Feedback Medical is attending the annual European Congress of Radiology held by the European Society of Radiology from the 27^th February to the 3^rd March 2019 in Vienna, Austria.

This year we look forward to at least 7 talks from our customers across the globe, showcasing ground-breaking imaging research using TexRAD. We start on the opening day of ECR with a talk from our collaborators at Leeds Teaching Hospitals NHS Trust on their findings on prognostic indicators in lung cancer patients, using the first clinical application of TexRAD –TexRAD Lung.

Other TexRAD related presentations this year mainly focus on texture parameters as biomarkers in predicting response to treatment in cancer. Italian researchers, led by Professor Andrea Laghi identified that TexRAD imaging biomarkers predicted response to pembrolizumab immunotherapy in patients with non-small cell lung cancer. The same group demonstrate that textural parameters were able to stratify response to neoadjuvant Chemo-RadioTherapy in patients with rectal cancer. The ability of texture analysis to potentially predict treatment response is an exciting prospect and may lead to improved efficacy of treatment and survival in cancer patients. Further presentations include texture analysis in tumour grading and fibrosis. Please see a brief list of the TexRAD related presentations below.

To arrange a meeting at ECR with Dr Balaji Ganeshan, one of the inventors of TexRAD please get in contact on balaji.ganeshan@fbkmed.com.

We look forward to seeing you there!

(Note: A full ECR interactive program can be found here: https://www.myesr.org/congress/scientific-programme searching the session ID below will take you straight to the relevant part of the program.)

Science Session: SS 204 Lung cancer: guidelines, screening and nodule management

Wednesday, February 27^th, 10:30am – 12:00pm, Room K, B-0150

Title: ‘Automated CT texture analysis of lung cancer FDG PET-CT data using a novel software tool: preliminary results’

Authors: G. M. McDermott, M. Hayball, B. Ganeshan, Z. Riaz, A. Scarsbrook; Leeds/GB Cambridge/GB York/GB

Science session: SS 216 Multiparametric imaging for pelvic cancers

Wednesday, February 27^th, 10:30am – 12:00pm, M building, First Level, Room M3, B-0178

Title: ‘Texture analysis of multiparametric MRI and association with tumour grading in cervical cancer’

Authors: J. A. U. Perucho, E. Y. P. Lee, R. Du, V. Vardhanabhuti, K. W. H. Chiu, E. M. F. Wong; Hong Kong/HK

Science session: SS 616a Advances in imaging of liver malignancies

Thursday, February 28^th, 10:30am – 12:00pm, Studio 2019, B-0525

Title: ‘CT-texture analysis of liver metastases in PNETs vs NPNETs: correlation with histopathological findings’

Authors: I. Martini, M. Polici, M. Zerunian, F. Landolfi, F. Panzuto, M. Rinzivillo, B. Annibale, A. Laghi, E. Iannicelli; Rome/IT Latina/IT

Scientific session: SS 1016 Lung cancer: screening and beyond

Friday, March 1^st, 10:30am – 12:00pm, M building, First Level, Room M3, B-1022

Title: ‘Non-small-cell lung cancer treated with pembrolizumab: correlation between texture analysis and iRECIST’

Authors: M. Zerunian, D. De Santis, D. Caruso, T. Biondi, G. Funicelli, E.Rosati, A. Zucchelli, C. De Dominicis, A. Laghi; Rome/IT Belvedere Marittimo/IT

Science session: SS 1401a Assessing pancreatic malignancy

Saturday, March 2^nd, 10:30am – 12:00pm, Room B, B-1104

Title: ‘Locally advanced and metastatic pancreatic cancer: the role of CT quantitative imaging biomarkers for predicting outcomes of patients treated with chemotherapy’

Authors: S.-H. Cheng, H.-D. Xue, Z.-Y. Jin; Beijing/CN

Science Session: SF 15d  Navigating tumour phenotype with advanced imaging analysis

Saturday, March 2^nd, 14:00pm – 15:30pm, Room F2, A-0901

Title: ‘Unravelling tumour heterogeneity using radiomics’

Author: L. S. Fournier; Paris/FR

Science session: SS 1905b Machine learning: visceral organs and GI tract

Sunday, March 3rd, 14:00pm – 15:30pm, Room D, B-1833

Title: ‘AI automatic identification of complete- and non- responders using texture analysis of rectal cancer 3T MR images performed before, during and after neoadjuvant CRT’

Authors: R. Ferrari, C. Mancini Terracciano, C. Voena, M. Rengo, M. Zerunian, R. Paramatti, R. Faccini, A. Laghi; Rome/IT