Evidence map›Paper›PMID 37345557›Full record

ArticleJournal of applied clinical medical physics2023

Rapid unpaired CBCT-based synthetic CT for CBCT-guided adaptive radiotherapy.

Jacob F Wynne, Yang Lei, Shaoyan Pan, Tonghe Wang, Mosa Pasha, Kirk Luca, Justin Roper, Pretesh Patel, Sagar A Patel, Karen Godette and 2 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. 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.

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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

12 authors.

Jacob F WynneDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Yang LeiDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Shaoyan PanDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Tonghe WangDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Mosa PashaDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Kirk LucaDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Justin RoperDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Pretesh PatelDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Sagar A PatelDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Karen GodetteDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Ashesh B JaniDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Xiaofeng YangDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
eXtended Modular ANthropomorphic (XMAN) phantom for Imaging and Treatment Optimization in Radiotherapy.R01EB032680 · NIBIB · UNIVERSITY OF MARYLAND BALTIMORE · PI REN, LEI, YANG, XIAOFENG · 2022 to 2025
$2.4M
Real-time Volumetric Imaging for Motion Management and Dose Delivery VerificationR01CA272991 · NCI · EMORY UNIVERSITY · PI Zhen Tian, Xiaofeng Yang · 2023 to 2026
$2.3M
Multiparametric MRI-guided Prostate HDR Brachytherapy with Focal Tumor BoostR01CA215718 · NCI · EMORY UNIVERSITY · PI YANG, XIAOFENG · 2018 to 2022
$1.8M
Artificial Intelligence Driven Platform for PET/MR ImagingR56EB033332 · NIBIB · EMORY UNIVERSITY · PI MAO, HUI, YANG, XIAOFENG · 2022 to 2022
$764k
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA215718NCI NIH HHS R01 CA272991NIBIB NIH HHS R01 EB032680NIBIB NIH HHS R56 EB033332NIH HHS P30 CA008748NIH HHS R01CA215718NIH HHS R01EB032680NIH HHS R56EB033332
6 · The paper itself

Abstract

In this work, we demonstrate a method for rapid synthesis of high-quality CT images from unpaired, low-quality CBCT images, permitting CBCT-based adaptive radiotherapy. We adapt contrastive unpaired translation (CUT) to be used with medical images and evaluate the results on an institutional pelvic CT dataset. We compare the method against cycleGAN using mean absolute error, structural similarity index, root mean squared error, and Frèchet Inception Distance and show that CUT significantly outperforms cycleGAN while requiring less time and fewer resources. The investigated method improves the feasibility of online adaptive radiotherapy over the present state-of-the-art.

Indexed as

Spiral Cone-Beam Computed TomographyCone-Beam Computed TomographyHumansImage Processing, Computer-AssistedRadiotherapy DosageRadiotherapy Planning, Computer-Assistedadaptive radiotherapydeep learningimage synthesisimage translationmachine learning

Identifiers

PMID37345557
PMCPMC10562022

What Socratic 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 Socratic graph.