Evidence map›Paper›PMID 33610274›Full record

ReviewSeminars in radiation oncology2021

Physics of Particle Beam and Hypofractionated Beam Delivery in NSCLC.

Harald Paganetti, Clemens Grassberger, Gregory C Sharp

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Radiation-Induced Cardiovascular Toxicities.Current treatment options in oncology · 2022
    Review
  4. 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

3 authors at 1 institution in 1 country.

Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA. Electronic address: hpaganetti@mgh.harvard.edu.
Clemens GrassbergerDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Gregory C SharpDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Massachusetts General Hospital · US

Funding

Project 3: Enhanced Sensitivity of Tumors to Proton Beam Therapy: Mechanisms and Biomarkers.P01CA261669 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HONG, THEODORE S · 2021 to 2025
$14.0M
MDACC Clinical and Research Physics SupportU19CA021239 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HONG, THEODORE S · 2014 to 2018
$11.2M
Fast Individualized Delivery Adaptation in Proton TherapyR01CA229178 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PAGANETTI, HARALD · 2019 to 2023
$1.5M
NCI NIH HHS P01 CA261669NCI NIH HHS R01 CA229178NCI NIH HHS U19 CA021239
6 · The paper itself

Abstract

The dosimetric advantages of particle therapy lead to significantly reduced integral dose to normal tissues, making it an attractive treatment option for body sites such as the thorax. With reduced normal tissue dose comes the potential for dose escalation, toxicity reduction, or hypofractionation. While proton and heavy ion therapy have been used extensively for NSCLC, there are challenges in planning and delivery compared with X-ray-based radiation therapy. Particularly, range uncertainties compounded by breathing motion have to be considered. This article summarizes the current state of particle therapy for NSCLC with a specific focus on the impact of dosimetric uncertainties in planning and delivery.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsProton TherapyHumansPhysicsRadiotherapy Planning, Computer-Assisted

Identifiers

PMID33610274
PMCPMC7905707
OpenAlexW3129555358

What OpenQuestion holds

Textmetadata
LicenceTDM
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.