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ArticleLa Radiologia medica2021

LI-RADS to categorize liver nodules in patients at risk of HCC: tool or a gadget in daily practice?

Matteo Barabino, Martina Gurgitano, Cecilia Fochesato, Salvatore Alessio Angileri, Giuseppe Franceschelli, Roberto Santambrogio, Nicolò Maria Mariani, Enrico Opocher, Gianpaolo Carrafiello

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Article in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 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

27 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

9 authors.

Matteo BarabinoDepartment of Surgery, HBP and Digestive Surgery Unit, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan University, Via Antonio di Rudinì, 8, 20142, Milan, Italy.
Martina GurgitanoDepartment of Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan University, Via Antonio di Rudinì, 8, 20142, Milan, Italy.
Cecilia FochesatoDepartment of Surgery, HBP and Digestive Surgery Unit, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan University, Via Antonio di Rudinì, 8, 20142, Milan, Italy.
Salvatore Alessio AngileriOperative Unit of Radiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan University, Via Francesco Sforza, 35, 20122, Milan, Italy. alessioangileri@gmail.com.
Giuseppe FranceschelliDepartment of Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan University, Via Antonio di Rudinì, 8, 20142, Milan, Italy.
Roberto SantambrogioDivision of General Surgery, ASST Fatebenefratelli Sacco, Fatebenefratelli Hospital, Piazzale Principessa Clotilde, 3, 20121, Milan, Italy.
Nicolò Maria MarianiDepartment of Surgery, HBP and Digestive Surgery Unit, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan University, Via Antonio di Rudinì, 8, 20142, Milan, Italy.
Enrico OpocherDepartment of Surgery, HBP and Digestive Surgery Unit, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan University, Via Antonio di Rudinì, 8, 20142, Milan, Italy.
Gianpaolo CarrafielloOperative Unit of Radiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan University, Via Francesco Sforza, 35, 20122, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the effectiveness of liver reporting and data system (LI-RADS) to diagnose hepatocellular carcinoma (HCC) and to retrospectively evaluate its impact on the adopted therapeutic strategy. MATERIALS AND

methodsPreoperative imaging of 40 of 350 patients (median age 66, 31 M/9 F) submitted to liver resection for suspected HCC, between January 2008 and August 2019, has been retrospectively analyzed by two radiologists with different expertise, according to CT/MRI LI-RADS

resultsThe perfect agreement between the readers was about 62.5% (25/40) (Cohen k: 0.41), better for LR-5 category (16/25) and higher in magnetic resonance imaging (MRI) investigations (68%; 13/19), which has been demonstrated the modality of choice for diagnosis of high probable and certain HCC, with arterial phase hyperenhancement as the most sensitive and accurate major feature. Compared to final histology, LR4 and LR5 scores assigned by senior radiologist reached sensitivity, specificity, positive and negative predictive values (PPV, PNV) and diagnostic accuracy of 90,9%, 29,0%, 93,8%, 62,5% and 87,5%, respectively, slightly higher than junior's ones. Misdiagnosis of HCC was done by both radiologists in the same two patients: 1 primary hepatic lymphoma (PHL) and 1 regenerative liver nodule (RLN). If LI-RADS would have been applied at the time of pre-surgical imaging, treatment planning would be modified in 10% of patients (4/40); the patient scheduled as LR-3 and finally resulted a focal nodular hyperplasia would have avoided liver resection.

conclusionsApplication of LI-RADS, especially on MRI, may provide a more accurate evaluation of suspected HCC. PHL and RLN are the Achille's heels according to our experience.

Indexed as

AlgorithmsAgedCarcinoma, HepatocellularDiagnosis, DifferentialFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedLiver NeoplasmsMagnetic Resonance ImagingMalePredictive Value of TestsRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedHepatocellular carcinomaLiverLiver reporting and data systemMagnetic resonance

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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.