AB038. Establishing a reliable semi-automated segmentation method for assessing chemoradiotherapy effects on the non-tumoral brain

Current voxel-based morphometry (VBM) studies of chemoradiotherapy effects on healthy tissues of the glioblastoma multiforme (GBM) brain face a challenge with neuroanatomical distortions (tumor, tumor edema, and resection cavities) and limited comparisons can be drawn across studies due to lack of a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Chinese Clinical Oncology 2024-08, Vol.13 (Suppl 1), p.AB038-AB038
Hauptverfasser: Lim, Eu Jin, Har, Nicole Keong Chwee
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page AB038
container_issue Suppl 1
container_start_page AB038
container_title Chinese Clinical Oncology
container_volume 13
creator Lim, Eu Jin
Har, Nicole Keong Chwee
description Current voxel-based morphometry (VBM) studies of chemoradiotherapy effects on healthy tissues of the glioblastoma multiforme (GBM) brain face a challenge with neuroanatomical distortions (tumor, tumor edema, and resection cavities) and limited comparisons can be drawn across studies due to lack of a universally accepted software package. Our aim is to compare current semi-automated segmentation methods and optimize them for reliability in investigating the effects of chemoradiotherapy on GBM patients. A publicly available dataset was used based on predefined inclusion and exclusion criteria. VBM pipelines CAT12 and FSL were tested and optimized to reduce the impact of neuroanatomical distortions. T1-weighted images were screened, and post-processed with FSL and CAT12. Gray matter (GM) and white matter (WM), and cerebrospinal fluid (CSF) volumes of whole brain, tumour-containing and non-tumor containing hemispheres, pre- and post-chemoradiotherapy were calculated and analyzed with Wilcoxon signed-rank tests. Agreement and consistency between FSL and CAT12 were assessed using Bland-Altman plots and intraclass correlation coefficients (ICCs). Post-chemoradiotherapy GM volumes were significantly reduced in whole brain with a compensatory significant increase in CSF volumes, while WM volumes had no significant changes. Similar trends were noted in tumor-containing and non-tumor-containing hemispheres. Bland-Altman plots showed good agreement between FSL and CAT12 processed GM and WM volumes of whole brain, tumor-containing, and non-tumor-containing hemispheres. ICC ≥0.70 was observed in GM [0.70 (0.53-0.82)] and WM [0.75 (0.60-0.85)] volumes of non-tumor-containing hemisphere, and WM [0.71 (0.55-0.83)] volumes of whole brain. GM volumes of tumor-containing hemisphere had good agreement but surprisingly, poor consistency [0.50 (0.25-0.68)]. CSF volumes in non-tumor-containing hemisphere had better agreement and consistency [0.55 (0.32-0.71)] than whole brain [0.49 (0.25-0.67)] and tumor-containing hemisphere CSF [0.36 (0.10-0.58)] volumes. Visual inspection revealed both CAT12 and FSL mis-segmented in the presence of neuroanatomical distortion although CAT12 was more susceptible in the presence of a hematoma. VBM studies of chemoradiotherapy effects on the brain post-tumor resection remain challenging due to neuroanatomical distortions. A reliable alternative is to use non-tumor-containing hemispheres with no anatomical distortion. Should tumor-containing brains
doi_str_mv 10.21037/cco-24-ab038
format Article
fullrecord <record><control><sourceid>pubmed_cross</sourceid><recordid>TN_cdi_crossref_primary_10_21037_cco_24_ab038</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>39295356</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1338-cf82d7b5f6f59f53b188d26e7122cfbbf644f8e9632550c0c37ab5e9c33e44ff3</originalsourceid><addsrcrecordid>eNo9kD9PwzAQxS0EolXpyIr8BVwcO3aSsVTlj1SJBebIds6NpSSubHfoyifHtMB09-5-7056CN0XdMUKyqtHYzxhJVGa8voKzRmnJeF1xa__eylmaBmj07SoZFGJRt6iGW9YI7iQc_S1fsrWFd7GpPTgYu-mPVY4wOCyBhxhdEQdkx9Vgi7L_QhTUsn5CY-Qet9h6wNWMUJ-kr2mh9EH1TmfegjqcMJgLZgUcXbkEZ78RNLxhxmwDspNd-jGqiHC8rcu0Ofz9mPzSnbvL2-b9Y6YgvOaGFuzrtLCSisaK7gu6rpjEqqCMWO1trIsbQ2N5EwIaqjhldICGsM55I3lC0Qud03wMQaw7SG4UYVTW9D2HGeb42xZ2Z7jzPzDhT8c9QjdP_0XHv8G4zlz5Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>AB038. Establishing a reliable semi-automated segmentation method for assessing chemoradiotherapy effects on the non-tumoral brain</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Lim, Eu Jin ; Har, Nicole Keong Chwee</creator><creatorcontrib>Lim, Eu Jin ; Har, Nicole Keong Chwee</creatorcontrib><description>Current voxel-based morphometry (VBM) studies of chemoradiotherapy effects on healthy tissues of the glioblastoma multiforme (GBM) brain face a challenge with neuroanatomical distortions (tumor, tumor edema, and resection cavities) and limited comparisons can be drawn across studies due to lack of a universally accepted software package. Our aim is to compare current semi-automated segmentation methods and optimize them for reliability in investigating the effects of chemoradiotherapy on GBM patients. A publicly available dataset was used based on predefined inclusion and exclusion criteria. VBM pipelines CAT12 and FSL were tested and optimized to reduce the impact of neuroanatomical distortions. T1-weighted images were screened, and post-processed with FSL and CAT12. Gray matter (GM) and white matter (WM), and cerebrospinal fluid (CSF) volumes of whole brain, tumour-containing and non-tumor containing hemispheres, pre- and post-chemoradiotherapy were calculated and analyzed with Wilcoxon signed-rank tests. Agreement and consistency between FSL and CAT12 were assessed using Bland-Altman plots and intraclass correlation coefficients (ICCs). Post-chemoradiotherapy GM volumes were significantly reduced in whole brain with a compensatory significant increase in CSF volumes, while WM volumes had no significant changes. Similar trends were noted in tumor-containing and non-tumor-containing hemispheres. Bland-Altman plots showed good agreement between FSL and CAT12 processed GM and WM volumes of whole brain, tumor-containing, and non-tumor-containing hemispheres. ICC ≥0.70 was observed in GM [0.70 (0.53-0.82)] and WM [0.75 (0.60-0.85)] volumes of non-tumor-containing hemisphere, and WM [0.71 (0.55-0.83)] volumes of whole brain. GM volumes of tumor-containing hemisphere had good agreement but surprisingly, poor consistency [0.50 (0.25-0.68)]. CSF volumes in non-tumor-containing hemisphere had better agreement and consistency [0.55 (0.32-0.71)] than whole brain [0.49 (0.25-0.67)] and tumor-containing hemisphere CSF [0.36 (0.10-0.58)] volumes. Visual inspection revealed both CAT12 and FSL mis-segmented in the presence of neuroanatomical distortion although CAT12 was more susceptible in the presence of a hematoma. VBM studies of chemoradiotherapy effects on the brain post-tumor resection remain challenging due to neuroanatomical distortions. A reliable alternative is to use non-tumor-containing hemispheres with no anatomical distortion. Should tumor-containing brains be used, FSL is a more suitable choice, especially in the presence of hematoma distortion.</description><identifier>ISSN: 2304-3865</identifier><identifier>EISSN: 2304-3873</identifier><identifier>DOI: 10.21037/cco-24-ab038</identifier><identifier>PMID: 39295356</identifier><language>eng</language><publisher>China</publisher><subject>Brain - diagnostic imaging ; Brain - pathology ; Brain Neoplasms - therapy ; Chemoradiotherapy - methods ; Female ; Humans ; Male ; Middle Aged</subject><ispartof>Chinese Clinical Oncology, 2024-08, Vol.13 (Suppl 1), p.AB038-AB038</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39295356$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lim, Eu Jin</creatorcontrib><creatorcontrib>Har, Nicole Keong Chwee</creatorcontrib><title>AB038. Establishing a reliable semi-automated segmentation method for assessing chemoradiotherapy effects on the non-tumoral brain</title><title>Chinese Clinical Oncology</title><addtitle>Chin Clin Oncol</addtitle><description>Current voxel-based morphometry (VBM) studies of chemoradiotherapy effects on healthy tissues of the glioblastoma multiforme (GBM) brain face a challenge with neuroanatomical distortions (tumor, tumor edema, and resection cavities) and limited comparisons can be drawn across studies due to lack of a universally accepted software package. Our aim is to compare current semi-automated segmentation methods and optimize them for reliability in investigating the effects of chemoradiotherapy on GBM patients. A publicly available dataset was used based on predefined inclusion and exclusion criteria. VBM pipelines CAT12 and FSL were tested and optimized to reduce the impact of neuroanatomical distortions. T1-weighted images were screened, and post-processed with FSL and CAT12. Gray matter (GM) and white matter (WM), and cerebrospinal fluid (CSF) volumes of whole brain, tumour-containing and non-tumor containing hemispheres, pre- and post-chemoradiotherapy were calculated and analyzed with Wilcoxon signed-rank tests. Agreement and consistency between FSL and CAT12 were assessed using Bland-Altman plots and intraclass correlation coefficients (ICCs). Post-chemoradiotherapy GM volumes were significantly reduced in whole brain with a compensatory significant increase in CSF volumes, while WM volumes had no significant changes. Similar trends were noted in tumor-containing and non-tumor-containing hemispheres. Bland-Altman plots showed good agreement between FSL and CAT12 processed GM and WM volumes of whole brain, tumor-containing, and non-tumor-containing hemispheres. ICC ≥0.70 was observed in GM [0.70 (0.53-0.82)] and WM [0.75 (0.60-0.85)] volumes of non-tumor-containing hemisphere, and WM [0.71 (0.55-0.83)] volumes of whole brain. GM volumes of tumor-containing hemisphere had good agreement but surprisingly, poor consistency [0.50 (0.25-0.68)]. CSF volumes in non-tumor-containing hemisphere had better agreement and consistency [0.55 (0.32-0.71)] than whole brain [0.49 (0.25-0.67)] and tumor-containing hemisphere CSF [0.36 (0.10-0.58)] volumes. Visual inspection revealed both CAT12 and FSL mis-segmented in the presence of neuroanatomical distortion although CAT12 was more susceptible in the presence of a hematoma. VBM studies of chemoradiotherapy effects on the brain post-tumor resection remain challenging due to neuroanatomical distortions. A reliable alternative is to use non-tumor-containing hemispheres with no anatomical distortion. Should tumor-containing brains be used, FSL is a more suitable choice, especially in the presence of hematoma distortion.</description><subject>Brain - diagnostic imaging</subject><subject>Brain - pathology</subject><subject>Brain Neoplasms - therapy</subject><subject>Chemoradiotherapy - methods</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><issn>2304-3865</issn><issn>2304-3873</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kD9PwzAQxS0EolXpyIr8BVwcO3aSsVTlj1SJBebIds6NpSSubHfoyifHtMB09-5-7056CN0XdMUKyqtHYzxhJVGa8voKzRmnJeF1xa__eylmaBmj07SoZFGJRt6iGW9YI7iQc_S1fsrWFd7GpPTgYu-mPVY4wOCyBhxhdEQdkx9Vgi7L_QhTUsn5CY-Qet9h6wNWMUJ-kr2mh9EH1TmfegjqcMJgLZgUcXbkEZ78RNLxhxmwDspNd-jGqiHC8rcu0Ofz9mPzSnbvL2-b9Y6YgvOaGFuzrtLCSisaK7gu6rpjEqqCMWO1trIsbQ2N5EwIaqjhldICGsM55I3lC0Qud03wMQaw7SG4UYVTW9D2HGeb42xZ2Z7jzPzDhT8c9QjdP_0XHv8G4zlz5Q</recordid><startdate>202408</startdate><enddate>202408</enddate><creator>Lim, Eu Jin</creator><creator>Har, Nicole Keong Chwee</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202408</creationdate><title>AB038. Establishing a reliable semi-automated segmentation method for assessing chemoradiotherapy effects on the non-tumoral brain</title><author>Lim, Eu Jin ; Har, Nicole Keong Chwee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1338-cf82d7b5f6f59f53b188d26e7122cfbbf644f8e9632550c0c37ab5e9c33e44ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Brain - diagnostic imaging</topic><topic>Brain - pathology</topic><topic>Brain Neoplasms - therapy</topic><topic>Chemoradiotherapy - methods</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><toplevel>online_resources</toplevel><creatorcontrib>Lim, Eu Jin</creatorcontrib><creatorcontrib>Har, Nicole Keong Chwee</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Chinese Clinical Oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lim, Eu Jin</au><au>Har, Nicole Keong Chwee</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>AB038. Establishing a reliable semi-automated segmentation method for assessing chemoradiotherapy effects on the non-tumoral brain</atitle><jtitle>Chinese Clinical Oncology</jtitle><addtitle>Chin Clin Oncol</addtitle><date>2024-08</date><risdate>2024</risdate><volume>13</volume><issue>Suppl 1</issue><spage>AB038</spage><epage>AB038</epage><pages>AB038-AB038</pages><issn>2304-3865</issn><eissn>2304-3873</eissn><abstract>Current voxel-based morphometry (VBM) studies of chemoradiotherapy effects on healthy tissues of the glioblastoma multiforme (GBM) brain face a challenge with neuroanatomical distortions (tumor, tumor edema, and resection cavities) and limited comparisons can be drawn across studies due to lack of a universally accepted software package. Our aim is to compare current semi-automated segmentation methods and optimize them for reliability in investigating the effects of chemoradiotherapy on GBM patients. A publicly available dataset was used based on predefined inclusion and exclusion criteria. VBM pipelines CAT12 and FSL were tested and optimized to reduce the impact of neuroanatomical distortions. T1-weighted images were screened, and post-processed with FSL and CAT12. Gray matter (GM) and white matter (WM), and cerebrospinal fluid (CSF) volumes of whole brain, tumour-containing and non-tumor containing hemispheres, pre- and post-chemoradiotherapy were calculated and analyzed with Wilcoxon signed-rank tests. Agreement and consistency between FSL and CAT12 were assessed using Bland-Altman plots and intraclass correlation coefficients (ICCs). Post-chemoradiotherapy GM volumes were significantly reduced in whole brain with a compensatory significant increase in CSF volumes, while WM volumes had no significant changes. Similar trends were noted in tumor-containing and non-tumor-containing hemispheres. Bland-Altman plots showed good agreement between FSL and CAT12 processed GM and WM volumes of whole brain, tumor-containing, and non-tumor-containing hemispheres. ICC ≥0.70 was observed in GM [0.70 (0.53-0.82)] and WM [0.75 (0.60-0.85)] volumes of non-tumor-containing hemisphere, and WM [0.71 (0.55-0.83)] volumes of whole brain. GM volumes of tumor-containing hemisphere had good agreement but surprisingly, poor consistency [0.50 (0.25-0.68)]. CSF volumes in non-tumor-containing hemisphere had better agreement and consistency [0.55 (0.32-0.71)] than whole brain [0.49 (0.25-0.67)] and tumor-containing hemisphere CSF [0.36 (0.10-0.58)] volumes. Visual inspection revealed both CAT12 and FSL mis-segmented in the presence of neuroanatomical distortion although CAT12 was more susceptible in the presence of a hematoma. VBM studies of chemoradiotherapy effects on the brain post-tumor resection remain challenging due to neuroanatomical distortions. A reliable alternative is to use non-tumor-containing hemispheres with no anatomical distortion. Should tumor-containing brains be used, FSL is a more suitable choice, especially in the presence of hematoma distortion.</abstract><cop>China</cop><pmid>39295356</pmid><doi>10.21037/cco-24-ab038</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2304-3865
ispartof Chinese Clinical Oncology, 2024-08, Vol.13 (Suppl 1), p.AB038-AB038
issn 2304-3865
2304-3873
language eng
recordid cdi_crossref_primary_10_21037_cco_24_ab038
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Brain - diagnostic imaging
Brain - pathology
Brain Neoplasms - therapy
Chemoradiotherapy - methods
Female
Humans
Male
Middle Aged
title AB038. Establishing a reliable semi-automated segmentation method for assessing chemoradiotherapy effects on the non-tumoral brain
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T01%3A09%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pubmed_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=AB038.%20Establishing%20a%20reliable%20semi-automated%20segmentation%20method%20for%20assessing%20chemoradiotherapy%20effects%20on%20the%20non-tumoral%20brain&rft.jtitle=Chinese%20Clinical%20Oncology&rft.au=Lim,%20Eu%20Jin&rft.date=2024-08&rft.volume=13&rft.issue=Suppl%201&rft.spage=AB038&rft.epage=AB038&rft.pages=AB038-AB038&rft.issn=2304-3865&rft.eissn=2304-3873&rft_id=info:doi/10.21037/cco-24-ab038&rft_dat=%3Cpubmed_cross%3E39295356%3C/pubmed_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/39295356&rfr_iscdi=true