Evidence map›Paper›PMID 35399166›Full record

ArticleCancer diagnosis & prognosis

Transabdominal Ultrasonography for Preoperative Diagnosis of Lymph Node Metastasis in Colon Cancer: A Retrospective Cohort Study.

Ken Imaizumi, Shigenori Homma, Mutsumi Nishida, Takeshi Soyama, Ryosuke Shimura, Yusuke Kudo, Satomi Omotehara, Isao Yokota, Ryo Takagi, Hiroki Matsui and 5 more

Open access · greenAbstract read
In one paragraph

Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Value of MSCT plus MRI in the Detection of Colon Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022
    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

15 authors at 2 institutions in 1 country.

Ken ImaizumiDepartment of Gastroenterological Surgery I, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Shigenori HommaDepartment of Gastroenterological Surgery I, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Mutsumi NishidaDivision of Laboratory and Transfusion Medicine, Diagnostic Center for Sonography, Hokkaido University Hospital, Sapporo, Japan.
Takeshi SoyamaDepartment of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.
Ryosuke ShimuraDepartment of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.
Yusuke KudoDivision of Laboratory and Transfusion Medicine, Diagnostic Center for Sonography, Hokkaido University Hospital, Sapporo, Japan.
Satomi OmoteharaDivision of Laboratory and Transfusion Medicine, Diagnostic Center for Sonography, Hokkaido University Hospital, Sapporo, Japan.
Isao YokotaDepartment of Biostatistics, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Ryo TakagiDepartment of Biostatistics, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Hiroki MatsuiDepartment of Gastroenterological Surgery I, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Yoichi MiyaokaDepartment of Gastroenterological Surgery I, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Nobuki IchikawaDepartment of Gastroenterological Surgery I, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Tadashi YoshidaDepartment of Gastroenterological Surgery I, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Norihiko TakahashiDepartment of Gastroenterological Surgery I, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Akinobu TaketomiDepartment of Gastroenterological Surgery I, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Hokkaido University · JPHokkaido University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: Although computed tomography (CT) is the standard modality for diagnosing lymph node metastasis (LNM), transabdominal ultrasonography (US) can be useful due to its high spatial resolution and use of Doppler signals to precisely analyse lymph nodes. This study aimed to evaluate the accuracy of US for lymph node assessment, establish US-based diagnostic criteria for LNM, and compare the capability of US with that of CT for the diagnosis of LNM. Patients and Methods: This retrospective, single-institution, cohort study included patients who underwent radical surgery for clinical stage 0-III colon cancer, between March 2012 and February 2019. Results: Overall, 34.9% (66/189) of patients had pathological LNM. The optimal US diagnostic criteria were 1) short axis ≥7 mm and short/long ratio ≥0.75 and 2) at least two of the following: the absence of hilar echoes, expansive appearance, or peripheral/mixed vascularity by the colour Doppler and/or contrast-enhanced method. Compared to CT, US showed a higher diagnostic sensitivity (54.5% vs. 43.9%; p=0.296), higher concordance with the number of pathological LNM (correlation coefficient: US, 0.42; CT, 0.27) and pathological N diagnosis (weighted ĸ: US, 0.35; CT, 0.18), and higher sensitivity for advanced LNM, including multiple LNMs (47.4% vs. 18.4%; p=0.014) and N2 stage (27.8% vs. 5.6%; p=0.177). Conclusion: US has higher sensitivity than CT for diagnosing LNM in colon cancer, along with a more accurate preoperative diagnosis of the N stage. Additionally, US may be more helpful than CT alone for preoperatively deciding the appropriateness of neoadjuvant treatment in colon cancer with advanced LNM.

Indexed as

colon cancercomputed tomographycontrast-enhanced ultrasonographylymph node metastasisTransabdominal ultrasonography

Identifiers

PMID35399166
PMCPMC8962819
OpenAlexW4214710139

What OpenQuestion holds

Textmetadata
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.