Abstract No. 558 Does lung shunt fraction estimation using injection of 99mTc-MAA still vital in 90Y radioembolization dosimetry? A hypothetical study using patient specific information

2021 ◽  
Vol 32 (5) ◽  
pp. S154
Author(s):  
F. Syed ◽  
S. Gallagher ◽  
R. Gurajala ◽  
K. Karuppasamy
Keyword(s):  
Patient Specific ◽  
Specific Information ◽  
Shunt Fraction ◽  
Lung Shunt ◽  
90Y Radioembolization

90Y Radioembolization Lung Shunt Fraction in Primary and Metastatic Liver Cancer as a Biomarker for Survival

2016 ◽  
Vol 41 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Minzhi Xing ◽  
Steven Lahti ◽  
Nima Kokabi ◽  
David M. Schuster ◽  
Juan C. Camacho ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Shunt Fraction ◽  
Metastatic Liver Cancer ◽  
Lung Shunt ◽  
90Y Radioembolization ◽  
Metastatic Liver

Tailoring Communications for Primary Care Settings

1998 ◽  
Vol 37 (02) ◽  
pp. 171-178 ◽  
Author(s):  
B. Glassman ◽  
B. K. Rimer
Keyword(s):  
Primary Care ◽  
Health Professionals ◽  
Contact Time ◽  
Behavioral Changes ◽  
Patient Specific ◽  
Specific Information ◽  
Medical Settings ◽  
Primary Care Settings ◽  
Professional Contact ◽  
Tailored Communications

AbstractIn more and more medical settings, physicians have less and less time to be effective communicators. To be effective, they need accurate, current information about their patients. Tailored health communications can facilitate positive patient-provider communications and foster behavioral changes conducive to health. Tailored communications (TCs) are produced for an individual based on information about that person. The focus of this report is on tailored print communications (TPCs). TPCs also enhance the process of evaluation, because they require a database and the collection of patient-specific information. We present a Tailoring Model for Primary Care that describes the steps involved in creating TPCs. We also provide examples from three ongoing studies in which TPCs are being used in order to illustrate the kinds of variables used for tailoring the products that are developed and how evaluation is conducted. TPCs offer opportunities to expand the reach of health professionals and to give personalized, individualized massages in an era of shrinking professional contact time.

scholarly journals Assessment of patient specific information in the wild on fundus photography and optical coherence tomography

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Marion R. Munk ◽  
Thomas Kurmann ◽  
Pablo Márquez-Neila ◽  
Martin S. Zinkernagel ◽  
Sebastian Wolf ◽  
...  
Keyword(s):  
Deep Learning ◽  
Cross Sections ◽  
Underlying Disease ◽  
Geographic Atrophy ◽  
Clinical Population ◽  
Fundus Photography ◽  
Peak Performance ◽  
Patient Specific ◽  
Specific Information ◽  
Fundus Images

AbstractIn this paper we analyse the performance of machine learning methods in predicting patient information such as age or sex solely from retinal imaging modalities in a heterogeneous clinical population. Our dataset consists of N = 135,667 fundus images and N = 85,536 volumetric OCT scans. Deep learning models were trained to predict the patient’s age and sex from fundus images, OCT cross sections and OCT volumes. For sex prediction, a ROC AUC of 0.80 was achieved for fundus images, 0.84 for OCT cross sections and 0.90 for OCT volumes. Age prediction mean absolute errors of 6.328 years for fundus, 5.625 years for OCT cross sections and 4.541 for OCT volumes were observed. We assess the performance of OCT scans containing different biomarkers and note a peak performance of AUC = 0.88 for OCT cross sections and 0.95 for volumes when there is no pathology on scans. Performance drops in case of drusen, fibrovascular pigment epitheliuum detachment and geographic atrophy present. We conclude that deep learning based methods are capable of classifying the patient’s sex and age from color fundus photography and OCT for a broad spectrum of patients irrespective of underlying disease or image quality. Non-random sex prediction using fundus images seems only possible if the eye fovea and optic disc are visible.

scholarly journals Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yishai Avior ◽  
Shiri Ron ◽  
Dana Kroitorou ◽  
Claudia Albeldas ◽  
Vitaly Lerner ◽  
...  
Keyword(s):  
Cortical Neurons ◽  
Antidepressant Treatment ◽  
Patient Specific ◽  
Specific Gene ◽  
Specific Information ◽  
Patient Response ◽  
Patient Will ◽  
Gene Expression Alterations ◽  
Treatment Alternatives

AbstractMajor depressive disorder is highly prevalent worldwide and has been affecting an increasing number of people each year. Current first line antidepressants show merely 37% remission, and physicians are forced to use a trial-and-error approach when choosing a single antidepressant out of dozens of available medications. We sought to identify a method of testing that would provide patient-specific information on whether a patient will respond to a medication using in vitro modeling. Patient-derived lymphoblastoid cell lines from the Sequenced Treatment Alternatives to Relieve Depression study were used to rapidly generate cortical neurons and screen them for bupropion effects, for which the donor patients showed remission or non-remission. We provide evidence for biomarkers specific for bupropion response, including synaptic connectivity and morphology changes as well as specific gene expression alterations. These biomarkers support the concept of personalized antidepressant treatment based on in vitro platforms and could be utilized as predictors to patient response in the clinic.

Influence of Time Delay on the Estimated Lung Shunt Fraction on 99mTc-Labeled MAA Scintigraphy for 90Y Microsphere Treatment Planning

2013 ◽  
pp. 1 ◽  
Author(s):  
Ruth De Gersem ◽  
Geert Maleux ◽  
Hubert Vanbilloen ◽  
Kristof Baete ◽  
Chris Verslype ◽  
...  
Keyword(s):  
Time Delay ◽  
Treatment Planning ◽  
Shunt Fraction ◽  
Lung Shunt

scholarly journals Variant Selection and Interpretation: An Example of Modified VarSome Classifier of ACMG Guidelines in the Diagnostic Setting

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1885
Author(s):  
Francesca Cristofoli ◽  
Elisa Sorrentino ◽  
Giulia Guerri ◽  
Roberta Miotto ◽  
Roberta Romanelli ◽  
...  
Keyword(s):  
Medical Genetics ◽  
Patient Specific ◽  
Specific Information ◽  
Variant Selection ◽  
Variant Classification ◽  
Variant Interpretation ◽  
Bioinformatics Pipeline ◽  
Different Levels ◽  
Diagnostic Setting

Variant interpretation is challenging as it involves combining different levels of evidence in order to evaluate the role of a specific variant in the context of a patient’s disease. Many in-depth refinements followed the original 2015 American College of Medical Genetics (ACMG) guidelines to overcome subjective interpretation of criteria and classification inconsistencies. Here, we developed an ACMG-based classifier that retrieves information for variant interpretation from the VarSome Stable-API environment and allows molecular geneticists involved in clinical reporting to introduce the necessary changes to criterion strength and to add or exclude criteria assigned automatically, ultimately leading to the final variant classification. We also developed a modified ACMG checklist to assist molecular geneticists in adjusting criterion strength and in adding literature-retrieved or patient-specific information, when available. The proposed classifier is an example of integration of automation and human expertise in variant curation, while maintaining the laboratory analytical workflow and the established bioinformatics pipeline.

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