Evidence map›Paper›PMID 37605034›Full record

ArticleAbdominal radiology (New York)2023

Predicting successful ultrasound-guided biopsy of liver lesions.

Yarab Al Bulushi, Cinthia Cruz-Romero, Hadiseh Kavandi, Alexander Brook, Olga R Brook

Abstract read
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Article in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Semi-automatic puncture robotic system based on real-time multi-modal image fusion: preclinical evaluation.International journal of computer assisted radiology and surgery · 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

5 authors at 1 institution in 1 country.

Yarab Al BulushiDepartment of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
Cinthia Cruz-RomeroDepartment of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
Hadiseh KavandiDepartment of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
Alexander BrookDepartment of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
Olga R BrookDepartment of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA. obrook@bidmc.harvard.edu.ORCID 0000-0002-7074-8909
Beth Israel Deaconess Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the factors that affect successful ultrasound-guided biopsy of liver lesions and build a model predicting feasibility of US-guided liver biopsy.

methodsThis is IRB-approved HIPAA-compliant retrospective review of consecutive ultrasound-guided targeted liver biopsies performed or attempted between 1/2018 and 9/2020 at a single tertiary academic institution with a total of 501 patients included. Mann-Whitney and chi-square tests were used to compare continuous and categorical variables, respectively. Logistic regression model was built to predict feasibility of successful ultrasound-guided biopsy.

resultsLiver lesion biopsy was successfully performed with US guidance in 429/501 (86%) patients. Lesions not amenable for US biopsy were smaller (median size 1.6 cm vs 3.3 cm, p < 0.0001) and deeper within the liver (median depth 9.0 cm vs 5.8 cm, p < 0.0001). The technical success rate was lowest for lesions in segment II (40/53, 75%), while lesions in segment IVb (87/91, 96%) had highest success rate (p < 0.003). US targeting in patients with 1 or 2 lesions was less feasible than in patients with 3 or more lesions, 126/180 (70%) vs. 303/321 (94%), (p < 0.0001). Model including lesion size, depth, location, and number of lesions predicts feasibility of US-guided biopsy with Area under the ROC curve (AUC) = 0.92.

conclusionsLinear logistic regression model that includes lesion size, depth and location, and number of lesions is highly successful in predicting feasibility of ultrasound-guided biopsy for liver lesions. Smaller lesions, deeper lesions, and lesions in segment II and VIII in patients with less than 3 lesions were less feasible for ultrasound-guided biopsy of liver lesions.

Indexed as

Image-Guided BiopsyLiver NeoplasmsUltrasonography, InterventionalAdultAgedAged, 80 and overFeasibility StudiesFemaleHumansLiverMaleMiddle AgedRetrospective StudiesFeasibilityLiver biopsyUltrasound guidance

Identifiers

PMID37605034
OpenAlexW4386026088

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.