Literature DB >> 20566776

Quantitative imaging in oncology patients: Part 2, oncologists' opinions and expectations at major U.S. cancer centers.

Tracy A Jaffe1, Nicholas W Wickersham, Daniel C Sullivan.   

Abstract

OBJECTIVE: The purpose of this article is to examine oncologists' opinions and expectations concerning imaging and tumor measurements in patients with cancer.
MATERIALS AND METHODS: An electronic mail survey was sent to 2,400 medical, gynecologic, and radiation oncologists at 55 U.S. National Cancer Institute-funded cancer centers. The survey contained questions about departmental demographics, opinions regarding imaging for patients with cancer, PET/CT utilization, and utilization of the Response Evaluation Criteria in Solid Tumors (RECIST) system in therapy protocols that use imaging as a therapeutic end point.
RESULTS: A total of 492 responses (21%) were received. Sixty percent (294) of respondents were medical oncologists, 9% (45) were gynecologic oncologists, 26% (127) were radiation oncologists, and 5% (25) answered "Other." Ninety-eight percent (431/438) of respondents provide clinical care, and 99% (420/425) have participated in clinical trials. Most respondents (94% [410/438]) expect some or all tumors to be measured at the time of standard initial clinical imaging. Over half (65% [275/426]) think that tumor measurements should be bidimensional. Only 25% (101/400) of respondents' institutions have department rules on the implementation of RECIST measurements. Sixty-eight percent of participants (269/397) think that RECIST is flawed but serviceable. Over half of respondents (56% [221/398]) were not familiar with RECIST 1.1 modifications.
CONCLUSION: Most oncologists at National Cancer Institute-sponsored cancer centers expect tumor measurements to be made in the routine imaging of patients with cancer. Almost two thirds of respondents think that bidimensional measurements of index lesions are satisfactory in routine oncologic imaging. Little consensus exists in the implementation of RECIST measurements for clinical trials at these centers.

Entities:  

Mesh:

Year:  2010        PMID: 20566776     DOI: 10.2214/AJR.09.3541

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  14 in total

1.  Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology Reports.

Authors:  M Sevenster; J Buurman; P Liu; J F Peters; P J Chang
Journal:  Appl Clin Inform       Date:  2015-09-30       Impact factor: 2.342

2.  Quantitative Radiology Reporting in Oncology: Survey of Oncologists and Radiologists.

Authors:  Les R Folio; Chelsye J Nelson; Menashe Benjamin; Ayelet Ran; Guy Engelhard; David A Bluemke
Journal:  AJR Am J Roentgenol       Date:  2015-09       Impact factor: 3.959

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.  Comparison of manual and semi-automatic measuring techniques in MSCT scans of patients with lymphoma: a multicentre study.

Authors:  A J Höink; J Weßling; R Koch; C Schülke; N Kohlhase; L Wassenaar; R M Mesters; M D'Anastasi; M Fabel; A Wulff; D Pinto dos Santos; A Kießling; A Graser; V Dicken; M Karpitschka; L Bornemann; W Heindel; B Buerke
Journal:  Eur Radiol       Date:  2014-09-06       Impact factor: 5.315

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

Review 6.  Multimedia-enhanced Radiology Reports: Concept, Components, and Challenges.

Authors:  Les R Folio; Laura B Machado; Andrew J Dwyer
Journal:  Radiographics       Date:  2018 Mar-Apr       Impact factor: 5.333

7.  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

8.  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

Review 9.  Clinical utility of quantitative imaging.

Authors:  Andrew B Rosenkrantz; Mishal Mendiratta-Lala; Brian J Bartholmai; Dhakshinamoorthy Ganeshan; Richard G Abramson; Kirsteen R Burton; John-Paul J Yu; Ernest M Scalzetti; Thomas E Yankeelov; Rathan M Subramaniam; Leon Lenchik
Journal:  Acad Radiol       Date:  2014-10-22       Impact factor: 3.173

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.