Evidence map›Paper›PMID 34372887›Full record

ArticleRadiation oncology (London, England)2021

End of treatment cone-beam computed tomography (CBCT) is predictive of radiation response and overall survival in oropharyngeal squamous cell carcinoma.

Whitney Sumner, Sangwoo S Kim, Lucas Vitzthum, Kevin Moore, Todd Atwood, James Murphy, Sayuri Miyauchi, Joseph A Califano, Loren K Mell, Arno J Mundt and 1 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Artificial intelligence to predict outcomes of head and neck radiotherapy.Clinical and translational radiation oncology · 2023
    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

11 authors at 1 institution in 1 country.

Whitney SumnerDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA.
Sangwoo S KimSchool of Medicine, University of California, San Diego, La Jolla, CA, USA.
Lucas VitzthumDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA.
Kevin MooreDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA.
Todd AtwoodDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA.
James MurphyDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA.
Sayuri MiyauchiDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA.
Joseph A CalifanoDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA.
Loren K MellDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA.
Arno J MundtDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA.
Andrew B SharabiDepartment of Radiation Medicine and Applied Sciences, San Diego Moores Cancer Center, University of California, 3855 Health Sciences Drive, MC 0843, La Jolla, CA, 92093, USA. Sharabi@ucsd.edu.ORCID http://orcid.org/0000-0003-2075-1197
University of California San Diego · US

Funding

Role of B-cell mediated anti-tumor antibodies in responses to radiation and immunotherapy in HNSCCR01DE028563 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHARABI, ANDREW B. · 2019 to 2023
$1.8M
NIDCR NIH HHS R01 DE028563
6 · The paper itself

Abstract

backgroundImage guidance in radiation oncology has resulted in significant improvements in the accuracy and precision of radiation therapy (RT). Recently, the resolution and quality of cone beam computed tomography (CBCT) for image guidance has increased so that tumor masses and lymph nodes are readily detectable and measurable. During treatment of head and neck squamous cell carcinoma (HNSCC), on-board CBCT setup imaging is routinely obtained; however, this CBCT imaging data is not utilized to predict patient outcomes. Here, we analyzed whether changes in CBCT measurements obtained during a course of radiation therapy correlate with responses on routine 3-month follow-up diagnostic imaging and overall survival (OS). MATERIALS/

methodsPatients with oropharyngeal primary tumors who received radiation therapy between 2015 and 2018 were included. Anatomical measurements were collected of largest nodal conglomerate (LNC) at CT simulation, end of radiation treatment (EOT CBCT), and routine 3-month post-RT imaging. At each timepoint anteroposterior (AP), mediolateral (ML) and craniocaudal (CC) measurements were obtained and used to create a 2-dimensional (2D) maximum.

resultsCBCT data from 64 node positive patients were analyzed. The largest nodal 2D maximum and CC measurements on EOT CBCT showed a statistically significant correlation with complete response on 3-month post-RT imaging (r = 0.313, p = 0.02 and r = 0.318, p = 0.02, respectively). Furthermore, patients who experienced a 30% or greater reduction in the CC dimension had improved OS (Binary Chi-Square HR 4.85, p = 0.028).

conclusionDecreased size of pathologic lymph nodes measured using CBCT setup imaging during a radiation course correlates with long term therapeutic response and overall survival of HNSCC patients. These results indicate that CBCT setup imaging may have utility as an early predictor of treatment response in oropharyngeal HNSCC.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Squamous CellCone-Beam Computed TomographyFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedMaleMiddle AgedOrgans at RiskOropharyngeal NeoplasmsPrognosisRadiotherapy DosageRadiotherapy, Image-GuidedCBCTCone beam CTHead and neck cancerHead and neck squamous cell carcinomaRadiationRadiotherapy

Identifiers

PMID34372887
PMCPMC8351145
OpenAlexW3188303913

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.