Evidence map›Paper›PMID 41327225›Full record

ArticleRadiation oncology (London, England)2025

Metal artifact reduction in spectral computed tomography for intracavity brachytherapy in cervical cancer patients: a prospective study.

Yuliang Sun, Yining Chen, Zheng Zeng, Bing Zhou, Haoran Xu, Junfang Yan, Ke Hu, Fuquan Zhang

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yuliang Sun *Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China.
Yining Chen *Eight-Year Medical Doctor Program, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zheng Zeng *Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China.
Bing ZhouDepartment of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China.
Haoran XuDepartment of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China.
Junfang YanDepartment of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China. yanjunfang@pumch.cn.ORCID https://orcid.org/0009-0008-8785-9948
Ke HuDepartment of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China. huke8000@126.com.ORCID https://orcid.org/0000-0003-1079-5137
Fuquan ZhangDepartment of Radiation Oncology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China. zhangfq@pumch.cn.ORCID https://orcid.org/0000-0002-6856-2320

Funding

CAMS Innovation Fund for Medical Sciences (CIFMS) 2023-I2M-C&T-B-039National High Level Hospital Clinical Research Funding 2022-PUMCH-B-052National Key R&D Program of China, Ministry of Science and Technology of the People's Republic of China 2022YFC2407100 and 2022YFC2407101
6 · The paper itself

Abstract

backgroundThis study aims to evaluate the effectiveness of combining virtual monochromatic images (VMI) with metal artifact reduction (MAR) algorithms in reducing metal artifacts in cervical cancer patients undergoing intracavitary brachytherapy. MATERIALS AND

methodsFifty cervical cancer patients scheduled for intracavitary brachytherapy underwent spectral computed tomography (CT) images. VMI + MAR/no-MAR were reconstructed at energies ranging from 40 to 140 keV. CT attenuation and image noise (standard deviation) were measured to calculate the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) for the most prominent artifacts, and the artifact index (AI) for the cervix, bladder, and rectum. Objective metrics were compared between the VMI + MAR and VMI + no-MAR groups. Subjective image quality was evaluated using a 5-point Likert scale, focusing on artifact reduction, soft tissue contrast, and contouring preference. Geometric distortion was assessed by measuring the long axis, short axis, and long-to-short axis ratio (L/S) of the titanium applicator. Contouring consistency was quantified using the Dice Similarity Coefficient (DSC) and 95th percentile Hausdorff Distance (HD95) between two radiation oncologists.

resultsVMI + MAR significantly reduced the AI for the cervix (relative 34.74%-88.51% reduction) and rectum (relative 11.31%-81.35% reduction) compared to VMI + no-MAR across all energies (all p < 0.05). SNR increased from 0.70–1.00 to 1.75–1.97, and CNR improved significantly from 90 keV onwards (p < 0.05). 140 keV + MAR achieved the highest SNR and CNR with the lowest AI. Subjective assessment further confirmed that 140 keV + MAR offered the best balance between artifact reduction and soft tissue contrast, with significantly higher scores for artifact reduction and contouring preference (p < 0.001). Distortion analysis showed that with increasing VMI energy, long (40-140 keV: from 8.10 to 6.17 mm) and short axes (40-140 keV: from 6.93 to 5.55 mm) decreased, and L/S approached 1 (p < 0.001). Contouring consistency analysis further demonstrated that 140 keV + MAR achieved the highest DSC and lowest HD95 among all energy-MAR combinations, indicating superior reproducibility of target and organ-at-risk delineations.

conclusionsFor the investigated cases and imaging procedures, high-energy VMI combined with MAR, particularly 140 keV + MAR, provided the most effective balance of artifact reduction, geometric accuracy, and clinical contouring suitability.

Indexed as

ArtifactsBrachytherapyMetalsTomography, X-Ray ComputedUterine Cervical NeoplasmsAdultAgedAlgorithmsFemaleHumansImage Processing, Computer-AssistedMiddle AgedProspective StudiesRadiotherapy Planning, Computer-AssistedSignal-To-Noise RatioMetalsCervical cancerImage-based intracavity brachytherapyMetal artifact reductionSpectral computed tomography

Identifiers

PMID41327225
PMCPMC12777277

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