Evidence map›Paper›PMID 28780679›Full record

ReviewAbdominal radiology (New York)2018

Locoregional therapies for hepatocellular carcinoma and the new LI-RADS treatment response algorithm.

Ania Kielar, Kathryn J Fowler, Sara Lewis, Vahid Yaghmai, Frank H Miller, Hooman Yarmohammadi, Charles Kim, Victoria Chernyak, Takeshi Yokoo, Jeffrey Meyer and 2 more

Abstract readReview
In one paragraph

Review in Abdominal radiology (New York), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Assessment of viable tumours by [European journal of nuclear medicine and molecular imaging · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ania KielarDepartment of Radiology, University of Ottawa, Ottawa, Canada.
Kathryn J FowlerDepartment of Radiology, Washington University, St. Louis, MO, USA.
Sara LewisDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Vahid YaghmaiDepartment of Radiology, Northwestern Memorial Hospital, Northwestern University-Feinberg School of Medicine, Chicago, IL, USA.
Frank H MillerDepartment of Radiology, Northwestern Memorial Hospital, Northwestern University-Feinberg School of Medicine, Chicago, IL, USA.
Hooman YarmohammadiDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Charles KimDepartment of Radiology, Duke University, Durham, NC, USA.
Victoria ChernyakDepartment of Radiology, Montefiore Medical Center, New York, NY, USA.
Takeshi YokooDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Jeffrey MeyerDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Isabel NewtonDepartment of Radiology, UC San Diego, San Diego, CA, USA.
Richard K DoDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. dok@mskcc.org.ORCID 0000-0002-6554-0310

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Radiologists play a central role in the assessment of patient response to locoregional therapies for hepatocellular carcinoma (HCC). The identification of viable tumor following treatment guides further management and potentially affects transplantation eligibility. Liver Imaging Reporting and Data Systems (LI-RADS) first introduced the concept of LR-treated in 2014, and a new treatment response algorithm is included in the 2017 update to assist radiologists in image interpretation of HCC after locoregional therapy. In addition to offering imaging criteria for viable and nonviable HCC, new concepts of nonevaluable tumors as well as tumors with equivocal viability are introduced. Existing guidelines provided by response evaluation criteria in solid tumors (RECIST) and modified RECIST address patient-level assessments and are routinely used in clinical trials but do not address the variable appearances following different locoregional therapies. The new LI-RADS treatment response algorithm addresses this gap and offers a comprehensive approach to assess treatment response for individual lesions after a variety of locoregional therapies, using either contrast-enhanced CT or MRI.

Indexed as

AlgorithmsResponse Evaluation Criteria in Solid TumorsCarcinoma, HepatocellularContrast MediaHumansLiver NeoplasmsMagnetic Resonance ImagingNeoplasm StagingPatient SelectionTomography, X-Ray ComputedContrast MediaHepatocellular carcinomaLI-RADSLocoregional therapyRECISTResponse

Identifiers

PMID28780679
PMCPMC5771991

What OpenQuestion holds

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Registered trials

None linked

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.