Evidence map›Paper›PMID 31794249›Full record

ReviewThe British journal of radiology2020

Latest developments in in-vivo imaging for proton therapy.

Katia Parodi

Open access · bronzeAbstract readReview
In one paragraph

Review in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Ionizing radiation acoustic beam localization: one step towards "proton surgery".medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Adaptive proton therapy.Physics in medicine and biology · 2021
    Review
  8. Roadmap: proton therapy physics and biology.Physics in medicine and biology · 2021
    Review
  9. Article
  10. Proton therapy special feature: introductory editorial.The British journal of radiology · 2020
    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

1 author at 1 institution in 1 country.

Katia ParodiDepartment of Experimental Physics - Medical Physics, Ludwig-Maximilians-Universität München, Faculty of Physics, Munich, Germany.ORCID http://orcid.org/0000-0001-7779-6690
Ludwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the favorable physical and biological properties of swift ions in matter, their application to radiation therapy for highly selective cancer treatment is rapidly spreading worldwide. To date, over 90 ion therapy facilities are operational, predominantly with proton beams, and about the same amount is under construction or planning.Over the last decades, considerable developments have been achieved in accelerator technology, beam delivery and medical physics to enhance conformation of the dose delivery to complex shaped tumor volumes, with excellent sparing of surrounding normal tissue and critical organs. Nevertheless, full clinical exploitation of the ion beam advantages is still challenged, especially by uncertainties in the knowledge of the beam range in the actual patient anatomy during the fractionated course of treatment, thus calling for continued multidisciplinary research in this rapidly emerging field.This contribution will review latest developments aiming to image the patient with the same beam quality as for therapy prior to treatment, and to visualize

Indexed as

Absorption, RadiationCancer Care FacilitiesHumansNeoplasmsOrgans at RiskPositron-Emission TomographyProton TherapyRadiation InjuriesRadiotherapy, Image-GuidedUncertainty

Identifiers

PMID31794249
PMCPMC7066959
OpenAlexW2991670061

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.