Evidence map›Paper›PMID 25019442›Full record

ArticleRadiographics : a review publication of the Radiological Society of North America, Inc

Imaging across the life span: innovations in imaging and therapy for gynecologic cancer.

Meng Xu-Welliver, William T C Yuh, Julia R Fielding, Katarzyna J Macura, Zhibin Huang, Ahmet S Ayan, Floor J Backes, Guang Jia, Mariam Moshiri, Jun Zhang and 1 more

Abstract read
In one paragraph

Article in Radiographics : a review publication of the Radiological Society of North America, Inc. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Meng Xu-WelliverFrom the Departments of Radiation Oncology (M.X., A.S.A.), Radiology (G.J., J.Z.), and Obstetrics and Gynecology (F.J.B.), Ohio State University, Columbus, Ohio; Department of Radiology, University of North Carolina, Chapel Hill, NC (J.R.F.); Department of Radiology, Johns Hopkins University, Baltimore, Md (K.J.M.); Department of Radiation Oncology, East Carolina University, Greenville, NC (Z.H.); and Departments of Radiology (W.T.C.Y., M.M.) and Radiation Oncology (N.A.M.), University of Washington Medical Center, 1959 NE Pacific St, Seattle, WA 98195-6043.
William T C Yuh
Julia R Fielding
Katarzyna J Macura
Zhibin Huang
Ahmet S Ayan
Floor J Backes
Guang Jia
Mariam Moshiri
Jun Zhang
Nina A Mayr

Funding

CERVICAL CANCER--PREDICTIVE ASSAY BY MR IMAGINGR01CA071906 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI MAYR, NINA A. · 1998 to 2003
$432k
NCI NIH HHS R01 CA071906NCI NIH HHS R01-CA71906
6 · The paper itself

Abstract

The focus of this article is radiation therapy for gynecologic cancers, with emphasis on imaging-based treatment planning and delivery. For the various gynecologic cancers, radiation oncologists rely on essential clinical information to triage treatment options, and various imaging studies are performed for treatment planning and radiation therapy delivery. A practical approach is provided to help radiologists tailor their reports for the needs of their radiation oncology and gynecologic oncology colleagues, to optimize multidisciplinary care for patients with gynecologic cancer. Template radiology reports are proposed to address the specific information needs of oncologists at each phase-before, during, and after treatment. Fueled by the rapid progress in engineering and computer sciences during the past 2 decades, remarkable advances have been made in anatomic, functional, and molecular imaging and in radiation treatment planning and delivery in patients with gynecologic cancer. Radiation therapy has evolved from a nontargeted approach to a precisely targeted, highly conformal treatment modality, to further improve treatment outcomes and reduce morbidity. High-quality imaging has become essential for staging of the disease, delineation of tumor extent for treatment planning and delivery, and monitoring therapy response. Anatomic and functional imaging has also been shown to provide prognostic information that allows clinicians to tailor therapy on the basis of personalized patient information. This field is an area of active research, and future clinical trials are warranted to validate preliminary results in the field.

Indexed as

Diagnostic ImagingDiagnostic Techniques, Obstetrical and GynecologicalFemaleGenital Neoplasms, FemaleHumansNeoplasm StagingPrognosis

Identifiers

PMID25019442
PMCPMC4319524

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.