Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots

G Elisabeta Marai; Chihua Ma; Andrew Thomas Burks; Filippo Pellolio; Guadalupe Canahuate; David M Vock; Abdallah S R Mohamed; Clifton David Fuller

doi:10.1109/TVCG.2018.2817557

Back

Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots

Journal article

Open access

Peer reviewed

Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots

G Elisabeta Marai, Chihua Ma, Andrew Thomas Burks, Filippo Pellolio, Guadalupe Canahuate, David M Vock, Abdallah S R Mohamed and Clifton David Fuller

IEEE transactions on visualization and computer graphics, Vol.25(4), pp.1732-1745

04/2019

DOI: 10.1109/TVCG.2018.2817557

PMCID: PMC6148410

PMID: 29994094

Files and links (1)

url

https://doi.org/10.1109/TVCG.2018.2817557View

Published (Version of record) Open Access

Abstract

We present the design and evaluation of an integrated problem solving environment for cancer therapy analysis. The environment intertwines a statistical martingale model and a K Nearest Neighbor approach with visual encodings, including novel interactive nomograms, in order to compute and explain a patient's probability of survival as a function of similar patient results. A coordinated views paradigm enables exploration of the multivariate, heterogeneous and few-valued data from a large head and neck cancer repository. A visual scaffolding approach further enables users to build from familiar representations to unfamiliar ones. Evaluation with domain experts show how this visualization approach and set of streamlined workflows enable the systematic and precise analysis of a patient prognosis in the context of cohorts of similar patients. We describe the design lessons learned from this successful, multi-site remote collaboration.

Computer Graphics

Female

Humans

Male

Neoplasms - mortality

Neoplasms - therapy

Nomograms

Precision Medicine - methods

Survival Analysis

Details

Title: Subtitle: Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots
Creators: G Elisabeta Marai - University of Illinois at Chicago
Chihua Ma - University of Illinois at Chicago
Andrew Thomas Burks - University of Illinois at Chicago
Filippo Pellolio - University of Illinois at Chicago
Guadalupe Canahuate - University of Iowa
David M Vock - University of Minnesota
Abdallah S R Mohamed - University of Texas Health Science Center at Houston
Clifton David Fuller - University of Texas Health Science Center at Houston
Resource Type: Journal article
Publication Details: IEEE transactions on visualization and computer graphics, Vol.25(4), pp.1732-1745
DOI: 10.1109/TVCG.2018.2817557
PMID: 29994094
PMCID: PMC6148410
ISSN: 1077-2626
eISSN: 1941-0506
Grant note: R01 CA225190 / NCI NIH HHS R01 CA214825 / NCI NIH HHS
Language: English
Date published: 04/2019
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197207702771

Metrics

11 Record Views

24 Times Cited - Web of Science