Post-TACE changes in ADC histogram predict overall and transplant-free survival in patients with well-defined HCC: a retrospective cohort with up to 10 years follow-up

Objectives To evaluate the role of change in apparent diffusion coefficient (ADC) histogram after the first transarterial chemoembolization (TACE) in predicting overall and transplant-free survival in well-circumscribed hepatocellular carcinoma (HCC). Methods Institution database was searched for HC...

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Veröffentlicht in:European radiology 2021-03, Vol.31 (3), p.1378-1390
Hauptverfasser: Shaghaghi, Mohammadreza, Aliyari Ghasabeh, Mounes, Ameli, Sanaz, Ghadimi, Maryam, Hazhirkarzar, Bita, Rezvani Habibabadi, Roya, Khoshpouri, Pegah, Pandey, Ankur, Pandey, Pallavi, Kamel, Ihab R.
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container_title European radiology
container_volume 31
creator Shaghaghi, Mohammadreza
Aliyari Ghasabeh, Mounes
Ameli, Sanaz
Ghadimi, Maryam
Hazhirkarzar, Bita
Rezvani Habibabadi, Roya
Khoshpouri, Pegah
Pandey, Ankur
Pandey, Pallavi
Kamel, Ihab R.
description Objectives To evaluate the role of change in apparent diffusion coefficient (ADC) histogram after the first transarterial chemoembolization (TACE) in predicting overall and transplant-free survival in well-circumscribed hepatocellular carcinoma (HCC). Methods Institution database was searched for HCC patients who got conventional TACE during 2005–2016. One hundred four patients with well-circumscribed HCC and complete pre- and post-TACE liver MRI were included. Volumetric MRI metrics including tumor volume, mean ADC, skewness, and kurtosis of ADC histograms were measured. Univariate and multivariable Cox models were used to test the independent role of change in imaging parameters to predict survival. P values 
doi_str_mv 10.1007/s00330-020-07237-2
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Methods Institution database was searched for HCC patients who got conventional TACE during 2005–2016. One hundred four patients with well-circumscribed HCC and complete pre- and post-TACE liver MRI were included. Volumetric MRI metrics including tumor volume, mean ADC, skewness, and kurtosis of ADC histograms were measured. Univariate and multivariable Cox models were used to test the independent role of change in imaging parameters to predict survival. P values < 0.05 were considered significant. Results In total, 367 person-years follow-up data were analyzed. After adjusting for baseline liver function, tumor volume, and treatment modality, incremental percent change in ADC (ΔADC) was an independent predictor of longer overall and transplant-free survival ( p  = 0.009). Overall, a decrease in ADC-kurtosis (ΔkADC) showed a strong role in predicting longer survival ( p  = 0.021). Patients in the responder group (ΔADC ≥ 35%) had the best survival profile, compared with non-responders (ΔADC < 35%) ( p  < 0.001). ΔkADC, as an indicator of change in tissue homogeneity, could distinguish between poor and fair survival in non-responders ( p  < 0.001). It was not a measure of difference among responders ( p  = 0.244). Non-responders with ΔkADC ≥ 1 (homogeneous post-TACE tumor) had the worst survival outcome (HR = 5.70, p  < 0.001), and non-responders with ΔkADC < 1 had a fair survival outcome (HR = 2.51, p  = 0.029), compared with responders. Conclusions Changes in mean ADC and ADC kurtosis, as a measure of change in tissue heterogeneity, can be used to predict overall and transplant-free survival in well-circumscribed HCC, in order to monitor early response to TACE and identify patients with treatment failure and poor survival outcome. Key Points • Changes in the mean and kurtosis of ADC histograms, as the measures of change in tissue heterogeneity, can be used to predict overall and transplant-free survival in patients with well-defined HCC. • A ≥ 35% increase in volumetric ADC after TACE is an independent predictor of good survival, regardless of the change in ADC histogram kurtosis. • In patients with < 35% ADC change, a decrease in ADC histogram kurtosis indicates partial response and fair survival, while ∆kurtosis ≥ 1 correlates with the worst survival outcome.]]></description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-020-07237-2</identifier><identifier>PMID: 32894356</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Brownian motion ; Carcinoma, Hepatocellular - diagnostic imaging ; Carcinoma, Hepatocellular - therapy ; Chemoembolization ; Chemoembolization, Therapeutic ; Diagnostic Radiology ; Diffusion coefficient ; Diffusion Magnetic Resonance Imaging ; Follow-Up Studies ; Hepatocellular carcinoma ; Heterogeneity ; Histograms ; Homogeneity ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Kurtosis ; Liver ; Liver cancer ; Liver Neoplasms - diagnostic imaging ; Liver Neoplasms - therapy ; Magnetic Resonance ; Magnetic resonance imaging ; Medical prognosis ; Medicine ; Medicine &amp; Public Health ; Neuroradiology ; Patients ; Radiology ; Retrospective Studies ; Survival ; Survival analysis ; Tissues ; Transplants &amp; implants ; Treatment Outcome ; Tumors ; Ultrasound</subject><ispartof>European radiology, 2021-03, Vol.31 (3), p.1378-1390</ispartof><rights>European Society of Radiology 2020</rights><rights>European Society of Radiology 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-e4e711efbb237e64b13e27a7c348aa9e1a8707cdb691b95dacd887bc1059300c3</citedby><cites>FETCH-LOGICAL-c375t-e4e711efbb237e64b13e27a7c348aa9e1a8707cdb691b95dacd887bc1059300c3</cites><orcidid>0000-0003-0511-7796</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/s00330-020-07237-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-020-07237-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32894356$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shaghaghi, Mohammadreza</creatorcontrib><creatorcontrib>Aliyari Ghasabeh, Mounes</creatorcontrib><creatorcontrib>Ameli, Sanaz</creatorcontrib><creatorcontrib>Ghadimi, Maryam</creatorcontrib><creatorcontrib>Hazhirkarzar, Bita</creatorcontrib><creatorcontrib>Rezvani Habibabadi, Roya</creatorcontrib><creatorcontrib>Khoshpouri, Pegah</creatorcontrib><creatorcontrib>Pandey, Ankur</creatorcontrib><creatorcontrib>Pandey, Pallavi</creatorcontrib><creatorcontrib>Kamel, Ihab R.</creatorcontrib><title>Post-TACE changes in ADC histogram predict overall and transplant-free survival in patients with well-defined HCC: a retrospective cohort with up to 10 years follow-up</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description><![CDATA[Objectives To evaluate the role of change in apparent diffusion coefficient (ADC) histogram after the first transarterial chemoembolization (TACE) in predicting overall and transplant-free survival in well-circumscribed hepatocellular carcinoma (HCC). Methods Institution database was searched for HCC patients who got conventional TACE during 2005–2016. One hundred four patients with well-circumscribed HCC and complete pre- and post-TACE liver MRI were included. Volumetric MRI metrics including tumor volume, mean ADC, skewness, and kurtosis of ADC histograms were measured. Univariate and multivariable Cox models were used to test the independent role of change in imaging parameters to predict survival. P values < 0.05 were considered significant. Results In total, 367 person-years follow-up data were analyzed. After adjusting for baseline liver function, tumor volume, and treatment modality, incremental percent change in ADC (ΔADC) was an independent predictor of longer overall and transplant-free survival ( p  = 0.009). Overall, a decrease in ADC-kurtosis (ΔkADC) showed a strong role in predicting longer survival ( p  = 0.021). Patients in the responder group (ΔADC ≥ 35%) had the best survival profile, compared with non-responders (ΔADC < 35%) ( p  < 0.001). ΔkADC, as an indicator of change in tissue homogeneity, could distinguish between poor and fair survival in non-responders ( p  < 0.001). It was not a measure of difference among responders ( p  = 0.244). Non-responders with ΔkADC ≥ 1 (homogeneous post-TACE tumor) had the worst survival outcome (HR = 5.70, p  < 0.001), and non-responders with ΔkADC < 1 had a fair survival outcome (HR = 2.51, p  = 0.029), compared with responders. Conclusions Changes in mean ADC and ADC kurtosis, as a measure of change in tissue heterogeneity, can be used to predict overall and transplant-free survival in well-circumscribed HCC, in order to monitor early response to TACE and identify patients with treatment failure and poor survival outcome. Key Points • Changes in the mean and kurtosis of ADC histograms, as the measures of change in tissue heterogeneity, can be used to predict overall and transplant-free survival in patients with well-defined HCC. • A ≥ 35% increase in volumetric ADC after TACE is an independent predictor of good survival, regardless of the change in ADC histogram kurtosis. • In patients with < 35% ADC change, a decrease in ADC histogram kurtosis indicates partial response and fair survival, while ∆kurtosis ≥ 1 correlates with the worst survival outcome.]]></description><subject>Brownian motion</subject><subject>Carcinoma, Hepatocellular - diagnostic imaging</subject><subject>Carcinoma, Hepatocellular - therapy</subject><subject>Chemoembolization</subject><subject>Chemoembolization, Therapeutic</subject><subject>Diagnostic Radiology</subject><subject>Diffusion coefficient</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Follow-Up Studies</subject><subject>Hepatocellular carcinoma</subject><subject>Heterogeneity</subject><subject>Histograms</subject><subject>Homogeneity</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Kurtosis</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Liver Neoplasms - diagnostic imaging</subject><subject>Liver Neoplasms - therapy</subject><subject>Magnetic Resonance</subject><subject>Magnetic resonance imaging</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Neuroradiology</subject><subject>Patients</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Survival</subject><subject>Survival analysis</subject><subject>Tissues</subject><subject>Transplants &amp; implants</subject><subject>Treatment Outcome</subject><subject>Tumors</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kcFu1DAQhi0EokvhBTggS1y4GMaxEyfcVqFQpEpwKGfLcSZdV9k42M6u-jYceY4-WV1SQOLAwfLB3_yemY-QlxzecgD1LgIIAQyKfFQhFCsekQ2XomAcavmYbKARNVNNI0_IsxivAaDhUj0lJ6KoGynKakN-fvUxsctte0btzkxXGKmb6PZDS3cuJn8VzJ7OAXtnE_UHDGYcqZl6moKZ4jyaKbEhINK4hIM7mPG-ejbJ4ZQiPbq0o0ccR9bj4Cbs6XnbvqeGBkzBxxltcgek1u98SCu9zDR5yuH2xw2aEOngx9Ef2TI_J08GM0Z88XCfkm8fzy7bc3bx5dPndnvBrFBlYihRcY5D1-WFYCU7LrBQRlkha2Ma5KZWoGzfVQ3vmrI3tq9r1VkOZSMArDglb9bcOfjvC8ak9y7aPIOZ0C9RF1JCVeXd8Yy-_ge99kuYcneZyqlKljVkqlgpm0eOAQc9B7c34UZz0Pce9epRZ4_6l0dd5KJXD9FLt8f-T8lvcRkQKxDzU9YW_v79n9g7qv6qrA</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Shaghaghi, Mohammadreza</creator><creator>Aliyari Ghasabeh, Mounes</creator><creator>Ameli, Sanaz</creator><creator>Ghadimi, Maryam</creator><creator>Hazhirkarzar, Bita</creator><creator>Rezvani Habibabadi, Roya</creator><creator>Khoshpouri, Pegah</creator><creator>Pandey, Ankur</creator><creator>Pandey, Pallavi</creator><creator>Kamel, Ihab R.</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>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0511-7796</orcidid></search><sort><creationdate>20210301</creationdate><title>Post-TACE changes in ADC histogram predict overall and transplant-free survival in patients with well-defined HCC: a retrospective cohort with up to 10 years follow-up</title><author>Shaghaghi, Mohammadreza ; Aliyari Ghasabeh, Mounes ; Ameli, Sanaz ; Ghadimi, Maryam ; Hazhirkarzar, Bita ; Rezvani Habibabadi, Roya ; Khoshpouri, Pegah ; Pandey, Ankur ; Pandey, Pallavi ; Kamel, Ihab R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-e4e711efbb237e64b13e27a7c348aa9e1a8707cdb691b95dacd887bc1059300c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Brownian motion</topic><topic>Carcinoma, Hepatocellular - diagnostic imaging</topic><topic>Carcinoma, Hepatocellular - therapy</topic><topic>Chemoembolization</topic><topic>Chemoembolization, Therapeutic</topic><topic>Diagnostic Radiology</topic><topic>Diffusion coefficient</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Follow-Up Studies</topic><topic>Hepatocellular carcinoma</topic><topic>Heterogeneity</topic><topic>Histograms</topic><topic>Homogeneity</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Kurtosis</topic><topic>Liver</topic><topic>Liver cancer</topic><topic>Liver Neoplasms - diagnostic imaging</topic><topic>Liver Neoplasms - therapy</topic><topic>Magnetic Resonance</topic><topic>Magnetic resonance imaging</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine &amp; 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Methods Institution database was searched for HCC patients who got conventional TACE during 2005–2016. One hundred four patients with well-circumscribed HCC and complete pre- and post-TACE liver MRI were included. Volumetric MRI metrics including tumor volume, mean ADC, skewness, and kurtosis of ADC histograms were measured. Univariate and multivariable Cox models were used to test the independent role of change in imaging parameters to predict survival. P values < 0.05 were considered significant. Results In total, 367 person-years follow-up data were analyzed. After adjusting for baseline liver function, tumor volume, and treatment modality, incremental percent change in ADC (ΔADC) was an independent predictor of longer overall and transplant-free survival ( p  = 0.009). Overall, a decrease in ADC-kurtosis (ΔkADC) showed a strong role in predicting longer survival ( p  = 0.021). Patients in the responder group (ΔADC ≥ 35%) had the best survival profile, compared with non-responders (ΔADC < 35%) ( p  < 0.001). ΔkADC, as an indicator of change in tissue homogeneity, could distinguish between poor and fair survival in non-responders ( p  < 0.001). It was not a measure of difference among responders ( p  = 0.244). Non-responders with ΔkADC ≥ 1 (homogeneous post-TACE tumor) had the worst survival outcome (HR = 5.70, p  < 0.001), and non-responders with ΔkADC < 1 had a fair survival outcome (HR = 2.51, p  = 0.029), compared with responders. Conclusions Changes in mean ADC and ADC kurtosis, as a measure of change in tissue heterogeneity, can be used to predict overall and transplant-free survival in well-circumscribed HCC, in order to monitor early response to TACE and identify patients with treatment failure and poor survival outcome. Key Points • Changes in the mean and kurtosis of ADC histograms, as the measures of change in tissue heterogeneity, can be used to predict overall and transplant-free survival in patients with well-defined HCC. • A ≥ 35% increase in volumetric ADC after TACE is an independent predictor of good survival, regardless of the change in ADC histogram kurtosis. • In patients with < 35% ADC change, a decrease in ADC histogram kurtosis indicates partial response and fair survival, while ∆kurtosis ≥ 1 correlates with the worst survival outcome.]]></abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32894356</pmid><doi>10.1007/s00330-020-07237-2</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-0511-7796</orcidid></addata></record>
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language eng
recordid cdi_proquest_miscellaneous_2440663561
source MEDLINE; SpringerLink Journals
subjects Brownian motion
Carcinoma, Hepatocellular - diagnostic imaging
Carcinoma, Hepatocellular - therapy
Chemoembolization
Chemoembolization, Therapeutic
Diagnostic Radiology
Diffusion coefficient
Diffusion Magnetic Resonance Imaging
Follow-Up Studies
Hepatocellular carcinoma
Heterogeneity
Histograms
Homogeneity
Humans
Imaging
Internal Medicine
Interventional Radiology
Kurtosis
Liver
Liver cancer
Liver Neoplasms - diagnostic imaging
Liver Neoplasms - therapy
Magnetic Resonance
Magnetic resonance imaging
Medical prognosis
Medicine
Medicine & Public Health
Neuroradiology
Patients
Radiology
Retrospective Studies
Survival
Survival analysis
Tissues
Transplants & implants
Treatment Outcome
Tumors
Ultrasound
title Post-TACE changes in ADC histogram predict overall and transplant-free survival in patients with well-defined HCC: a retrospective cohort with up to 10 years follow-up
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