Dr. Sibo Tian

About Dr. Sibo Tian

Dr. Sibo is a Head & neckREFERENCES researcher from Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia.. His recent research is on Survival advantage of chemoradiotherapy in anaplastic thyroid carcinoma: Propensity score matched analysis with multiple subgroups. which was published on Head Neck on 2019/12/17.

The DOI of the article Survival advantage of chemoradiotherapy in anaplastic thyroid carcinoma: Propensity score matched analysis with multiple subgroups. is 10.1002/hed.26042

The article has been published in the following journal:
United States Head Neck 8902541 1043-3074

Co-Authors:


List of co-authors for Survival advantage of chemoradiotherapy in anaplastic thyroid carcinoma: Propensity score matched analysis with multiple subgroups. :
Jeffrey M Switchenko
Teng Fei
Robert H Press
Mustafa Abugideiri
Nabil F Saba
Taofeek K Owonikoko
Amy Y Chen
Jonathan J Beitler
Walter J Curran
Theresa W Gillespie
Kristin A Higgins

What are Dr. Sibo Tian Specialties :


anaplastic thyroid carcinoma chemoradiation chemotherapy national cancer data base radiation therapy

List of Publications:

  1. Genomic Copy Number Variation Correlates With Survival Outcomes in WHO Grade IV Glioma
      Allele-specific copy number analysis of tumors (ASCAT) assesses copy number variations (CNV) while accounting for aberrant cell fraction and tumor ploidy. We evaluated if ASCAT-assessed CNV are associated with survival outcomes in 56 patients with WHO grade IV gliomas. Tumor data analyzed by Affymet …
  2. Optimal Timing of Chemoradiotherapy After Surgical Resection of Glioblastoma: Stratification by Validated Prognostic Classification
      The current data provide insight into the optimal timing of CRT in patients with glioblastoma and describe RPA class-specific outcomes. In general, short delays beyond 5 weeks did not negatively affect outcomes, whereas early initiation before 3 weeks may be detrimental.
  3. Pelvic Multi-Organ Segmentation on Cone-Beam CT for Prostate Adaptive Radiotherapy
      We developed a deep learning-based segmentation method to rapidly and accurately segment five pelvic organs simultaneously from daily CBCTs. The proposed method could be used in the clinic to support rapid target and organs-at-risk contouring for prostate adaptive radiation therapy.
  4. Examining the Use of Pre-Operative Radiation Therapy in Addition to Perioperative Chemotherapy: National Cancer Data Base vs. Surveillance, Epidemiology, and End Results
      Examining the Use of Pre-Operative Radiation Therapy in Addition to Perioperative Chemotherapy: National Cancer Data Base vs. Surveillance, Epidemiology, and End Results
  5. Lung Stereotactic Body Radiation Therapy and Concurrent Immunotherapy: A Multicenter Safety and Toxicity Analysis
      Overall, concurrent lung SBRT + ICI is safe. Given the clinically meaningful risk of pneumonitis, closer monitoring should be considered for SBRT + ICI patients, especially those receiving radiation therapy with ICI/ICI combinations.
  6. A Planning Study of Focal Dose Escalations to Multiparametric MRI-defined Dominant Intraprostatic Lesions in Prostate Proton Radiation Therapy
      This study investigated the planning of mp-MRI-guided DIL boost in prostate proton radiation therapy and estimated its clinical impact with respect to TCP and NTCP.
  7. Male Pelvic Multi-Organ Segmentation Aided by CBCT-based Synthetic MRI
      To develop an automated cone-beam computed tomography (CBCT) multi-organ segmentation method for potential CBCT-guided adaptive radiation therapy workflow. The proposed method combines the deep leaning-based image synthesis method, which generates magnetic resonance images (MRIs) with superior soft- …
  8. Survival Advantage of Chemoradiotherapy in Anaplastic Thyroid Carcinoma: Propensity Score Matched Analysis With Multiple Subgroups
      CRT is associated with decreased risk of death in ATC; the magnitude of CRT vs RT benefit varied by subgroup.
  9. CT Prostate Segmentation Based on Synthetic MRI-aided Deep Attention Fully Convolution Network
      We have proposed a novel CT-only prostate segmentation strategy using CT-based sMRI, and validated its accuracy against the prostate contours that were manually drawn on MRI images and deformed to CT images. This technique could provide accurate prostate volume for treatment planning without requiri …
  10. Synthetic MRI-aided Multi-Organ Segmentation on Male Pelvic CT Using Cycle Consistent Deep Attention Network
      We proposed a sMRI-aided multi-organ automatic segmentation method on pelvic CT images. By integrating deep attention and deep supervision strategy, the proposed network provides accurate and consistent prostate, bladder and rectum segmentation, and has the potential to facilitate routine prostate-c …
  11. Reduced-volume Tumor-Bed Boost Is Not Associated With Inferior Local Control and Survival Outcomes in High-Risk Medulloblastoma
      Reduced-volume radiotherapy boost to the TB does not appear to compromise LC or survival in patients with H-R medulloblastoma; it may reduce the risk of ototoxicity.
  12. Survival Outcomes in Patients With Gastric and Gastroesophageal Junction Adenocarcinomas Treated With Perioperative Chemotherapy With or Without Preoperative Radiotherapy
      The addition of preoperative radiotherapy to POC appears to be associated with an increased risk of death in patients with resectable gastric and GEJ cancers.
  13. Evaluation of a Deep Learning-Based Pelvic Synthetic CT Generation Technique for MRI-based Prostate Proton Treatment Planning
      The purpose of this work is to validate the application of a deep learning-based method for pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy treatment planning. We propose to integrate dense block minimization into 3D cycle-consistent generative adversarial netw …
  14. Strain Elastography as an Early Predictor of Long-Term Prognosis in Patients With Locally Advanced Cervical Cancers Treated With Concurrent Chemoradiotherapy
      • The D <sub>max</sub>as well as ΔD <sub>max</sub>at 2 weeks during CCRT can predict the responder outcomes. • The elastography parameters (SR and ΔSR) exhibited predictive values of favorable response after therapy initiation. • ΔSR at 2 weeks during CCRT held the best predictive value for the resp …
  15. Survival Outcomes With Thoracic Radiotherapy in Extensive-Stage Small-Cell Lung Cancer: A Propensity Score-Matched Analysis of the National Cancer Database
      Use of TRT after CT in ES-SCLC patients was associated with long-term survival; its use should be considered in addition to standard of care CT.
  16. MRI-based Treatment Planning for Liver Stereotactic Body Radiotherapy: Validation of a Deep Learning-Based Synthetic CT Generation Method
      This work is the first deep-learning-based approach to generating abdominal sCT through dense-cycle-GAN. This method can successfully generate the small bony structures such as the rib bones and is able to predict the HU values for dose calculation with comparable accuracy to reference CT images.
  17. Prospective International Pilot Study Evaluating the Efficacy of a Self-Guided Contouring Teaching Module With Integrated Feedback for Transitioning From 2D to 3D Treatment Planning
      This self-guided teaching module was an effective tool for developing level II lymph node contouring skills by providing active feedback and resulted in improved user confidence and accuracy compared with a gold standard. This module can be expanded to other disease sites and countries to further fa …
  18. Ultrasound Prostate Segmentation Based on Multidirectional Deeply Supervised V-Net
      We developed a novel deeply supervised deep learning-based approach with reliable contour refinement to automatically segment the TRUS prostate, demonstrated its clinical feasibility, and validated its accuracy compared to manual segmentation. The proposed technique could be a useful tool for diagno …
  19. Learning-based Automatic Segmentation of Arteriovenous Malformations on Contrast CT Images in Brain Stereotactic Radiosurgery
      We developed a novel, deeply supervised, deep learning-based approach to automatically segment the AVM volume on CT images. We demonstrated its clinical feasibility by validating the shape and positional accuracy, and dose coverage of the automatic volume. These results demonstrate the potential of …
  20. Prognostic Value of Radiographically Defined Extranodal Extension in Human Papillomavirus-Associated Locally Advanced Oropharyngeal Carcinoma
      In patients with HPV + OPX, rENE was not significantly associated with OS, LRFS, or DMFS.

Keywords :


anaplastic thyroid carcinoma chemoradiation chemotherapy national cancer data base radiation therapy