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Dr Balaji Ganeshan presents TexRAD at the prestigious Beijing Society of Radiology Conference – Feedback Plc (FDBK).
Dr Balaji Ganeshan presents TexRAD at the prestigious Beijing Society of Radiology Conference.
On Saturday September 9th 2017, Dr Balaji Ganeshan, CEO of TexRAD Ltd and Director of New Business at Feedback Plc gave a keynote lecture entitled “TexRAD Texture Analysis of CT and MR images – ready for prime time?” at the prestigious Beijing Radiation Academic Annual Conference.
Dr. Ganeshan spoke on CT and MRI texture analysis in cancer imaging which is a very topical area of interest in medical imaging and TexRAD is at the forefront of this development. Evidence that currently supports the potential use of TexRAD in different clinical applications and its utility as part of the qualification process for its use in routine clinical practice was further discussed.
Pictures below show Dr Ganeshan receiving a Certificate of Appreciation from Professor H.D.Xue – Assistant Director of Radiology at Peking Union Medical College Hospital and a Committee member of the Beijing Society of Radiology.
Pictures below show Dr Ganeshan with Xiaowei Ni, CEO of Boya Digital Technology (Beijing) Co. Ltd, and members of the GE-China team including Zhuang Wei, Director of HCIT-GE-China. Dr Ganeshan is also shown with members of the GE-China team outside Beijing University Third Hospital.
Cancer Care Commission (CCC) is a UK company based in Oxford working with NHS trusts to help improve their clinical pathways for cancer care. CCC are partnering with China Resources Phoenix Health Group (CRPHG), who are a very large company owning over a hundred health facilities. CRPHG own Beijing-Yanhua-Hospital, and are partnering with Beijing 5th cancer hospital and CCC to try and create a centre of excellence for cancer care in North China. Pictures below show Dr Ganeshan presenting TexRAD with Boya CEO Xiaowei Ni, Dr Fred Sun, Sudhakar Jayaram, Dr Hongxia Yu and Dr Dadong Li, UK Trade & Investment Manager, Life Science. Dr Li’s team organised the meeting at Yanhua hospital.
TexRAD presentation at European Congress of Radiology (ECR) – Feedback (FDBK)
Today’s presentation by Dr. Alessandro Scavuzzo from Brescia University Hospital at the European Congress of Radiology further demonstrates the utility of TexRAD on MRI in a new application in cardiovascular disorders (e.g. dilated cardiomyopathy) specifically highlighting the ability of TexRAD MR texture analysis as a non-invasive imaging biomarker showing association with the clinical score and patient outcome
Provided by University of Brescia.
Presentation Details
Presentation Title: Role of late gadolinium enhancement, myocardium native T1 value and texture analysis in patients affected by dilated cardiomyopathy: clinical score and outcome correlation.
Purpose: To correlate late gadolinium enhancement (LGE) myocardium T1 value, texture analysis and the outcome in patients affected by dilated cardiomyopathy (DMC).
Methods and Materials: Retrospective evaluation on 104 DMC affected patients who underwent cardiac MR (CMR) between January 2012 and May 2015. Exam protocol included morphologic sequences, cine MR, native T1 mapping and after gadolinium PSIR sequences. LGE was analysed drawing ROIs on short-axis PSIR, T1 delineating the cardiac septum on native short-axis ShMOLLI and texture analysis delineating the septum on short-axis cine MR using TexRAD software. Outcome was set as major cardiac events (MACE) 6 months within the exam
Results: 53/104 patients presented LGE and they showed a higher percentage of MACE compared to patients without LGE (37% vs. 7% respectively, p=0.001). The extension of LGE did not correlate with MACE, the ejection fraction or the end diastolic volumes (t test, p=ns). T1 was measured on 34 patients, 21 with LGE (mean 1033msec) and 13 without LGE.
(mean 1008msec)(p=ns). Significant difference was shown between T1 of patients with MACE (11/34, mean 1045msec) and without MACE (23/24, mean 1011msec)(p=0.02). Texture analysis showed correlation between patients with and without MACE, with kurtosis at 1mm filter being the most significant value (t test, p=0.0019).
Conclusion: Both the presence of LGE and native T1 value of myocardium correlate with MACE. Correlation between T1 and LGE has not been proved. Texture analysis has demonstrated a potential on defining diffuse myocardium fibrosis (particularly with thin filters) and is easily applicable, but is still not supported by enough literature data.
4 – Forthcoming TexRAD presentations at European Congress of Radiology (ECR) – Feedback (FDBK)
Presentation at forthcoming European Congress of Radiology (March 1-5 2017)
Provided by University of Brescia.
Presentation Details
Presentation Title: Correlation between locally advanced HPV positive oropharyngeal squamous cell carcinoma and quantitative MRI parameters
Author Block: M. Leali, E. Tononcelli, E. Lleshaj, A. Grammatica, M. Ravanelli, D. Farina, R. Maroldi; Brescia/IT
(The presenting author is underlined.)
Disclosure Block: M. Leali: None. E. Tononcelli: None. E. Lleshaj: None. A. Grammatica: None. M. Ravanelli: None. D. Farina: None. R. Maroldi: None.
Session Number: SS 308
Topic: Head and Neck
Session Title: Head and neck cancer: value of multiparametric and advanced imaging techniques
Session Date/Time: Wednesday Mar 1 2017, 14:00 – 15:30
Room: 09/L 8
Below is a view of your accepted abstract:
Purpose: to evaluate the association between quantitative MR parameters and HPV status in advanced oropharyngeal squamous cell carcinoma (OPSCC).
Methods and Materials: 24 patients with locally advanced OPSCC underwent pre-treatment MR. Histogram analysis was performed on TSE-T2, DWI and post-gadolinuim 3D-VIBE sequences before and after application of a Laplacian of Gaussian spatial scale filter (ssf) at the primary tumor site. Search of HPV DNA on biopsies was performed to evaluate HPV status. Mann-Whitney test was used to assess differences in quantitative MR parameters between HPV+ and HPV- groups.
Results: 10 patients were HPV-positive (41,7%). Mean ADC was significantly lower in HPV+ compared to HPV- patients (0.83 vs 1.04 x 10-3mm2/s respectively, p=0.015). Skewness measured on 3D-VIBE with 1mm-ssf was significantly higher in HPV+ compared to HPV- patients (p=0.03).
Conclusion: quantitative MR parameters, especially mean ADC, may reflect microstructural differences between HPV+ and HPV- OPSCC.
Link to ECR presentation page here
3 – Forthcoming TexRAD presentations at European Congress of Radiology (ECR) – Feedback (FDBK)
Presentation at forthcoming European Congress of Radiology (March 1-5 2017)
Provided by University of Brescia.
Presentation Details
Presentation Title: CT texture analysis as a predictor of response to therapy and prognosis in patients with metastatic renal cell carcinoma treated with first-line tyrosine kinase inhibitors
Author Block: G. Bonera, G. Agazzi, M. Ravanelli, D. Farina, V. Ferrari, A. Berruti, R. Maroldi; Brescia/IT
(The presenting author is underlined.)
Disclosure Block: G. Bonera: None. G. Agazzi: None. M. Ravanelli: None. D. Farina: None. V. Ferrari: None. A. Berruti: None. R. Maroldi: None.
Session Number: SS 216
Topic: Oncologic Imaging
Session Title: Imaging and predicting treatment response and outcome in oncology
Session Date/Time: Wednesday Mar 1 2017, 10:30 – 12:00
Room: 19/M 3
Below is a view of your accepted abstract:
Purpose: To investigate if texture analysis (TA) on pretreatment contrast-enhanced CT (CECT) images can predict response to tyrosine kinase inhibitors (TKI) and prognosis in patients with metastatic renal cell carcinoma (mRCC).
Methods and Materials: 65 pretreatment CECT studies of mRCC patients treated with first-line TKI were retrospectively reviewed. Objective response was assessed every 3 months according to RECIST 1.1 and modified Choi (mChoi) criteria. TA was performed on a 5-mm-thick central slice for each target lesion using a commercially available software (TexRAD Ltd, UK). Primary texture features and a novel HeteroDensity Index (HDI), accounting for size-standardised heterogeneity and mean pixel density, were quantified using different spatial-scale filters (ssf). Per-patient texture features were correlated with objective response, progression-free and overall survival (PFS, OS) using logistic regression and survival analysis, statistical significance was corrected to control false discovery rate.
Results: Primary texture features were not able to discriminate responders and non-responders. HDI obtained with a 3-mm ssf (ssf3) was positively correlated with objective response (odds ratio 0.14 for RECIST and 0.2 for mChoi criteria, p 0.018 and 0.026, respectively). Low ssf3 HDI was associated with worse PFS (hazard ratio 4.14, p 0.0001) and OS (hazard ratio 3.36, p 0.0008).
Conclusion: TA on pretreatment CECT helps to predict objective response and prognosis in mRCC patients treated with first-line TKI..
Link to ECR presentation page here
2 – Forthcoming TexRAD presentations at European Congress of Radiology (ECR) – Feedback (FDBK)
Presentation at forthcoming European Congress of Radiology (March 1-5 2017)
Provided by University of Brescia.
Presentation Details
Presentation Title: CT texture analysis in metastatic lung adenocarcinoma treated with tyrosine kinase inhibitors: prediction of survival
Author Block: J. Cardinale, V. Bettoni, G. Agazzi, M. Ravanelli, E. Roca, D. Farina, A. Berruti, R. Maroldi; Brescia/IT
(The presenting author is underlined.)
Disclosure Block: J. Cardinale: None. V. Bettoni: None. G. Agazzi: None. M. Ravanelli: None. E. Roca: None. D. Farina: None. A. Berruti: None. R. Maroldi: None.
Session Number: SS 204
Topic: Chest
Session Title: Lung cancer: from diagnosis to prognosis
Session Date/Time: Wednesday Mar 1 2017, 10:30 – 12:00
Room: 06/O
Below is a view of your accepted abstract:
Purpose: To assess the predictive and prognostic value of pre-treatment CT texture features in lung adenocarcinoma treated with tyrosine kinase inhibitors (TKI).
Methods and Materials: Texture analysis was performed with a commercially available software (TexRAD Ltd, UK) on pre-treatment contrast-enhanced CT studies of 27 patients with metastatic lung adenocarcinoma treated by TKI. Texture features were quantified on a 5-mm thick central slice of the primary tumour and were correlated with progression-free and overall survival (PFS and OS) using uni- and multi-variable analysis.
Results: Mean PFS and OS were 77.4±71 and 110±87 weeks, respectively. At multivariable analysis, kurtosis of 3-mm texture was independently correlated with PFS, tumours with high kurtosis (>0.98) had a 11.4 relative risk of progression compared with tumours with low kurtosis (p<0.0001); kurtosis on unfiltered images was correlated with OS, tumours with high kurtosis (>1.74) had a 10.3 relative risk of death compared with tumours with low kurtosis (p 0.0006). Among clinical variables, only age<60 years correlated with shorter PFS (relative risk 4.1, p0.02).
Conclusion: Texture features, in particular kurtosis, are strongly associated with PFS and OS in lung adenocarcinoma treated with TKI.
Link to ECR presentation page here
1- Forthcoming TexRAD presentations at European Congress of Radiology (ECR) – Feedback (FDBK)
Presentation at forthcoming European Congress of Radiology (March 1-5 2017)
Provided by Oslo University Hospital.
Presentation Title: Texture analysis on diffusion-tensor imaging: discriminating glioblastomas from single brain metastasis
Author Block: K. Skogen1, A. Schulz1, E. Helseth1, J.B. Dormagen1, B. Ganeshan2, A. Server1; 1Oslo/NO, 2London/GB
(The presenting author is underlined.)
Disclosure Block: K. Skogen: Shareholder; Yes. Speaker; Yes. A. Schulz: None. E. Helseth: None. J.B. Dormagen: None. B. Ganeshan: Shareholder; Yes. A. Server: None.
Session Number: SS 711
Topic: Neuro
Session Title: Brain tumours: lesion characterisation and treatment evaluation
Session Date/Time: Thursday Mar 2 2017, 14:00 – 15:30
Room: 11/E2
Below is a view of your accepted abstract:
Purpose: Texture analysis has been used to stage, differentiate and predict prognosis in many oncologic tumours. It has been used on CT, MRI and PET. The purpose of this study was to determine the diagnostic accuracy of discriminating glioblastoma (GBM) from single brain metastasis (MET) by assessing the heterogeneity of both the solid tumour and the peritumoural oedema with MRI texture analysis (MRTA).
Methods and Materials: Preoperative MRI examinations done on a 3T scanner of 44 patients were included, 23 GBM and 21 MET. MRTA was performed on the DTI in a representative ROI. The MRTA was assessed using a commercially available research software program (TexRAD)
which applies a filtration histogram technique for characterising tumour and peritumoural heterogeneity. The filtration step selectively filters and extracts texture features at different anatomical scales varying from 2mm (fine) to 6mm (coarse). Heterogeneity quantification was obtained by the statistical parameter entropy. A threshold value to differentiate GBM from MET with sensitivity and specificity was calculated by receiver operating characteristics (ROC) analysis.
Results: Quantifying the heterogeneity of the solid part of the tumour showed no significant difference between GBM and MET. However the heterogeneity of the GBMs peritumoural oedema was significantly higher than the oedema surrounding MET, differentiating them with a sensitivity of 90% and specificity of 80%.
Conclusion: Assessing the peritumoural heterogeneity can increase the radiological diagnostic accuracy when discriminating GBM and MET. This will facilitate the medical staging and optimise the planning for surgical resection of the tumour and postoperative management.
Link to ECR presentation page here
TexRAD presenting 19 papers at RSNA 2016 – Feedback (FDBK)
TexRAD is attending the 102nd scientific assembly and annual meeting of the Radiological Society of North America, running from the 27th November to 2nd December 2016 at the McCormick Place in Chicago, USA.
This year at the RSNA there will be around 19 presentations (5 of which have won student awards) from our customer sites spread across USA, Canada, UK, EU and China focused predominantly on CT texture analysis (CTTA) and few on MR texture analysis (MRTA). These talks, posters and teaching sessions will cover different research applications in the area of oncology and also new applications in cardiology. A brief list of the individual presentations is provided as below.
(Note the RSNA program is here: https://rsna2016.rsna.org/program/. Searching on the Session ID in the table below will take you straight to the relevant part of the program.)
| Session ID | Details |
| SSA07-05 | Sunday 10:45-12:15 PM | SSA07 | Room: E353ASurvival Prediction in Patients Treated by Folfiri and Bevacizumab using Contrast-enhanced CT Texture Analysis: Ancillary Study of a Multicenter Prospective Study (PRODIGE 9)
Anthony Dohan, MD | Benoit P. Gallix, MD, PhD | Caroline Reinhold, MD, MSc | Philippe A. Soyer, MD, PhD | Boris Guiu, MD | Karine Le Malicot | Jaafar Bennouna, MD | Francois Ghiringhelli | Valerie Boige, MD,PhD | Julien Taieb, MD,PhD | Olivier Bouche | Eric Francois, MD | Jean-Marc Phelip, MD | Christian Borel, MD | Roger Faroux, MD | Jean-Francois Seitz, MD | Stephane Jacquot, MD | Dominique Genet, MD | Jean-Louis Jouve, MD | Francoise Desseigne, MD | Come Lepage I, MD,PhD | Thomas Aparicio, MD,PhD | Christine C. Hoeffel, MD This study originated in collaboration between our customers from McGill University in Montreal, Canada and Reims, France. |
| SSA10-03 | Sunday 10:45-12:15 PM | SSA10 | Room: E351Can Quantitative CT Texture Analysis be used to Differentiate Subtypes of Renal Cell Carcinoma on Multiphasic Multidetector CT Images?
Gu Mu Yang Zhang, MD | Hao Sun, MD | Bing Shi | Huadan Xue, MD | Zheng Yu Jin, MD | Balaji Ganeshan, PhD This paper won a Student Travel Award. This study originated from our customer Peking Union Medical College Hospital in Beijing, China |
| SSA10-04 | Sunday 10:45-12:15 PM | SSA10 | Room: E351Differentiation of Papillary Type 1 and Type 2 RCC on CT Textural Analysis
Diana Kaya, MD | Balaji Ganeshan, PhD | Behrang Amini, MD, PhD | Pheroze Tamboli, MD | Christopher G. Wood, MD | Raghunandan Vikram, MBBS, FRCR This study originated from our customer MD Anderson Cancer Center, Houston, Texas, USA |
| SSA10-06 | Sunday 10:45-12:15 PM | SSA10 | Room: E351CT Texture Analysis of Post-contrast and Non-contrast Images; Early Observations on Differences in Renal Tumor Types
Azadeh Tabari, | Cinthia Cruz, MD | Michael S. Gee, MD, PhD | Sarabjeet Singh, MD | Debra A. Gervais, MD This study originated from our customer Massachusetts General Hospital, Boston, Massachusetts, USA. |
| SSA11-05 | Sunday 10:45-12:15 PM | SSA11 | Room: E353BTexture Analysis as an MR Imaging Biomarker to Identify Histological Features or Tumor Aggressivity and to Predict Tumor Response to Neo-adjuvant Chemotherapy in Patients with Cancer of the Uterine Cervix
Maria Ciolina, MD | Valeria Vinci, MD | Marco Rengo, MD | Lucia Manganaro, MD | Andrea Laghi, MD This paper won a Student Travel Award. This study originated from our customer “Sapienza” – University of Rome, Italy. |
| GU203-SD-SUA4 | Sunday 12:30-1:00 PM | GUS-SUA | GU/UR Community, Learning Center2D MRI-based Texture Analysis for Assessment of Lymphovascular Space and Deep Myometrium Invasion of Endometrial Cancer
Yoshiko Ueno, MD, PhD | Behzad Forghani, MENG | Reza Forghani, MD, PhD | Anthony Dohan, MD | Benoit P. Gallix, MD, PhD | Caroline Reinhold, MD, MSc This study originated from our customer from McGill University in Montreal, Canada. |
| SSC01-04 | Monday 10:30-12:00 PM | SSC01 | Room: S502ABFeasibility Study of Myocardial Texture Analysis to Differentiate between Hypertrophic and Amyloid Cardiomyopathies
shu jiang | Gu Mu Yang Zhang, MD | Yining Wang, MD | Hao Sun, MD | Huadan Xue, MD | Zheng Yu Jin, MD This study originated from our customer Peking Union Medical College Hospital in Beijing, China. |
| SSC04-08 | Monday 10:30-12:00 PM | SSC04 | Room: E353ACT Image Biomarker Analysis (Size, Density and Texture) to Predict response of Pancreatic Adenocarcinoma to Neoadjuvant Folfirinox Chemotherapy and ChemoRT
Kristine S. Burk, MD | Rodrigo Canellas, MD | Cristina Ferrone, MD | Dushyant V. Sahani, MD This study originated from our customer Massachusetts General Hospital, Boston, Massachusetts, USA. |
| SSC06-09 | Monday 10:30-12:00 PM | SSC06 | Room: N228Can CT Textural Analysis Differentiate between Lipid-poor Adrenal Adenomas and other Solid Adrenal Lesions? A Preliminary Study
Shaunagh McDermott, FFR(RCSI) | Rodrigo Canellas, MD | Hei Shun Yu, MD | Colin J. McCarthy, MD | Michael S. Gee, MD, PhD | Michael A. Blake, MBBCh This study originated from our customer Massachusetts General Hospital, Boston, Massachusetts, USA. |
| IN223-SD-MOB6 | Monday 12:45-1:15 PM | INS-MOB | IN Community, Learning CenterPET/CT In Lung Cancer: An Automated Imaging Tool for Decision Support
Jakub Nalepa | Janusz Szymanek | Sarah J. McQuaid, PhD | Raymondo Endozo | Vineet Prakash, MBBCh | Balaji Ganeshan, PhD | Alex Menys | Mike Hayball | Veni Ezhil, MRCP,FRCR | Liz Bellamy | James Crawshaw, MBBS | John Hall, FRCR | Ashley M. Groves, MBBS | Andrew Nisbet, PhD This study was performed in collaboration with our customers from Ashford and St Peters Hospital, Guildford and University College London, London, UK |
| SSE01-05 | Monday 3:00-4:00 PM | SSE01 | Room: Arie Crown TheaterComputerized Texture Analysis of Locally Advanced Breast Cancers on Pre Treatment MRI May Identify Triple-Negative Tumors and Help Predicting Response to Neo-Adjuvant Chemotherapy
Foucauld Chamming’s, MD, PhD | Yoshiko Ueno, MD, PhD | Romuald Ferre, MD | Caroline Reinhold, MD, MSc | Benoit P. Gallix, MD, PhD This study originated from our customer from McGill University in Montreal, Canada. |
| SSJ15-03 | Tuesday 3:00-4:00 PM | SSJ15 | Room: E450BDetection of Myeloma Infiltration of Bone Marrow using Texture Analysis of Apparent Diffusion Coefficient Maps: A Feasibility Study
Qin Wang, MD | Huadan Xue, MD | Shuo Li, MD | Zheng Yu Jin, MD This paper won a Student Travel Award. This study originated from our customer Peking Union Medical College Hospital in Beijing, China. |
| RC513-05 | Wednesday 8:30-12:00 PM | RC513 | Room: E352Textural Analysis Differentiation of Benign and Malignant Lymph Nodes on Contrast Enhanced CT in Pediatric Patients Aoife Kilcoyne, MBBCh | Azadeh Tabari, | Shaunagh McDermott, FFR(RCSI) | Sarabjeet Singh, MD | Michael S. Gee, MD, PhDThis study originated from our customer Massachusetts General Hospital, Boston, Massachusetts, USA. |
| SSK06-09 | Wednesday 10:30-12:00 PM | SSK06 | Room: E353ATexture Analysis on MRI of Low Rectal Cancer Improves Evaluation of Tumor Response and Outcome after Combined Chemoradiation Therapy Anthony Dohan, MD | Vipul Bist | Stephanie Nougaret, MD | Marc Ychou, MD,PhD | Philippe Rouanet | Christophe Cassinotto, MD | Frederic Bibeau | Caroline Reinhold, MD, MSc | Benoit P. Gallix, MD, PhDThis paper won a Student Travel Award. This study originated from our customer from McGill University in Montreal, Canada. |
| SSK07-04 | Wednesday 10:30-12:00 PM | SSK07 | Room: E353BPrediction of Pancreatic Neuroendocrine Tumor Grade on CT Images using A Software Based Texture Analysis Rodrigo Canellas, MD | Sreejita Bhowmik, MBBS | Renata R. Almeida | Kristine S. Burk, MD | Shaunagh McDermott, FFR(RCSI) | Dushyant V. Sahani, MDThis paper won a Student Travel Award. This study originated from our customer Massachusetts General Hospital, Boston, Massachusetts, USA. |
| SSM13-05 | Wednesday 3:00-4:00 PM | SSM13 | Room: S504CDAdded Value of CT Textural Analysis Compared to PET-CT alone in Differentiating Benign from Malignant Adrenal Lesions? Shaunagh McDermott, FFR(RCSI) | Leslie K. Lee, MD | Rodrigo Canellas, MD | Hei Shun Yu, MD | Michael S. Gee, MD, PhD | Michael A. Blake, MBBChThis study originated from our customer Massachusetts General Hospital, Boston, Massachusetts, USA. |
| GU254-SD-THB3 | Thursday 12:45-1:15 PM | GUS-THB | GU/UR Community, Learning CenterDiagnostic Performance of Quantitative CT Texture Analysis for Differentiating Lipid-poor Adrenal Cortical Adenoma from Pheochromocytoma Bing Shi | Gu Mu Yang Zhang, MD | Hao Sun, MD | Huadan Xue, MD | Zheng Yu Jin, MDThis study originated from our customer Peking Union Medical College Hospital in Beijing, China. |
| IN255-SD-THA6 | Thursday 12:15-12:45 PM | INS-THA | IN Community, Learning CenterReproducibility of CT Texture Parameters by Leveraging Publically Available Patient Imaging Datasets
Shih-Hsin Chen | Balaji Ganeshan, PhD | Francesco Fraioli, MD This study was performed in collaboration with our customer from University College London, London, UK. |
| MS162-ED-X | All Day | MS162-ED-X | MS Community, Learning CenterTexture Analysis: Technique, Clinical Facts and Fictions for Tumor Response to Treatment in Abdomen and Pelvis with Focus on Colorectal Cancer
minju kim, MD | Chandana G. Lall, MD | Balaji Ganeshan, PhD This study originated from our customer University of California, Irvine, California, USA. |
Feedback PLC – Dr Balaji Ganeshan talking at UK Radiological Congress 2015
Dr. Balaji Ganeshan, Chief Scientist & New Business Officer at Feedback PLC, (and group companies TexRAD and CCI Ltd) will be giving a talk entitled “Quantifying Tumour heterogeneity with TexRAD texture analysis on CT and MRI”
Where: at the Guerbet Laboratories Ltd stand at UK Radiological Congress 2015 in Liverpool, UK (30th June 4pm and 1st July 11am).
Full details of the conference can be found on the UKRC website here.
Attendees and delegates please register at the Guerbet stand.
Feedback PLC – Collaboration with the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
Feedback plc (FDBK), the medical imaging software company, is pleased to announce that it has signed a research agreement with The University of Texas MD Anderson Cancer Center in Houston, Texas, USA, to investigate the potential future clinical application of Feedback’s TexRAD texture analysis software on computed tomography (CT) image data of patients with kidney and adrenal cancer. This will be a retrospective study and the results will not be used to influence or guide the treatment regime for existing patients.
The research collaboration will be led by Prof. Haesun Choi (Professor, Department of Diagnostic Radiology, MD Anderson Cancer Center). Prof. Choi is a world leading imaging expert and is renowned for developing the CT based “Choi criteria” for assessing response to anti-vascular therapy extensively used around the world in clinical, research and pharmaceutical drug trials.
Prof. Haesun Choi commented: “Limitations of the size-based traditional response evaluation criteria in solid tumor have been well recognized, particularly, in those treated with the new molecularly targeted agents. More reliable user-friendly biomarkers that can reflect the tumor response and that can be used in risk-stratification are needed. The tumors are known to be heterogeneous in their phenotypes and genotypes. Analyzing the tumor heterogeneity on CT images may provide insights of tumors that may be useful in evaluating the tumor response. MD Anderson Cancer Center currently is exploring of the potential value of this new mean in kidney cancers.”
Dr. Balaji Ganeshan, Chief Scientist & New Business Officer of the Company’s subsidiaries TexRAD Ltd & Cambridge Computed Imaging Ltd commented: “Prof. Haesun Choi is one of the top and highly recognized imaging experts based at the very prestigious MD Anderson Cancer Center. For the last 25 years MD Anderson Cancer Center has consistently ranked as one of the USA’s top two cancer centres receiving over 120,000 people last year for care, services and clinical trial. We are delighted that she will be leading the large comprehensive patient population study (around 400 patients with kidney and adrenal cancers) on CT to strengthen the evidence base of TexRAD as the leading tumour texture heterogeneity analysis software. The investigation in kidney and adrenal cancer patient risk-stratification and treatment response evaluation, will potentially lead to the established use of TexRAD in pharmaceutical drug trials and clinical management. Working with MD Anderson Cancer Center will significantly enhance our TexRAD research collaborator base and credibility with the addition of this key site in the USA.”
For further information contact:
Feedback plc
Tel: 01954 718072
Simon Barrell / Trevor Brown / Tom Charlton
Sanlam Securities UK (Nominated Adviser and Joint Broker)
Tel: 020 7628 2200
Simon Clements / Virginia Bull
Peterhouse Corporate Finance Ltd (Joint Broker)
Tel: 020 7469 0936
Lucy Williams / Duncan Vasey