Evidence map›Paper›PMID 33458283›Full record

ArticlePhysics and imaging in radiation oncology2019

Functional perfusion image guided radiation treatment planning for locally advanced lung cancer.

Katherina P Farr, Katrina West, Roland Yeghiaian-Alvandi, David Farlow, Rachel Stensmyr, Andrew Chicco, Eric Hau

Open access · goldAbstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Combining Serial and Parallel Functionality in Functional Lung Avoidance Radiation Therapy.International journal of radiation oncology, biology, physics · 2022
    Article
  7. Article
  8. Review
  9. Imaging science and development in modern high-precision radiotherapy.Physics and imaging in radiation oncology · 2019
    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

7 authors at 2 institutions in 2 countries.

Katherina P FarrDepartment of Radiation Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney West Radiation Oncology Network, Hawksbury Road, Westmead, Sydney, NSW 2145, Australia.
Katrina WestDepartment of Radiation Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney West Radiation Oncology Network, Hawksbury Road, Westmead, Sydney, NSW 2145, Australia.
Roland Yeghiaian-AlvandiDepartment of Radiation Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney West Radiation Oncology Network, Hawksbury Road, Westmead, Sydney, NSW 2145, Australia.
David FarlowDepartment of Nuclear Medicine, PET and Ultrasound, Westmead Hospital, Hawksbury Road, Westmead, Sydney, NSW 2145, Australia.
Rachel StensmyrDepartment of Radiation Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney West Radiation Oncology Network, Hawksbury Road, Westmead, Sydney, NSW 2145, Australia.
Andrew ChiccoDepartment of Nuclear Medicine, PET and Ultrasound, Westmead Hospital, Hawksbury Road, Westmead, Sydney, NSW 2145, Australia.
Eric HauDepartment of Radiation Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney West Radiation Oncology Network, Hawksbury Road, Westmead, Sydney, NSW 2145, Australia.
Westmead Hospital · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeFunctional avoidance radiation therapy (RT) aims at sparing functional lung regions. The purpose of this simulation study was to evaluate the feasibility of functional lung avoidance methodology in RT of lung cancer and to characterize the achievable dosimetry of single photon emission computed tomography (SPECT) guided treatment planning. MATERIALS AND

methodsFifteen consecutive lung cancer patients were included and planned for definitive RT of 60-66 Gy in 2-Gy fractions. Two plans were optimized: a standard CT-plan, and functional SPECT-plan. The objective was to reduce dose to the highly functional lung subvolumes without compromising tumour coverage, and respecting dose to other organs at risk. For each patient a 3D-conformal, intensity modulated radiation therapy (IMRT) and volumetric modulated arc therapy plans were created for standard and functional avoidance. Standard versus functional dose-volume parameters for functional lung (FL) subvolumes, organs at risk and tumour coverage were compared.

resultsThe largest dose reduction was achieved with IMRT plans. Functional plans resulted in dose reduction from 9.0 Gy to 6.7 Gy (mean reduction of 2.3 Gy or 26%) to the highest functional subvolume FL80% (95%CI 1.1; 3.5). Dose to FL40% was reduced from 13.3 Gy to 11.6 Gy with functional planning. Dose reduction to FL40% was 1.7 Gy (95%CI 0.9; 2.6). Functional volume of lung receiving over 20 Gy improved by 5% (standard 22%, functional 17%). Dose to organs at risk and tumour coverage were not significantly different between plans.

conclusionsSPECT/CT-guided planning resulted in improved dose-volumetric outcomes for functional lung. This methodology may lead to potential reduction in radiation-induced lung toxicity.

Indexed as

Functional avoidanceFunctional lungNon-small-cell lung cancerPerfusion SPECT/CTRadiation therapy

Identifiers

PMID33458283
PMCPMC7807615
OpenAlexW2974330693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.