Evidence map›Paper›PMID 34644607›Full record

ArticleInternational journal of radiation oncology, biology, physics2022

LI-RADS Treatment Response Algorithm: Performance and Diagnostic Accuracy With Radiologic-Pathologic Explant Correlation in Patients With SBRT-Treated Hepatocellular Carcinoma.

Mishal Mendiratta-Lala, Anum Aslam, Katherine E Maturen, Maria Westerhoff, Chris Maurino, Neehar D Parikh, Yilun Sun, Christopher J Sonnenday, Erica B Stein, Kimberly L Shampain and 6 more

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 33 citations in OpenAlex.

  1. A Phase II Study of Optimized Individualized Adaptive Radiotherapy for Hepatocellular Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Trial
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  7. α/β for Hepatocellular Carcinoma Tumors Treated With Radiation Therapy.International journal of radiation oncology, biology, physics · 2026
    Article
  8. Review
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  18. LI-RADS CT/MRI Treatment Response Assessment Update in 2024.Journal of the Korean Society of Radiology · 2025
    Review
  19. Review
  20. 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

16 authors at 4 institutions in 1 country.

Mishal Mendiratta-LalaDepartment of Radiology, University of Michigan Health System, Ann Arbor, Michigan. Electronic address: mmendira@med.umich.edu.
Anum AslamDepartment of Radiology, University of Michigan Health System, Ann Arbor, Michigan.
Katherine E MaturenDepartment of Radiology, University of Michigan Health System, Ann Arbor, Michigan.
Maria WesterhoffDepartment of Pathology, University of Michigan Health System, Ann Arbor, Michigan.
Chris MaurinoDepartment of Radiology, University of Michigan Health System, Ann Arbor, Michigan; Radiation Oncology, University of Michigan Health System, Ann Arbor, MI.
Neehar D ParikhDepartment of Radiology, University of Michigan Health System, Ann Arbor, Michigan; Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, Michigan.
Yilun SunRadiation Oncology, University of Michigan Health System, Ann Arbor, MI.
Christopher J SonnendayDepartment of Surgery, University of Michigan Health System, Ann Arbor, Michigan.
Erica B SteinDepartment of Radiology, University of Michigan Health System, Ann Arbor, Michigan.
Kimberly L ShampainDepartment of Radiology, University of Michigan Health System, Ann Arbor, Michigan.
Ravi K KazaDepartment of Radiology, University of Michigan Health System, Ann Arbor, Michigan.
Kyle CuneoRadiation Oncology, University of Michigan Health System, Ann Arbor, MI.
William MaschDepartment of Radiology, University of Michigan Health System, Ann Arbor, Michigan.
Richard Kinh Gian DoDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Theodore S LawrenceRadiation Oncology, University of Michigan Health System, Ann Arbor, MI.
Dawn OwenRadiation Oncology, Mayo Clinic Rochester, Rochester, Minnesota.
Michigan Medicine · USMayo Clinic · USMemorial Sloan Kettering Cancer Center · USUniversity of Michigan–Ann Arbor · US

Funding

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

Abstract

purposeOur purpose was to evaluate the accuracy of LI-RADS Treatment Response Algorithm (LR-TRA) for assessing the viability of hepatocellular carcinoma (HCC) treated with stereotactic body radiation therapy (SBRT), using explant pathology as the gold standard. METHODS AND MATERIALS: This retrospective study included patients who underwent SBRT for locoregional treatment of HCC between 2008 and 2019 with subsequent liver transplantation. Five radiologists independently assessed all treated lesions by using the LR-TRA. Imaging and posttransplant histopathology were compared. Lesions were categorized as either completely (100%) or incompletely (<100%) necrotic, and performance characteristics and predictive values for the LR-TR viable and nonviable categories were calculated for each reader. Interreader reliability was calculated using the Fleiss kappa test.

resultsA total of 40 treated lesions in 26 patients (median age, 63 years [interquartile range, 59.4-65.5]; 23 men) were included. For lesions treated with SBRT, sensitivity for incomplete tumor necrosis across readers ranged between 71% and 86%, specificity between 85% and 96%, and positive predictive value between 86% and 92%, when the LR-TR equivocal category was treated as nonviable, accounting for subject clustering. When the LR-TR equivocal category was treated as viable, sensitivity of complete tumor necrosis for lesions treated with SBRT ranged from 88% to 96%, specificity from 71% to 93%, and negative predictive value from 85% to 96%. Interreader reliability was fair (k = 0.22; 95% confidence interval, 0.13-0.33). Although a loss of arterial phase hyperenhancement (APHE) was highly correlated with pathologically nonviable tumor on explant, almost half of the patients with APHE had pathologically nonviable tumor on explant.

conclusionsLR-TRA v2018 performs well for predicting complete and incomplete necrosis in HCC treated with SBRT. In contrast to other locoregional therapies, the presence of APHE after SBRT does not always indicate viable tumor and suggests that observation may be an appropriate strategy for these patients.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsRadiosurgeryAlgorithmsContrast MediaHumansMagnetic Resonance ImagingMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast Media

Identifiers

PMID34644607
PMCPMC9400832
OpenAlexW3205400806

What OpenQuestion holds

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Registered trials

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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.