Evidence map›Paper›PMID 39364455›Full record

ArticleCureus2024

Complex Multi-site Stereotactic Body Re-irradiation With CT-Guided Online Adaptive Radiotherapy.

Domenic Sievert, Alden D'Souza, Xiaodong Zhao, Michael T Prusator, Tom Mazur, Hyun Kim, Dean Hobbis

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Training for tomorrow: Establishing a worldwide curriculum in online adaptive radiation therapy.Technical innovations & patient support in radiation oncology · 2025
    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.

Domenic SievertDepartment of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, USA.
Alden D'SouzaDepartment of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, USA.
Xiaodong ZhaoDepartment of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, USA.
Michael T PrusatorDepartment of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, USA.
Tom MazurDepartment of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, USA.
Hyun KimDepartment of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, USA.
Dean HobbisDepartment of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online adaptive radiotherapy optimizes a patient's treatment plan to their daily anatomy to account for inter-fraction motion. Daily target and organ-at-risk (OAR) delineation allows for optimized treatments and has been shown to have favorable outcomes in the abdominal region. Adaptive radiotherapy also has the potential to support fine control of dose in re-irradiation to OARs. Herein, we describe a complex multi-site re-irradiation case utilizing CT-guided adaptive radiotherapy. A 46-year-old man with metastatic hepatocellular carcinoma presented for re-irradiation of four metastatic lesions to the right acetabulum, T11, S2, and a gastrosplenic lymph node (gsLN). The right acetabulum, T11, and S2 lesions previously received 20 Gy in five fractions. For the current course, he was prescribed 35 Gy (T11, right acetabulum, and gsLN) and 30 Gy (S2) in five fractions. An equivalent dose in 2 Gy fractions (EQD

Indexed as

cbctethoshepatocellular carcinomahypersightsbrt

Identifiers

PMID39364455
PMCPMC11449465

What OpenQuestion holds

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Registered trials

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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.