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Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble [article]

Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
2020 arXiv   pre-print
In this paper, we investigate the problem of automated detecting PDACs in multi-phase (arterial and venous) CT scans.  ...  Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers among the population. Screening for PDACs in dynamic contrast-enhanced CT is beneficial for early diagnosis.  ...  Conclusion In this paper, we study three types of alignment approaches for detecting pancreatic adenocarcinoma (PDACs) in multi-phase CT scans.  ... 
arXiv:2003.08441v3 fatcat:elupnckdf5d23egsq4jkwt6p5q

The integration of artificial intelligence models to augment imaging modalities in pancreatic cancer

Xianze Wang, Wen Yuan Chung, Elon Correa, Yi Zhu, Eyad Issa, Ashley R. Dennison
2020 Journal of Pancreatology  
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with a limited number of effective treatments.  ...  In this article, we review the developments of AI in the field of PDAC and the present clinical position.  ...  Rohan Kumar from the Department of Hepatobiliary and Pancreatic Surgery, Leicester General Hospital, Leicester, for their enthusiastic support during literature retrieval and manuscript organization.  ... 
doi:10.1097/jp9.0000000000000056 fatcat:tbrhf4adszau7jecay4dnjc7my

Glucagonoma Masquerading as a Mucinous Cancer of the Ovary: Lessons from Cell Biology [chapter]

Gwo Yaw Ho, Sumitra Ananda, Cassandra J. Vandenberg, Orla McNally, Jeanne Tie, Kylie Gorringe, David Bowtell, Jan Pyman, Matthew J. Wakefield, Clare L. Scott
2020 Gynaecological Malignancies - Updates and Advances [Working Title]  
Interestingly, glucagon was over-expressed in this tumor that was subsequently confirmed by immunohistochemistry.  ...  We described a cohort of four consecutive suspected HGMOC cases treated at the Royal Women's Hospital, Melbourne in 2012.  ...  We would like to thank the women who participated in these research programs.  ... 
doi:10.5772/intechopen.92554 fatcat:q77yseqfona7rjirttb5ewnaru

2020 Index IEEE Transactions on Biomedical Engineering Vol. 67

2020 IEEE Transactions on Biomedical Engineering  
., Hearables: Automatic Overnight Sleep Monitoring With Standardized In-Ear EEG Sensor; TBME Jan. 2020 203-212 Nakanishi, M., Wang, Y., Wei, C., Chiang, K., and Jung, T., Facilitating Calibration in High-Speed  ...  BCI Spellers via Leveraging Cross-Device Shared Latent Responses; TBME April 2020 1105-1113 Narayanan, A.M., and Bertrand, A., Analysis of Miniaturization Effects and Channel Selection Strategies for  ...  ., +, TBME March 2020 915-923 High-Resolution Ex Vivo Elastography to Characterize Tumor Stromal Het- erogeneity In Situ in Pancreatic Adenocarcinoma.  ... 
doi:10.1109/tbme.2020.3048339 fatcat:y7zxxew27fgerapsnrhh54tm7y

The long noncoding RNA landscape of neuroendocrine prostate cancer and its clinical implications

Varune Rohan Ramnarine, Mohammed Alshalalfa, Fan Mo, Noushin Nabavi, Nicholas Erho, Mandeep Takhar, Robert Shukin, Sonal Brahmbhatt, Alexander Gawronski, Maxim Kobelev, Mannan Nouri, Dong Lin (+13 others)
2018 GigaScience  
Interrogation of the top deregulated candidates (n = 100) in radical prostatectomy adenocarcinoma samples with long-term follow-up (median 18 years) revealed significant clinicopathological associations  ...  Results: We implemented a next-generation sequence analysis pipeline that can detect transcripts at low expression levels and built a genome-wide catalogue (n = 37,749) of lncRNAs.  ...  a phase transition or state change from adenocarcinoma to NEPC [24] .  ... 
doi:10.1093/gigascience/giy050 pmid:29757368 pmcid:PMC6007253 fatcat:hg2kgway5ja2ta4ahqxyvfaj4i

pRB [chapter]

2016 Encyclopedia of Cancer  
P p21 3351 P 3352 p21 3354 p21 separation-of-function mutants of p21 in order to reduce its multifunctional character, which should enable us to gain greater insight into selected functions of this protein  ...  Acknowledgments We would like to thank the members of our research group for their critical inputs in shaping this article.  ...  Making the Diagnosis The most effective way to determine whether or not there is a mass in the pancreas is via a special X-ray known as a spiral CT scan.  ... 
doi:10.1007/978-3-662-46875-3_102471 fatcat:hpbwkhzjm5dzxf6cczo7hknhh4

TU-B-I-617-01: High Field MRI - Technology, Applications, Safety, and Limitations

RJ Stafford
2005 Medical Physics (Lancaster)  
The RC-CT scan was used to measure tumor motion and to reconstruct a CT at 10 respiratory phases (10p-CT).  ...  Method and Materials: Patients were scanned on a GE Multi-Slice CT Scanner. Registration of the images was based on internal correlation at tissue interfaces between successive respiratory phases.  ...  The method was compared with the currently used positioning methods including bony anatomy alignment and minimizing CT-number difference (MCD) via rigid transformation.  ... 
doi:10.1118/1.1999700 fatcat:yub56igoe5cl3cthdpzwrdvjp4

TU-EE-A3-05: Scatter Radiation in Digital Tomosynthesis

B Liu, S Glick, X Gong
2005 Medical Physics (Lancaster)  
The RC-CT scan was used to measure tumor motion and to reconstruct a CT at 10 respiratory phases (10p-CT).  ...  Method and Materials: Patients were scanned on a GE Multi-Slice CT Scanner. Registration of the images was based on internal correlation at tissue interfaces between successive respiratory phases.  ...  The method was compared with the currently used positioning methods including bony anatomy alignment and minimizing CT-number difference (MCD) via rigid transformation.  ... 
doi:10.1118/1.1998434 fatcat:jnqebvqstnhixdmecqmh35gfbi

SU-EE-A3-06: An Efficient Algorithm for Image-Based Dose Deformation and Accumulation

M Kaus, V Pekar, T McNutt, K Bzdusek
2005 Medical Physics (Lancaster)  
The RC-CT scan was used to measure tumor motion and to reconstruct a CT at 10 respiratory phases (10p-CT).  ...  Method and Materials: Patients were scanned on a GE Multi-Slice CT Scanner. Registration of the images was based on internal correlation at tissue interfaces between successive respiratory phases.  ...  The method was compared with the currently used positioning methods including bony anatomy alignment and minimizing CT-number difference (MCD) via rigid transformation.  ... 
doi:10.1118/1.1997464 fatcat:zue2hfmc5ze6ziwu332w3u2lue

SU-FF-I-79: Java-Based Plugin for Tomographic Reconstruction for SPECT Data

M Andrade, M Costa, A Marques da Silva
2006 Medical Physics (Lancaster)  
True alignment of planning and on-board image data was achieved according to a 3D point-based registration of the 6 reference BBs in the CT and CBCT images.  ...  Single-axis rotations up to +/-10 o and 3-axis translations up to +/-10 mm were simulated in the planning CT, prior to the generation of reference DTS images.  ...  In order to account for tumor motion, a multi-phase CT scanning and MRI cine imaging were used to assist planning target volume (PTV) definition in treatment planning.  ... 
doi:10.1118/1.2240759 fatcat:5we2nvgwx5hrxcv2ngufce6obq

Microbulles et cellules acoustiques

Michiel Postema
2017 Zenodo  
Figure 6 shows the pancreatic adenocarcinoma in patient 5 prior to ultrasound and microbubble treatment as seen by CT and PET imaging modalities. II.D.  ...  Figure 4(b) shows the dimensions of a pancreatic tumor indicating the ease of detecting and aligning the probe to the tumor using the modified settings.  ...  It has been hypothesised that acoustically driven antibubbles can be used for active leakage detection from subsea production facilities.  ... 
doi:10.5281/zenodo.4770898 fatcat:fyi3wieylzfx5haxhrj7es5gmm

Proceedings of the World Molecular Imaging Congress 2020, October 7-9, 2020: General Abstracts

2022 Molecular Imaging and Biology  
Administered systemically, nearinfrared fluorescent dye-labeled antibody targeting EGFR may be able to detect HGGs expressing modest amount of EGFR and serve as an image-guided surgical probe.  ...  levels in human HGG tissues.  ...  Trends of these metrics are plotted in Fig. 1i .  ... 
doi:10.1007/s11307-021-01691-0 pmid:34982363 pmcid:PMC8725637 fatcat:ipn7hwekzzh6nbsk6dr2mzuhhm

Machine Learning Methods for Histopathological Image Analysis: A Review [article]

Jonathan de Matos and Steve Tsham Mpinda Ataky and Alceu de Souza Britto Jr. and Luiz Eduardo Soares de Oliveira and Alessandro Lameiras Koerich
2021 arXiv   pre-print
In addition, we present a list of publicly available and private datasets that have been used in HI research.  ...  We also cover the most common tasks in HI analysis, such as segmentation and feature extraction.  ...  Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.  ... 
arXiv:2102.03889v1 fatcat:ylrsildl4nenho22erndvpjcjy

2019 Medical Products of Kansai Medical University

2020 The Journal of Kansai Medical University  
cancer (PREP) (2019) A singlearm, phase II trial of neoadjuvant gemcitabine and S1 in patients with resectable and borderline resectable pancreatic adenocarcinoma: PREP-01 study.  ...  Sugie T, Toi M, Mikami Y and Togashi K (2019) Distribution pattern of FDG uptake using ring-type dedicated breast PET in comparison to whole-body PET/CT scanning in invasive breast cancer.  ... 
doi:10.5361/jkmu.71.70 fatcat:z4nsdeyfcfgsldu7ltaaakgdrq

Proceedings to the 2020 Online Conference of the Particle Therapy Cooperative Group (PTCOG2020Online)

2021 International Journal of Particle Therapy  
O 43 Examining the differential cellular response of a panel of pancreatic cancer cell lines to 12C vs. photon irradiation Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy that is  ...  One CT is loaded sequentially for each motion phase and the contributions of the entire particle spectrum of each motion phase are added up in a CT-sized array.  ...  The transformation of dose distributions on retaken CT and RBE of normal tissues behind the target were smaller in NCO plan (Fig.2) .  ... 
doi:10.14338/ijpt.20-ptcog-7.4 pmid:33829075 pmcid:PMC8019577 fatcat:v2kbh3jnazck3jbyjk6fu6ckfi
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