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

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

Radiation Oncology

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

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.

Original language	English (US)
Article number	8320386
Pages (from-to)	1732-1745
Number of pages	14
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	25
Issue number	4
DOIs	https://doi.org/10.1109/TVCG.2018.2817557
State	Published - Apr 1 2019

Keywords

Visual analytics
activity-centered design
design studies
nomograms
parallel coordinate plots
precision medicine

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/TVCG.2018.2817557

Cite this

@article{4a9b0490e427481ca03d2a51d0b37d1b,

title = "Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots",

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.",

keywords = "Visual analytics, activity-centered design, design studies, nomograms, parallel coordinate plots, precision medicine",

author = "Marai, {G. Elisabeta} and Chihua Ma and Burks, {Andrew Thomas} and Filippo Pellolio and Guadalupe Canahuate and Vock, {David M.} and Mohamed, {Abdallah S.R.} and Fuller, {Clifton David}",

note = "Publisher Copyright: {\textcopyright} 1995-2012 IEEE.",

year = "2019",

month = apr,

day = "1",

doi = "10.1109/TVCG.2018.2817557",

language = "English (US)",

volume = "25",

pages = "1732--1745",

journal = "IEEE Transactions on Visualization and Computer Graphics",

issn = "1077-2626",

publisher = "IEEE Computer Society",

number = "4",

}

TY - JOUR

T1 - Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots

AU - Marai, G. Elisabeta

AU - Ma, Chihua

AU - Burks, Andrew Thomas

AU - Pellolio, Filippo

AU - Canahuate, Guadalupe

AU - Vock, David M.

AU - Mohamed, Abdallah S.R.

AU - Fuller, Clifton David

PY - 2019/4/1

Y1 - 2019/4/1

N2 - 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.

AB - 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.

KW - Visual analytics

KW - activity-centered design

KW - design studies

KW - nomograms

KW - parallel coordinate plots

KW - precision medicine

UR - http://www.scopus.com/inward/record.url?scp=85044309977&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044309977&partnerID=8YFLogxK

U2 - 10.1109/TVCG.2018.2817557

DO - 10.1109/TVCG.2018.2817557

M3 - Article

C2 - 29994094

AN - SCOPUS:85044309977

SN - 1077-2626

VL - 25

SP - 1732

EP - 1745

JO - IEEE Transactions on Visualization and Computer Graphics

JF - IEEE Transactions on Visualization and Computer Graphics

IS - 4

M1 - 8320386

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this