Evidence map›Paper›PMID 37754523›Full record

ArticleCurrent oncology (Toronto, Ont.)2023

Real-Time Ultrasound-Computed Tomography Fusion with Volume Navigation to Assess Pancreatic Cystic Lesions.

Manoj Mathew, Mayur Virarkar, Jia Sun, Khoan Thai, Mohammed Saleh, Manuel Menendez-Santos, Deepak Bedi, Jeffrey E Lee, Matthew Katz, Vikas Kundra and 1 more

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Manoj MathewDepartment of Radiology, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Mayur VirarkarDepartment of Radiology, University of Florida College of Medicine, Jacksonville, FL 32209, USA.ORCID 0000-0002-5825-3102
Jia SunDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Khoan ThaiDepartment of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Mohammed SalehDepartment of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Manuel Menendez-SantosDepartment of Radiology, University of Florida College of Medicine, Jacksonville, FL 32209, USA.
Deepak BediDepartment of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jeffrey E LeeDepartment of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Matthew KatzDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Vikas KundraDepartment of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Priya BhosaleDepartment of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transabdominal ultrasound is a promising imaging modality for pancreatic cystic lesions. This study aims to determine if transabdominal ultrasonography with CT fusion (TAUS-f) using volume navigation can be used to measure pancreatic cystic lesions (PCLs) compared to CT alone. We evaluated 33 patients prospectively with known PCLs. The readers evaluated each PCL's size and imaging characteristics on TAUS-f and CT alone. These were compared to endoscopic ultrasonography reports. A total of 43 PCLs from 32 patients were evaluated. The detection rate by TAUS-f was 93%. Two of the three undetected PCLs were in the tail of the pancreas. Inter-reader variabilities for TAUS-f and CT were 0.005 cm and 0.03 cm, respectively. Subgroup analysis by size and location demonstrated that inter-modality variability between TAUS-f and CT was smallest for lesions < 1.5 cm with a size difference of -0.13 cm for each reader and smallest in the pancreatic head with a size difference of -0.16 cm and -0.17 cm for readers 1 and 2. We found that TAUS-f effectively evaluates PCLs compared to CT alone, thus suggesting that it should be considered part of the surveillance algorithm for a subset of patients.

Indexed as

PancreasPancreatic CystAlgorithmsHumansTomography, X-Ray ComputedUltrasonographyabdominal imagingcomputed tomographyCT fusionpancreatic pncreatic cysttransabdominal ultrasonography with CT fusiontransabdominal ultrasound

Identifiers

PMID37754523
PMCPMC10529455

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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.