Evidence map›Paper›PMID 35257030›Full record

ArticlePhysics and imaging in radiation oncology2022

Dosimetric impact of target definition in brachytherapy for cervical cancer - Computed tomography and trans rectal ultrasound versus magnetic resonance imaging.

Jamema Swamidas, Jeevanshu Jain, Nicole Nesvacil, Kari Tanderup, Christian Kirisits, Max Schmid, Priyanka Agarwal, Kishore Joshi, Pushpa Naga, Chira Ranjan Khadanga and 4 more

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
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  6. Review
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

14 authors.

Jamema SwamidasDepartment of Radiation Oncology, ACTREC, Tata Memorial Centre, Mumbai, India.
Jeevanshu JainDepartment of Radiation Oncology, ACTREC, Tata Memorial Centre, Mumbai, India.
Nicole NesvacilDepartment of Radiation Oncology, Medical University of Vienna, Vienna, Austria.
Kari TanderupDepartment of Clinical Medicine - The Department of Oncology, Aarhus University, Aarhus, Denmark.
Christian KirisitsDepartment of Radiation Oncology, Medical University of Vienna, Vienna, Austria.
Max SchmidDepartment of Radiation Oncology, Medical University of Vienna, Vienna, Austria.
Priyanka AgarwalHomi Bhabha National Institute, Mumbai, India.
Kishore JoshiDepartment of Radiation Oncology, ACTREC, Tata Memorial Centre, Mumbai, India.
Pushpa NagaHomi Bhabha National Institute, Mumbai, India.
Chira Ranjan KhadangaHomi Bhabha National Institute, Mumbai, India.
Shivakumar GudiHomi Bhabha National Institute, Mumbai, India.
Lavanya GurramHomi Bhabha National Institute, Mumbai, India.
Supriya ChopraHomi Bhabha National Institute, Mumbai, India.
Umesh MahantshettyHomi Bhabha National Institute, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: Magnetic Resonance Imaging (MRI) based target definition in cervix brachytherapy is limited by its availability, logistics and financial implications, therefore, use of computed tomography (CT) and Trans Rectal UltraSonography (TRUS) has been explored. The current study evaluated the dosimetric impact of CT + TRUS based target volumes as compared to gold standard MRI. Methods and Materials: Images of patients (n = 21) who underwent TRUS followed by MRI and CT, were delineated with High-Risk Clinical Target Volume in CT (CTV Results: No statistically significant systematic difference was found between MRI and CT. Mean difference (±1.96 SD) of D Conclusion: CT + TRUS based delineation of CTV

Indexed as

BrachytherapyCervical cancerComputed TomographyHigh risk Clinical target volume

Identifiers

PMID35257030
PMCPMC8897631

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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.