Evidence map›Paper›PMID 24744967›Full record

ArticleJournal of clinical imaging science2014

Role of Perfusion CT Differentiating Hemangiomas from Malignant Hepatic Lesions.

Jagjeet Singh, Sanjiv Sharma, Neeti Aggarwal, R G Sood, Shikha Sood, Ravinder Sidhu

Abstract read
In one paragraph

Article in Journal of clinical imaging science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. A Systematic Review on the Role of the Perfusion Computed Tomography in Abdominal Cancer.Dose-response : a publication of International Hormesis Society
    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

6 authors.

Jagjeet SinghDepartment of Radiodiagnosis and Intervention Radiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
Sanjiv SharmaDepartment of Radiodiagnosis and Intervention Radiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
Neeti AggarwalDepartment of Radiodiagnosis and Intervention Radiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
R G SoodDepartment of Radiodiagnosis and Intervention Radiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
Shikha SoodDepartment of Radiodiagnosis and Intervention Radiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
Ravinder SidhuDepartment of Imaging Sciences, University of Rochester Medical Center, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of the study was to determine the role of computed tomography (CT) perfusion in differentiating hemangiomas from malignant hepatic lesions. MATERIALS AND

methodsThis study was approved by the institutional review board. All the patients provided informed consent. CT perfusion was performed with 64 multidetector CT (MDCT) scanner on 45 patients including 27 cases of metastasis, 9 cases of hepatocellular carcinoma (HCC), and 9 cases of hemangiomas. A 14 cm span of the liver was covered during the perfusion study. Data was analyzed to calculate blood flow (BF), blood volume (BV), permeability surface area product (PS), mean transit time (MTT), hepatic arterial fraction (HAF), and induced residue fraction time of onset (IRFTO). CT perfusion parameters at the periphery of lesions and background liver parenchyma were compared.

resultsSignificant changes were observed in the perfusion parameters at the periphery of different lesions. Of all the perfusion parameters BF, HAF, and IRFTO showed most significant changes. In our study we found: BF of more than 400 ml/100 g/min at the periphery of the hemangiomas showed sensitivity of 88.9%, specificity of 83.3%, positive predictive value (PPV) of 57.1%, and negative predictive value (NPV) of 96.7% in differentiating hemangiomas from hepatic malignancy; HAF of more than 60% at the periphery of hemangiomas showed sensitivity of 77.8%, specificity of 86.1%, PPV of 58.3% and NPV of 93.9% in differentiating hemangiomas from hepatic malignancy; IRFTO of more than 3 s at the periphery of hemangiomas showed sensitivity of 77.8%, specificity of 86.1%, PPV of 58.3%, and NPV of 93.9% in differentiating hemangiomas from hepatic malignancy.

conclusionPerfusion CT is a helpful tool in differentiating hemangiomas from hepatic malignancy by its ability to determine changes in perfusion parameters of the lesions.

Indexed as

Hemangiomahepatocellular carcinomalivermetastasisperfusion

Identifiers

PMID24744967
PMCPMC3988591

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.