Evidence map›Paper›PMID 38778215›Full record

ArticleCommunications medicine2024

Structure-specific rigid dose accumulation dosimetric analysis of ablative stereotactic MRI-guided adaptive radiation therapy in ultracentral lung lesions.

J M Bryant, Ruben J Cruz-Chamorro, Alberic Gan, Casey Liveringhouse, Joseph Weygand, Ann Nguyen, Emily Keit, Maria L Sandoval, Austin J Sim, Bradford A Perez and 8 more

Abstract read
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. To irradiate or electroporate: how should we ablate pancreatic cancer?Translational gastroenterology and hepatology · 2025
    Article
  5. Review
  6. Review
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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

18 authors.

J M BryantDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA. john.bryant@moffitt.org.ORCID http://orcid.org/0000-0002-0207-1991
Ruben J Cruz-ChamorroDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Alberic GanUniversity of South Florida Health Morsani College of Medicine, Tampa, FL, USA.
Casey LiveringhouseDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Joseph WeygandDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Ann NguyenUniversity of South Florida Health Morsani College of Medicine, Tampa, FL, USA.ORCID http://orcid.org/0009-0009-5615-0079
Emily KeitDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Maria L SandovalDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Austin J SimDepartment of Radiation Oncology; James Cancer Hospital, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID http://orcid.org/0000-0001-5523-4347
Bradford A PerezDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Thomas J DillingDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0003-0257-6989
Gage RedlerDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Jacqueline AndreozziDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Louis NardellaDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Arash O NaghaviDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Vladimir FeygelmanDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Kujtim LatifiDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Stephen A RosenbergDepartment of Radiation Oncology; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA. Stephen.Rosenberg@moffitt.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDefinitive local therapy with stereotactic ablative radiation therapy (SABR) for ultracentral lung lesions is associated with a high risk of toxicity, including treatment related death. Stereotactic MR-guided adaptive radiation therapy (SMART) can overcome many of the challenges associated with SABR treatment of ultracentral lesions.

methodsWe retrospectively identified 14 consecutive patients who received SMART to ultracentral lung lesions from 10/2019 to 01/2021. Patients had a median distance from the proximal bronchial tree (PBT) of 0.38 cm. Tumors were most often lung primary (64.3%) and HILUS group A (85.7%). A structure-specific rigid registration approach was used for cumulative dose analysis. Kaplan-Meier log-rank analysis was used for clinical outcome data and the Wilcoxon Signed Rank test was used for dosimetric data.

resultsHere we show that SMART dosimetric improvements in favor of delivered plans over predicted non-adapted plans for PBT, with improvements in proximal bronchial tree DMax of 5.7 Gy (p = 0.002) and gross tumor 100% prescription coverage of 7.3% (p = 0.002). The mean estimated follow-up is 17.2 months and 2-year local control and local failure free survival rates are 92.9% and 85.7%, respectively. There are no grade ≥ 3 toxicities.

conclusionsSMART has dosimetric advantages and excellent clinical outcomes for ultracentral lung tumors. Daily plan adaptation reliably improves target coverage while simultaneously reducing doses to the proximal airways. These results further characterize the therapeutic window improvements for SMART. Structure-specific rigid dose accumulation dosimetric analysis provides insights that elucidate the dosimetric advantages of SMART more so than per fractional analysis alone.

Identifiers

PMID38778215
PMCPMC11111790

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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.