Trial reportJournal of vascular and interventional radiology : JVIR2015
Baseline and Early MR Apparent Diffusion Coefficient Quantification as a Predictor of Response of Unresectable Hepatocellular Carcinoma to Doxorubicin Drug-Eluting Bead Chemoembolization.
Trial report in Journal of vascular and interventional radiology : JVIR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Apparent Diffusion Coefficient Can Predict Therapy Response of Hepatocellular Carcinoma to Transcatheter Arterial Chemoembolization.Digestive diseases (Basel, Switzerland) · 2022Pooled it
- Utility of diffusion weighted imaging with the quantitative apparent diffusion coefficient in diagnosing residual or recurrent hepatocellular carcinoma after transarterial chemoembolization: a meta-analysis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020Pooled it
- Efficacy and Safety of Drug-Eluting Beads Transarterial Chemoembolization by CalliSpheresOncology research · 2020Trial
- Efficacy and safety profile of drug-eluting beads transarterial chemoembolization by CalliSpheres® beads in Chinese hepatocellular carcinoma patients.BMC cancer · 2018Trial
- Apparent diffusion coefficient histogram parameters of the whole tumor based on whole-body magnetic resonance imaging can better characterize the tumor burden of multiple myeloma and predict survival prognosis.Quantitative imaging in medicine and surgery · 2026Article
- Diagnostic performance of diffusion-weighted imaging with quantitative apparent diffusion coefficient for detecting residual or recurrent hepatocellular carcinoma after TACE: a meta-analysis.Abdominal radiology (New York) · 2026Article
- Integrating baseline MR imaging biomarkers into BCLC and CLIP improves overall survival prediction of patients with hepatocellular carcinoma (HCC).European radiology · 2021Article
- Pretreatment Apparent Diffusion Coefficient as a Predictor of Response to Transcatheter Arterial Chemoembolization Immediately Combined with Radiofrequency Ablation for Treatment of Solitary Large Hepatocellular Carcinoma.Cancer management and research · 2020Article
- MRI assessment of hepatocellular carcinoma after locoregional therapy.Insights into imaging · 2019Review
- Baseline Apparent Diffusion Coefficient as a Predictor of Response to Liver-Directed Therapies in Hepatocellular Carcinoma.Journal of clinical medicine · 2018Article
- Drug-eluting bead transarterial chemoembolization is efficient and well-tolerated in treating elderly Chinese hepatocellular carcinoma patients.International journal of clinical and experimental pathology · 2018Article
- Diffusion magnetic resonance imaging: A molecular imaging tool caught between hope, hype and the real world of "personalized oncology".World journal of radiology · 2017Review
- Re: Baseline and Early MR Apparent Diffusion Coefficient Quantification as a Predictor of Response of Unresectable Hepatocellular Carcinoma to Doxorubicin Drug-Eluting Bead Chemoembolization.Journal of vascular and interventional radiology : JVIR · 2016Article
- The Role of Diffusion-Weighted Imaging (DWI) in Locoregional Therapy Outcome Prediction and Response Assessment for Hepatocellular Carcinoma (HCC): The New Era of Functional Imaging Biomarkers.Diagnostics (Basel, Switzerland) · 2015Review
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate baseline and early apparent diffusion coefficients (ADC) derived from diffusion-weighted imaging (DWI) as a predictor of objective response (OR) and survival in unresectable hepatocellular carcinoma (HCC) treated with doxorubicin drug-eluting bead (DEB) transcatheter arterial chemoembolization. MATERIALS AND
methodsIn a prospective study, 57 patients underwent DEB chemoembolization. Dynamic contrast-enhanced magnetic resonance imaging and DWI were performed at baseline and 1 and 3 months after DEB chemoembolization. OR was evaluated per modified Response Evaluation Criteria In Solid Tumors (mRECIST) and European Association for the Study of the Liver (EASL) guidelines. Baseline ADCs of tumors that showed OR at 1 and 3 months were compared with nonresponding tumor ADCs by two-sample t test and receiver operating characteristic curves. Additionally, ADC changes at 30 days were correlated with OR. Finally, Kaplan–Meier analysis was used to compare survival between patients with lesions demonstrating more restricted baseline diffusion and others.
resultsAt 1 month, 33 patients (60%) showed OR (21 complete responses and 12 partial responses). At baseline, tumors with OR at 1 month showed significantly more restricted diffusion (0.731 × 10(−3) mm2/s) compared with others (1.057 × 10(−3) mm2/s; P = .031). No difference between response rates at 1 and 3 months according to mRECIST and EASL was observed. For an area under the curve of 0.965, the sensitivity and specificity of predicting objective tumor response at 1 month using a baseline HCC ADC of 0.83 × 10(−3) mm2/s were 91% and 96%, respectively. In addition, patients with lesions with a baseline ADC < 0.83 × 10(−3) mm2/s showed prolonged survival compared with others (P < .001).
conclusionsIn unresectable HCC, a baseline ADC < 0.83 × 10(−3) mm2/s is a predictor of survival and treatment response at 1 and 3 months after DEB chemoembolization with high sensitivity and specificity.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.