Evidence map›Paper›PMID 41046297›Full record

ArticleEuropean radiology2026

Predicting early progression to atezolizumab-bevacizumab in hepatocellular carcinoma: a clinical and imaging-based scoring system.

Jae Hyon Park, Myung Ji Goh, Dong Hyun Sinn, Jaeseung Shin, Hyungjin Rhee

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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.

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jae Hyon ParkDepartment of Radiology, Armed Forces Daejeon Hospital, Daejeon, Republic of Korea.
Myung Ji GohDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Dong Hyun SinnDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jaeseung ShinDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. dr.shinjs@gmail.com.
Hyungjin RheeDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. hjinrhee@yuhs.ac.ORCID http://orcid.org/0000-0001-7759-4458

Funding

Korea Health Technology R0026;D Project through the Korea Health Industry Development Institute RS-2024-00407544National Research Foundation of Korea RS-2023-00208307National Research Foundation of Korea RS-2025-00516874Technology Development Program Ministry of SMEs and Startups (MSS, Korea) RS-2025-02220265
6 · The paper itself

Abstract

objectivesTo develop a predictive model incorporating both clinical and imaging findings to predict early progression in patients with advanced hepatocellular carcinoma (HCC) undergoing atezolizumab plus bevacizumab (Atezo-Bev) therapy. MATERIALS AND

methodsA total of 140 consecutive patients with HCC who initiated Atezo-Bev therapy between January 2020 and May 2022 at two tertiary care centres were retrospectively enrolled. Early progression was defined as progressive disease in the first response evaluation conducted at 4 weeks and 12 weeks after treatment initiation using dynamic CT or MRI. Images were reviewed by two radiologists. Logistic regression analysis was performed to determine the early progression scores.

resultsThe first response evaluation of Atezo-Bev therapy was conducted at a median of 56 days (interquartile range, 42-64 days) after treatment initiation. Approximately 40% (56/140) of patients with HCC showed early progression. The early progression score was defined as follows: (age < 60 years; 1 point) + (serum alpha-fetoprotein level ≥ 300 ng/mL; 3 points) + (neutrophil-to-lymphocyte ratio ≥ 2.8; 1 point) + (infiltrative appearance; 2 points). At a score of 3 or higher, the early progression score showed sensitivity of 91.1% (95% confidence interval [CI]: 83.6-98.5%) and a specificity of 53.6% (95% CI: 42.9-64.2%). At a score of 6 or higher, the score demonstrated a sensitivity of 55.4% (95% CI: 42.3-68.4%) and a specificity of 91.7% (95% CI: 85.8-97.6%).

conclusionWe developed an early progression score that integrates clinical and imaging factors with high specificity to accurately predict early progression in patients with advanced HCC undergoing Atezo-Bev therapy. KEY POINTS: Question No validated imaging-based tool currently exists to predict early progression to Atezo-Bev therapy in advanced HCC. Findings Infiltrative tumour appearance, high AFP, high neutrophil-to-lymphocyte ratio, and younger age were significantly associated with early progression. Clinical relevance A composite early progression score integrating clinical and imaging features showed high diagnostic accuracy for predicting treatment failure.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBevacizumabCarcinoma, HepatocellularLiver NeoplasmsAgedDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPredictive Value of TestsRetrospective StudiesTomography, X-Ray ComputedAntibodies, Monoclonal, HumanizedatezolizumabBevacizumabAtezolizumabBevacizumabCarcinoma (hepatocellular)Diagnostic ImagingDisease progression

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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.