Loading…

The geometric and dosimetric accuracy of kilovoltage cone beam computed tomography images for adaptive treatment: a systematic review

To provide an overview and meta-analysis of different techniques adopted to accomplish kVCBCT for dose calculation and automated segmentation. A systematic review and meta-analysis were performed on eligible studies demonstrating kVCBCT-based dose calculation and automated contouring of different tu...

Full description

Saved in:
Bibliographic Details
Published in:BJR open 2023-05, Vol.5 (1), p.20220062-20220062
Main Authors: Jassim, Hussam, Nedaei, Hassan A, Geraily, Ghazale, Banaee, Nooshin, Kazemian, Ali
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c274t-51f0fd565babb4eecc796f32d579a5c1990eabb9309b3f8d9094114f32c7cf5b3
container_end_page 20220062
container_issue 1
container_start_page 20220062
container_title BJR open
container_volume 5
creator Jassim, Hussam
Nedaei, Hassan A
Geraily, Ghazale
Banaee, Nooshin
Kazemian, Ali
description To provide an overview and meta-analysis of different techniques adopted to accomplish kVCBCT for dose calculation and automated segmentation. A systematic review and meta-analysis were performed on eligible studies demonstrating kVCBCT-based dose calculation and automated contouring of different tumor features. Meta-analysis of the performance was accomplished on the reported γ analysis and dice similarity coefficient (DSC) score of both collected results as three subgroups (head and neck, chest, and abdomen). After the literature scrutinization ( = 1008), 52 papers were recognized for the systematic review. Nine studies of dosimtric studies and eleven studies of geometric analysis were suitable for inclusion in meta-analysis. Using kVCBCT for treatment replanning depends on a method used. Deformable Image Registration (DIR) methods yielded small dosimetric error (≤2%), γ pass rate (≥90%) and DSC (≥0.8). Hounsfield Unit (HU) override and calibration curve-based methods also achieved satisfactory yielded small dosimetric error (≤2%) and γ pass rate ((≥90%), but they are prone to error due to their sensitivity to a vendor-specific variation in kVCBCT image quality. Large cohorts of patients ought to be undertaken to validate methods achieving low levels of dosimetric and geometric errors. Quality guidelines should be established when reporting on kVCBCT, which include agreed metrics for reporting on the quality of corrected kVCBCT and defines protocols of new site-specific standardized imaging used when obtaining kVCBCT images for adaptive radiotherapy. This review gives useful knowledge about methods making kVCBCT feasible for kVCBCT-based adaptive radiotherapy, simplifying patient pathway and reducing concomitant imaging dose to the patient.
doi_str_mv 10.1259/bjro.20220062
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10301728</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2832572826</sourcerecordid><originalsourceid>FETCH-LOGICAL-c274t-51f0fd565babb4eecc796f32d579a5c1990eabb9309b3f8d9094114f32c7cf5b3</originalsourceid><addsrcrecordid>eNpVkU9P3DAQxa0KVBBw5Fr52Euo_8RJzKVCqEAlJC5wthxnvGsax8F2Fu0H6PfGCBbBaWb0fnrzpIfQKSVnlAn5q3-M4YwRxghp2Dd0yATllezabu_TfoBOUnokpGB13TDxHR3wlneSkO4Q_b9fA15B8JCjM1hPAx5CcrvTmCVqs8XB4n9uDJswZr0CbMIEuAfty-bnJcOAc_BhFfW83mLnC5OwDRHrQc_ZbQDnCDp7mPI51jhtUwavc_kQYePg-RjtWz0mOHmfR-jh6s_95U11e3f99_LitjKsrXMlqCV2EI3odd_XAMa0srGcDaKVWhgqJYGiSE5kz203SCJrSutCmNZY0fMj9PvNd156D4MpeaIe1RxL5LhVQTv1VZncWq3CRlHCCW1ZVxx-vjvE8LRAysq7ZGAc9QRhSaogTBSQNQWt3lATQ0oR7McfStRrfeq1PrWrr_A_Pof7oHdl8RcC1prj</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2832572826</pqid></control><display><type>article</type><title>The geometric and dosimetric accuracy of kilovoltage cone beam computed tomography images for adaptive treatment: a systematic review</title><source>Open Access: PubMed Central</source><source>Oxford University Press Open Access</source><creator>Jassim, Hussam ; Nedaei, Hassan A ; Geraily, Ghazale ; Banaee, Nooshin ; Kazemian, Ali</creator><creatorcontrib>Jassim, Hussam ; Nedaei, Hassan A ; Geraily, Ghazale ; Banaee, Nooshin ; Kazemian, Ali</creatorcontrib><description>To provide an overview and meta-analysis of different techniques adopted to accomplish kVCBCT for dose calculation and automated segmentation. A systematic review and meta-analysis were performed on eligible studies demonstrating kVCBCT-based dose calculation and automated contouring of different tumor features. Meta-analysis of the performance was accomplished on the reported γ analysis and dice similarity coefficient (DSC) score of both collected results as three subgroups (head and neck, chest, and abdomen). After the literature scrutinization ( = 1008), 52 papers were recognized for the systematic review. Nine studies of dosimtric studies and eleven studies of geometric analysis were suitable for inclusion in meta-analysis. Using kVCBCT for treatment replanning depends on a method used. Deformable Image Registration (DIR) methods yielded small dosimetric error (≤2%), γ pass rate (≥90%) and DSC (≥0.8). Hounsfield Unit (HU) override and calibration curve-based methods also achieved satisfactory yielded small dosimetric error (≤2%) and γ pass rate ((≥90%), but they are prone to error due to their sensitivity to a vendor-specific variation in kVCBCT image quality. Large cohorts of patients ought to be undertaken to validate methods achieving low levels of dosimetric and geometric errors. Quality guidelines should be established when reporting on kVCBCT, which include agreed metrics for reporting on the quality of corrected kVCBCT and defines protocols of new site-specific standardized imaging used when obtaining kVCBCT images for adaptive radiotherapy. This review gives useful knowledge about methods making kVCBCT feasible for kVCBCT-based adaptive radiotherapy, simplifying patient pathway and reducing concomitant imaging dose to the patient.</description><identifier>ISSN: 2513-9878</identifier><identifier>EISSN: 2513-9878</identifier><identifier>DOI: 10.1259/bjro.20220062</identifier><identifier>PMID: 37389008</identifier><language>eng</language><publisher>England: The British Institute of Radiology</publisher><subject>Original Research</subject><ispartof>BJR open, 2023-05, Vol.5 (1), p.20220062-20220062</ispartof><rights>2023 The Authors. Published by the British Institute of Radiology.</rights><rights>2023 The Authors. Published by the British Institute of Radiology 2023 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c274t-51f0fd565babb4eecc796f32d579a5c1990eabb9309b3f8d9094114f32c7cf5b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301728/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301728/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37389008$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jassim, Hussam</creatorcontrib><creatorcontrib>Nedaei, Hassan A</creatorcontrib><creatorcontrib>Geraily, Ghazale</creatorcontrib><creatorcontrib>Banaee, Nooshin</creatorcontrib><creatorcontrib>Kazemian, Ali</creatorcontrib><title>The geometric and dosimetric accuracy of kilovoltage cone beam computed tomography images for adaptive treatment: a systematic review</title><title>BJR open</title><addtitle>BJR Open</addtitle><description>To provide an overview and meta-analysis of different techniques adopted to accomplish kVCBCT for dose calculation and automated segmentation. A systematic review and meta-analysis were performed on eligible studies demonstrating kVCBCT-based dose calculation and automated contouring of different tumor features. Meta-analysis of the performance was accomplished on the reported γ analysis and dice similarity coefficient (DSC) score of both collected results as three subgroups (head and neck, chest, and abdomen). After the literature scrutinization ( = 1008), 52 papers were recognized for the systematic review. Nine studies of dosimtric studies and eleven studies of geometric analysis were suitable for inclusion in meta-analysis. Using kVCBCT for treatment replanning depends on a method used. Deformable Image Registration (DIR) methods yielded small dosimetric error (≤2%), γ pass rate (≥90%) and DSC (≥0.8). Hounsfield Unit (HU) override and calibration curve-based methods also achieved satisfactory yielded small dosimetric error (≤2%) and γ pass rate ((≥90%), but they are prone to error due to their sensitivity to a vendor-specific variation in kVCBCT image quality. Large cohorts of patients ought to be undertaken to validate methods achieving low levels of dosimetric and geometric errors. Quality guidelines should be established when reporting on kVCBCT, which include agreed metrics for reporting on the quality of corrected kVCBCT and defines protocols of new site-specific standardized imaging used when obtaining kVCBCT images for adaptive radiotherapy. This review gives useful knowledge about methods making kVCBCT feasible for kVCBCT-based adaptive radiotherapy, simplifying patient pathway and reducing concomitant imaging dose to the patient.</description><subject>Original Research</subject><issn>2513-9878</issn><issn>2513-9878</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpVkU9P3DAQxa0KVBBw5Fr52Euo_8RJzKVCqEAlJC5wthxnvGsax8F2Fu0H6PfGCBbBaWb0fnrzpIfQKSVnlAn5q3-M4YwRxghp2Dd0yATllezabu_TfoBOUnokpGB13TDxHR3wlneSkO4Q_b9fA15B8JCjM1hPAx5CcrvTmCVqs8XB4n9uDJswZr0CbMIEuAfty-bnJcOAc_BhFfW83mLnC5OwDRHrQc_ZbQDnCDp7mPI51jhtUwavc_kQYePg-RjtWz0mOHmfR-jh6s_95U11e3f99_LitjKsrXMlqCV2EI3odd_XAMa0srGcDaKVWhgqJYGiSE5kz203SCJrSutCmNZY0fMj9PvNd156D4MpeaIe1RxL5LhVQTv1VZncWq3CRlHCCW1ZVxx-vjvE8LRAysq7ZGAc9QRhSaogTBSQNQWt3lATQ0oR7McfStRrfeq1PrWrr_A_Pof7oHdl8RcC1prj</recordid><startdate>20230516</startdate><enddate>20230516</enddate><creator>Jassim, Hussam</creator><creator>Nedaei, Hassan A</creator><creator>Geraily, Ghazale</creator><creator>Banaee, Nooshin</creator><creator>Kazemian, Ali</creator><general>The British Institute of Radiology</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230516</creationdate><title>The geometric and dosimetric accuracy of kilovoltage cone beam computed tomography images for adaptive treatment: a systematic review</title><author>Jassim, Hussam ; Nedaei, Hassan A ; Geraily, Ghazale ; Banaee, Nooshin ; Kazemian, Ali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c274t-51f0fd565babb4eecc796f32d579a5c1990eabb9309b3f8d9094114f32c7cf5b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Original Research</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jassim, Hussam</creatorcontrib><creatorcontrib>Nedaei, Hassan A</creatorcontrib><creatorcontrib>Geraily, Ghazale</creatorcontrib><creatorcontrib>Banaee, Nooshin</creatorcontrib><creatorcontrib>Kazemian, Ali</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BJR open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jassim, Hussam</au><au>Nedaei, Hassan A</au><au>Geraily, Ghazale</au><au>Banaee, Nooshin</au><au>Kazemian, Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The geometric and dosimetric accuracy of kilovoltage cone beam computed tomography images for adaptive treatment: a systematic review</atitle><jtitle>BJR open</jtitle><addtitle>BJR Open</addtitle><date>2023-05-16</date><risdate>2023</risdate><volume>5</volume><issue>1</issue><spage>20220062</spage><epage>20220062</epage><pages>20220062-20220062</pages><issn>2513-9878</issn><eissn>2513-9878</eissn><abstract>To provide an overview and meta-analysis of different techniques adopted to accomplish kVCBCT for dose calculation and automated segmentation. A systematic review and meta-analysis were performed on eligible studies demonstrating kVCBCT-based dose calculation and automated contouring of different tumor features. Meta-analysis of the performance was accomplished on the reported γ analysis and dice similarity coefficient (DSC) score of both collected results as three subgroups (head and neck, chest, and abdomen). After the literature scrutinization ( = 1008), 52 papers were recognized for the systematic review. Nine studies of dosimtric studies and eleven studies of geometric analysis were suitable for inclusion in meta-analysis. Using kVCBCT for treatment replanning depends on a method used. Deformable Image Registration (DIR) methods yielded small dosimetric error (≤2%), γ pass rate (≥90%) and DSC (≥0.8). Hounsfield Unit (HU) override and calibration curve-based methods also achieved satisfactory yielded small dosimetric error (≤2%) and γ pass rate ((≥90%), but they are prone to error due to their sensitivity to a vendor-specific variation in kVCBCT image quality. Large cohorts of patients ought to be undertaken to validate methods achieving low levels of dosimetric and geometric errors. Quality guidelines should be established when reporting on kVCBCT, which include agreed metrics for reporting on the quality of corrected kVCBCT and defines protocols of new site-specific standardized imaging used when obtaining kVCBCT images for adaptive radiotherapy. This review gives useful knowledge about methods making kVCBCT feasible for kVCBCT-based adaptive radiotherapy, simplifying patient pathway and reducing concomitant imaging dose to the patient.</abstract><cop>England</cop><pub>The British Institute of Radiology</pub><pmid>37389008</pmid><doi>10.1259/bjro.20220062</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2513-9878
ispartof BJR open, 2023-05, Vol.5 (1), p.20220062-20220062
issn 2513-9878
2513-9878
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10301728
source Open Access: PubMed Central; Oxford University Press Open Access
subjects Original Research
title The geometric and dosimetric accuracy of kilovoltage cone beam computed tomography images for adaptive treatment: a systematic review
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T00%3A29%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20geometric%20and%20dosimetric%20accuracy%20of%20kilovoltage%20cone%20beam%20computed%20tomography%20images%20for%20adaptive%20treatment:%20a%20systematic%20review&rft.jtitle=BJR%20open&rft.au=Jassim,%20Hussam&rft.date=2023-05-16&rft.volume=5&rft.issue=1&rft.spage=20220062&rft.epage=20220062&rft.pages=20220062-20220062&rft.issn=2513-9878&rft.eissn=2513-9878&rft_id=info:doi/10.1259/bjro.20220062&rft_dat=%3Cproquest_pubme%3E2832572826%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c274t-51f0fd565babb4eecc796f32d579a5c1990eabb9309b3f8d9094114f32c7cf5b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2832572826&rft_id=info:pmid/37389008&rfr_iscdi=true