Evidence map›Paper›PMID 40952292›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2025

Feasibility Study of Using Kv-Cone Beam CT Images as Patient Specific Quality Assurance Tool.

Bose Nathaniel V, Srinidhi Gururajarao Chandraguthi, Shreekripa Rao, Shirley Lewis, Rechal Nisha Dsouza

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 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

5 authors.

Bose Nathaniel VMedical Radiation Physics programme Department of Radiation Oncology Manipal College of Health Professions,Manipal Academy of Higher Education, Manipal. 576104, Karnataka, India.
Srinidhi Gururajarao ChandraguthiDepartment of Radiation Oncology Senior Grade Lecturer Kasturba Medical College, Manipal Manipal Academy of Higher Education, Manipal-576104, Karnataka, India.ORCID 0000-0001-9717-5410
Shreekripa RaoMedical Radiation Physics programme Department of Radiation Oncology Manipal College of Health Professions,Manipal Academy of Higher Education, Manipal. 576104, Karnataka, India.ORCID 0000-0002-1354-2218
Shirley LewisDepartment of Radiation Oncology Senior Grade Lecturer Kasturba Medical College, Manipal Manipal Academy of Higher Education, Manipal-576104, Karnataka, India.ORCID 0000-0001-5306-1649
Rechal Nisha DsouzaMedical Radiation Physics programme Department of Radiation Oncology Manipal College of Health Professions,Manipal Academy of Higher Education, Manipal. 576104, Karnataka, India.ORCID 0000-0002-4005-4324

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatient-specific quality assurance (PSQA) typically involves the comparison between the planned fluence and the delivered fluence of a routine CT (Computed Tomography)-based radiotherapy plan. In contrast the study focuses on evaluating the kV-CBCT (Kilovoltage Cone beam Computed Tomography) image set as a potential tool for assessing the delivered dose for  images of same cervical cancer patient, enabling the daily assessment and verification of planned dose distributions.

methodsThis research comprised 13 cervical cancer patients who received treatment at the Department of Radiation therapy and Oncology, Kasturba Hospital, Manipal, between 2023 and 2024. Monaco software-5.11.03 was used for image registration, segmentation and treatment planning. Planned fluence verification was analysed using the PTW MEPHYSTO software, a fluence comparison tool.

resultsMinor, statistically insignificant differences were observed in dose distribution between kVCBCT and routine CT image-based plans. The planned fluence on kVCBCT images met gamma criteria for most cases, with occasional deviations in specific anatomical planes.

conclusionThis study sums up that the dose distribution and planned fluence on kVCBCT images effectively correlated with planning CT images, thereby supporting the daily verification and assessment of planned dose distributions using kVCBCT images for cervical cancer cases.

Indexed as

Cone-Beam Computed TomographyQuality Assurance, Health CareRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedUterine Cervical NeoplasmsFeasibility StudiesFemaleFollow-Up StudiesHumansPrognosisRadiotherapy Dosagedose calculationElectron densityHUkV CBCTPSQA

Identifiers

PMID40952292
PMCPMC12882019

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LicenceCC BY-NC
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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.