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Showing 9 results for Duan
H. Wang, H. Chen, Y. Shao, H. Gu, Y. Duan, A. Feng, Dr. Z. Xu,
Volume 17, Issue 4 (10-2019)
Abstract
Background: During upper and middle esophageal cancer patients' radiation therapy, dose hot spots located in the normal portion of the esophagus (NPE) may increase radiation esophagitis, so NPE may also needs sparing. Automatic planning may have an advantage on sparing NPE over conventional trial-and-error type planning. We compared radiation esophagitis predicted by two esophageal NTCP models between different optimization strategies. Materials and Methods: 20 upper and middle esophagus cancer patients were reviewed and re-optimized by three strategies: autoplan in which NPE was not spared called A1 plan; trial-and-error type plan in which NPE was spared called T plan; autoplan in which NPE was spared called A2 plan.Dose volume parameters of four different esophagus structures were compared between three types of plans. Predicted radiation esophagitis between different optimization strategies were compared. Results: Target dose coverage of three types of plans all met clinical desires. Dose hot spots of ESOwhole-PGTV and ESOinfield-PGTV from A2 plans are lowest in 3 types of plans. While Dose hot spots of ESOwhole and ESOin field from T plans are highest.V60 and Dmax of four types of esophagus structures in A2 plans are lower than T plans. AET =2 probabilities predicted by Kwint modle for A2 plans are slightly lower than T plans, respectively 70.1±2.5%,76.9±3.2%,54.8±1.7% and 72.7±2.8%.AET=3 probabilities were also lowest for A2 plans. Standard deviation of dose volume parameters and AETs of four types of esophagus structures in automatic plans are significant less than T plans. Conclusion: Upper and middle esophagus cancer patients who received SIB-IMRT could benefited by a new NPE sparing technique by automatic planning. It may decrease patients’ radiation esophagitis.
Y.c. Ying, J.f. Cheng, H. Wang, H.l. Gu, H. Chen, Y. Shao, Y.h. Duan, A.h. Feng, X.l. Fu, Ph.d., H. Quan, Ph.d., Z.y. Xu,
Volume 18, Issue 4 (10-2020)
Abstract
Background: The grading evaluation of atlas based auto-segmentation (ABAS) of organs at risk (OARs) in thorax was studied. Materials and Methods: Forty patients with thoracic cancer were included in this study, and for each thirteen thoracic OARs were delineated by an experienced radiation oncologist. The patients were randomly grouped into the training and the test dataset (20 each). The investigated ABAS strategies included single-atlas (Single), majority voting with 5 atlas matches (MV5) and simultaneous truth and performance level estimation (STAPLE) with 5 atlas matches (ST5). The Dice similarity coefficient (DSC), the difference of the Euclidean distance between centers of mass (ΔCMD), the difference of volume (ΔV), maximum Hausdorff distance (MHD) and average Hausdorff distance (AHD) between auto-segmented and manual contours were calculated. Results: Most of the index values (33/65) of ST5 were optimal. There were differences in the grading results for the five indexes. With DSC, five, four and four OARs were graded into Level 3, Level 2 and Level 1, respectively. The mean DSC values ranged from 0.88 to 0.96, from 0.73 to 0.79, and from 0.53 to 0.62 for the Level 3, Level 2 and Level 1, respectively. Conclusion: Grading evaluation of ABAS of thoracic OARs based on the DSC proved to be feasible and relatively more reliable. The thoracic OARs auto-segmentation was divided into three levels based on the DSC. Level 3 OARs can be auto-segmented, Level 2 OARs delineations need to be manually modified after the auto-segmentation, and Level 1 OARs are not recommended for the auto-segmentation.
H. Chen, Y. Shao, H. Wang, H. Gu, Y. Duan, A. Feng, Y. Huang, Ph.d., C. Chen, Ph.d., Z. Xu,
Volume 20, Issue 2 (4-2022)
Abstract
Background: To investigate the performance of Auto-Planning intensity modulated radiation therapy (IMRT) plans for patients with central lung cancer and to determine whether Auto-Planning improves the quality of IMRT plans. Materials and Methods: Thirty patients treated with IMRT for central lung cancer were replanned with the Pinnacle3 Auto-Planning module. The dose distribution at the target, organ at risk (OAR) sparing, dose falloff in the five rings outside of target, monitor units (MUs), planning time, and dosimetric verification in terms of the γ passing rate were evaluated. A Wilcoxon signed-rank test was performed to assess differences between groups (p<0.05). Results: The target homogeneity in the Auto-Planning were significantly better than that in the manual plans, the target conformity in both groups were similar. The Auto-Planning plans yielded lower V5, V10, V13, V20, V30, V40 values, mean lung dose of total lung (p<0.01), and Dmax of spinal cord (p<0.01) and V30 of heart (p<0.01). No significant difference was found for the V40 of the heart (p=0.203). The Auto-Planning module reduced the Dmean, D2 and D5 values in all rings outside of PTV. The planning time was 52.5% shorter for Auto-Planning plans than for manual plans (p<0.01), and 4.4% additional MUs were required with Auto-Planning. No difference was observed for the γ passing rate. Conclusion: Auto-Planning for central lung cancer could improve homogeneity of target volumes, significantly delivery lower dose to OARs and steeper dose falloff outside of tumors while reducing the planning time.
C-H. Qin, S-J. Qiu, H-Z. Wang, F-H. Duan, D-L. Wu, Ph.d., X. Leng,
Volume 20, Issue 3 (7-2022)
Abstract
Background: To explore the changes of brain function and structure after radiotherapy (RT) for nasopharyngeal carcinoma (NPC), to investigate their correlation with altered cognitive function and to promote the recognition of radiation-induced brain injury (RBI). Materials and Methods: Resting-state functional MRI (rs-fMRI) and three dimensional (3D) T1-weighted imaging scans were conducted on 32 patients and 34 healthy subjects. Cognitive function was assessed in all subjects using multiple cognitive scales. Differences in regional homogeneity (ReHo) and brain gray matter (GM) volumes between groups were analyzed using the DPARSF package and VBM methods. Results: ReHo in Cerebelum_Crus2_L of the NPC patients was significantly higher than that in the controls, and was significantly correlated with memory, general cognitive function, and executive ability. The GM volumes in right fusiform gyrus (FFG.R), left temporal pole: middle temporal gyrus (TPOmid.L), left inferior temporal gyrus (ITG.L), Cerebelum_6_L, and left middle frontal gyrus (MFG.L) in the patients were significantly reduced compared with the controls, and were markedly correlated with multiple cognitive scale scores. Conclusion: Damage to brain after radiotherapy mostly involving the temporal lobe and cerebellum, manifested by a compensatory increase in ReHo and a decrease in GM volume, both of which were significantly correlated with multiple cognitive impairments. ReHo and brain GM volume can be considered as sensitive biomarkers to monitor RBI.
L. Duan, W. Shan, Dr. L. Guo, G. Bo,
Volume 20, Issue 3 (7-2022)
Abstract
Background: To study the relationship between high-resolution computed tomography (HRCT) signs and the pathological subtypes and differentiation degree of lung adenocarcinoma. Materials and Methods: We retrospectively reviewed HRCT images of 394 lung adenocarcinoma cases and compared the diversity of images among preinvasive lesions (PILs), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) and the differentiation degrees of IAC by Kruskal-Wallis and χ2 tests. Results: There were significant differences in the size, density and incidences of the pleura traction sign, spicule sign, lobulation sign, tumor vascular sign, bronchial cutoff sign, air bronchogram sign and cavity sign of PILs, MIA and IAC (χ2=2.172~247.077, P<0.05). The incidences of all these signs (except for the cavity sign) in IAC were higher than those in the other two groups (P<0.05). There were no significant differences in margin irregularity or vacuole signs among PILs, MIA and IAC (P>0.05). There were significant differences in the size, density, and incidences of margin irregularity, the pleura traction sign, the spicule sign, the lobulation sign, the tumor vascular sign, the bronchial cutoff sign and the cavity sign in the three differentiated subgroups (χ2=6.818~63.331, P<0.05). No significant differences were found in the air bronchogram sign and vacuole sign among the three differentiated subgroups (P>0.05). Conclusions: HRCT signs of lung adenocarcinoma are closely related to the pathological subtype and differentiation degree and have great value in helping predict tumor types and devise clinical treatment plans.
X. Li, Y. Duan, W. Liu, Z. Han, Z. Liang, Ph.d., R. Wang,
Volume 21, Issue 4 (10-2023)
Abstract
Background: The study aimed to elucidate the clinical application significance of prospective ECG-gated dual-source CT in central venous (CV) imaging. Materials and Methods: Eighty patients who took CT imaging of CV (CTV) check using dual-source Force CT were enrolled. The control group (helical pitch, 0.8; rotation speed, 0.5 s) and the experimental group (rotation speed, 0.25 s). For both groups, image quality and radiation dose were computed. Results: Cases in the experimental group required longer scanning durations than those in the contro lgroup. In respect to the experimental group, the image quality scores of the superior vena cava and left and right brachiocephalic veins of the patients sharply increased relative to those in the control group. Individuals in the experimental group also presented better image quality scores in left and right subclavian veins, left and right jugular veins, however, this difference was not statistically significant. Lastly, no increase in the radiation dose was bited with the application of prospective ECG gating. Conclusion: The clinical use of prospective ECG-gated technology significantly reduced cardiovascular pulsing artifact interference on the central vein, especially the superior vena cava segment, and remarkably improved the image quality without increasing the radiation dose to patients.
L. Peng, Q. Wu, R. Shi, H. Kong, W. Li, W. Duan, L. Zhu,
Volume 22, Issue 1 (1-2024)
Abstract
Background: Traditional diagnostic methods are limited in accuracy when detecting maxillary sinus fungal balls, leading to a higher risk of misdiagnosis or missed diagnosis. This study focuses on a deep learning-based algorithm for assisting in the localization and diagnosis of maxillary sinus fungal balls, addressing the limitations of conventional diagnostic procedures. Materials and Methods: Axial CT imaging data of maxillary sinus were collected from 107 patients, including 47 cases of maxillary sinus fungal balls, 30 cases of other maxillary sinus lesions and 30 cases of healthy maxillary sinus, based on which, a dataset was constructed and a two-stage assisted diagnosis algorithm consisting of a classification and detection model was established. In the first stage, slices containing maxillary sinus were classified and selected. In the second stage, the selected slices were detected to diagnose and localize the fungal ball lesions in the maxillary sinus. Results: The accuracy of the classification model was 92.71%, the mAP and AP50 of the detection model were 0.73 and 0.76, respectively, and the accuracy of the algorithm for the diagnosis of maxillary sinus fungal balls was 84.4%. Conclusion: It is feasible to develop a two-stage auxiliary diagnosis method for maxillary sinus fungal ball based on deep learning.
Ph.d., Y. Zhao, Y. Zhao, P. Li, X. Fu, J. Duan, Y. Tang, Y. Ma, M.d., Q. Zhou,
Volume 23, Issue 1 (1-2025)
Abstract
Background: Aurora-A kinase (Aurora-A) serves as an oncogene in many cancers, but whether its expression is linked to the stemness of lung cancer (LC) cells remains obscure. Hence, this study probed the impact as well as mechanism of Aurora-A in affecting the stemness of LC cells. Materials and Methods: Functional assays were implemented to assess the malignant behaviors along with stemness of LC cells. Western blot analysis detected the stemness markers together with the Wnt-β-catenin pathway-linked genes protein levels. TOP/FOP-Flash reporter assay assessed the activity of the Wnt/β-catenin pathway. Hematoxylin and eosin staining as well as immunohistochemistry analysis of tumor tissues were implemented. Results: Our findings indicated that Aurora-A was up-regulated in LC cells, and silenced Aurora-A hindered LC cell proliferation, migration, invasion along with stemness. Nuclear protein, coactivator of histone transcription (NPAT) was also high-expressed in LC cells, and was positively modulated by Aurora-A. Silenced NPAT inhibited LC cell malignant behaviors along with stemness. Aurora-A activated the Wnt/β-catenin pathway and promoted LC cell malignant behaviors along with stemness via regulating NPAT. In an established xenograft model, Aurora-A inhibition reduced tumor growth, metastasis along with stemness in vivo. Conclusion: In summary, Aurora-A/NPAT/Wnt-β-catenin signaling pathway accelerates LC cell malignant behaviors along with stemness. The modulation of Aurora-A might be an underlying therapeutic approach in LC patients.
X. Li, Z. Liang, Y. Duan, W. Liu, Z. Han, M.d., R. Wang,
Volume 23, Issue 2 (5-2025)
Abstract
Background: The design of this work was to explore the feasibility of optimizing computed tomography (CT) portal vein image quality and radiation dose by virtual single-energy imaging technology. Materials and Methods: Nighty-two patients who underwent dual-source CT (DSCT) examination in our hospital from September 2021 and August 2022 were selected as the study objects. They received CT scanning (90/Sn150 kV) and the images of 40 keV to 100 keV and M_0.6 linear fusion were obtained. The signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), subjective image quality, and radiation dose of different models were calculated. Results: Statistical significance in the subjective score of image quality was tested among all groups, and the 40 keV group had the highest score. The SD values in 40 keV to 60 keV were elevated, while were declined in 80 keV to 100 keV compared with the M_0.6 fusion image. CNR values in 40 keV to 70 keV groups were significantly higher, and in 90 keV to 100 keV were lower than those in M_0.6 group. SNR in the 40 keV group was significantly better than that in M_0.6 group. The average radiation doses were 6.12 ± 1.30 CTDIvol (mGy) and the radiation dose length product (DLP) was 304.3 ± 87.67 (mGy.cm). Conclusion: DSCT virtual single energy reconstruction technology could greatly improve image quality, and 40 keV single energy reconstruction had the best image quality.
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