Matches in SemOpenAlex for { <https://semopenalex.org/work/W2769298344> ?p ?o ?g. }
- W2769298344 endingPage "127" @default.
- W2769298344 startingPage "120" @default.
- W2769298344 abstract "BackgroundThe assessment of colorectal liver metastases (CRLM) after treatment with chemotherapy is challenging due to morphological and/or functional change without changes in size. The aim of this review was to assess the value of FDG-PET, FDG-PET-CT, CT and MRI in predicting response to chemotherapy in CRLM.MethodsA systematic review was undertaken based on PRISMA statement. PubMed and Embase were searched up to October 2016 for studies on the accuracy of PET, PET-CT, CT and MRI in predicting RECIST or metabolic response to chemotherapy and/or survival in patients with CRLM. Articles evaluating the assessment of response after chemotherapy were excluded.ResultsSixteen studies met the inclusion criteria and were included for further analysis. Study results were available for 6 studies for FDG-PET(-CT), 6 studies for CT and 9 studies for MRI. Generally, features predicting RECIST or metabolic response often predicted shorter survival. The ADC (apparent diffusion coefficient, on MRI) seems to be the most promising predictor of response and survival. In CT-related studies, few attenuation-related parameters and texture features show promising results. In FDG-PET(-CT), findings were ambiguous.ConclusionRadiological data on the prediction of response to chemotherapy for CRLM is relatively sparse and heterogeneous. Despite that, a promising parameter might be ADC. Second, there seems to be a seemingly counterintuitive correlation between parameters that predict a good response and also predict poor survival." @default.
- W2769298344 created "2017-12-04" @default.
- W2769298344 creator A5003420702 @default.
- W2769298344 creator A5005226197 @default.
- W2769298344 creator A5028105973 @default.
- W2769298344 creator A5040025434 @default.
- W2769298344 creator A5051092649 @default.
- W2769298344 creator A5057020836 @default.
- W2769298344 creator A5083240185 @default.
- W2769298344 creator A5085740912 @default.
- W2769298344 creator A5087021592 @default.
- W2769298344 date "2018-02-01" @default.
- W2769298344 modified "2023-10-17" @default.
- W2769298344 title "Advanced imaging to predict response to chemotherapy in colorectal liver metastases – a systematic review" @default.
- W2769298344 cites W1500430701 @default.
- W2769298344 cites W1640361445 @default.
- W2769298344 cites W1763562290 @default.
- W2769298344 cites W1963955463 @default.
- W2769298344 cites W1964427480 @default.
- W2769298344 cites W1965459357 @default.
- W2769298344 cites W1976550982 @default.
- W2769298344 cites W1976635615 @default.
- W2769298344 cites W1982924782 @default.
- W2769298344 cites W1992919053 @default.
- W2769298344 cites W2012800796 @default.
- W2769298344 cites W2012949640 @default.
- W2769298344 cites W2016179748 @default.
- W2769298344 cites W2016901953 @default.
- W2769298344 cites W2019607817 @default.
- W2769298344 cites W2024560574 @default.
- W2769298344 cites W2025055102 @default.
- W2769298344 cites W2028680797 @default.
- W2769298344 cites W2029004749 @default.
- W2769298344 cites W2029122407 @default.
- W2769298344 cites W2031637013 @default.
- W2769298344 cites W2050867369 @default.
- W2769298344 cites W2050976496 @default.
- W2769298344 cites W2056409555 @default.
- W2769298344 cites W2059491264 @default.
- W2769298344 cites W2065187936 @default.
- W2769298344 cites W2069660570 @default.
- W2769298344 cites W2078646154 @default.
- W2769298344 cites W2086470868 @default.
- W2769298344 cites W2093225682 @default.
- W2769298344 cites W2101316350 @default.
- W2769298344 cites W2103789431 @default.
- W2769298344 cites W2106116223 @default.
- W2769298344 cites W2107638293 @default.
- W2769298344 cites W2108055754 @default.
- W2769298344 cites W2109509934 @default.
- W2769298344 cites W2109918790 @default.
- W2769298344 cites W2111952125 @default.
- W2769298344 cites W2117692326 @default.
- W2769298344 cites W2122356511 @default.
- W2769298344 cites W2125328123 @default.
- W2769298344 cites W2127049578 @default.
- W2769298344 cites W2128275141 @default.
- W2769298344 cites W2129113962 @default.
- W2769298344 cites W2132889938 @default.
- W2769298344 cites W2133892598 @default.
- W2769298344 cites W2139248078 @default.
- W2769298344 cites W2139826067 @default.
- W2769298344 cites W2151563346 @default.
- W2769298344 cites W2156098321 @default.
- W2769298344 cites W2157769714 @default.
- W2769298344 cites W2159339017 @default.
- W2769298344 cites W2160243490 @default.
- W2769298344 cites W2161998928 @default.
- W2769298344 cites W2170495279 @default.
- W2769298344 cites W2171229522 @default.
- W2769298344 cites W2171866630 @default.
- W2769298344 cites W2190239095 @default.
- W2769298344 cites W2215561907 @default.
- W2769298344 cites W2227602841 @default.
- W2769298344 cites W2280813311 @default.
- W2769298344 cites W2285834585 @default.
- W2769298344 cites W2340143544 @default.
- W2769298344 cites W2514999246 @default.
- W2769298344 cites W2519849932 @default.
- W2769298344 cites W2562337538 @default.
- W2769298344 cites W2991792334 @default.
- W2769298344 cites W833993449 @default.
- W2769298344 doi "https://doi.org/10.1016/j.hpb.2017.10.013" @default.
- W2769298344 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29196021" @default.
- W2769298344 hasPublicationYear "2018" @default.
- W2769298344 type Work @default.
- W2769298344 sameAs 2769298344 @default.
- W2769298344 citedByCount "30" @default.
- W2769298344 countsByYear W27692983442018 @default.
- W2769298344 countsByYear W27692983442019 @default.
- W2769298344 countsByYear W27692983442020 @default.
- W2769298344 countsByYear W27692983442021 @default.
- W2769298344 countsByYear W27692983442022 @default.
- W2769298344 countsByYear W27692983442023 @default.
- W2769298344 crossrefType "journal-article" @default.
- W2769298344 hasAuthorship W2769298344A5003420702 @default.
- W2769298344 hasAuthorship W2769298344A5005226197 @default.
- W2769298344 hasAuthorship W2769298344A5028105973 @default.