Impact of magnetic resonance imaging-related geometric distortion of dose distribution in fractionated stereotactic radiotherapy in patients with brain metastases
Purpose The geometric distortion related to magnetic resonance (MR) imaging in a diagnostic radiology (MR DR ) and radiotherapy (MR RT ) setup is evaluated, and the dosimetric impact of MR distortion on fractionated stereotactic radiotherapy (FSRT) in patients with brain metastases is simulated. Mat...
Gespeichert in:
Veröffentlicht in: | Strahlentherapie und Onkologie 2024, Vol.200 (1), p.39-48 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 48 |
---|---|
container_issue | 1 |
container_start_page | 39 |
container_title | Strahlentherapie und Onkologie |
container_volume | 200 |
creator | Ohira, Shingo Suzuki, Yuta Washio, Hayate Yamamoto, Yuki Tateishi, Soichiro Inui, Shoki Kanayama, Naoyuki Kawamata, Minoru Miyazaki, Masayoshi Nishio, Teiji Koizumi, Masahiko Nakanishi, Katsuyuki Konishi, Koji |
description | Purpose
The geometric distortion related to magnetic resonance (MR) imaging in a diagnostic radiology (MR
DR
) and radiotherapy (MR
RT
) setup is evaluated, and the dosimetric impact of MR distortion on fractionated stereotactic radiotherapy (FSRT) in patients with brain metastases is simulated.
Materials and methods
An anthropomorphic skull phantom was scanned using a 1.5‑T MR scanner, and the magnitude of MR distortion was calculated with (MR
DR
-DC and MR
RT
-DC) and without (MR
DR
-nDC and MR
RT
-nDC) distortion-correction algorithms. Automated noncoplanar volumetric modulated arc therapy (HyperArc, HA; Varian Medical Systems, Palo Alto, CA, USA) plans were generated for 53 patients with 186 brain metastases. The MR distortion at each gross tumor volume (GTV) was calculated using the distance between the center of the GTV and the MR image isocenter (MIC) and the quadratic regression curve derived from the phantom study (MR
RT
-DC and MR
RT
-nDC). Subsequently, the radiation isocenter of the HA plans was shifted according to the MR distortion at each GTV (HA
DC
and HA
nDC
).
Results
The median MR distortions were approximately 0.1 mm when the distance from the MIC was 60 mm (0.23, 0.47, 0.37, and 0.57 mm in MR
DR
-DC, MR
DR
-nDC, MR
RT
-DC, and MR
RT
-nDC, respectively). The dose to the 98% of the GTV volume (D
98%
) decreased as the distance from the MIC increased. In the HA
DC
plans, the relative dose difference of D
98%
was less than 5% when the GTV was located within 70 mm from the MIC, whereas the underdose of GTV exceeded 5% when it was 48 mm (−26.5% at maximum) away from the MIC in the HA
nDC
plans.
Conclusion
Use of a distortion-correction algorithm in the studied MR diagnoses is essential, and the dosimetric impact of MR distortion is not negligible, particularly for tumors located far away from the MIC. |
doi_str_mv | 10.1007/s00066-023-02120-7 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2853940751</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2913260218</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-37cef4af65b4a1735d28cc80689d3a57bdac5af9010194811067c7f2345349a43</originalsourceid><addsrcrecordid>eNp9kcFq3DAQhkVpaDZpX6CHYuilFzcjS7asYwlpGwj00kBuQpbHG4W15EoyJa_TJ-3sbppCDwUJiV_fPzPoZ-wth48cQF1kAOi6GhpBmzdQqxdsw6XQNWh995JtgCtdK972p-ws5wcA3kktX7FToVrNteo37Nf1vFhXqjhVs90GLN5VCXMMNjisPGk-bOuEO1twrLYYZyyJmNHnElPxMeytY8x4kJIf1oPoQzUlKkz3gzMXTBjLXqEGdvSx3GOyy-OeXGzxGEqufvpyXw3JkkZ9bKaF-TU7mewu45un85zdfr76fvm1vvn25fry003tRNOVWiiHk7RT1w7SciXasemd66Hr9Shsq4bRutZOGjhwLXvOoVNOTY2QrZDaSnHOPhzrLin-WDEXM_vscLezAeOaTdO3QktQLSf0_T_oQ1xToOlMozmNQ3n0RDVHyqWYc8LJLIl-ND0aDmafoDkmaChBc0jQKDK9eyq9DjOOz5Y_kREgjkCmp7DF9Lf3f8r-BtGvqkE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2913260218</pqid></control><display><type>article</type><title>Impact of magnetic resonance imaging-related geometric distortion of dose distribution in fractionated stereotactic radiotherapy in patients with brain metastases</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Ohira, Shingo ; Suzuki, Yuta ; Washio, Hayate ; Yamamoto, Yuki ; Tateishi, Soichiro ; Inui, Shoki ; Kanayama, Naoyuki ; Kawamata, Minoru ; Miyazaki, Masayoshi ; Nishio, Teiji ; Koizumi, Masahiko ; Nakanishi, Katsuyuki ; Konishi, Koji</creator><creatorcontrib>Ohira, Shingo ; Suzuki, Yuta ; Washio, Hayate ; Yamamoto, Yuki ; Tateishi, Soichiro ; Inui, Shoki ; Kanayama, Naoyuki ; Kawamata, Minoru ; Miyazaki, Masayoshi ; Nishio, Teiji ; Koizumi, Masahiko ; Nakanishi, Katsuyuki ; Konishi, Koji</creatorcontrib><description>Purpose
The geometric distortion related to magnetic resonance (MR) imaging in a diagnostic radiology (MR
DR
) and radiotherapy (MR
RT
) setup is evaluated, and the dosimetric impact of MR distortion on fractionated stereotactic radiotherapy (FSRT) in patients with brain metastases is simulated.
Materials and methods
An anthropomorphic skull phantom was scanned using a 1.5‑T MR scanner, and the magnitude of MR distortion was calculated with (MR
DR
-DC and MR
RT
-DC) and without (MR
DR
-nDC and MR
RT
-nDC) distortion-correction algorithms. Automated noncoplanar volumetric modulated arc therapy (HyperArc, HA; Varian Medical Systems, Palo Alto, CA, USA) plans were generated for 53 patients with 186 brain metastases. The MR distortion at each gross tumor volume (GTV) was calculated using the distance between the center of the GTV and the MR image isocenter (MIC) and the quadratic regression curve derived from the phantom study (MR
RT
-DC and MR
RT
-nDC). Subsequently, the radiation isocenter of the HA plans was shifted according to the MR distortion at each GTV (HA
DC
and HA
nDC
).
Results
The median MR distortions were approximately 0.1 mm when the distance from the MIC was < 30 mm, whereas the median distortion varied widely when the distance was > 60 mm (0.23, 0.47, 0.37, and 0.57 mm in MR
DR
-DC, MR
DR
-nDC, MR
RT
-DC, and MR
RT
-nDC, respectively). The dose to the 98% of the GTV volume (D
98%
) decreased as the distance from the MIC increased. In the HA
DC
plans, the relative dose difference of D
98%
was less than 5% when the GTV was located within 70 mm from the MIC, whereas the underdose of GTV exceeded 5% when it was 48 mm (−26.5% at maximum) away from the MIC in the HA
nDC
plans.
Conclusion
Use of a distortion-correction algorithm in the studied MR diagnoses is essential, and the dosimetric impact of MR distortion is not negligible, particularly for tumors located far away from the MIC.</description><identifier>ISSN: 0179-7158</identifier><identifier>EISSN: 1439-099X</identifier><identifier>DOI: 10.1007/s00066-023-02120-7</identifier><identifier>PMID: 37591978</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Brain ; Brain cancer ; Brain Neoplasms - diagnostic imaging ; Brain Neoplasms - radiotherapy ; Brain Neoplasms - secondary ; Distortion ; Humans ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Mathematical analysis ; Medical imaging ; Medicine ; Medicine & Public Health ; Metastasis ; Oncology ; Original Article ; Radiation therapy ; Radiosurgery - methods ; Radiotherapy ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted - methods ; Tumors</subject><ispartof>Strahlentherapie und Onkologie, 2024, Vol.200 (1), p.39-48</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-37cef4af65b4a1735d28cc80689d3a57bdac5af9010194811067c7f2345349a43</cites><orcidid>0000-0002-6170-1471</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00066-023-02120-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00066-023-02120-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37591978$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ohira, Shingo</creatorcontrib><creatorcontrib>Suzuki, Yuta</creatorcontrib><creatorcontrib>Washio, Hayate</creatorcontrib><creatorcontrib>Yamamoto, Yuki</creatorcontrib><creatorcontrib>Tateishi, Soichiro</creatorcontrib><creatorcontrib>Inui, Shoki</creatorcontrib><creatorcontrib>Kanayama, Naoyuki</creatorcontrib><creatorcontrib>Kawamata, Minoru</creatorcontrib><creatorcontrib>Miyazaki, Masayoshi</creatorcontrib><creatorcontrib>Nishio, Teiji</creatorcontrib><creatorcontrib>Koizumi, Masahiko</creatorcontrib><creatorcontrib>Nakanishi, Katsuyuki</creatorcontrib><creatorcontrib>Konishi, Koji</creatorcontrib><title>Impact of magnetic resonance imaging-related geometric distortion of dose distribution in fractionated stereotactic radiotherapy in patients with brain metastases</title><title>Strahlentherapie und Onkologie</title><addtitle>Strahlenther Onkol</addtitle><addtitle>Strahlenther Onkol</addtitle><description>Purpose
The geometric distortion related to magnetic resonance (MR) imaging in a diagnostic radiology (MR
DR
) and radiotherapy (MR
RT
) setup is evaluated, and the dosimetric impact of MR distortion on fractionated stereotactic radiotherapy (FSRT) in patients with brain metastases is simulated.
Materials and methods
An anthropomorphic skull phantom was scanned using a 1.5‑T MR scanner, and the magnitude of MR distortion was calculated with (MR
DR
-DC and MR
RT
-DC) and without (MR
DR
-nDC and MR
RT
-nDC) distortion-correction algorithms. Automated noncoplanar volumetric modulated arc therapy (HyperArc, HA; Varian Medical Systems, Palo Alto, CA, USA) plans were generated for 53 patients with 186 brain metastases. The MR distortion at each gross tumor volume (GTV) was calculated using the distance between the center of the GTV and the MR image isocenter (MIC) and the quadratic regression curve derived from the phantom study (MR
RT
-DC and MR
RT
-nDC). Subsequently, the radiation isocenter of the HA plans was shifted according to the MR distortion at each GTV (HA
DC
and HA
nDC
).
Results
The median MR distortions were approximately 0.1 mm when the distance from the MIC was < 30 mm, whereas the median distortion varied widely when the distance was > 60 mm (0.23, 0.47, 0.37, and 0.57 mm in MR
DR
-DC, MR
DR
-nDC, MR
RT
-DC, and MR
RT
-nDC, respectively). The dose to the 98% of the GTV volume (D
98%
) decreased as the distance from the MIC increased. In the HA
DC
plans, the relative dose difference of D
98%
was less than 5% when the GTV was located within 70 mm from the MIC, whereas the underdose of GTV exceeded 5% when it was 48 mm (−26.5% at maximum) away from the MIC in the HA
nDC
plans.
Conclusion
Use of a distortion-correction algorithm in the studied MR diagnoses is essential, and the dosimetric impact of MR distortion is not negligible, particularly for tumors located far away from the MIC.</description><subject>Algorithms</subject><subject>Brain</subject><subject>Brain cancer</subject><subject>Brain Neoplasms - diagnostic imaging</subject><subject>Brain Neoplasms - radiotherapy</subject><subject>Brain Neoplasms - secondary</subject><subject>Distortion</subject><subject>Humans</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Mathematical analysis</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metastasis</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Radiation therapy</subject><subject>Radiosurgery - methods</subject><subject>Radiotherapy</subject><subject>Radiotherapy Dosage</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Tumors</subject><issn>0179-7158</issn><issn>1439-099X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kcFq3DAQhkVpaDZpX6CHYuilFzcjS7asYwlpGwj00kBuQpbHG4W15EoyJa_TJ-3sbppCDwUJiV_fPzPoZ-wth48cQF1kAOi6GhpBmzdQqxdsw6XQNWh995JtgCtdK972p-ws5wcA3kktX7FToVrNteo37Nf1vFhXqjhVs90GLN5VCXMMNjisPGk-bOuEO1twrLYYZyyJmNHnElPxMeytY8x4kJIf1oPoQzUlKkz3gzMXTBjLXqEGdvSx3GOyy-OeXGzxGEqufvpyXw3JkkZ9bKaF-TU7mewu45un85zdfr76fvm1vvn25fry003tRNOVWiiHk7RT1w7SciXasemd66Hr9Shsq4bRutZOGjhwLXvOoVNOTY2QrZDaSnHOPhzrLin-WDEXM_vscLezAeOaTdO3QktQLSf0_T_oQ1xToOlMozmNQ3n0RDVHyqWYc8LJLIl-ND0aDmafoDkmaChBc0jQKDK9eyq9DjOOz5Y_kREgjkCmp7DF9Lf3f8r-BtGvqkE</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Ohira, Shingo</creator><creator>Suzuki, Yuta</creator><creator>Washio, Hayate</creator><creator>Yamamoto, Yuki</creator><creator>Tateishi, Soichiro</creator><creator>Inui, Shoki</creator><creator>Kanayama, Naoyuki</creator><creator>Kawamata, Minoru</creator><creator>Miyazaki, Masayoshi</creator><creator>Nishio, Teiji</creator><creator>Koizumi, Masahiko</creator><creator>Nakanishi, Katsuyuki</creator><creator>Konishi, Koji</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6170-1471</orcidid></search><sort><creationdate>2024</creationdate><title>Impact of magnetic resonance imaging-related geometric distortion of dose distribution in fractionated stereotactic radiotherapy in patients with brain metastases</title><author>Ohira, Shingo ; Suzuki, Yuta ; Washio, Hayate ; Yamamoto, Yuki ; Tateishi, Soichiro ; Inui, Shoki ; Kanayama, Naoyuki ; Kawamata, Minoru ; Miyazaki, Masayoshi ; Nishio, Teiji ; Koizumi, Masahiko ; Nakanishi, Katsuyuki ; Konishi, Koji</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-37cef4af65b4a1735d28cc80689d3a57bdac5af9010194811067c7f2345349a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Brain</topic><topic>Brain cancer</topic><topic>Brain Neoplasms - diagnostic imaging</topic><topic>Brain Neoplasms - radiotherapy</topic><topic>Brain Neoplasms - secondary</topic><topic>Distortion</topic><topic>Humans</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Mathematical analysis</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metastasis</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Radiation therapy</topic><topic>Radiosurgery - methods</topic><topic>Radiotherapy</topic><topic>Radiotherapy Dosage</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ohira, Shingo</creatorcontrib><creatorcontrib>Suzuki, Yuta</creatorcontrib><creatorcontrib>Washio, Hayate</creatorcontrib><creatorcontrib>Yamamoto, Yuki</creatorcontrib><creatorcontrib>Tateishi, Soichiro</creatorcontrib><creatorcontrib>Inui, Shoki</creatorcontrib><creatorcontrib>Kanayama, Naoyuki</creatorcontrib><creatorcontrib>Kawamata, Minoru</creatorcontrib><creatorcontrib>Miyazaki, Masayoshi</creatorcontrib><creatorcontrib>Nishio, Teiji</creatorcontrib><creatorcontrib>Koizumi, Masahiko</creatorcontrib><creatorcontrib>Nakanishi, Katsuyuki</creatorcontrib><creatorcontrib>Konishi, Koji</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Strahlentherapie und Onkologie</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ohira, Shingo</au><au>Suzuki, Yuta</au><au>Washio, Hayate</au><au>Yamamoto, Yuki</au><au>Tateishi, Soichiro</au><au>Inui, Shoki</au><au>Kanayama, Naoyuki</au><au>Kawamata, Minoru</au><au>Miyazaki, Masayoshi</au><au>Nishio, Teiji</au><au>Koizumi, Masahiko</au><au>Nakanishi, Katsuyuki</au><au>Konishi, Koji</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of magnetic resonance imaging-related geometric distortion of dose distribution in fractionated stereotactic radiotherapy in patients with brain metastases</atitle><jtitle>Strahlentherapie und Onkologie</jtitle><stitle>Strahlenther Onkol</stitle><addtitle>Strahlenther Onkol</addtitle><date>2024</date><risdate>2024</risdate><volume>200</volume><issue>1</issue><spage>39</spage><epage>48</epage><pages>39-48</pages><issn>0179-7158</issn><eissn>1439-099X</eissn><abstract>Purpose
The geometric distortion related to magnetic resonance (MR) imaging in a diagnostic radiology (MR
DR
) and radiotherapy (MR
RT
) setup is evaluated, and the dosimetric impact of MR distortion on fractionated stereotactic radiotherapy (FSRT) in patients with brain metastases is simulated.
Materials and methods
An anthropomorphic skull phantom was scanned using a 1.5‑T MR scanner, and the magnitude of MR distortion was calculated with (MR
DR
-DC and MR
RT
-DC) and without (MR
DR
-nDC and MR
RT
-nDC) distortion-correction algorithms. Automated noncoplanar volumetric modulated arc therapy (HyperArc, HA; Varian Medical Systems, Palo Alto, CA, USA) plans were generated for 53 patients with 186 brain metastases. The MR distortion at each gross tumor volume (GTV) was calculated using the distance between the center of the GTV and the MR image isocenter (MIC) and the quadratic regression curve derived from the phantom study (MR
RT
-DC and MR
RT
-nDC). Subsequently, the radiation isocenter of the HA plans was shifted according to the MR distortion at each GTV (HA
DC
and HA
nDC
).
Results
The median MR distortions were approximately 0.1 mm when the distance from the MIC was < 30 mm, whereas the median distortion varied widely when the distance was > 60 mm (0.23, 0.47, 0.37, and 0.57 mm in MR
DR
-DC, MR
DR
-nDC, MR
RT
-DC, and MR
RT
-nDC, respectively). The dose to the 98% of the GTV volume (D
98%
) decreased as the distance from the MIC increased. In the HA
DC
plans, the relative dose difference of D
98%
was less than 5% when the GTV was located within 70 mm from the MIC, whereas the underdose of GTV exceeded 5% when it was 48 mm (−26.5% at maximum) away from the MIC in the HA
nDC
plans.
Conclusion
Use of a distortion-correction algorithm in the studied MR diagnoses is essential, and the dosimetric impact of MR distortion is not negligible, particularly for tumors located far away from the MIC.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37591978</pmid><doi>10.1007/s00066-023-02120-7</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-6170-1471</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0179-7158 |
ispartof | Strahlentherapie und Onkologie, 2024, Vol.200 (1), p.39-48 |
issn | 0179-7158 1439-099X |
language | eng |
recordid | cdi_proquest_miscellaneous_2853940751 |
source | MEDLINE; Springer Nature - Complete Springer Journals |
subjects | Algorithms Brain Brain cancer Brain Neoplasms - diagnostic imaging Brain Neoplasms - radiotherapy Brain Neoplasms - secondary Distortion Humans Magnetic resonance imaging Magnetic Resonance Imaging - methods Mathematical analysis Medical imaging Medicine Medicine & Public Health Metastasis Oncology Original Article Radiation therapy Radiosurgery - methods Radiotherapy Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - methods Tumors |
title | Impact of magnetic resonance imaging-related geometric distortion of dose distribution in fractionated stereotactic radiotherapy in patients with brain metastases |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T16%3A03%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Impact%20of%20magnetic%20resonance%20imaging-related%20geometric%20distortion%20of%20dose%20distribution%20in%20fractionated%20stereotactic%20radiotherapy%20in%20patients%20with%20brain%20metastases&rft.jtitle=Strahlentherapie%20und%20Onkologie&rft.au=Ohira,%20Shingo&rft.date=2024&rft.volume=200&rft.issue=1&rft.spage=39&rft.epage=48&rft.pages=39-48&rft.issn=0179-7158&rft.eissn=1439-099X&rft_id=info:doi/10.1007/s00066-023-02120-7&rft_dat=%3Cproquest_cross%3E2913260218%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2913260218&rft_id=info:pmid/37591978&rfr_iscdi=true |