Evidence map›Paper›PMID 31195891›Full record

ArticleTechnology in cancer research & treatment2019

Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy.

Shuo Wang, Dandan Zheng, Chi Lin, Yu Lei, Vivek Verma, April Smith, Rongtao Ma, Charles A Enke, Sumin Zhou

Abstract read
In one paragraph

Article in Technology in cancer research & treatment, 2019. 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
–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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022
    Article
  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

9 authors.

Shuo Wang1 Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.ORCID 0000-0002-3814-606X
Dandan Zheng1 Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Chi Lin1 Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Yu Lei1 Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Vivek Verma2 Allegheny General Hospital, Pittsburgh, PA, USA.
April Smith1 Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Rongtao Ma3 Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
Charles A Enke1 Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Sumin Zhou1 Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundStereotactic body radiotherapy has been suggested to provide high rates of local control for locally advanced pancreatic cancer. However, the close proximity of highly radiosensitive normal tissues usually causes the labor-intensive planning process and may impede further escalation of the prescription dose. PURPOSE: The present study aims to evaluate the consistency and efficiency of Pinnacle Auto-Planning for pancreas stereotactic body radiotherapy with original prescription and escalated prescription.

methodsTwenty-four patients with pancreatic cancer treated with stereotactic body radiotherapy were studied retrospectively. The prescription is 40 Gy over 5 consecutive fractions. Most of patients (n = 21) also had 3 other different dose-level targets (6 Gy/fraction, 5 Gy/fraction, and 4 Gy/fraction). Two types of plans were generated by Pinnacle Auto-Planning with the original prescription (8 Gy/fraction, 6 Gy/fraction, 5 Gy/fraction, and 4 Gy/fraction) and escalated prescription (9 Gy/fraction, 7 Gy/fraction, 6 Gy/fraction, and 5 Gy/fraction), respectively. The same Auto-Planning template, including beam geometry, intensity-modulated radiotherapy objectives and intensity-modulated radiotherapy optimization parameters, were utilized for all the auto-plans in each prescription group. The intensity-modulated radiotherapy objectives do not include any manually created structures. Dosimetric parameters including percentage volume of PTV receiving 100% of the prescription dose, percentage volume of PTV receiving 93% of the prescription dose, and consistency of the dose-volume histograms of the target volumes were assessed. D

resultsFor all the pancreas stereotactic body radiotherapy plans with the original or escalated prescriptions, auto-plans met institutional dose constraints for critical organs, such as the duodenum, small intestine, and stomach. Furthermore, auto-plans resulted in acceptable planning target volume coverage for all targets with different prescription levels. All the plans were generated in a one-attempt manner, and very little human intervention is necessary to achieve such plan quality.

conclusionsPinnacle

Indexed as

Dose Fractionation, RadiationRadiosurgeryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedAutomationHumansOrgans at RiskPancreatic NeoplasmsPrecision MedicineRadiometryautomated treatment planningdose escalationpancreatic cancerpersonalized treatmentstereotactic body radiotherapy

Identifiers

PMID31195891
PMCPMC6572905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.