426
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Fahimian B, Yu V, Xing L, Horst K, Hristov D. Prone Partial Breast Coronal Arc Irradiation: Combining Intensity Modulated Delivery With Dynamic Motion of the Couch. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.555] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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427
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Wu P, Dong X, Xing L, Wan H, Fu Z, Yin Y, Sun X, Yu J. Tumor 18 F-FDG Heterogeneity Assessed by PET Image Texture Analysis and Its Impact on Target Delineation for Esophageal Squamous Cell Carcinoma. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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428
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Wang L, Mok E, Xing L, Le Q. Monte Carlo Dose Calculations for IMRT Head-and-Neck Patients With Dental Fillings Using the Phase Space Files for LINAC. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.2172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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429
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Na Y, Suh T, Xing L. Ultra-Fast Multiobjective Optimization of VMAT Treatment Using Emerging Cloud Computing Platform. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.2082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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430
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Lee H, Fahimian B, Xing L. Binary Moving Blocker-based Scatter Correction for Single Scan Cone Beam CT System With Off-Centered Detector. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.2132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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431
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Wang L, Mok E, Xing L, Khong B, Hara W, Le Q. Feasibility of Optimizing IMRT Plans Based on Measured Mucosal Dose to Adjacent Metallic Dental Fillings for Head-and-Neck Cancer Patients. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.1225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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432
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Zhang J, Xing L, Xu D, Liu F, Yu X, Tian Y. Radiation Therapy in Combination With Nimotuzumab in Elderly Patients With Locally Advanced Squamous Cell Lung Cancer: A Pilot Study. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.1531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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433
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Carpenter C, Liu H, Sun C, Pratx G, Chang Z, Xing L. FDG-Cerenkov Imaging: A Molecular Approach to Real-time Treatment Guidance. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.2323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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434
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Geneser S, Kirby N, Xing L, Pouliot J. The Impact of Errors in Nonrigid Medical Image Registration Methods on Dose Warping Accuracy. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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435
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Zhu WQ, Sun X, Xing L, Li M, Yue J, Qu W, Sun X, Kong L, Yu J. Oesophageal squamous cell carcinoma: relationship between fluorine-18 fludeoxyglucose positron emission tomography CT maximum standardised uptake value, metabolic tumour volume, and tumour, node and metastasis classification. Br J Radiol 2012; 85:e383-7. [PMID: 22815420 DOI: 10.1259/bjr/79854022] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVES We aimed to evaluate the relationships between primary tumour, maximum standardised uptake value, metabolic tumour volume and seventh edition American Joint Committee on Cancer (AJCC) classification in oesophageal squamous cell carcinoma (OSCC) patients. METHODS Fluorine-18 fludeoxyglucose ((18)F-FDG) positron emission tomography (PET)-CT scans of 41 consecutive newly diagnosed OSCC patients were retrospectively reviewed. Maximum standard uptake value (SUV(max)) and metabolic tumour volume (MTV) were recorded. Two-tailed Spearman's correlation was used to analyse the relationships between the metabolic parameters and the AJCC staging system. RESULTS Positive correlations were observed between SUV(max), MTV and tumour (T) stage, in addition to node (N) stage and AJCC stage. Both metabolic parameters were independent variables that significantly affected the N stage and AJCC stage, and SUV(max) was the only independent variable that significantly affected the T stage. CONCLUSION The metabolic parameters derived from (18)F-FDG PET-CT were positively correlated with T, N and AJCC stage in primary OSCC. Our findings may suggest a complementary role of these parameters to seventh-edition AJCC staging in the prognostication of OSCC patients.
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436
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Li ZZ, Zhao ZZ, Wen JG, Xing L, Zhang H, Zhang Y. Early alteration of urinary exosomal aquaporin 1 and transforming growth factor β1 after release of unilateral pelviureteral junction obstruction. J Pediatr Surg 2012; 47:1581-6. [PMID: 22901921 DOI: 10.1016/j.jpedsurg.2011.12.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2011] [Revised: 12/28/2011] [Accepted: 12/28/2011] [Indexed: 01/03/2023]
Abstract
BACKGROUND/PURPOSE Down-regulation of aquaporin 1 (AQP1) and up-regulation of transforming growth factor β(1) (TGF-β(1)) in the renal parenchyma have been demonstrated in children who underwent pyeloplasty for pelviureteral junction obstruction. However, no information about urinary exosomal AQP1 and TGF-β(1) during postobstructive polyuria in children with congenital unilateral hydronephrosis is available. The aim of the present study is to evaluate the urine concentration of exosomal AQP1 and TGF-β(1) on the first and the second day after surgery in children who underwent pyeloplasty. METHODS Twenty-two patients (age, 36.2 ± 17.1 months) with unilateral pelviureteral junction obstruction were examined in the study. For the first 2 days after the operation, the urine was collected separately from pyelostomy draining only from the postobstructed kidney and from the bladder catheter draining mostly from the contralateral kidney, which was used as an internal control. Urinary output, urinary osmolality, sodium, β(2)-microglobulin (β(2)-MG), and creatinine, as well as urinary exosomal AQP1 and TGF-β(1) excretion, were tested in each sample. RESULTS After pyeloplasty, a significantly decreased urinary excretion of exosomal AQP1 (≈ 64%) was found in the postobstructed kidney. The patients developed polyuria (807 ± 216 mL/24 h vs 484 ± 144 mL/24 h at day 1, 1021 ± 348 mL/24 h vs 603 ± 228 mL/24 h at day 2; P < .01) and reduced urine osmolality (115 ± 44 mOsm/kg vs 282 ± 61 mOsm/kg at day 1, 139 ± 39 vs 303 ± 46 mOsm/kg at day 2; P < .01) that persisted for 48 hours. In parallel, urinary TGF-β(1) and β(2)-MG (normalized for creatinine) from the postobstructed kidney were significantly higher compared with the contralateral kidney. The urine output and urinary sodium concentration from the postobstructed kidney elevated significantly on the second day after the release of obstruction compared with those on the first day. The contralateral kidney also showed same trends. CONCLUSIONS The down-regulation of urinary exosomal AQP1 in the postobstructed kidney may account for the polyuria, hypotonic urine, and elevated urinary β(2)-MG. The urinary TGF-β(1) level locally increased in the postobstructed kidney may be involved in renal AQP1 down-regulation.
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437
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Xiao X, Xing L, Xu H, Jiang Z, Su Q. [Bond strength evaluation of four adhesive systems to dentin in vitro]. HUA XI KOU QIANG YI XUE ZA ZHI = HUAXI KOUQIANG YIXUE ZAZHI = WEST CHINA JOURNAL OF STOMATOLOGY 2012; 30:343-349. [PMID: 22934484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVE To compare the adhesive strength and observe the bonding interface. According to statistic analysis and scanning electron microscope (SEM) observation, the resistance capacity of four adhesive systems is evaluated. METHODS Prime & Bond NT (PBNT), Tetric N-Bond (TNB), Clearfil SE Bond (CSEB), G Bond (GB) were bonded to the occlusal surfaces and mesial surfaces of third molars respectively. The mesial resins received shear force experiment and the fracture load were recorded. The tensile bond strength (TBS) of the remaining parts were tested. The interfacial configuration were observed under SEM. RESULTS In the shear bond strength (SBS) experiment, PBNT and TNB showed the best result, but there was no significant difference between them (P>0.05). The SBS of PBNT was stronger than that of CSEB and GB (P<0.05). The SBS of TNB was stronger than that of GB (P<0.05). There was no significant difference between TNB and CSEB (P>0.05). In accordance with the shear force result, the TBS of PBNT and TNB was larger than CSEB and GB (P<0.05). Under SEM, resin tags of PBNT and TNB were longer and slender, the bonding layer was thick. Resin tags of CSEB were shorter, the ones of GB were the fewest and shortest. CONCLUSION Compared to self-etching system, total-etching system could reach better bonding strength. There is some connection between the interfacial configuration of adhesives and bond strength of them.
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438
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Wen JG, Yang L, Xing L, Wang YL, Jin CN, Zhang Q. A Study on Voiding Pattern of Newborns With Hypoxic Ischemic Encephalopathy. Urology 2012; 80:196-9. [DOI: 10.1016/j.urology.2012.02.044] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2011] [Revised: 02/20/2012] [Accepted: 02/27/2012] [Indexed: 10/28/2022]
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439
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Wang L, Xing L, Le Q. SU-E-T-492: The Dosimetric and Clinical Impact of the Metallic Dental Implants on Radiation Dose Distributions in IMRT Head and Neck Cancer Patients. Med Phys 2012; 39:3818. [DOI: 10.1118/1.4735581] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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440
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Wu J, Fahimian B, Wu H, Xing L. TU-E-BRB-08: Dual Gated Volumetric Modulated Arc Therapy. Med Phys 2012; 39:3909. [DOI: 10.1118/1.4735957] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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441
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Ding C, Solberg T, Xing L, Heinzerling J, Timmerman R. SU-E-T-451: Optimization of Normalized Prescription Isodose Selection for Stereotactic Radiation Therapy: Conventional Vs. Robotic Linac. Med Phys 2012; 39:3808-3809. [DOI: 10.1118/1.4735540] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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442
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Phillips T, Martin L, Kornblum H, Xing L. SU-E-T-03: Justification and Feasibility of Neural Stem Cell Sparing in Whole Brain Irradiation Using VMAT. Med Phys 2012; 39:3702-3703. [DOI: 10.1118/1.4735057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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443
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Xing L, Fraass B, Ford E, Chang S. TU-E-211-01: Establishing Multidisciplinary Collaboration as a Medical Physicist. Med Phys 2012; 39:3907. [PMID: 28518665 DOI: 10.1118/1.4735946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Many medical physicists are scientists at heart and their career fulfillment includes a balance of clinical service and research development. Multidisciplinary collaboration is a great way for the medical physicists to advance science and technology of our fields and the fields of our collaborators. Cross-pollination among scientists of different fields has been the key for some of the most significant breakthroughs in science and medicine and produced some of the most rewarding experiences for the individuals involved. However, medical physicists face unique challenges in establishing multidisciplinary collaboration because our time and resources for research are often quite limited compared to basic scientists. Yet we medical physicists are uniquely positioned and have a tremendous opportunity to create/contribute to multidisciplinary research: our fields are already multidisciplinary in nature and hospital environment is problem rich. How do we establish and carry out research collaboration with scientists of other fields? How to balance research with your higher priority clinical service? How do you find the right multidisciplinary collaboration in your own environment? We will discuss the challenges, provide real exemplary solutions to the above questions, and offer advise to medical physicists who are interested in starting or improving their multidisciplinary collaboration. There are different kinds of multidisciplinary collaborations a medical physicist can create and participate at different involvement levels. Multidisciplinary collaboration is not for every medical physicist but for those who seek and devote time to it, the experience can be truly rewarding and the impact can be enormous. LEARNING OBJECTIVES 1. Learn the types of multidisciplinary collaboration medical physicists can created/participated 2. Learn the approaches and strategies to develop collaborations with scientists and professional of other fields3. Understand the challenges and different approaches to balance clinical service and multidisciplinary research collaboration.
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444
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Lee H, Fahimian B, Xing L. TU-A-213CD-09: A Binary Moving Blocker-Based Scatter Correction Technique for Cone-Beam CT with Width-Truncated Projections. Med Phys 2012. [DOI: 10.1118/1.4735888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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445
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Bazalova M, Kuang Y, Pratx G, Xing L. TH-A-213CD-01: Compton Scatter in X-Ray Fluorescence CT Imaging. Med Phys 2012. [DOI: 10.1118/1.4736537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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446
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Yu X, Wang Y, Li M, Su Q, Xu H, Xing L. [Effect of Toll-like receptor 2 and Toll-like receptor 4 on expression of receptor activator of nuclear factor-kappaB ligand in human periodontal ligament fibroblasts induced by lipopolysaccharide]. HUA XI KOU QIANG YI XUE ZA ZHI = HUAXI KOUQIANG YIXUE ZAZHI = WEST CHINA JOURNAL OF STOMATOLOGY 2012; 30:325-328. [PMID: 22768778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVE The aim of this study was to survey the influence of Toll-like receptor 2 (TLR2) and Toll-like receptor 4 (TLR4) repression to receptor activator of nuclear factor-kappaB ligand (RANKL) expression of human periodontal ligament fibroblasts (HPDLFs) under the stimulation of lipopolysaccharide (LPS). METHODS The level of RANKL in HPDLFs stimulated by 100 ng x mL(-1), 1 microg x mL(-1) and 10 microg x mL(-1) Escherichia coli (E. coli) LPS after 6, 12, 24 and 48 h was detected by enzyme linked immunosorbent assay (ELISA). The level of RANKL in HPDLFs stimulated by 1 microg x mL(-1) E. coli LPS after pretreatment with different titre anti-TLR2+anti-TLR4, anti-TLR2 and anti-TLR4 antibody were observed respectively. RESULTS RANKL was detected at 6 h after stimulation with LPS, and the levels of these cytokine were highest at 24 h, and then gradually decreased. The regularity of each LPS concentration was approximately similar. After pretreatment with anti-TLR2+anti-TLR4, anti-TLR2 and anti-TLR4 antibody, the level of RANKL was significantly decreased under the stimulation of 1 microg x mL(-1) LPS (P<0.05). In the three groups, the expression of RANKL was significantly different (P<0.05). The level of RANKL in anti-TLR2+anti-TLR4 antibody pretreatment group was the lowest, the level in anti-TLR4 antibody pretreatment group was higher, and the level in anti-TLR2 antibody pretreatment group was the highest. CONCLUSION TLR2 and TLR4 participate in the process of RANKL expres-in HPDLFs induced by LPS. Anti-TLR4 antibody has better inhibition effect to RANKL expression of HPDLFs stimulated by LPS than anti-TLR2.
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447
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Atwood T, Xing L, Hristov D. SU-E-T-217: Automated Data Mining of Lung SBRT Cases for Predicting Dosimetric Indices in Prospective Plans. Med Phys 2012; 39:3753. [DOI: 10.1118/1.4735279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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448
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Li R, Xing L. SU-D-BRA-01: Accurate Real-Time Tumor Motion Estimation from Respiratory Surrogates via Memory-Based Learning. Med Phys 2012; 39:3616. [PMID: 28517431 DOI: 10.1118/1.4734679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Respiratory tumor motion is a major challenge in radiation therapy. Effective beam gating or tracking approaches necessitate an accurate knowledge of the real-time tumor motion. Fluoroscopic tracking with implanted fiducial markers is invasive and exposes the patient to additional imaging dose. Respiratory surrogate signal measured by external noninvasive and non-ionizing devices provides an attractive approach, in which estimating the tumor motion from respiratory surrogates is crucial. METHODS We utilize a powerful memory-based learning approach to find the complex relations between tumor motion and respiratory surrogates. The learning method uses locally weighted functions to interpolate between and extrapolate from training data. Due to the local nature of the learning functions, it is inherently robust to outliers. Moreover, both training and adapting to new data is highly efficient and almost free, making it suitable for dynamically following possibly variable internal/external relations. We evaluated the method using respiratory motion data (3D tumor motion plus 1D surrogate) from six patients (three lung and three pancreas patients). RESULTS Given only 5-sec (roughly one breath) pretreatment training data, the method achieved an average 3D error of 0.37 mm (range: 0.10 mm - 1.06 mm) and 95th percentile error of 0.86 mm (range: 0.24 mm - 2.47 mm) on 120-sec unseen test data. These errors are well below the average peak- to-peak amplitude (-10 mm). The errors decrease monotonically with an increasing amount of training data. Compared with the best linear model, the learning approach achieved a 21% reduction in error for an average patient (range: 10% - 42%). CONCLUSIONS The memory-based learning technique is able to accurately capture the highly nonlinear and complex relations between tumor and surrogate motion in an efficient manner (∼1 ms per prediction). These desirable properties make it an ideal candidate for accurate and robust tumor gating/tracking using respiratory surrogates.
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449
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Carpenter C, Sun C, Pratx G, Chen K, Senadheera L, Xing L. TU-A-BRA-04: Real-Time Metabolic Image-Guidance to Aid Intraoperative Radiation Therapy: Pilot Results in a Small-Animal Model. Med Phys 2012. [DOI: 10.1118/1.4735872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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450
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Shu J, Fang S, Teichman PG, Xing L, Huang H. Endometrial carcinoma tumorigenesis and pharmacotherapy research. MINERVA ENDOCRINOL 2012; 37:117-132. [PMID: 22691886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Endometrial carcinoma is the common malignant tumor of the female genital tract, and its incidence is increasing. Two different clinicopathological subtypes are recognized based on epidemiology, genetic carcinogenesis and clinical behavior. Understanding and identifying molecular biology and genetics is essential to the development of novel therapies. This article reviews the current understanding of its risk factors, recent conceptions on its tumorigenesis and advances on its drug therapies.
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MESH Headings
- Adenocarcinoma, Clear Cell/drug therapy
- Adenocarcinoma, Clear Cell/epidemiology
- Adenocarcinoma, Clear Cell/etiology
- Adenocarcinoma, Clear Cell/pathology
- Antineoplastic Agents/therapeutic use
- Antineoplastic Agents, Hormonal/therapeutic use
- Carcinoma, Endometrioid/drug therapy
- Carcinoma, Endometrioid/epidemiology
- Carcinoma, Endometrioid/etiology
- Carcinoma, Endometrioid/pathology
- Cell Transformation, Neoplastic
- Clinical Trials as Topic
- Cyclooxygenase 2 Inhibitors/pharmacology
- Cyclooxygenase 2 Inhibitors/therapeutic use
- Endometrial Neoplasms/drug therapy
- Endometrial Neoplasms/epidemiology
- Endometrial Neoplasms/etiology
- Endometrial Neoplasms/pathology
- Endometrial Neoplasms/prevention & control
- Estrogens/adverse effects
- Estrogens/physiology
- Female
- Humans
- Metformin/pharmacology
- Metformin/therapeutic use
- Molecular Targeted Therapy
- Neoplasm Proteins/antagonists & inhibitors
- Neoplasm Proteins/genetics
- Neoplasm Proteins/physiology
- Neoplasms, Hormone-Dependent/epidemiology
- Neoplasms, Hormone-Dependent/etiology
- Obesity/complications
- Obesity/metabolism
- Progesterone/deficiency
- Progesterone/physiology
- Risk Factors
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