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Objective:To investigate the value of peripheral blood neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and serum lactate dehydrogenase (LDH) levels for predicting the occurrence of radiation pneumonia (RP) in small cell lung cancer.Methods:A total of 84 patients with small cell lung cancer who received image-guided radiotherapy in Xuzhou Cancer Hospital between September 2019 and September 2022 were retrospectively analyzed. They were divided into an RP group ( n = 25) and a non-RP group ( n = 59) according to whether RP occurred. Peripheral blood NLR and PLR and serum LDH levels were compared between the two groups before and after radiotherapy. The receiver operating characteristic curve (ROC curve) was used to analyze the value of peripheral blood NLR, PLR, and serum LDH levels for the diagnosis of RP in small cell lung cancer. Results:Before radiotherapy, there were no significant differences in peripheral blood NLR and PLR between the two groups (both P > 0.05). After radiotherapy, peripheral blood NLR and PLR in the RP group were (3.39 ± 0.81) and (129.06 ± 24.90), respectively, which were significantly higher than those in the non-RP group [(2.54 ± 0.71), (104.76 ± 26.26), t = 3.61, 3.83, both P < 0.05]. The NLR (2.86 ± 0.30) and PLR (110.07 ± 10.05) were the lowest in patients with grade 2 RP and they were highest in patients with grade 4 RP [(4.49 ± 0.63), (168.88 ± 14.11)]. The grade of RP was positively correlated with peripheral blood NLR and PLR. The sensitivity of peripheral blood NLR in the diagnosis of RP was 88.0%, the specificity was 66.1%, and the area under the curve (AUC) was 0.791. The sensitivity of PLR in the diagnosis of RP was 48.0%, the specificity was 94.9%, and the AUC was 0.735. The sensitivity of NLR combined with PLR in the diagnosis of RP was 92.0%, the specificity was 59.3%, and the AUC was 0.801. There was no significant difference in serum LDH levels between the two groups before and after radiotherapy (both P > 0.05). Logistic regression analysis showed that NLR and PLR were risk factors for RP in patients with small cell lung cancer ( OR = 2.309, 1.037; 95% CI: 1.061-5.024, 1.004-1.071). Conclusion:In patients with small cell lung cancer who develop RP, peripheral blood NLR, and PLR are markedly elevated compared with those in patients who do not develop RP, and combined detection of peripheral blood NLR and PLR has a high value for early diagnosis of RP in patients with small cell lung cancer.
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Objective:To investigate the incidence of radiation pneumonitis (RP) induced by 125I seed implantation for the treatment of malignant lung tumors and analyze related dosimetric parameters. Methods:A retrospective analysis was conducted on 31 cases of malignant lung tumors treated with 125I seed implantation from January 2017 to December 2022 at Hebei Provincial Tumor Radioactive Seeds Implantation Diagnosis and Treatment Center. These cases consisted of eight patients with squamous cell carcinoma, 10 patients with adenocarcinoma, and 13 patients with metastatic cancer in other sites. At 1-6 months after treatment, these patients received postoperative chest CT scans, with the efficacy evaluated based on the Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1), including the objective response rate (ORR) and the disease control rate (DCR). The efficacy of RP was evaluated using the Radiation Therapy Oncology Group (RTOG) criteria. Postoperative dosimetric parameters, including D90 (minimum peripheral dose received by 90% of the target volume), V8 (percentage of lung volume receiving 8 Gy), V32 (percentage of lung volume receiving 32 Gy), and Dmean (mean radiation dose) of the affected lung, were statistically analyzed. The relationships of the RP occurrence with postoperative D90, V8, V32, and Dmean were analyzed by comparison with relevant external radiotherapy data, to identify the parameters that are correlated closely with RP occurrence. Results:All the patients underwent successful surgeries. The postoperative efficacy evaluation after six months showed complete response (CR) in 11 cases, partial response (PR) in 11 cases, stable disease (SD) in eight cases, and progressive disease (PD) in one case, with an overall response rate (ORR) of 71.0%, and a disease control rate (DCR) of 96.8%. Three patients suffered RP, with an incidence rate of 9.7%. Postoperative V8, V32, and Dmean could not serve as predictive indicators for RP. Follow-up observation revealed that three RP cases (3/5) exhibited postoperative D90 exceeding 170 Gy and no RP cases (0/26) showed postoperative D90 below 170 Gy. Conclusions:In the treatment of malignant lung tumors with 125I seed implantation, there is a certain correlation between RP and postoperative D90, while there is no correlation between it and V8, V32, and Dmean.
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Objective:To evaluate the effect of hyperthermia on radiation pneumonitis (RP) in elderly patients with esophageal cancer undergoing intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 177 elderly esophageal cancer patients (aged ≥60 years) receiving IMRT in the First Affiliated Hospital of Soochow University and Yixing Cancer Hospital from August 1, 2017 to February 6, 2023 were retrospectively analyzed. Patients were divided into the hyperthermia and non-hyperthermia groups based on whether they received hyperthermia treatment. Patients in two groups received IMRT with 6 MV X-rays. Patients in the hyperthermia group underwent high-frequency hyperthermia within 1 h before radiation using the external thermotherapy device HG-2000Ⅲ (heating temperature: 41-43 ℃ for 40 min, twice a week). After adjusting for confounding factors between two groups using propensity score matching (PSM), the short-term effective rates between two groups were compared using Chi-square test. Univariate analysis and logistic multivariate analysis were employed to compare the incidence of RP between two groups. Results:After applying PSM, 42 pairs were successfully matched, and the baseline data and radiotherapy parameters showed no statistically significant differences between two groups (all P>0.05). The objective response rate (ORR) in the hyperthermia group was significantly higher than that in the non-hyperthermia group (83.3% vs. 64.3%, P=0.047). Univariate analysis revealed that the incidence of RP and symptomatic RP (≥ grade 2) in the hyperthermia group was significantly lower than that in the non-hyperthermia group (61.9% vs. 85.7%, P=0.013; 21.4% vs. 47.6%, P=0.012). Logistic multivariate analysis indicated that hyperthermia was an independent protective factor for symptomatic RP ( P=0.011). Conclusions:The incidence and severity of RP in elderly esophageal cancer patients receiving IMRT can be reduced by hyperthermia. Hyperthermia, as a clinically beneficial green treatment, improves efficacy and reduces toxicity for patients with esophageal cancer.
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Radiation pneumonitis and pulmonary fibrosis are important dose-limiting side effects of radiotherapy that influence the prognosis and quality of life of patients with thoracic cancer. The disorder of the immune system plays a key role, especially macrophages. With the discovery of underlying molecular mechanisms, including the chemotaxis and polarization of macrophages, the infiltration of inflammatory cells, the release of inflammatory and pro-fibrotic factors, extracellular matrix deposition and the remodeling of lung structure, increasing strategies are under investigation to facilitate the prevention or treatment of lung injury via targeting macrophages. In this paper, the role of macrophages in the development of radiation pneumonitis, pulmonary fibrosis, and potential drug use strategies were reviewed.
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As a non-invasive image analysis method, radiomics can deeply explore the clinical information hidden behind medical images, and has been widely used in medicine in recent years. Consolidation immunotherapy after concurrent chemoradiotherapy has become the standard treatment for locally advanced non-small cell lung cancer. The prediction and identification of treatment-associated adverse events radiation pneumonitis (RP) and immune checkpoint inhibitor-related pneumonitis (CIP) are of vital importance for the formulation of treatment plan and the selection of subsequent treatment. CT-based radiomics analysis shows great potential in predicting and identifying RP and CIP.
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Objective:To investigate the effects of intensity modulated radiation therapy (imRT) and risk factors of radiation pneumonia caused by imRT in elderly patients with esophageal cancer.Methods:The clinical data of 80 elderly patients diagnosed with esophageal cancer and performed imRT in Traditional Chinese Medicine Hospital of Kunshan from February 2018 to February 2020 were analyzed, and the therapeutic effect and the incidence of adverse reactions were counted.Results:In the 80 patients, 13 patients occurred radiation pneumonia.The results of univariate analysis showed that the gender, smoking history, pathological stage and age had no correlation with radiation pneumonia ( P> 0.05), while tumor location, diabetes, concurrent chemotherapy, reradiotherapy and chronic obstructive pulmonary disease had correlation with the occurrence of radioactive pneumonia ( P<0.05). The levels of V30, V35, V40 between radioactive pneumonia patients and non-radioactive pneumonia patients had no significant differences ( P>0.05), but the levels of V5, V10, V15, V20 and mean lung dose(MLD) between radioactive pneumonia patients and non-radioactive pneumonia patients had significant differences ( P<0.05). The effect of imRT was no remission in 9 cases (11.25%), partial remission in 59 cases (73.75%) and complete remission in 12 cases (15.00%), and the clinical effective rate was 88.75%(71/80). By comparing the adverse reactions caused by imRT, it was found that the incidence of radiation esophagitis, leukopenia, and acute radiation pneumonia were 93.75%(75/80), 12.50%(10/80) and 22.50%(18/80), respectively, with grade 1 and grade 2 adverse reactions. Conclusions:Risk factors for radiation pneumonia in elderly patients with esophageal cancer after imRT include tumor location, diabetes, V5, V10, V15, V20, MLD, concurrent chemotherapy, reradiotherapy and chronic obstructive pulmonary disease.
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Radiation pneumonia is a side effect that cannot be ignored in the current radiation therapy for lung cancer. At present, there are studies and reports of the introduction of functional imaging technology into lung cancer radiotherapy plans, in which 4DCT has better application prospects in radiotherapy for lung cancer because of its advantages of simple operation, high spatial resolution and no additional cost, etc. Compared with single-photon emission computed tomography (SPECT)-CT, positron emission tomography (PET)-CT, MRI has a better application prospect in radiotherapy of lung cancer. The use of 4DCT to obtain the patient's lung function status can predict radiation pulmonary toxicity and assist clinicians to deliver prompt interventions. Moreover, it can help carry out radiotherapy for functional lung avoidance, mitigate the damage of normal lung tissues, and alleviate chest toxicity, which may have wider application value in the future. In this article, research progress on functional lung imaging algorithms based on 4DCT and the application of radiation therapy for lung cancer was reviewed.
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Objective:To construct a predictive nomogram incorporating pretreatment CT-based radiomics for radiation pneumonitis (RP) in esophageal cancer (EC) patients treated with intensity-modulated radiotherapy (IMRT), and to evaluate the value of CT radiomics in predicting RP.Methods:Clinical data of 267 EC patients sequentially treated with IMRT in Quanzhou First Hospital affiliated to Fujian Medical University from January 2019 to December 2021 were prospectively analyzed. Among them, the first 206 patients were assigned into the training cohort and the last 61 patients were enrolled in the validation cohort. Radiomics features of bilateral lungs were extracted by radiotherapy CT simulation. Univariate analysis was performed to screen the potential predictive variables for symptomatic RP. Machine learning algorithms, such as least absolute shrinkage and selection operator (LASSO), extreme gradient boosting (XGboost), and support vector machine (SVM), were performed for radiomic features selection, respectively. The best classifier was chosen to construct a radiomic signature (RS). Clinical, radiomics and combined nomogram predictive model were developed, respectively. The predictive efficiency and clinical benefits of three models were compared by calculating the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve and decision curve analysis (DCA), and then validated in the validation cohort. Multivariate logistic regression analysis was conducted. Different ROC curves were compared by Delong test.Results:Cardiovascular disease, minimum internal diameter of esophagus and adjuvant chemotherapy and RS were the independent related factors of RP. The AUC of clinical, radiomics and combined models were 0.772, 0.745, 0.842 in the training cohort, and 0.851, 0.811, 0.901 in the validation cohort, respectively. DCA showed that combined radiomic model yielded better clinical benefits compared with clinical model.Conclusion:Radiomics features from pretreatment CT have the potential of improving the efficiency of RP prediction models for EC patients treated with IMRT.
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Radiation therapy is an effective method to kill cancer cells and shrink tumors using high-energy X-ray or γ-ray. Radiation pneumonitis (RP) is one of the most serious complications of radiation therapy for thoracic cancers, commonly leading to serious respiratory distress and poor prognosis. Here, we prepared curcumin-loaded mesoporous polydopamine nanoparticles (CMPN) for prevention and treatment of RP by pulmonary delivery. Mesoporous polydopamine nanoparticles (MPDA) were successfully synthesized with an emulsion-induced interface polymerization method and curcumin was loaded in MPDA via π‒π stacking and hydrogen bonding interaction. MPDA owned the uniform spherical morphology with numerous mesopores that disappeared after loading curcumin. More than 80% curcumin released from CMPN in 6 h and mesopores recovered. CMPN remarkably protected BEAS-2B cells from γ-ray radiation injury by inhibiting apoptosis. RP rat models were established after a single dose of 15 Gy 60Co γ-ray radiation was performed on the chest area. Effective therapy of RP was achieved by intratracheal administration of CMPN due to free radical scavenging and anti-oxidation ability, and reduced proinflammatory cytokines, high superoxide dismutase, decreased malondialdehyde, and alleviated lung tissue damages were observed. Inhaled CMPN paves a new avenue for the treatment of RP.
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Objective:To build a predictive model for symptomatic radiation pneumonitis(RP) using the pretreatment CT radiomics features, clinical and dosimetric data of lung cancer patients by using machine learning method.Methods:A retrospective analysis of 103 lung cancer patients who underwent radiotherapy in the Affiliated Hospital of Jiangnan University from November 2018 to April 2020 was performed. Total normal lung tissues were segmented as an interested volume in pretreatment CT images, and then 250 radiomics features were extracted. The correlations of RP and clinical or dosimetric features were firstly investigated with univariate analysis. Then all clinical data, dosimetric data and CT radiomics features were collected and considered as predictors for modeling of RP grade ≥ 2. Features were selected through LASSO machine learning method, and the predictive model was built. Finally, nomogram for risk of RP were obtained according to the selected features.Results:The result of univariate analysis showed that symptomatic RP was significantly correlated with lung dosimetric parameters including mean lung dose (MLD), V20 Gy and V30 Gy( t=2.20, 2.34 and 2.93, P<0.05). Four features, including lung dose volume percentage V30 Gyand three radiomics features, entropy feature of GLCM, mean and median feature of wavelet histogram were selected among all clinical, dosimetric features and radiomics features. AUC of the predicted model obtained from selected features reached 0.757. For convenient clinical use, the nomogram were obtained, and then personalized RP risk prediction and early intervention could be performed according to this nomogram. Conclusions:Pretreatment CT radiomics and dosimetric features can be used in predicting symptomatic RP, which will be useful for advanced intervention treatment.
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At present, tumor therapy has entered the era of immunotherapy. However, in recent years, it has been found that the application of immune checkpoint inhibitors after chest radiotherapy can not only play a synergistic anti-tumor effect, but also cause radiation recall pneumonitis (RRP). RRP is a rare immune-related adverse reaction, which even leads to death in severe cases. It is of great significance to study the mechanisms and influencing factors of RRP caused by immune checkpoint inhibitors for strengthening the cognitive management of RRP and reducing the risk of RRP.
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Objective:To explore the potential of dosiomics in predicting the incidence of radiation pneumonitis by extracting dosiomic features of definitive radiotherapy for lung cancer, and building a machine learning model.Methods:The clinical data, dose files of radiotherapy, planning CT and follow-up CT of 314 patients with lung cancer undergoing definitive radiotherapy were collected retrospectively. According to the clinical data and follow-up CT, the radiation pneumonia was graded, and the dosiomic features of the whole lung were extracted to establish a machine learning model. Dosiomic features associated with radiation pneumonia by LASSO-LR with 1000 bootstrap and AIC backward method with 1000 bootstraps were selected. Training cohort and validation cohort were randomly divided on the basis of 7:3.Logistic regression was used to establish the prediction model, and ROC curve and calibration curve were adopted to evaluate the performance of the model.Results:A total of 120 dosiomic features were extracted. After LASSO-LR dimensionality reduction, 12 features were selected into the "feature pool".After AIC, 6 dosiomic features were finally selected for model construction. The AUC of training cohort was 0.77(95% CI: 0.65 to 0.87), and the AUC of validation cohort was 0.72 (95% CI: 0.64 to 0.81). Conclusion:The dosiomics prediction model has the potential to predict the incidence of radiation pneumonia, but it still needs to include multicenter data and prospective data.
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BACKGROUND@#The incidence of symptomatic radiation pneumonitis (RP) and its relationship with dose-volume histogram (DVH) parameters in non-small cell lung cancer (NSCLC) patients receiving epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) and concurrent once-daily thoracic radiotherapy (TRT) remain unclear. We aim to analyze the values of clinical factors and dose-volume histogram (DVH) parameters to predict the risk for symptomatic RP in these patients.@*METHODS@#Between 2011 and 2019, we retrospectively analyzed and identified 85 patients who had received EGFR-TKIs and once-daily TRT simultaneously (EGFR-TKIs group) and 129 patients who had received concurrent chemoradiotherapy (CCRT group). The symptomatic RP was recorded according to the Common Terminology Criteria for Adverse Event (CTCAE) criteria (grade 2 or above). Statistical analyses were performed using SPSS 26.0.@*RESULTS@#In total, the incidences of symptomatic (grade≥2) and severe RP (grade≥3) were 43.5% (37/85) and 16.5% (14/85) in EGFR-TKIs group vs 27.1% (35/129) and 10.1% (13/129) in CCRT group respectively. After 1:1 ratio between EGFR-TKIs group and CCRT group was matched by propensity score matching, chi-square test suggested that the incidence of symptomatic RP in the MATCHED EGFR-TKIs group was higher than that in the matched CCRT group (χ2=4.469, P=0.035). In EGFR-TKIs group, univariate and multivariate analyses indicated that the percentage of ipsilateral lung volume receiving ≥30 Gy (ilV30) [odds ratio (OR): 1.163, 95%CI: 1.036-1.306, P=0.011] and the percentage of total lung volume receiving ≥20 Gy (tlV20) (OR: 1.171, 95%CI: 1.031-1.330, P=0.015), with chronic obstructive pulmonary disease (COPD) or not (OR: 0.158, 95%CI: 0.041-0.600, P=0.007), were independent predictors of symptomatic RP. Compared to patients with lower ilV30/tlV20 values (ilV30 and tlV20<cut-off point values) and without COPD, patients with higher ilV30/tlV20 values (ilV30 and tlV20>cut-off point values) and COPD had a significantly higher risk for developing symptomatic RP, with a hazard ratio (HR) of 1.350 (95%CI: 1.190-1.531, P<0.001).@*CONCLUSIONS@#Patients receiving both EGFR-TKIs and once-daily TRT were more likely to develop symptomatic RP than patients receiving concurrent chemoradiotherapy. The ilV30, tlV20, and comorbidity of COPD may predict the risk of symptomatic RP among NSCLC patients receiving EGFR-TKIs and conventionally fractionated TRT concurrently.
Subject(s)
Humans , Carcinoma, Non-Small-Cell Lung/radiotherapy , ErbB Receptors/genetics , Lung Neoplasms/radiotherapy , Protein Kinase Inhibitors/adverse effects , Pulmonary Disease, Chronic Obstructive/complications , Radiation Pneumonitis/etiology , Radiotherapy Dosage , Retrospective StudiesABSTRACT
Objective:To investigate the effect of diabetes on the occurrence of early adverse reactions of intensity-modulated radiotherapy in patients after radical mastectomy for breast cancer.Methods:The clinical data of 102 breast cancer patients who underwent intensity-modulated radiotherapy after radical mastectomy for breast cancer in Nanjing Drum Tower Hospital Group Suqian Hospital from October 2014 to December 2020 were retrospectively analyzed, including 32 cases in the diabetes group and 70 cases in the non-diabetes group. The incidence of early adverse reactions of intensity-modulated radiotherapy in the two groups was compared, the effects of blood glucose before radiotherapy on the early adverse reactions of intensity-modulated radiotherapy and the lymphocyte count before and after intensity-modulated radiotherapy were analyzed.Results:There were 9 cases (28.1%) and 1 case (3.1%) of grade 1 and 2 acute radiation pneumonitis in the diabetes group, and 6 cases (8.6%) and 1 case (1.4%) in the non-diabetes group, respectively, and there was a statistical difference between the two groups ( χ2 = 7.22, P = 0.027). Grade 1-3 acute radiation dermatitis occurred in 16 cases (50.0%), 13 cases (43.8%) and 3 cases (6.2%) in the diabetes group, and 53 cases (75.7%), 15 cases (21.4%) and 2 cases (2.9%) in the non-diabetes group, respectively, and the difference between the two groups was statistically significant ( χ2 = 6.99, P = 0.030). According to the level of fructosamine before radiotherapy, the patients with diabetes were divided into normal blood glucose control group (fructosamine ≤2.5 mmol/L) and poor blood glucose control group (fructosamine >2.5 mmol/L), and there was statistical difference in the morbidity of acute radiation dermatitis between the two groups ( P = 0.039). Before radiotherapy, there was no significant difference in lymphocyte count between the normal and poor blood glucose control groups ( P > 0.05). After radiotherapy, the lymphocyte count in both groups was significantly lower than that before radiotherapy, and the decrease was more obvious in the poor blood glucose control group, the difference was statistically significant ( P = 0.021). Conclusions:The postoperative patients with breast cancer complicated with diabetes have a high incidence of acute radiation pneumonia and acute radiation dermatitis. Patients with poor blood glucose control are more likely to have acute radiation dermatitis.
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Objective:To analyze the incidence, risk factors and occurrence time of radiation pneumonia (RP) and immune checkpoint inhibitor-related pneumonia (CIP) in patients with lung cancer and lung metastatic cancer who received both thoracic radiotherapy and immunotherapy.Methods:The clinicopathological data of 137 patients with lung cancer and lung metastatic cancer receiving thoracic radiotherapy and at least one cycle of immunotherapy from January 2019 to January 2022 in Renmin Hospital of Wuhan University were retrospectively analyzed. The occurrence of RP and CIP was determined according to the clinical symptoms and thin-slice chest CT. The risk factors of symptomatic RP were evaluated by univariate and multivariate analyses of clinical data and treatment plan. The relationship between the occurrence time of symptomatic RP and the sequence of thoracic radiotherapy and immunotherapy was compared.Results:In the 137 patients with lung cancer and lung metastatic cancer who received both thoracic radiotherapy and immunotherapy, symptomatic RP was observed in 42 patients (30.7%) , including grade 2 RP in 33 patients (24.1%) , grade 3 RP in 6 patients (4.4%) , grade 4 RP in 1 patient (0.7%) , and grade 5 RP in 2 patients (1.5%) . The incidence of symptomatic RP was 40.0% (28/70) in patients who received thoracic radiation concurrent with immunotherapy and 20.9% (14/67) in non-synchronous patients, and the incidence of severe RP was 10.0% (7/70) and 3.0% (2/67) respectively. CIP was observed in 11 (8.0%) of 137 patients, including grade 2 CIP in 4 patients (2.9%) , grade 3 CIP in 6 patients (4.4%) , grade 5 CIP in 1 patient (0.7%) . There were 54.5% (6/11) of CIP patients with prior or concurrent symptomatic RP. Univariate analysis showed that smoking history ( χ2=9.85, P=0.002) , chronic obstructive pulmonary disease (COPD) history ( χ2=31.34, P<0.001) , thoracic radiotherapy concurrent with immunotherapy ( χ2=5.88, P=0.015) , total radiotherapy dose ( χ2=8.57, P=0.003) were associated with symptomatic RP. Multivariate logistic regression analysis showed that COPD history ( OR=9.96, 95% CI: 3.40-29.14, P<0.001) , thoracic radiotherapy concurrent with immunotherapy ( OR=2.84, 95% CI: 1.15-7.00, P=0.024) , and total radiotherapy dose ≥60 Gy ( OR=4.76, 95% CI: 1.68-13.50, P=0.003) were independent risk factors for symptomatic RP. RP occurred earlier in patients who received immunotherapy before thoracic radiotherapy [68.5 d (47.0 d, 101.8 d) ] than in patients who received immunotherapy after thoracic radiotherapy [117.5 d (79.0 d, 166.3 d) ], with a statistically significant difference ( Z=2.54, P=0.010) . Conclusion:The incidence of symptomatic RP is high in patients who receive both thoracic radiotherapy and immunotherapy. The history of COPD, thoracic radiotherapy concurrent with immunotherapy, and the total radiotherapy dose ≥60 Gy are independent influencing factors of symptomatic RP in patients with thoracic radiotherapy combined with immunotherapy. Symptomatic RP occurs earlier in patients who receive immunotherapy before thoracic radiotherapy than in patients who receive immunotherapy after thoracic radiotherapy.
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Objective To analyze the correlation between ≥grade 2 radiation pneumonitis (RP) and dose volume parameters of elderly patients with esophageal cancer after three-dimensional conformal radiotherapy. Methods We collected the data of 250 elderly patients with esophageal cancer who received three-dimensional conformal radiotherapy from different medical centers. The clinical features of patients were analyzed by Chi-square test while dose volume parameters were analyzed by Logistic univariate and multivariate analyses. ROC curve was used to determine the best cut-off value. Results After three-dimensional conformal radiotherapy, 20% of patients developed ≥grade 2 RP. Univariate analysis showed that bilateral pulmonary V5, V10, V20, V30 and mean lung dose were associated with ≥grade 2 RP but multivariate analysis revealed that only V5 and V20 were independent relevant factors of RP. ROC curve indicated that the best cut-off value was V5 < 52.9% and V20 < 23.2%. Conclusion Bilateral pulmonary V5 and V20 are independently related to ≥grade 2 RP in elderly patients with esophageal cancer after 3-D conformal radiotherapy.
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Objective:To investigate the value of CD4/CD8 ratio and total B lymphocytes before radiotherapy in predicting the occurrence of radiation pneumonitis (RP) in patients with esophageal cancer and lung cancer.Methods:The clinicopathological data of 28 patients with esophageal and 16 patients with lung cancer undergoing radiotherapy from April 2018 to March 2020 in Hefei Cancer Hospital, Chinese Academy of Sciences were retrospectively analyzed, and the patients were divided into RP group ( n=16) and non-RP group ( n=28) according to whether RP occurred during and after treatment. The CD4/CD8 ratio and total B lymphocytes before radiotherapy between the two groups, and the CD4/CD8 ratio and total B lymphocytes before and after radiotherapy in the RP group were compared. Receiver operating characteristic curve was used to analyze the value of CD4/CD8 ratio and total B lymphocytes before radiotherapy in predicting RP. Results:The CD4/CD8 ratio before radiotherapy in the RP group was significantly lower than that in the non-RP group (0.993±0.179 vs. 1.708±0.170), with a statistically significant difference ( t=2.706, P=0.009); the total B lymphocytes in the RP group was significantly lower than that in non-RP group [(4.409±0.823)% vs. (8.153±1.017)%], with a statistically significant difference ( t=0.986, P=0.015). The CD4/CD8 ratio in the RP group was lower than that before radiotherapy when RP occurred (0.785±0.167 vs. 0.993±0.179), with no statistically significant difference ( t=1.376, P=0.189). The total B lymphocytes in the RP group was lower than that before radiotherapy when RP occurred [(3.487±1.018)% vs. (4.409±0.823)%], with no statistically significant difference ( t=0.804, P=0.433). The critical values of CD4/CD8 ratio and total B lymphocytes predicted RP were 0.580 and 0.357, respectively. The areas under the curve (AUC) of CD4/CD8 for predicting RP was 0.802 (95% CI: 0.653-0.932), the sensitivity was 89.29%, and the specificity was 68.75%. The AUC of total B lymphocytes for predicting RP was 0.694 (95% CI: 0.483-0.814), the sensitivity was 85.71%, and the specificity was 50.00%. The AUC of the two combined diagnostic method for RP was 0.834 (95% CI: 0.697-0.932), the sensitivity and specificity were 81.25% and 89.29%. AUC of the two combined tests was significantly higher than that of the single test, with statistically significant differences ( Z=1.115, P=0.046; Z=1.992, P=0.026). Conclusion:The CD4/CD8 ratio and total B lymphocytes in the RP group are lower than those in the non-RP group. The CD4/CD8 ratio and total B lymphocytes in the serum are of great significance in predicting the occurrence of RP in patients with malignant tumors receiving chest radiotherapy.
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Objective:To develop and validate a nomogram model for predicting radiation-induced pneumonitis in esophageal cancer based on CBCT radiomics characteristics combined with clinical characteristics and lung dosimetric parameters.Methods:Clinical data, dosimetric parameters and CBCT images of 96 patients with thoracic middle esophageal squamous cell carcinoma treated by intensity-modulated radiation therapy (IMRT) from 2017 to 2019 were analyzed retrospectively. The CBCT images of each patient in three different time periods were obtained. All patients were assigned randomly into the primary cohort ( n=67) and validation cohort ( n=29). Double lungs were selected as the region of interest (ROI), and 3D-slicer software was used for image segmentation and feature extraction. The LASSO regression were applied to identify candidate radiomic features and construct the Rad-score. The optimal time period, clinical and dosimetric parameters were selected to construct the nomogram model, and then the area under the receiver operating characteristic curve (AUC) was used to evaluate the prediction effect of the model. Results:The predictive capacity of the model in the first time period was the highest. In the primary cohort, the AUC was 0.700(95% CI: 0.568-0.832), the sensitivity was 61.5%, and the specificity was 75.0%. In the validation cohort, the AUC was 0.765(95% CI: 0.588-0.941), the sensitivity was 84.6% and the specificity was 64.7%, respectively. In the combined nomogram model, the AUC in the primary cohort was 0.836(95% CI: 0.700-0.918), the sensitivity was 96.0% and the specificity was 54.8%. In the validation cohort, the AUC was 0.905(95% CI: 0.799-1.000), the sensitivity was 92.9% and the specificity was 73.3%, respectively. The diagnostic efficiency of combined nomogram model was the best. Conclusions:The nomogram model based on early lung CBCT radiomics has certain predictive efficiency for RP. The model of lung CBCT radiomics in early stage of radiotherapy can predict RP of esophageal cancer. The nomogram model based on Rad-score combined with V 5Gy, MLD and tumor stage yields better predictive accuracy, which can be used as a quantitative prediction model for RP.
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Objective:To compare the incidence of radiation pneumonitis (RP) between lung cancer patients from the European, American and Asian regions.Methods:The studies related to lung cancer and RP were searched from PubMed, Embase, and Cochrane library. According to the different places where the studies were conducted, the searched studies were divided into two types: Asian studies and European, American and Australian studies. The incidence of RP between two regions was summarized. Studies related to dosimetry parameters were searched from PubMed database.Results:A total of 3, 190 patients from 14studies were included. Meta-analysis results showed that the incidence of ≥ grade 3 RP was similar in patients from Asia and Europe, America and Australia (4.9% vs. 4.6%, P=0.895), whereas the incidence of grade 5 RP in Asia was significantly higher than that in Europe, America and Australia (1.5% vs. 0.2%, P=0.002). Moreover, the lung irradiation dose received by the patients in the Asian group was relatively low. Lung V 20Gy dose limitation standard was reported in 21studies. Further analysis found no statistical significance in lung V 20Gy dose limitation standard between two regions ( P=0.440), and the standard in Asian studies is likely to be even stricter. Conclusions:The incidence of RP after chemoradiotherapy in lung cancer patients in Asia is relatively higher compared with those in Europe, America and Australia. The differences in dose limitation standard should be noted when the thoracic radiation regimen based solely on the data from foreign studies is applied to the patients in Asia.
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Objective:To analyze and explore the common radiomics features of radiation pneumonitis (RP) in patients with lung cancer and esophageal cancer, and then establish a prediction model that can predict the occurrence of RP in two types of cancer after radiotherapy.Methods:Clinical data of 100 patients with stage Ⅲ lung cancer and 100 patients with stage Ⅲ esophageal cancer who received radical radiotherapy were retrospectively analyzed. The RP was graded by imaging data and clinical information during follow-up, and the planning CT images were collected. The whole lung was used as the volume of interest to extract radiomics features. The radiomics features, clinical and dosimetric parameters related to RP were analyzed, and the model was constructed by machine learning.Results:A total of 1691 radiomics features were extracted from CT images. After ANOVA and LASSO dimensionality reduction in lung cancer and esophageal cancer patients, 8 and 6 radiomics features associated with RP were identified, and 5 of them were the same. Using the random forest to construct the prediction model, lung cancer and esophageal cancer were alternately used as the training and validation sets. The AUC values of esophageal cancer and lung cancer as the independent validation set were 0.662 and 0.645.Conclusions:It is feasible to construct a common prediction model of RP in patients with lung cancer and esophageal cancer. Nevertheless, it is necessary to further expand the sample size and include clinical and dosimetric parameters to increase its accuracy, stability and generalization ability.