Evidence map›Paper›PMID 33755735›Full record

ArticleAbdominal radiology (New York)2021

LI-RADS treatment response algorithm after first-line DEB-TACE: reproducibility and prognostic value at initial post-treatment CT/MRI.

Ali Pirasteh, E Aleks Sorra, Hector Marquez, Robert C Sibley, Julia R Fielding, Abhinav Vij, Nicole E Rich, Ana Arroyo, Adam C Yopp, Gaurav Khatri and 2 more

Abstract read
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In one paragraph

Article in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. [Research progress of LI-RADS categories and imaging features in predicting the prognosis of liver tumors].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Review
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 at 2 institutions in 1 country.

Ali PirastehRadiology, University of Wisconsin-Madison, 1111 Highland Ave, WIMR II, Room 2423, Madison, WI, 53705, USA. pirasteh@wisc.edu.ORCID http://orcid.org/0000-0003-0797-4636
E Aleks SorraRadiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0003-1970-0755
Hector MarquezRadiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Robert C SibleyRadiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0001-5075-5071
Julia R FieldingRadiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Abhinav VijRadiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-1037-2217
Nicole E RichDigestive and Liver Diseases, Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0003-2740-8818
Ana ArroyoDigestive and Liver Diseases, Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Adam C YoppSurgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-5887-5315
Gaurav KhatriRadiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-3485-1650
Amit G SingalDigestive and Liver Diseases, Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Takeshi YokooRadiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-5092-6931
The University of Texas Southwestern Medical Center · USUniversity of Wisconsin System · US

Funding

NIH HHS U01 C230694
6 · The paper itself

Abstract

purposeTo evaluate the inter-reader reproducibility and prognostic accuracy of the Liver Imaging Reporting and Data System (LI-RADS) treatment response algorithm (LR-TR) at the time of initial post-treatment evaluation following drug-eluting beads transarterial chemoembolization (DEB-TACE) for hepatocellular carcinoma (HCC).

methodsThis retrospective study included patients with HCC who underwent first-line DEB-TACE between January 2011 and December 2015. Six readers (three fellowship-trained radiologists and three radiology trainees) independently assessed lesion-level response in up to two treated lesions per LR-TR and modified Response Evaluation Criteria in Solid Tumors (mRECIST)-target criteria, as well as patient-level response per mRECIST-overall criteria, on the initial post-treatment CT/MRI. Inter-reader agreement was calculated by Fleiss' multi-reader κ. We tested whether LR-TR, mRECIST-target, and mRECIST-overall response were associated with overall survival using Kaplan-Meier and Cox proportional hazard model analyses.

resultsA total of 82 patients with 113 treated target lesions were included. Inter-reader agreement was moderate for LR-TR and mRECIST-overall (κ range 0.42-0.57), and substantial for mRECIST-target (κ range 0.62-0.66), among all three reader-groups: all readers, experienced readers, and less-experienced readers. LR-TR and mRECIST-target response were not significantly associated with overall survival regardless of reader experience (P > 0.05). In contrast, mRECIST-overall response was significantly associated with overall survival when assessed by all readers (P = 0.02) and experienced readers (P = 0.03), but not by the less-experienced readers (P = 0.35).

conclusionAlthough LR-TR algorithm has moderate inter-reader reproducibility, it alone may not predict overall survival on the initial post-treatment CT/MRI after first-line DEB-TACE for HCC.

Indexed as

Carcinoma, HepatocellularChemoembolization, TherapeuticLiver NeoplasmsAlgorithmsHumansMagnetic Resonance ImagingPrognosisReproducibility of ResultsRetrospective StudiesTomography, X-Ray ComputedComputed tomographyHepatocellular carcinomaMagnetic resonance imagingResponse Evaluation Criteria In Solid TumorsTherapeutic chemoembolization

Identifiers

PMID33755735
OpenAlexW3139150247

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.