Evidence map›Paper›PMID 36428949›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Comparison of Conventional Imaging and 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in the Diagnostic Accuracy of Staging in Patients with Intrahepatic Cholangiocarcinoma.

Eiko Nishioka, Masakatsu Tsurusaki, Ryohei Kozuki, Sung-Woon Im, Atsushi Kono, Kazuhiro Kitajima, Takamichi Murakami, Kazunari Ishii

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06381648 (An Exosome-based Liquid Biopsy Signature for Pre-operative Identification of Lymph Node Metastasis in Patients With Intrahepatic Cholangiocarcinoma), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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.

NCT06381648 completednot on this mapstarted 2023, after this paper: background citation

An Exosome-based Liquid Biopsy Signature for Pre-operative Identification of Lymph Node Metastasis in Patients With Intrahepatic Cholangiocarcinoma

TypeobservationalSponsorCity of Hope Medical CenterRan2023 to 2025Enrolled230ConditionsCholangiocarcinoma, Cholangiocarcinoma, Intrahepatic, Cholangiocarcinoma Resectable, CholangiocarcinomaArmsLyMIC (Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma)
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. The Impact ofMolecular imaging and radionuclide therapy · 2025
    Article
  4. Review
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  6. Hepatobiliary surgery and nutrition · 2024
    Article
  7. Review
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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

8 authors at 3 institutions in 1 country.

Eiko NishiokaDepartment of Radiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Hyogo, Japan.
Masakatsu TsurusakiDepartment of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama 589-8511, Osaka, Japan.ORCID 0000-0001-9894-4912
Ryohei KozukiDepartment of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama 589-8511, Osaka, Japan.
Sung-Woon ImDepartment of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama 589-8511, Osaka, Japan.
Atsushi KonoDepartment of Radiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Hyogo, Japan.
Kazuhiro KitajimaDepartment of Radiology, Hyogo Medical University Faculty of Medicine, Nishinomiya 663-8501, Hyogo, Japan.ORCID 0000-0002-9553-996X
Takamichi MurakamiDepartment of Radiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Hyogo, Japan.
Kazunari IshiiDepartment of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama 589-8511, Osaka, Japan.ORCID 0000-0001-6601-952X
Kindai University · JPKobe University · JPHyogo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to examine the accuracy of tumor staging of intrahepatic cholangiocarcinoma (ICC) by using 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET-CT). From January 2001 to December 2021, 202 patients underwent PET-CT, CT, and MRI for the initial staging of ICC in two institutions. Among them, 102 patients had undergone surgical treatment. Ninety patients who had a histopathological diagnosis of ICC were retrospectively reviewed. The sensitivity and specificity of 18F-FDG PET-CT, CT, and magnetic resonance imaging (MRI) in detecting tumors, satellite focus, vascular invasion, and lymph node metastases were analyzed. Ninety patients with histologically diagnosed ICC were included. PET-CT demonstrated no statistically significant advantage over CT and MR in the diagnosis of multiple tumors and macrovascular invasion, and bile duct invasion. The overall sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of PET-CT in lymph node metastases were 84%, 86%, 91%, 84%, and 86%, respectively. PET-CT revealed a significantly higher accuracy compared to CT or MRI (86%, 67%, and 76%, p < 0.01, respectively) in the diagnosis of regional lymph node metastases. The accuracy of tumor staging by PET-CT was higher than that by CT/MRI (PET-CT vs. CT vs. MRI: 68/90 vs. 47/90 vs. 51/90, p < 0.05). 18F-FDG PET-CT had sensitivity and specificity values for diagnosing satellite focus and vascular and bile duct invasion similar to those of CT or MRI; however, PET-CT showed higher accuracy in diagnosing regional lymph node metastases. 18F-FDG PET-CT exhibited higher tumor staging accuracy than that of CT/MRI. Thus, 18FDG PET-CT may support tumor staging in ICC.

Indexed as

18F-fluorodeoxyglucose positron emission tomographycomputer tomographyintrahepatic cholangiocarcinomamagnetic resonance imagingtumor stage

Identifiers

PMID36428949
PMCPMC9689116
OpenAlexW4309710859

What OpenQuestion holds

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Registered trials

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.