Evidence map›Paper›PMID 26816510›Full record

ArticleJournal of contemporary brachytherapy2015

Brachytherapy next generation: robotic systems.

Tiberiu Popescu, Alex Cristian Kacsó, Doina Pisla, Gabriel Kacsó

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of contemporary brachytherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Steering a Tendon-Driven Needle in High-Dose-Rate Prostate Brachytherapy for Patients with Pubic Arch Interference.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2021
    Article
  3. Review
  4. Review
  5. Article
  6. System and path planning algorithm for low-kV X-ray free-form surface irradiation.The international journal of medical robotics + computer assisted surgery : MRCAS · 2018
    Article
  7. 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

4 authors at 2 institutions in 1 country.

Tiberiu Popescu"Iuliu Haţieganu" University of Medicine and Pharmacy, Cluj-Napoca.
Alex Cristian Kacsó"Iuliu Haţieganu" University of Medicine and Pharmacy, Cluj-Napoca.
Doina PislaTechnical University of Cluj-Napoca, The Research Center for Industrial Robots Simulation and Testing, Cluj.
Gabriel Kacsó"Iuliu Haţieganu" University of Medicine and Pharmacy, Cluj-Napoca; Department of Radiation Oncology and Medical Oncology, RTC Amethyst Cluj, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · ROTechnical University of Cluj-Napoca · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a field dominated by external beam radiation therapy (EBRT), both the therapeutic and technical possibilities of brachytherapy (BT) are underrated, shadowed by protons and intensity modulated radiotherapy. Decreasing expertise and indications, as well as increasing lack of specific BT training for radiation therapy (RT) residents led to the real need of shortening its learning curve and making it more popular. Developing robotic BT devices can be a way to mitigate the above issues. There are many teams working at custom-made robotic BT platforms to perfect and overcome the limitations of the existing systems. This paper provides a picture of the current state-of-the-art in robotic assisted BT, as it also conveys the author's solution to the problem, a parallel robot that uses CT-guidance.

Indexed as

brachytherapyimage-guidanceparallel robotsrobotic systems

Identifiers

PMID26816510
PMCPMC4716136
OpenAlexW2322556436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.