Quantitative Imaging: Biostatistics and Medical Physics (SR-C). This Specialized Resource provides support for a wide range of imaging (MRI, nuclear and optical imaging) procedures and statistical functions for the clinical trials in ICMIC-3 as well as all the pre-clinical animal research for all Research Projects and Developmental Projects. The tasks and services to be performed by SR-C fall into six broad categories; 1) to make additional computational and centralized Image storage facilities available to lCMIC-3 investigators thereby facilitating data sharing between projects; 2) to make specialized image processing and display software available, allowing the sharing of the software licenses and centralizing support; 3) to provide software development capabilities for the performance of specialized processing and analyses including the automation of bulk processing tasks, format conversions and the development of new algorithms; 4) to consult on issues regarding imaging protocols, optimal acquisition settings, quantitation and on the modeling of tracer kinetics; 5) to provide biostatistical expertise in the design and analysis of research studies and to conduct statistical analyses and modeling of data generated by those studies; and 6) to conduct research leading to the development of new capabilities of common benefit to the iCMlC-3 projects.
This resource provides essential support for all 4 of the research projects and in addition the developmental projects. It provides the expertise necessary for consolidating the multi-modality pre-clinical small animal imaging studies proposed as well as quantitative imaging requirements of the clinical imaging studies projected in RP1 and RP4 with novel radiopharmaceuticals.
|Graham, Nicholas A; Minasyan, Aspram; Lomova, Anastasia et al. (2017) Recurrent patterns of DNA copy number alterations in tumors reflect metabolic selection pressures. Mol Syst Biol 13:914|
|Serganova, Inna; Moroz, Ekaterina; Cohen, Ivan et al. (2017) Enhancement of PSMA-Directed CAR Adoptive Immunotherapy by PD-1/PD-L1 Blockade. Mol Ther Oncolytics 4:41-54|
|Pankov, Dmitry; Sjöström, Ludvig; Kalidindi, Teja et al. (2017) In vivo immuno-targeting of an extracellular epitope of membrane bound preferentially expressed antigen in melanoma (PRAME). Oncotarget 8:65917-65931|
|Kim, Kwanghee; Zhang, Hanwen; La Rosa, Stephen et al. (2017) Bombesin Antagonist-Based Radiotherapy of Prostate Cancer Combined with WST-11 Vascular Targeted Photodynamic Therapy. Clin Cancer Res 23:3343-3351|
|Lu, Shaohua; Tan, Kay See; Kadota, Kyuichi et al. (2017) Spread through Air Spaces (STAS) Is an Independent Predictor of Recurrence and Lung Cancer-Specific Death in Squamous Cell Carcinoma. J Thorac Oncol 12:223-234|
|Lee, Jason T; Zhang, Hanwen; Moroz, Maxim A et al. (2017) Comparative Analysis of Human Nucleoside Kinase-Based Reporter Systems for PET Imaging. Mol Imaging Biol 19:100-108|
|Kadota, Kyuichi; Sima, Camelia S; Arcila, Maria E et al. (2016) KRAS Mutation Is a Significant Prognostic Factor in Early-stage Lung Adenocarcinoma. Am J Surg Pathol 40:1579-1590|
|Adusumilli, Prasad S (2016) Spread through alveolar spaces: An aerogenous invasion in pulmonary adenocarcinomas. J Thorac Cardiovasc Surg 152:73-4|
|Taldone, Tony; Zatorska, Danuta; Ochiana, Stefan O et al. (2016) Radiosynthesis of the iodine-124 labeled Hsp90 inhibitor PU-H71. J Labelled Comp Radiopharm 59:129-32|
|Yeh, Yi-Chen; Kadota, Kyuichi; Nitadori, Jun-ichi et al. (2016) International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification predicts occult lymph node metastasis in clinically mediastinal node-negative lung adenocarcinoma. Eur J Cardiothorac Surg 49:e9-e15|
Showing the most recent 10 out of 187 publications