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Early evaluation of liver metastasis using spectral CT to predict outcome in patients with colorectal cancer treated with FOLFOXIRI and bevacizumab

Early evaluation of the efficacy of first-line chemotherapy combined with bevacizumab in patients with colorectal cancer liver metastasis (CRLM) remains challenging. This study used 2-month post-chemotherapy spectral computed tomography (CT) to predict the overall survival (OS) and response of CRLM...

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Published in:Cancer imaging 2023-03, Vol.23 (1), p.30-30, Article 30
Main Authors: Li, Shenglin, Yuan, Long, Yue, Mengying, Xu, Yuan, Liu, Suwei, Wang, Feng, Liu, Xiaoqin, Wang, Fengyan, Deng, Juan, Sun, Qiu, Liu, Xianwang, Xue, Caiqiang, Lu, Ting, Zhang, Wenjuan, Zhou, Junlin
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container_title Cancer imaging
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creator Li, Shenglin
Yuan, Long
Yue, Mengying
Xu, Yuan
Liu, Suwei
Wang, Feng
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Liu, Xianwang
Xue, Caiqiang
Lu, Ting
Zhang, Wenjuan
Zhou, Junlin
description Early evaluation of the efficacy of first-line chemotherapy combined with bevacizumab in patients with colorectal cancer liver metastasis (CRLM) remains challenging. This study used 2-month post-chemotherapy spectral computed tomography (CT) to predict the overall survival (OS) and response of CRLM patients with bevacizumab-containing therapy. This retrospective analysis was performed in 104 patients with pathologically confirmed CRLM between April 2017 and October 2021. Patients were treated with 5-fluorouracil, leucovorin, oxaliplatin or irinotecan with bevacizumab. Portal venous phase spectral CT was performed on the target liver lesion within 2 months of commencing chemotherapy to demonstrate the iodine concentration (IoD) of the target liver lesion. The patients were classified as responders (R +) or non-responders (R -) according to the Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 at 6 months. Multivariate analysis was performed to determine the relationships of the spectral CT parameters, tumor markers, morphology of target lesions with OS and response. The differences in portal venous phase spectral CT parameters between the R + and R - groups were analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the predictive power of spectral CT parameters. Of the 104 patients (mean age ± standard deviation: 57.73 years ± 12.56; 60 men) evaluated, 28 (26.9%) were classified as R + . Cox multivariate analysis identified the iodine concentration (hazard ratio [HR]: 1.238; 95% confidence interval [95% CI]: 1.089-1.408; P 
doi_str_mv 10.1186/s40644-023-00547-w
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This study used 2-month post-chemotherapy spectral computed tomography (CT) to predict the overall survival (OS) and response of CRLM patients with bevacizumab-containing therapy. This retrospective analysis was performed in 104 patients with pathologically confirmed CRLM between April 2017 and October 2021. Patients were treated with 5-fluorouracil, leucovorin, oxaliplatin or irinotecan with bevacizumab. Portal venous phase spectral CT was performed on the target liver lesion within 2 months of commencing chemotherapy to demonstrate the iodine concentration (IoD) of the target liver lesion. The patients were classified as responders (R +) or non-responders (R -) according to the Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 at 6 months. Multivariate analysis was performed to determine the relationships of the spectral CT parameters, tumor markers, morphology of target lesions with OS and response. The differences in portal venous phase spectral CT parameters between the R + and R - groups were analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the predictive power of spectral CT parameters. Of the 104 patients (mean age ± standard deviation: 57.73 years ± 12.56; 60 men) evaluated, 28 (26.9%) were classified as R + . Cox multivariate analysis identified the iodine concentration (hazard ratio [HR]: 1.238; 95% confidence interval [95% CI]: 1.089-1.408; P &lt; 0.001), baseline tumor longest diameter (BLD) (HR: 1.022; 95% CI: 1.005-1.038, P = 0.010), higher baseline CEA (HR: 1.670; 95% CI: 1.016-2.745, P = 0.043), K-RAS mutation (HR: 2.027; 95% CI: 1.192-3.449; P = 0.009), and metachronous liver metastasis (HR: 1.877; 95% CI: 1.179-2.988; P = 0.008) as independent risk factors for patient OS. Logistic multivariate analysis identified the IoD (Odds Ratio [OR]: 2.243; 95% CI: 1.405-4.098; P = 0.002) and clinical N stage of the primary tumor (OR: 4.998; 95% CI: 1.210-25.345; P = 0.035) as independent predictor of R + . Using IoD cutoff values of 4.75 (100ug/cm ) the area under the ROC curve was 0.916, sensitivity and specificity were 80.3% and 96.4%, respectively. Spectral CT IoD can predict the OS and response of patients with CRLM after 2 months of treatment with bevacizumab-containing therapy.</description><identifier>ISSN: 1470-7330</identifier><identifier>ISSN: 1740-5025</identifier><identifier>EISSN: 1470-7330</identifier><identifier>DOI: 10.1186/s40644-023-00547-w</identifier><identifier>PMID: 36964617</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Abdomen ; Analysis ; Antineoplastic Combined Chemotherapy Protocols - therapeutic use ; Bevacizumab ; Bevacizumab - therapeutic use ; Biomarkers ; Cancer ; Cancer therapies ; Chemotherapy ; Clinical medicine ; Colorectal cancer ; Colorectal Neoplasms - pathology ; Computed tomography ; CT imaging ; Efficacy evaluation ; Evaluation ; Fluorouracil ; FOLFOXIRI ; Growth factors ; Hospitals ; Humans ; Iodine ; Leucovorin ; Liver ; Liver metastasis ; Liver Neoplasms - diagnostic imaging ; Liver Neoplasms - drug therapy ; Liver Neoplasms - secondary ; Male ; Medical imaging ; Medical prognosis ; Medical research ; Medicine, Experimental ; Metastasis ; Morphology ; Multivariate analysis ; Neoplasm Metastasis - drug therapy ; Parameters ; Patient outcomes ; Patients ; Prognosis ; Retrospective Studies ; Risk factors ; Spectral CT ; Tomography ; Tomography, X-Ray Computed - methods ; Tumors</subject><ispartof>Cancer imaging, 2023-03, Vol.23 (1), p.30-30, Article 30</ispartof><rights>2023. The Author(s).</rights><rights>COPYRIGHT 2023 BioMed Central Ltd.</rights><rights>2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c595t-5a29180a054553fd633a53fc86cbc11156eff71080d9b96dba3b25d0fc44e2e63</citedby><cites>FETCH-LOGICAL-c595t-5a29180a054553fd633a53fc86cbc11156eff71080d9b96dba3b25d0fc44e2e63</cites><orcidid>0000-0001-8109-6347</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/PMC10039512/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2803055031?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36964617$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Shenglin</creatorcontrib><creatorcontrib>Yuan, Long</creatorcontrib><creatorcontrib>Yue, Mengying</creatorcontrib><creatorcontrib>Xu, Yuan</creatorcontrib><creatorcontrib>Liu, Suwei</creatorcontrib><creatorcontrib>Wang, Feng</creatorcontrib><creatorcontrib>Liu, Xiaoqin</creatorcontrib><creatorcontrib>Wang, Fengyan</creatorcontrib><creatorcontrib>Deng, Juan</creatorcontrib><creatorcontrib>Sun, Qiu</creatorcontrib><creatorcontrib>Liu, Xianwang</creatorcontrib><creatorcontrib>Xue, Caiqiang</creatorcontrib><creatorcontrib>Lu, Ting</creatorcontrib><creatorcontrib>Zhang, Wenjuan</creatorcontrib><creatorcontrib>Zhou, Junlin</creatorcontrib><title>Early evaluation of liver metastasis using spectral CT to predict outcome in patients with colorectal cancer treated with FOLFOXIRI and bevacizumab</title><title>Cancer imaging</title><addtitle>Cancer Imaging</addtitle><description>Early evaluation of the efficacy of first-line chemotherapy combined with bevacizumab in patients with colorectal cancer liver metastasis (CRLM) remains challenging. This study used 2-month post-chemotherapy spectral computed tomography (CT) to predict the overall survival (OS) and response of CRLM patients with bevacizumab-containing therapy. This retrospective analysis was performed in 104 patients with pathologically confirmed CRLM between April 2017 and October 2021. Patients were treated with 5-fluorouracil, leucovorin, oxaliplatin or irinotecan with bevacizumab. Portal venous phase spectral CT was performed on the target liver lesion within 2 months of commencing chemotherapy to demonstrate the iodine concentration (IoD) of the target liver lesion. The patients were classified as responders (R +) or non-responders (R -) according to the Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 at 6 months. Multivariate analysis was performed to determine the relationships of the spectral CT parameters, tumor markers, morphology of target lesions with OS and response. The differences in portal venous phase spectral CT parameters between the R + and R - groups were analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the predictive power of spectral CT parameters. Of the 104 patients (mean age ± standard deviation: 57.73 years ± 12.56; 60 men) evaluated, 28 (26.9%) were classified as R + . Cox multivariate analysis identified the iodine concentration (hazard ratio [HR]: 1.238; 95% confidence interval [95% CI]: 1.089-1.408; P &lt; 0.001), baseline tumor longest diameter (BLD) (HR: 1.022; 95% CI: 1.005-1.038, P = 0.010), higher baseline CEA (HR: 1.670; 95% CI: 1.016-2.745, P = 0.043), K-RAS mutation (HR: 2.027; 95% CI: 1.192-3.449; P = 0.009), and metachronous liver metastasis (HR: 1.877; 95% CI: 1.179-2.988; P = 0.008) as independent risk factors for patient OS. Logistic multivariate analysis identified the IoD (Odds Ratio [OR]: 2.243; 95% CI: 1.405-4.098; P = 0.002) and clinical N stage of the primary tumor (OR: 4.998; 95% CI: 1.210-25.345; P = 0.035) as independent predictor of R + . Using IoD cutoff values of 4.75 (100ug/cm ) the area under the ROC curve was 0.916, sensitivity and specificity were 80.3% and 96.4%, respectively. Spectral CT IoD can predict the OS and response of patients with CRLM after 2 months of treatment with bevacizumab-containing therapy.</description><subject>Abdomen</subject><subject>Analysis</subject><subject>Antineoplastic Combined Chemotherapy Protocols - therapeutic use</subject><subject>Bevacizumab</subject><subject>Bevacizumab - therapeutic use</subject><subject>Biomarkers</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Clinical medicine</subject><subject>Colorectal cancer</subject><subject>Colorectal Neoplasms - pathology</subject><subject>Computed tomography</subject><subject>CT imaging</subject><subject>Efficacy evaluation</subject><subject>Evaluation</subject><subject>Fluorouracil</subject><subject>FOLFOXIRI</subject><subject>Growth factors</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Iodine</subject><subject>Leucovorin</subject><subject>Liver</subject><subject>Liver metastasis</subject><subject>Liver Neoplasms - diagnostic imaging</subject><subject>Liver Neoplasms - drug therapy</subject><subject>Liver Neoplasms - secondary</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Metastasis</subject><subject>Morphology</subject><subject>Multivariate analysis</subject><subject>Neoplasm Metastasis - drug therapy</subject><subject>Parameters</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Retrospective Studies</subject><subject>Risk factors</subject><subject>Spectral CT</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Tumors</subject><issn>1470-7330</issn><issn>1740-5025</issn><issn>1470-7330</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkt1qFDEAhQdRbK2-gBcSEIo3U_OfyZWU0tWFhQWp4F3IJJndLDOTNclsqa_hC5vt1toVmYGE5JwvyeFU1VsELxBq-MdEIae0hpjUEDIq6ttn1SmiAtaCEPj8yfykepXSBkIsGyleVieES045EqfVr2sd-zvgdrqfdPZhBKEDvd-5CAaXdSq_T2BKflyBtHUmR92DqxuQA9hGZ73JIEzZhMEBP4JtQbgxJ3Dr8xqY0IdYLMVh9GgKMkens7OH7dlyMVt-n3-dAz1a0JYrGP9zGnT7unrR6T65Nw_jWfVtdn1z9aVeLD_Pry4XtWGS5ZppLFEDdXk6Y6SznBBdRtNw0xqEEOOu6wSCDbSyldy2mrSYWdgZSh12nJxV8wPXBr1R2-gHHe9U0F7dL4S4Ujpmb3qnqNVIUoYw54RSIVrHMDWWmAYLgkxTWJ8OrO3UDs6akkJJ6gh6vDP6tVqFnUIQElnAhfDhgRDDj8mlrAafjOt7PbowJYWFREQwRGmRvv9HuglTHEtWCjeQQMYgQX9VK11e4MculIPNHqouBcVSNFDuQ7j4j6p81g3ehNF1vqwfGc6fGNZO93mdQj_ty5OOhfggNDGkFF33mAaCal9gdSiwKgVW9wVWt8X07mmOj5Y_jSW_AQdW6zg</recordid><startdate>20230324</startdate><enddate>20230324</enddate><creator>Li, Shenglin</creator><creator>Yuan, Long</creator><creator>Yue, Mengying</creator><creator>Xu, Yuan</creator><creator>Liu, Suwei</creator><creator>Wang, Feng</creator><creator>Liu, Xiaoqin</creator><creator>Wang, Fengyan</creator><creator>Deng, Juan</creator><creator>Sun, Qiu</creator><creator>Liu, Xianwang</creator><creator>Xue, Caiqiang</creator><creator>Lu, Ting</creator><creator>Zhang, Wenjuan</creator><creator>Zhou, Junlin</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</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>AZQEC</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>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8109-6347</orcidid></search><sort><creationdate>20230324</creationdate><title>Early evaluation of liver metastasis using spectral CT to predict outcome in patients with colorectal cancer treated with FOLFOXIRI and bevacizumab</title><author>Li, Shenglin ; Yuan, Long ; Yue, Mengying ; Xu, Yuan ; Liu, Suwei ; Wang, Feng ; Liu, Xiaoqin ; Wang, Fengyan ; Deng, Juan ; Sun, Qiu ; Liu, Xianwang ; Xue, Caiqiang ; Lu, Ting ; Zhang, Wenjuan ; Zhou, Junlin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c595t-5a29180a054553fd633a53fc86cbc11156eff71080d9b96dba3b25d0fc44e2e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Abdomen</topic><topic>Analysis</topic><topic>Antineoplastic Combined Chemotherapy Protocols - therapeutic use</topic><topic>Bevacizumab</topic><topic>Bevacizumab - therapeutic use</topic><topic>Biomarkers</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Chemotherapy</topic><topic>Clinical medicine</topic><topic>Colorectal cancer</topic><topic>Colorectal Neoplasms - pathology</topic><topic>Computed tomography</topic><topic>CT imaging</topic><topic>Efficacy evaluation</topic><topic>Evaluation</topic><topic>Fluorouracil</topic><topic>FOLFOXIRI</topic><topic>Growth factors</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Iodine</topic><topic>Leucovorin</topic><topic>Liver</topic><topic>Liver metastasis</topic><topic>Liver Neoplasms - diagnostic imaging</topic><topic>Liver Neoplasms - drug therapy</topic><topic>Liver Neoplasms - secondary</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Metastasis</topic><topic>Morphology</topic><topic>Multivariate analysis</topic><topic>Neoplasm Metastasis - drug therapy</topic><topic>Parameters</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Retrospective Studies</topic><topic>Risk factors</topic><topic>Spectral CT</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Shenglin</creatorcontrib><creatorcontrib>Yuan, Long</creatorcontrib><creatorcontrib>Yue, Mengying</creatorcontrib><creatorcontrib>Xu, Yuan</creatorcontrib><creatorcontrib>Liu, Suwei</creatorcontrib><creatorcontrib>Wang, Feng</creatorcontrib><creatorcontrib>Liu, Xiaoqin</creatorcontrib><creatorcontrib>Wang, Fengyan</creatorcontrib><creatorcontrib>Deng, Juan</creatorcontrib><creatorcontrib>Sun, Qiu</creatorcontrib><creatorcontrib>Liu, Xianwang</creatorcontrib><creatorcontrib>Xue, Caiqiang</creatorcontrib><creatorcontrib>Lu, Ting</creatorcontrib><creatorcontrib>Zhang, Wenjuan</creatorcontrib><creatorcontrib>Zhou, Junlin</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>Health &amp; 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This study used 2-month post-chemotherapy spectral computed tomography (CT) to predict the overall survival (OS) and response of CRLM patients with bevacizumab-containing therapy. This retrospective analysis was performed in 104 patients with pathologically confirmed CRLM between April 2017 and October 2021. Patients were treated with 5-fluorouracil, leucovorin, oxaliplatin or irinotecan with bevacizumab. Portal venous phase spectral CT was performed on the target liver lesion within 2 months of commencing chemotherapy to demonstrate the iodine concentration (IoD) of the target liver lesion. The patients were classified as responders (R +) or non-responders (R -) according to the Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 at 6 months. Multivariate analysis was performed to determine the relationships of the spectral CT parameters, tumor markers, morphology of target lesions with OS and response. The differences in portal venous phase spectral CT parameters between the R + and R - groups were analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the predictive power of spectral CT parameters. Of the 104 patients (mean age ± standard deviation: 57.73 years ± 12.56; 60 men) evaluated, 28 (26.9%) were classified as R + . Cox multivariate analysis identified the iodine concentration (hazard ratio [HR]: 1.238; 95% confidence interval [95% CI]: 1.089-1.408; P &lt; 0.001), baseline tumor longest diameter (BLD) (HR: 1.022; 95% CI: 1.005-1.038, P = 0.010), higher baseline CEA (HR: 1.670; 95% CI: 1.016-2.745, P = 0.043), K-RAS mutation (HR: 2.027; 95% CI: 1.192-3.449; P = 0.009), and metachronous liver metastasis (HR: 1.877; 95% CI: 1.179-2.988; P = 0.008) as independent risk factors for patient OS. Logistic multivariate analysis identified the IoD (Odds Ratio [OR]: 2.243; 95% CI: 1.405-4.098; P = 0.002) and clinical N stage of the primary tumor (OR: 4.998; 95% CI: 1.210-25.345; P = 0.035) as independent predictor of R + . Using IoD cutoff values of 4.75 (100ug/cm ) the area under the ROC curve was 0.916, sensitivity and specificity were 80.3% and 96.4%, respectively. Spectral CT IoD can predict the OS and response of patients with CRLM after 2 months of treatment with bevacizumab-containing therapy.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>36964617</pmid><doi>10.1186/s40644-023-00547-w</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-8109-6347</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1470-7330
ispartof Cancer imaging, 2023-03, Vol.23 (1), p.30-30, Article 30
issn 1470-7330
1740-5025
1470-7330
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_4da1945126634477be524cd3c82731c8
source Publicly Available Content Database; PubMed Central
subjects Abdomen
Analysis
Antineoplastic Combined Chemotherapy Protocols - therapeutic use
Bevacizumab
Bevacizumab - therapeutic use
Biomarkers
Cancer
Cancer therapies
Chemotherapy
Clinical medicine
Colorectal cancer
Colorectal Neoplasms - pathology
Computed tomography
CT imaging
Efficacy evaluation
Evaluation
Fluorouracil
FOLFOXIRI
Growth factors
Hospitals
Humans
Iodine
Leucovorin
Liver
Liver metastasis
Liver Neoplasms - diagnostic imaging
Liver Neoplasms - drug therapy
Liver Neoplasms - secondary
Male
Medical imaging
Medical prognosis
Medical research
Medicine, Experimental
Metastasis
Morphology
Multivariate analysis
Neoplasm Metastasis - drug therapy
Parameters
Patient outcomes
Patients
Prognosis
Retrospective Studies
Risk factors
Spectral CT
Tomography
Tomography, X-Ray Computed - methods
Tumors
title Early evaluation of liver metastasis using spectral CT to predict outcome in patients with colorectal cancer treated with FOLFOXIRI and bevacizumab
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