Evidence map›Paper›PMID 39698658›Full record

ArticleQuantitative imaging in medicine and surgery2024

A feasibility study of using virtual noncontrast images synthesized from dual-energy computed tomography for radiotherapy treatment planning.

Shuoyang Wei, Qizhen Zhu, Lang Yu, Wenbo Li, Bing Zhou, Mengya Guo, Jiaqi Dai, Xiaonan Liu, Bo Yang, Jie Qiu

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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

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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.

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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

10 authors.

Shuoyang WeiDepartment of Radiotherapy, Peking Union Medical College Hospital, Beijing, China.
Qizhen ZhuDepartment of Radiotherapy, Peking Union Medical College Hospital, Beijing, China.
Lang YuDepartment of Radiotherapy, Peking Union Medical College Hospital, Beijing, China.
Wenbo LiDepartment of Radiotherapy, Peking Union Medical College Hospital, Beijing, China.
Bing ZhouDepartment of Radiotherapy, Peking Union Medical College Hospital, Beijing, China.
Mengya GuoCT Imaging Research Center, GE Healthcare China, Beijing, China.
Jiaqi DaiCT Imaging Research Center, GE Healthcare China, Beijing, China.
Xiaonan LiuCT Imaging Research Center, GE Healthcare China, Beijing, China.
Bo YangDepartment of Radiotherapy, Peking Union Medical College Hospital, Beijing, China.
Jie QiuDepartment of Radiotherapy, Peking Union Medical College Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the traditional computed tomography (CT) simulation process, patients need to undergo CT scans before and after injection of iodine-based contrast agent, resulting in a cumbersome workflow and additional imaging dose. Contrast-enhanced spectral CT can synthesize true contrast-enhanced (TCE) images and virtual noncontrast (VNC) images in a single scan without geometric misalignment. To improve work efficiency and reduce patients' imaging dose, we studied the feasibility of using VNC images for radiotherapy treatment planning, with true noncontrast (TNC) images as references and explored its dosimetric advantages compared to using TCE images. Specifically, this study examined tumors near bones, including cases of bone metastasis and myeloma. Methods: A total of 54 patients (20 patients with cervical cancer, 15 patients with esophageal cancer, and 15 patients with laryngeal cancer, and 4 patients with bone metastasis or hip replacement) who underwent non-contrast-enhanced and contrast-enhanced spectral CT simulation were retrospectively enrolled between July 2023 and March 2024. The study was approved by the institutional review board. The CT images were acquired using a second-generation fast kilovoltage peak-switching CT. Treatment plans for photon radiotherapy were optimized and calculated using TNC images and recalculated based on TCE and VNC images. To evaluate image and dosimetric equivalent, several metrics, including Hounsfield unit (HU) value differences, gamma pass rates and dose-volume histogram (DVH) parameters of planning target volume (PTV), and organs at risk (OARs), were compared. Results: In terms of HU value difference, for the majority of patients, the HU value differences of the PTV between TCE and TNC images (36.7±23.9 and 27.8±2.1 in esophageal and laryngeal cancer, respectively) were greater than those between VNC and TNC images (10.59±25.8 and 3.55±1.9 in esophageal and laryngeal cancer, respectively). Regarding dosimetry, the gamma pass rates between VNC and TNC were 1 in 2%/2 mm and 3%/3 mm. Most DVH parameter differences were less than 1% between the VNC and TNC plans and between TCE and TNC plans. Meanwhile, in some blood-rich OARs such as heart and small intestine, VNC shows dosimetric potential compared to TCE based on the statistically significant DVH parameters differences. Conclusions: By analyzing radiotherapy treatment plans with target areas located in different locations, including tumors near bones such as bone metastasis, we preliminarily verified the feasibility of using VNC images for photon dose calculation. This approach can effectively improve clinical workflow and reduce the image dose to patients.

Indexed as

radiotherapy treatment planningSpectral computed tomography (spectral CT)virtual noncontrast image (VNC image)

Identifiers

PMID39698658
PMCPMC11652005

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.