Literature DB >> 18998923

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

Mia A Levy1, Daniel L Rubin.   

Abstract

Objective criteria for measuring response to cancer treatment are critical to clinical research and practice. The National Cancer Institute has developed the Response Evaluation Criteria in Solid Tumors (RECIST) method to quantify treatment response. RECIST evaluates response by assessing a set of measurable target lesions in baseline and follow-up radiographic studies. However, applying RECIST consistently is challenging due to inter-observer variability among oncologists and radiologists in choice and measurement of target lesions. We analyzed the radiologist-oncologist workflow to determine whether the information collected is sufficient for reliably applying RECIST. We evaluated radiology reports and image markup (radiologists), and clinical flow sheets (oncologists). We found current reporting of radiology results insufficient for consistent application of RECIST, compared with flow sheets. We identified use cases and functional requirements for an informatics tool that could improve consistency and accuracy in applying methods such as RECIST.

Entities:  

Mesh:

Year:  2008        PMID: 18998923      PMCID: PMC2655986     

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


  4 in total

1.  Tumour size measurement in an oncology clinical trial: comparison between off-site and on-site measurements.

Authors:  A L Belton; S Saini; K Liebermann; G W Boland; E F Halpern
Journal:  Clin Radiol       Date:  2003-04       Impact factor: 2.350

2.  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

Review 3.  The International Harmonization Project for response criteria in lymphoma clinical trials.

Authors:  Bruce D Cheson
Journal:  Hematol Oncol Clin North Am       Date:  2007-10       Impact factor: 3.722

4.  LesionViewer: a tool for tracking cancer lesions over time.

Authors:  Mia A Levy; Ankit Garg; Aaron Tam; Yael Garten; Daniel L Rubin
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11
  4 in total
  16 in total

1.  The role of informatics in health care reform.

Authors:  Yueyi I Liu; Daniel L Rubin
Journal:  Acad Radiol       Date:  2012-07-06       Impact factor: 3.173

2.  Semantic reasoning with image annotations for tumor assessment.

Authors:  Mia A Levy; Martin J O'Connor; Daniel L Rubin
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

Review 3.  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

4.  Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon.

Authors:  Chris Meenan; Bradley Erickson; Nancy Knight; Jewel Fossett; Elizabeth Olsen; Prerna Mohod; Joseph Chen; Steve G Langer
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

5.  Informatics in radiology: improving clinical work flow through an AIM database: a sample web-based lesion tracking application.

Authors:  Aaron C Abajian; Mia Levy; Daniel L Rubin
Journal:  Radiographics       Date:  2012-06-27       Impact factor: 5.333

6.  ENABLE (Exportable Notation and Bookmark List Engine): an Interface to Manage Tumor Measurement Data from PACS to Cancer Databases.

Authors:  Nikhil Goyal; Andrea B Apolo; Eliana D Berman; Mohammad Hadi Bagheri; Jason E Levine; John W Glod; Rosandra N Kaplan; Laura B Machado; Les R Folio
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

7.  LesionTracker: Extensible Open-Source Zero-Footprint Web Viewer for Cancer Imaging Research and Clinical Trials.

Authors:  Trinity Urban; Erik Ziegler; Rob Lewis; Chris Hafey; Cheryl Sadow; Annick D Van den Abbeele; Gordon J Harris
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

8.  Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.

Authors:  Huy M Do; Lillian G Spear; Moozhan Nikpanah; S Mojdeh Mirmomen; Laura B Machado; Alexandra P Toscano; Baris Turkbey; Mohammad Hadi Bagheri; James L Gulley; Les R Folio
Journal:  Acad Radiol       Date:  2020-01       Impact factor: 3.173

9.  Automated tracking of quantitative assessments of tumor burden in clinical trials.

Authors:  Daniel L Rubin; Debra Willrett; Martin J O'Connor; Cleber Hage; Camille Kurtz; Dilvan A Moreira
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.