Evidence map›Paper›PMID 34897951›Full record

ArticleJournal of applied clinical medical physics2022

Comparative analysis of two mathematical algorithms for the calculation of computed tomography perfusion parameters in the healthy and diseased pancreas.

Kehua Pan, Hongqing Wang, Xiaoyu Chen, Xiaocui Ye, Zhao Zhang, Xiao Chen, Xiufen Jia

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Kehua PanDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Hongqing WangDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiaoyu ChenDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiaocui YeDepartment of Ultrasonics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Zhao ZhangDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiao ChenDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiufen JiaDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe maximum slope (MS) and deconvolution (DC) algorithms are commonly used to post-process computed tomography perfusion (CTP) data. This study aims to analyze the differences between MS and DC algorithms for the calculation of pancreatic CTP parameters.

methodsThe pancreatic CTP data of 57 patients were analyzed using MS and DC algorithms. Two blinded radiologists calculated pancreatic blood volume (BV) and blood flow (BF). Interobserver correlation coefficients were used to evaluate the consistency between two radiologists. Paired t-tests, Pearson linear correlation analysis, and Bland-Altman analysis were performed to evaluate the correlation and consistency of the CTP parameters between the two algorithms.

resultsAmong the 30 subjects with normal pancreas, the BV values in the three pancreatic regions were higher in the case of the MS algorithm than in the case of the DC algorithm (t = 39.35, p < 0.001), and the BF values in the three pancreatic regions were slightly higher for the MS algorithm than for the DC algorithm (t = 2.19, p = 0.031). Similarly, among the 27 patients with acute pancreatitis, the BV values obtained using the MS methods were higher than those obtained using the DC methods (t = 54.14, p < 0.001). Furthermore, the BF values were higher with the MS methods than the DC methods (t = 8.45, p < 0.001). Besides, Pearson linear correlation and Bland-Altman analysis showed that the BF and BV values showed a good correlation and a bad consistency between the two algorithms.

conclusionsThe BF and BV values measured using MS and DC algorithms had a good correlation but were not consistent.

Indexed as

PancreatitisAcute DiseaseAlgorithmsHumansPancreasPerfusionTomography, X-Ray Computedalgorithmpancreatic perfusiontomographyX-ray computed

Identifiers

PMID34897951
PMCPMC8833275

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.