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A Proposed Decision-Support System for (Renal) Cancer Imaging

Stuart Golodetz, Irina Voiculescu, Stephen Cameron
2007 2007 Frontiers in the Convergence of Bioscience and Information Technologies  
Our aim is to explore the requirements of a decision-support system which will aid them in this task.  ...  This system will be initially targeted at renal (kidney) cancer, but is intended to be extensible to other cancers in the future.  ...  Proposed decision support system In §1 we enumerated the main issues to be considered when developing a decision-support system for medical use.  ... 
doi:10.1109/fbit.2007.123 dblp:conf/fbit/GolodetzVC07 fatcat:3b7qwf56kjaxdgrcrr476gpjl4

MRI Phenotype in Renal Cancer

Naomi Campbell, Andrew B. Rosenkrantz, Ivan Pedrosa
2014 Topics in Magnetic Resonance Imaging (TMRI)  
For instance, the noninvasive diagnosis of a renal mass as RCC is not Reprints: Ivan Pedrosa, MD,  ...  Renal cell carcinoma (RCC) is most commonly diagnosed as an incidental finding on crosssectional imaging and represents a significant clinical challenge.  ...  However, even once a decision has been made to resect a renal lesion, further decisions are required regarding the optimal surgical intervention, including suitability of the lesion for nephron-sparing  ... 
doi:10.1097/rmr.0000000000000019 pmid:24690616 pmcid:PMC4484274 fatcat:xyp4qgpqr5fdhmhnkzcmwyvbiq

The Role of CT-Based Radiomics in Precise Imaging of Renal Cancer

Marta Ligero, Kinga Bernatowicz, Raquel Perez-Lopez
2021 Journal of Nephrological Science  
The application of advanced computational analysis to medical imaging opens a plethora of opportunities in the field of radiology, allowing for more accurate tissue characterization and, eventually, advancing  ...  Based on systematic review of published studies, we also summarize here the main advances regarding CT-based radiomics applications in renal cancer with regards to tumor characterization (diagnosis, grading  ...  , likely providing new tools to support medical decisions and, ultimately, improving renal cancer patient care.  ... 
doi:10.29245/2767-5149/2021/2.1111 fatcat:5kxfjrnnxzhp5k222j3gwklo3i

CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma

Menglin Chen, Fu Yin, Yuanmeng Yu, Haijie Zhang, Ge Wen
2021 Cancer Imaging  
Background The aim of the study is to compare the diagnostic value of models that based on a set of CT texture and non-texture features for differentiating clear cell renal cell carcinomas(ccRCCs) from  ...  Methods A total of 197 pathologically proven renal tumors were divided into ccRCC(n = 143) and non-ccRCC (n = 54) groups.  ...  and decision support in the clinic regardless of the experience of clinicians [9] [10] [11] .  ... 
doi:10.1186/s40644-021-00412-8 pmid:34162442 fatcat:klqookexgzb5howsoggi4yz67q

Evaluation of treatment response and resistance in metastatic renal cell cancer (mRCC) using integrated 18F–Fluorodeoxyglucose (18F–FDG) positron emission tomography/magnetic resonance imaging (PET/MRI); The REMAP study

Christian Kelly-Morland, Sarah Rudman, Paul Nathan, Susan Mallett, Giovanni Montana, Gary Cook, Vicky Goh
2017 BMC Cancer  
Acknowledgements The authors wish to thank Cancer Research UK for the study funding. The granting body will not be involved in data collection or analysis.  ...  It has also been shown that diffusion weighted imaging and multiphasic contrast enhanced MRI signal intensity may alter in response to treatment in renal cell cancer [33] .  ...  These agents stimulate the immune system to destroy cancer cells and the possibility of a synergistic effect between immunotherapy and targeted therapy is under investigation [4] .  ... 
doi:10.1186/s12885-017-3371-9 pmid:28578690 pmcid:PMC5455133 fatcat:gxdm2iqudrab5ein5vfynirh4u

Proceedings of the International Cancer Imaging Society (ICIS) 18th Annual Teaching Course

2018 Cancer Imaging  
Decision support systems are already in routine use in hospitals for selecting most appropriate imaging methods and imaging protocols according to the latest international guidelines.  ...  Support of imaging decisions for best possible utilization of local radiologic capabilities is feasible using the novel communication technology (DiPiro PJ 2017).  ...  It is appropriate for elderly patients for whom surgical resection would carry a high-risk and for patients who will not accept a permanent stoma.  ... 
doi:10.1186/s40644-018-0160-x fatcat:l3fdy44aunejnfamsnka5hfiwu

Proceedings of the International Cancer Imaging Society Meeting and 20th Annual Teaching Course

2021 Cancer Imaging  
Integration of genomic data into care of cancer patients is becoming routine practice and knowledge of cancer genomics is important for all radiologists.  ...  ) genome with specific focus on the relevance for radiologists.  ...  Sciences, Little Rock, Arkansas, USA Cancer Imaging 2021, 21(Suppl 1):A29 The COVID-19 pandemic has highlighted the need to rapidly acquire and globally share data to support research, clinical decision  ... 
doi:10.1186/s40644-021-00422-6 pmid:34535182 pmcid:PMC8446473 fatcat:u2xyfxglezhnnjlkls3ns6udq4

An Exploratory Analysis of Changes in Circulating Plasma Protein Profiles Following Image-Guided Ablation of Renal Tumours Provides Evidence for Effects on Multiple Biological Processes

Tze Min Wah, Jim Zhong, Michelle Wilson, Naveen S. Vasudev, Rosamonde E. Banks
2021 Cancers  
Our pilot exploratory study evaluated the circulating plasma protein profiles after image-guided ablation (IGA) of small renal masses to determine the resultant systemic effects and provide insight into  ...  Patients undergoing cryotherapy (CRYO), radiofrequency ablation (RFA) or microwave ablation (MWA) for small renal tumours were recruited.  ...  the recruitment and sample collection for the patients.  ... 
doi:10.3390/cancers13236037 pmid:34885149 fatcat:af2mixuonzegveoqwecxra35f4

Imaging biomarker roadmap for cancer studies

James P. B. O'Connor, Eric O. Aboagye, Judith E. Adams, Hugo J. W. L. Aerts, Sally F. Barrington, Ambros J. Beer, Ronald Boellaard, Sarah E. Bohndiek, Michael Brady, Gina Brown, David L. Buckley, Thomas L. Chenevert (+65 others)
2016 Nature Reviews Clinical Oncology  
Proposals for funding to support IB-related studies should state clearly how these will advance IB validation or qualification.  ...  This framework for regulatory qualification is not a formal requirement for a drug developer who merely wishes to 'qualify' an IB to support a proof-of-mechanism or a dose-selection decision.  ... 
doi:10.1038/nrclinonc.2016.162 pmid:27725679 pmcid:PMC5378302 fatcat:gkosijxa7nb7je3guqdveyqhcm

Detection of Lung Cancer from MRI Scan Images Using Image Processing Techniques

Pushpalatha S. Nikkam
2021 International Journal for Research in Applied Science and Engineering Technology  
Lung cancer is one of the causes of death. Early detection of lung cancer can save the life of a patient.  ...  procedures such as image preprocessing, segmentation feature extraction have been implemented for different algorithms such as Support Vector Machine, K- Nearest Neighbour, Convolution Neural Network,  ...  A lung nodule detection method for thoracic MR images is proposed based on deep learning.  ... 
doi:10.22214/ijraset.2021.36638 fatcat:zc3blykpozblbnrdcf25af3q7a

Efficient Diagnosis of Cancer from Histopathological Images By Eliminating Batch Effects

Anu Mathews, I. Simi, Jubilant J. Kizhakkethottam
2016 Procedia Technology - Elsevier  
Computer aided decision support systems has been developed by researchers for efficiently diagnosing cancer from histopathological images.  ...  Using the four batches of renal tumor images, one image-level and four feature-level batch effect removal methods are compared.  ...  Conclusion The presence of batch effects in histopathological images is an important challenge for computer-aided decision support systems.  ... 
doi:10.1016/j.protcy.2016.05.165 fatcat:ps5synz6kzfb3pnh6m3v2qownu

Contribution of Imaging to Cancer Care Costs

Y. Yang, J. Czernin
2011 Journal of Nuclear Medicine  
Moreover, we propose that the appropriate use of 18 F-FDG PET or PET/CT could reduce the costs of cancer care.  ...  Here we show that the contribution of imaging to cancer care costs pales in comparison to those of other key cost components, such as cancer drugs.  ...  The number of imaging studies for which claims were submitted and the total imaging costs as a fraction of the overall cancer care costs were determined for these 6 types of cancer during the initial 2  ... 
doi:10.2967/jnumed.110.085621 pmid:22144560 fatcat:acarkon56ng75ofv7vd2ksvpdq

Molecular Imaging of Prostate Cancer

Andreas G. Wibmer, Irene A. Burger, Evis Sala, Hedvig Hricak, Wolfgang A. Weber, Hebert Alberto Vargas
2016 Radiographics  
An understanding of this biologic heterogeneity is considered a necessary requisite in the quest for the adoption of precise and personalized management strategies.  ...  Molecular imaging offers the potential for noninvasive assessment of the biologic interactions underpinning prostate carcinogenesis.  ...  This information might be used to better understand the nature of prostate cancer and to support treatment decisions.  ... 
doi:10.1148/rg.2016150059 pmid:26587888 pmcid:PMC5410962 fatcat:hugyo2jrzrflpkfehy6aixuolm

The Proceedings of the 19th International Cancer Imaging Society Meeting and Annual Teaching Course

2019 Cancer Imaging  
Imaging can help investigate renal tumour histopathology and aggressiveness and can impact treatment decision and lower treatment cost. Imaging can assist with: (A).  ...  Furthermore, these small renal cancers represents 70% of all newly diagnosed Renal Cell Cancers (RCC).  ...  Conclusion: A non-contrast fast MRI protocol can be proposed as a screening tool in high risk patients for PC, reducing the time lapse between the controls, giving more chances for an early diagnosis with  ... 
doi:10.1186/s40644-019-0244-2 fatcat:24addaecrngdvc2c6v37ai5qeq

Removing Batch Effects From Histopathological Images for Enhanced Cancer Diagnosis

Sonal Kothari, John H. Phan, Todd H. Stokes, Adeboye O. Osunkoya, Andrew N. Young, May D. Wang
2014 IEEE journal of biomedical and health informatics  
Table I lists image acquisition details for four batches. Each image is a  ...  A. Data We use digital micrographs of renal tumor biopsy samples acquired in four experimental setups.  ...  challenge for the cross-laboratory adoption and the standardization of pathology decision support systems. Batch effects are also a major challenge for other biomedical data modalities.  ... 
doi:10.1109/jbhi.2013.2276766 pmid:24808220 pmcid:PMC5003052 fatcat:n72trlx42zb7zcoxeykmocq3rm
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