Identifying proliferative hepatocellular carcinoma at pretreatment CT: implications for therapeutic outcomes after transarterial chemoembolization
Background Hepatocellular carcinomas (HCCs) can be divided into proliferative and nonproliferative types, which may have implications for outcomes after conventional transarterial chemoembolization (cTACE). Biopsy to identify proliferative HCC is not routinely performed before cTACE. Purpose To deve...
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| Hauptverfasser: | , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
August 29, 2023
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| In: |
Radiology
Year: 2023, Jahrgang: 308, Heft: 2, Pages: 1-12 |
| ISSN: | 1527-1315 |
| DOI: | 10.1148/radiol.230457 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1148/radiol.230457
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| Verfasserangaben: | Yan Bao, MD, Jun-Xiang Li, MD, Peng Zhou, MD, Yao Tong, MD, Li-Zhou Wang, MD, PhD, De-Hua Chang, MD, Wen-Wu Cai, MD, PhD, Lu Wen, MD, Jun Liu, MD, PhD, Yu-Dong Xiao, MD, PhD |
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| 245 | 1 | 0 | |a Identifying proliferative hepatocellular carcinoma at pretreatment CT |b implications for therapeutic outcomes after transarterial chemoembolization |c Yan Bao, MD, Jun-Xiang Li, MD, Peng Zhou, MD, Yao Tong, MD, Li-Zhou Wang, MD, PhD, De-Hua Chang, MD, Wen-Wu Cai, MD, PhD, Lu Wen, MD, Jun Liu, MD, PhD, Yu-Dong Xiao, MD, PhD |
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| 520 | |a Background Hepatocellular carcinomas (HCCs) can be divided into proliferative and nonproliferative types, which may have implications for outcomes after conventional transarterial chemoembolization (cTACE). Biopsy to identify proliferative HCC is not routinely performed before cTACE. Purpose To develop and validate a predictive model for identifying proliferative HCCs using CT imaging features and to compare therapeutic outcomes between predicted proliferative and nonproliferative HCCs after cTACE according to this model. Materials and Methods This retrospective multicenter study included adults with HCC who underwent liver resection or cTACE between August 2013 and December 2020. A CT-based predictive model for identifying proliferative HCCs was developed and externally validated in a cohort that underwent resection. Diagnostic performance was calculated for the model. Thereafter, patients in the cTACE cohort were stratified into groups with predicted proliferative or nonproliferative HCCs according to the model. The primary outcome was overall survival (OS), and the secondary outcomes were tumor response rate and progression-free survival (PFS). These were compared between the two groups with use of the χ2 test and the log-rank test. Results A total of 1194 patients (1021 men; mean age, 54 years ± 12 [SD]; median follow-up time, 29.1 months) were included. The predictive model, named the SMARS score, incorporated lobulated shape, mosaic architecture, α-fetoprotein levels, rim arterial phase hyperenhancement, and satellite lesions. The area under the receiver operating characteristic curve for the SMARS score was 0.83 for the training cohort and 0.80 for the validation cohort. According to the SMARS score, patients with predicted proliferative HCCs (n = 114) had lower tumor response rate (48% vs 71%; P < .001) and worse PFS (6.6 months vs 12.4 months; P < .001) and OS (14.4 months vs 38.7 months; P < .001) than those with nonproliferative HCCs (n = 263). Conclusion The predictive model demonstrated good performance for identifying proliferative HCCs. According to the SMARS score, patients with predicted proliferative HCCs have worse prognosis than those with predicted nonproliferative HCCs after cTACE. © RSNA, 2023 Supplemental material is available for this article. | ||
| 650 | 4 | |a Adult | |
| 650 | 4 | |a Carcinoma, Hepatocellular | |
| 650 | 4 | |a Chemoembolization, Therapeutic | |
| 650 | 4 | |a Humans | |
| 650 | 4 | |a Liver Neoplasms | |
| 650 | 4 | |a Male | |
| 650 | 4 | |a Middle Aged | |
| 650 | 4 | |a Progression-Free Survival | |
| 650 | 4 | |a Tomography, X-Ray Computed | |
| 700 | 1 | |a Li, Jun-Xiang |e VerfasserIn |4 aut | |
| 700 | 1 | |a Zhou, Peng |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tong, Yao |e VerfasserIn |4 aut | |
| 700 | 1 | |a Wang, Li-Zhou |e VerfasserIn |4 aut | |
| 700 | 1 | |a Chang, De-Hua |d 1978- |e VerfasserIn |0 (DE-588)132043939 |0 (DE-627)517295210 |0 (DE-576)298911752 |4 aut | |
| 700 | 1 | |a Cai, Wen-Wu |e VerfasserIn |4 aut | |
| 700 | 1 | |a Wen, Lu |e VerfasserIn |4 aut | |
| 700 | 1 | |a Liu, Jun |e VerfasserIn |4 aut | |
| 700 | 1 | |a Xiao, Yu-Dong |e VerfasserIn |4 aut | |
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