Literature DB >> 18693875

LesionViewer: a tool for tracking cancer lesions over time.

Mia A Levy1, Ankit Garg, Aaron Tam, Yael Garten, Daniel L Rubin.   

Abstract

Oncologists managing cancer patients use radiology imaging studies to evaluate changes in measurable cancer lesions. Currently, the textual radiology report summarizes the findings, but is disconnected from the primary image data. This makes it difficult for the physician to obtain a visual overview of the location and behavior of the disease. LesionViewer is a prototype software system designed to assist clinicians in comprehending and reviewing radiology imaging studies. The interface provides an Anatomical Summary View of the location of lesions identified in a series of studies, and direct navigation to the relevant primary image data. LesionViewer's Disease Summary View provides a temporal abstraction of the disease behavior between studies utilizing methods of the RECIST guideline. In a usability study, nine physicians used the system to accurately perform clinical tasks appropriate to the analysis of radiology reports and image data. All users reported they would use the system if available.

Entities:  

Mesh:

Year:  2007        PMID: 18693875      PMCID: PMC2655885     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  5 in total

1.  A computer-aided design mammography screening system for detection and classification of microcalcifications.

Authors:  S Lee; C Lo; C Wang; P Chung; C Chang; C Yang; P Hsu
Journal:  Int J Med Inform       Date:  2000-10       Impact factor: 4.046

2.  Integration of computer assisted bone age assessment with clinical PACS.

Authors:  Ewa Pietka; Sylwia Pospiech-Kurkowska; Arkadiusz Gertych; Fei Cao
Journal:  Comput Med Imaging Graph       Date:  2003       Impact factor: 4.790

3.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

4.  LifeLines: using visualization to enhance navigation and analysis of patient records.

Authors:  C Plaisant; R Mushlin; A Snyder; J Li; D Heller; B Shneiderman
Journal:  Proc AMIA Symp       Date:  1998

5.  Graphical summary of patient status.

Authors:  S M Powsner; E R Tufte
Journal:  Lancet       Date:  1994-08-06       Impact factor: 79.321

  5 in total
  5 in total

Review 1.  Current and future trends in imaging informatics for oncology.

Authors:  Mia A Levy; Daniel L Rubin
Journal:  Cancer J       Date:  2011 Jul-Aug       Impact factor: 3.360

2.  Tools for improving the characterization and visualization of changes in neuro-oncology patients.

Authors:  William Hsu; Ricky K Taira
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

3.  In situ vaccination with a TLR9 agonist induces systemic lymphoma regression: a phase I/II study.

Authors:  Joshua D Brody; Weiyun Z Ai; Debra K Czerwinski; James A Torchia; Mia Levy; Ranjana H Advani; Youn H Kim; Richard T Hoppe; Susan J Knox; Lewis K Shin; Irene Wapnir; Robert J Tibshirani; Ronald Levy
Journal:  J Clin Oncol       Date:  2010-08-09       Impact factor: 44.544

4.  Tool support to enable evaluation of the clinical response to treatment.

Authors:  Mia A Levy; Daniel L Rubin
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

5.  Current and future trends in magnetic resonance imaging assessments of the response of breast tumors to neoadjuvant chemotherapy.

Authors:  Lori R Arlinghaus; Xia Li; Mia Levy; David Smith; E Brian Welch; John C Gore; Thomas E Yankeelov
Journal:  J Oncol       Date:  2010-09-29       Impact factor: 4.375

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.