CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy
To investigate the feasibility of using cone-beam computed tomography (CBCT)-derived synthetic CTs to monitor the daily dose and trigger a plan review for adaptive proton therapy (APT) in head and neck cancer (HNC) patients. For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-da...
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Veröffentlicht in: | Cancers 2023-07, Vol.15 (15), p.3881 |
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description | To investigate the feasibility of using cone-beam computed tomography (CBCT)-derived synthetic CTs to monitor the daily dose and trigger a plan review for adaptive proton therapy (APT) in head and neck cancer (HNC) patients.
For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-day CBCT and verification CT (vfCT) pairs were retrospectively collected. The ground truth CT (gtCT) was created by deforming the vfCT to the same-day CBCT, and it was then used as a dosimetric baseline and for establishing plan review trigger recommendations. Two different synthetic CT algorithms were tested; the corrected CBCT (corrCBCT) was created using an iterative image correction method and the virtual CT (virtCT) was created by deforming the planning CT to the CBCT, followed by a low-density masking process. Clinical treatment plans were recalculated on the image sets for evaluation.
Plan review trigger criteria for adaptive therapy were established after closely reviewing the cohort data. Compared to the vfCT, the corrCBCT and virtCT reliably produced dosimetric data more similar to the gtCT. The average discrepancy in D99 for high-risk clinical target volumes (CTV) was 1.1%, 0.7%, and 0.4% and for standard-risk CTVs was 1.8%, 0.5%, and 0.5% for the vfCT, corrCBCT, and virtCT, respectively.
Streamlined APT has been achieved with the proposed plan review criteria and CBCT-based synthetic CT workflow. |
doi_str_mv | 10.3390/cancers15153881 |
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For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-day CBCT and verification CT (vfCT) pairs were retrospectively collected. The ground truth CT (gtCT) was created by deforming the vfCT to the same-day CBCT, and it was then used as a dosimetric baseline and for establishing plan review trigger recommendations. Two different synthetic CT algorithms were tested; the corrected CBCT (corrCBCT) was created using an iterative image correction method and the virtual CT (virtCT) was created by deforming the planning CT to the CBCT, followed by a low-density masking process. Clinical treatment plans were recalculated on the image sets for evaluation.
Plan review trigger criteria for adaptive therapy were established after closely reviewing the cohort data. Compared to the vfCT, the corrCBCT and virtCT reliably produced dosimetric data more similar to the gtCT. The average discrepancy in D99 for high-risk clinical target volumes (CTV) was 1.1%, 0.7%, and 0.4% and for standard-risk CTVs was 1.8%, 0.5%, and 0.5% for the vfCT, corrCBCT, and virtCT, respectively.
Streamlined APT has been achieved with the proposed plan review criteria and CBCT-based synthetic CT workflow.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers15153881</identifier><identifier>PMID: 37568697</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Algorithms ; Anatomy ; Cancer ; Cancer therapies ; Care and treatment ; Clinical medicine ; Computed tomography ; Computer software industry ; CT imaging ; Dosimetry ; Head & neck cancer ; Patients ; Photons ; Physicists ; Planning ; Protons ; Radiation ; Radiation therapy ; Radiotherapy ; Tomography</subject><ispartof>Cancers, 2023-07, Vol.15 (15), p.3881</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-219c40be019afb342061e32bf1c89e6ecdbe7258982e0b4bf9472da0bf430343</citedby><cites>FETCH-LOGICAL-c489t-219c40be019afb342061e32bf1c89e6ecdbe7258982e0b4bf9472da0bf430343</cites><orcidid>0000-0002-6750-4356 ; 0000-0001-6436-264X ; 0000-0002-1412-7155</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417147/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417147/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37568697$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Reiners, Keaton</creatorcontrib><creatorcontrib>Dagan, Roi</creatorcontrib><creatorcontrib>Holtzman, Adam</creatorcontrib><creatorcontrib>Bryant, Curtis</creatorcontrib><creatorcontrib>Andersson, Sebastian</creatorcontrib><creatorcontrib>Nilsson, Rasmus</creatorcontrib><creatorcontrib>Hong, Liu</creatorcontrib><creatorcontrib>Johnson, Perry</creatorcontrib><creatorcontrib>Zhang, Yawei</creatorcontrib><title>CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy</title><title>Cancers</title><addtitle>Cancers (Basel)</addtitle><description>To investigate the feasibility of using cone-beam computed tomography (CBCT)-derived synthetic CTs to monitor the daily dose and trigger a plan review for adaptive proton therapy (APT) in head and neck cancer (HNC) patients.
For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-day CBCT and verification CT (vfCT) pairs were retrospectively collected. The ground truth CT (gtCT) was created by deforming the vfCT to the same-day CBCT, and it was then used as a dosimetric baseline and for establishing plan review trigger recommendations. Two different synthetic CT algorithms were tested; the corrected CBCT (corrCBCT) was created using an iterative image correction method and the virtual CT (virtCT) was created by deforming the planning CT to the CBCT, followed by a low-density masking process. Clinical treatment plans were recalculated on the image sets for evaluation.
Plan review trigger criteria for adaptive therapy were established after closely reviewing the cohort data. Compared to the vfCT, the corrCBCT and virtCT reliably produced dosimetric data more similar to the gtCT. The average discrepancy in D99 for high-risk clinical target volumes (CTV) was 1.1%, 0.7%, and 0.4% and for standard-risk CTVs was 1.8%, 0.5%, and 0.5% for the vfCT, corrCBCT, and virtCT, respectively.
Streamlined APT has been achieved with the proposed plan review criteria and CBCT-based synthetic CT workflow.</description><subject>Algorithms</subject><subject>Anatomy</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Clinical medicine</subject><subject>Computed tomography</subject><subject>Computer software industry</subject><subject>CT imaging</subject><subject>Dosimetry</subject><subject>Head & neck cancer</subject><subject>Patients</subject><subject>Photons</subject><subject>Physicists</subject><subject>Planning</subject><subject>Protons</subject><subject>Radiation</subject><subject>Radiation therapy</subject><subject>Radiotherapy</subject><subject>Tomography</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkk1v1DAQhi0EolXpmRuyxIVLWn_Fjk9od_koUoGVyBVZjjNJXbL21s5W6r_HS0tpK-yDR-Nn3vFrDUKvKTnhXJNTZ4ODlGlNa9409Bk6ZESxSkotnj-ID9BxzpekLM6pkuolOuCqlo3U6hD9XC1XbbW0GXr8IWbAX2Pwc0w-jNiGHi96u539NeD1ZEPYZ9vkx7G0xT7gM7D9H-wbuF94vfyB1ynOMeD2ApLd3rxCLwY7ZTi-O49Q--ljuzqrzr9__rJanFdONHquGNVOkA4I1XbouGBEUuCsG6hrNEhwfQeK1Y1uGJBOdIMWivWWdIPghAt-hN7fym533QZ6B2FOdjLb5Dc23ZhovXl8E_yFGeO1oURQRYUqCu_uFFK82kGezcZnB1MxDXGXDWtqwmmjJC_o2yfoZdylUOwVSuzfSAj7R412AuPDEEtjtxc1CyVJTYvJulAn_6HK7mHjXQww-JJ_VHB6W-BSzDnBcG-SErMfCvNkKErFm4d_c8__HQH-Gw_xsQI</recordid><startdate>20230730</startdate><enddate>20230730</enddate><creator>Reiners, Keaton</creator><creator>Dagan, Roi</creator><creator>Holtzman, Adam</creator><creator>Bryant, Curtis</creator><creator>Andersson, Sebastian</creator><creator>Nilsson, Rasmus</creator><creator>Hong, Liu</creator><creator>Johnson, Perry</creator><creator>Zhang, Yawei</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TO</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6750-4356</orcidid><orcidid>https://orcid.org/0000-0001-6436-264X</orcidid><orcidid>https://orcid.org/0000-0002-1412-7155</orcidid></search><sort><creationdate>20230730</creationdate><title>CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy</title><author>Reiners, Keaton ; 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For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-day CBCT and verification CT (vfCT) pairs were retrospectively collected. The ground truth CT (gtCT) was created by deforming the vfCT to the same-day CBCT, and it was then used as a dosimetric baseline and for establishing plan review trigger recommendations. Two different synthetic CT algorithms were tested; the corrected CBCT (corrCBCT) was created using an iterative image correction method and the virtual CT (virtCT) was created by deforming the planning CT to the CBCT, followed by a low-density masking process. Clinical treatment plans were recalculated on the image sets for evaluation.
Plan review trigger criteria for adaptive therapy were established after closely reviewing the cohort data. Compared to the vfCT, the corrCBCT and virtCT reliably produced dosimetric data more similar to the gtCT. The average discrepancy in D99 for high-risk clinical target volumes (CTV) was 1.1%, 0.7%, and 0.4% and for standard-risk CTVs was 1.8%, 0.5%, and 0.5% for the vfCT, corrCBCT, and virtCT, respectively.
Streamlined APT has been achieved with the proposed plan review criteria and CBCT-based synthetic CT workflow.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>37568697</pmid><doi>10.3390/cancers15153881</doi><orcidid>https://orcid.org/0000-0002-6750-4356</orcidid><orcidid>https://orcid.org/0000-0001-6436-264X</orcidid><orcidid>https://orcid.org/0000-0002-1412-7155</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Anatomy Cancer Cancer therapies Care and treatment Clinical medicine Computed tomography Computer software industry CT imaging Dosimetry Head & neck cancer Patients Photons Physicists Planning Protons Radiation Radiation therapy Radiotherapy Tomography |
title | CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy |
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