide further evidence for all radiation oncologists and healthcare professionals to implement effective follow-up strategies and develop practical guidelines for HNC patients with high-risk CAS or RIBN after RT. To ensure patient safety during treatment, developing new strategies to reduce doses to organs at risk may prevent the persistence of long-term side effects. These new recommendations are worthwhile and require larger amounts of clinical evidence to evaluate them [31].

Author Contributions

Conceptualization and supervision S.-Y.W.; software, data curation and statistical analysis, C.-L.L.; methodology, formal analysis, original draft preparation, writing, A.L.F.C.; expert’s opinion, writing—review and editing H.W.C.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by An Nan hospital, China Medical University. Grant number: ANHRF112-33.

Institutional Review Board Statement

Research Ethics Committee of China Medical University and Hospital (CMUH109-REC2-031(CR-3)).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author due to privacy.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

RTRadiation therapy
HNCHead and neck cancer
CASCarotid artery stenosis
RIBNRadiation-induced brain necrosis
HRHazard ratio
CIConfidence interval

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Figure 1. Flow chart of participants selection and study design. RIBN, radiotherapy induced brain necrosis Dose ≥ 30 times (≥5400 cGy/30 fraction).
Figure 1. Flow chart of participants selection and study design. RIBN, radiotherapy induced brain necrosis Dose ≥ 30 times (≥5400 cGy/30 fraction).
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Figure 2. Cumulative incidence of carotid artery stenosis and brain necrosis among head and neck patients with radiation doses cGy5400 ≥ 30 fractions vs. < cGy5400/30 fractions. Incidence rate of (A) carotid artery stenosis; (B) radiation-induced brain necrosis; (C) overall mortality rate.
Figure 2. Cumulative incidence of carotid artery stenosis and brain necrosis among head and neck patients with radiation doses cGy5400 ≥ 30 fractions vs. < cGy5400/30 fractions. Incidence rate of (A) carotid artery stenosis; (B) radiation-induced brain necrosis; (C) overall mortality rate.
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Figure 3. Sensitivity analysis. (A) Adjusted hazard ratio of brain necrosis. (B) Adjusted hazard ratio of carotid artery stenosis. Remarks: * Adjusted for sex, age, comorbidities, CCI category and primary site of head and neck cancer, tumor grade. ** Adjusted for sex, age, CCI category, comorbidities, primary site of Head and neck cancer, tumor grade. HRadj: adjusted hazard ratio.
Figure 3. Sensitivity analysis. (A) Adjusted hazard ratio of brain necrosis. (B) Adjusted hazard ratio of carotid artery stenosis. Remarks: * Adjusted for sex, age, comorbidities, CCI category and primary site of head and neck cancer, tumor grade. ** Adjusted for sex, age, CCI category, comorbidities, primary site of Head and neck cancer, tumor grade. HRadj: adjusted hazard ratio.
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Table 1. Characteristics of patients with HNC.
Table 1. Characteristics of patients with HNC.
Radiotherapy* Dose < 30 Fractions* Dose ≥ 30 Fractions
N = 19,964N = 19,964
Variablesn%n%p-Value
Gender 0.562
      female294314.74290214.54
      male17,02185.2617,06285.46
Age, years 0.756
      20–5913,52467.7413,49567.60
      60+644032.26646932.40
      Mean, (SD)54.86(11.46)54.89(11.43)0.782
Primary site specified <0.001
      Oropharynx1080.542801.40
      Nasopharyngeal11445.73349417.50
      Hypopharynx2571.298914.46
      Larynx1880.943511.76
      Oral cavity70.04180.09
      Sinus/Nasal cavity290.15690.35
      Parotid1910.961960.98
      Submandibular710.36780.39
Primary site unspecified17,96990.0114,58773.07
Comorbidities
      Hyperlipidemia573328.72569628.530.682
      Cerebrovascular events1760.882001.000.214
      Hypertension783939.27779339.040.637
      Coronary artery disease317215.89313215.690.583
      Atrial Fibrillation2111.062361.180.234
      Myocardial infarction3671.843461.730.427
      Peripheral artery disease2651.332941.470.217
      Smoking8684.358654.330.941
Charlson comorbidity index, CCI0.136
      0–213,82169.2313,95869.92
      3+614330.77600630.08
Tumor Grade <0.001
      1303615.2117278.65
      2439822.03559428.02
      38084.0518479.25
      48344.18245312.29
      X10,88854.54834341.79
Remarks: * Radiotherapy Dose 30 fractions: treatment course of cGy5400/30 fractions for HNC.
Table 2. Hazard ratio of carotid artery stenosis/brain necrosis for HNC patients with radiotherapy dose.
Table 2. Hazard ratio of carotid artery stenosis/brain necrosis for HNC patients with radiotherapy dose.
Carotid Artery Stenosis
VariableNPYIRaHR(95% CI)p-Value
Radiotherapy dose
      <cGy 5400/30 fractions965112,077.728.611.00(reference)-
      ≥cGy 5400/30 fractions863100,648.578.571.05(0.95, 1.16)0.329
      female25035,636.747.021.00(reference)-
      male1578177,089.558.911.44(1.26, 1.65) <0.001
      20–59950147,311.826.451.00(reference)-
      60+87865,414.4613.421.66(1.51, 1.83) <0.001
      Mean, (SD) 1.03(1.03, 1.04) <0.001
Primary site
      Oropharynx131525.208.521.00(reference)-
      Nasopharyngeal18122,256.508.131.05(0.58, 1.90)0.862
      Hypopharynx374449.108.320.94(0.50, 1.76)0.836
      Larynx131934.676.720.67(0.31, 1.44)0.299
      Oral cavity83047.802.620.32(0.13, 0.78)0.012
      Other1576179,513.018.780.85(0.49, 1.47)0.561
Comorbidities
      Hyperlipidemia69458,765.5911.811.17(1.06, 1.30) 0.002
      Cerebrovascular events351887.1818.551.37(0.98, 1.92)0.065
      Hypertension103578,685.5413.151.71(1.55, 1.90) <0.001
      Coronary artery disease45632,478.6714.041.12(0.99, 1.26)0.070
      Atrial fibrillation351952.3017.931.26(0.90, 1.78)0.177
      Myocardial infarction262589.3210.040.80(0.53, 1.18)0.260
      Peripheral artery disease352717.4312.881.10(0.79, 1.54)0.574
Smoking567481.597.490.97(0.74, 1.27)0.838
Charlson comorbidity index
      0–21251157,356.677.951.00(reference)-
      3+57755,369.6110.421.09(0.99, 1.21)0.088
Tumor Grade
      114424,243.785.941.00(reference)-
      229847,113.456.331.08(0.88, 1.32)0.450
      38812,068.657.291.20(0.92, 1.58)0.179
      412115,524.157.791.36(0.98, 1.88)0.063
      X1177113,776.2510.341.60(1.34, 1.91) <0.001
Brain Necrosis
VariableNPYIRaHR(95% CI)p-Value
Radiotherapy dose
      <cGy 5400/30 fractions359114,571.103.131.00(reference)-
      ≥cGy 5400/30 fractions435102,141.314.261.29(1.11, 1.5) <0.001
Sex
      female12436,211.083.421.00(reference)-
      male670180,501.343.711.28(1.06, 1.56)0.012
Age, years
      20–59503149,255.573.371.00(reference)-
      60+29167,456.844.311.16(0.99, 1.35)0.067
      Mean, (SD) 1.01(1.01, 1.02) <0.001
Primary site specified
      Oropharynx71545.294.531.00(reference)-
      Nasopharyngeal11122,413.714.950.88(0.39, 2.00)0.760
      Hypopharynx184470.404.030.83(0.35, 1.99)0.679
      Larynx61948.323.080.73(0.24, 2.17)0.565
      Oral cavity + Sinus/Nasal
      cavity + Parotid + Submandibular
103051.793.280.77(0.29, 2.02)0.591
Primary site unspecified642183,282.913.500.56(0.26, 1.18)0.124
Comorbidities
      Diabetes28060,331.794.561.16(1.01, 1.37) 0.040
      Hyperlipidemia28160,341.794.661.18(1.01, 1.39) 0.041
      Cerebrovascular events91968.254.570.93(0.48, 1.79)0.822
      Hypertension39581,100.884.871.60(1.37, 1.88)<0.001
      Coronary artery disease15633,592.774.640.94(0.77, 1.14)0.519
      Atrial fibrillation162013.677.951.89(1.14, 3.14) 0.014
      Myocardial infarction102635.583.791.01(0.53, 1.92)0.984
      Peripheral artery disease142793.475.011.23(0.72, 2.09)0.451
Smoking327541.604.241.47(1.03, 2.11) 0.033
Charlson comorbidity index, CCI
      0–2570160,208.353.561.00(reference)-
      3+22456,504.063.961.17(0.99, 1.37)0.064
Tumor Grade
      16624,566.412.691.00(reference)-
      215747,527.173.301.20(0.90, 1.61)0.215
      33012,242.172.450.81(0.52, 1.26)0.343
      48815,598.745.641.76(1.12, 2.78) 0.015
      X453116,777.933.881.08(0.83, 1.40)0.563
Remarks: N, patient number; PY, person-year; IR: incidence rate per 1000 person-years; aHR, adjusted hazard ratio; significant. p < 0.05.
Table 3. Comparison of CAS or RIBN risks in patients with doses ≥30 vs. ≤30 fractions associated with all covariates.
Table 3. Comparison of CAS or RIBN risks in patients with doses ≥30 vs. ≤30 fractions associated with all covariates.
Carotid Artery Stenosis
Radiotherapy Dose <cGY5400/30 Fractions≥cGY5400/30 Fractions
VariablesNNaHR(95% CI)p-Value
Sex
      female153970.70(0.54, 0.9)0.006
      male8127661.10(1.00, 1.22) 0.054
Age, years
      20–594744761.17(1.03, 1.33) 0.015
      60+4913870.89(0.78, 1.02)0.095
Primary site specified
      Oropharynx + Oral cavity + Sinus/Nasal
      cavity + Parotid + Submandibular
5161.40(0.50, 3.91)0.516
      Nasopharyngeal391420.70(0.48, 1.00)0.050
      Hypopharynx6311.22(0.51, 2.92)0.663
      Larynx580.73(0.24, 2.24)0.581
Primary site unspecified9106661.03(0.94, 1.14)0.502
Comorbidities
      Diabetes3583341.08(0.91, 1.23)0.366
      Hyperlipidemia3593351.04(0.90, 1.21)0.608
      Cerebrovascular events19160.82(0.42, 1.59)0.552
      Hypertension5564790.98(0.87, 1.11)0.754
      Coronary artery disease2591970.84(0.70, 1.01)0.066
      Atrial fibrillation14211.51(0.77, 2.97)0.234
      Myocardial infarction1880.53(0.23, 1.23)0.140
      Peripheral artery disease23120.52(0.26, 1.04)0.066
      Smoking23331.54(0.90, 2.65)0.113
Charlson comorbidity index, CCI
      0–26516001.05(0.94, 1.18)0.364
      3+3142630.99(0.84, 1.17)0.925
Tumor Grade
      175691.52(1.10, 2.11) 0.012
      21101881.29(1.02, 1.63) 0.035
      326620.96(0.61, 1.52)0.853
      428930.71(0.46, 1.09)0.117
      X7264510.99(0.88, 1.12)0.900
Follow-up time
      <6 years7075580.89(0.79, 1.00)0.051
      6+ years2583051.48(1.24, 1.76)<0.001
Brain Necrosis
VariablesNNaHR(95% CI)p-Value
Sex
      female57671.33(0.94, 1.90)0.112
      male3023681.5(1.29, 1.75) <0.001
Age, years
      20–592102931.69(1.42, 2.02) <0.001
      60+1491421.15(0.91, 1.44)0.244
Primary site specified
      Oropharynx + Larynx + Oral
      cavity + Sinus/Nasal cavity + Parotid + Submandibular
3202.94(0.87, 9.94)0.083
      Nasopharyngeal19920.85(0.52, 1.41)0.532
      Hypopharynx3151.22(0.35, 4.24)0.751
Primary site unspecified3343081.33(1.14, 1.55)<0.001
Comorbidities
      Diabetes1301481.17(0.90, 1.50)0.206
      Hyperlipidemia1311501.35(1.06, 1.7)0.013
      Cerebrovascular events451.46(0.39, 5.46)0.577
      Hypertension1902051.29(1.06, 1.57) 0.012
      Coronary artery disease81751.09(0.79, 1.49)0.608
      Atrial fibrillation1330.22(0.06, 0.78) 0.019
      Myocardial infarction551.29(0.36, 4.62)0.700
      Peripheral artery disease681.83(0.63, 5.35)0.270
      Smoking15171.41(0.70, 2.84)0.335
Charlson comorbidity index, CCI
      0–22483221.57(1.33, 1.85)<0.001
      3+1111131.25(0.96, 1.63)0.092
Tumor Grade
      131351.72(1.06, 2.80) 0.028
      2541031.46(1.05, 2.02) 0.026
      39210.87(0.40, 1.89)0.719
      417710.77(0.45, 1.31)0.335
      X2482051.33(1.10, 1.60) 0.003
Follow-up time
      <6 years1651740.89(0.71, 1.12)0.333
      6+ years1942611.67(1.38, 2.03) <0.001
Notes: N: number of patients; HR: hazard ratio.
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MDPI and ACS Style

Leung, H.W.C.; Wang, S.-Y.; Lin, C.-L.; Chan, A.L.F. Radiation Dose-Induced Carotid Artery Stenosis and Brain Necrosis in Head and Neck Cancer—A Real World Cohort Study. Cancers 2024, 16, 2982. https://doi.org/10.3390/cancers16172982

AMA Style

Leung HWC, Wang S-Y, Lin C-L, Chan ALF. Radiation Dose-Induced Carotid Artery Stenosis and Brain Necrosis in Head and Neck Cancer—A Real World Cohort Study. Cancers. 2024; 16(17):2982. https://doi.org/10.3390/cancers16172982

Chicago/Turabian Style

Leung, Henry W. C., Shyh-Yau Wang, Cheng-Li Lin, and Agnes L. F. Chan. 2024. "Radiation Dose-Induced Carotid Artery Stenosis and Brain Necrosis in Head and Neck Cancer—A Real World Cohort Study" Cancers 16, no. 17: 2982. https://doi.org/10.3390/cancers16172982

APA Style

Leung, H. W. C., Wang, S. -Y., Lin, C. -L., & Chan, A. L. F. (2024). Radiation Dose-Induced Carotid Artery Stenosis and Brain Necrosis in Head and Neck Cancer—A Real World Cohort Study. Cancers, 16(17), 2982. https://doi.org/10.3390/cancers16172982

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