Evidence map›Paper›PMID 35119560›Full record

ArticleClinical & experimental metastasis2022

Perfusion defects in non-enlarged metastatic lymph nodes using vessel wall magnetic resonance imaging: Detection performance and diagnostic value.

Maya Sakamoto, Ikuho Kojima, Masahiro Iikubo, Koichi Ito, Takafumi Aoki, Shiro Mori, Takenori Ogawa, Yukio Katori, Takaki Murata, Daisuke Ito and 1 more

Abstract read
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In one paragraph

Article in Clinical & experimental metastasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Quantitative parameters of dual-layer spectral CT for differentiating metastatic and non-metastatic lymph nodes in colorectal cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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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

11 authors at 2 institutions in 1 country.

Maya SakamotoLaboratory of Biomedical Engineering for Cancer, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan. maya.sakamoto.d1@tohoku.ac.jp.ORCID 0000-0003-1801-0576
Ikuho KojimaDepartment of Dental Informatics and Radiology, Graduate School of Dentistry, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan.
Masahiro IikuboDepartment of Dental Informatics and Radiology, Graduate School of Dentistry, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan.
Koichi ItoDepartment of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohoku University, Aramaki Aza, Aoba, Sendai, Miyagi, 980-8579, Japan.
Takafumi AokiDepartment of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohoku University, Aramaki Aza, Aoba, Sendai, Miyagi, 980-8579, Japan.
Shiro MoriLaboratory of Biomedical Engineering for Cancer, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan.
Takenori OgawaDepartment of Otolaryngology, Head and Neck Surgery, Graduate School of Medicine, Tohoku University, 2-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan.
Yukio KatoriHead and Neck Cancer Center, Tohoku University Hospital, 1-1 Seiryo, Aoba, Sendai, Miyagi, 980-8574, Japan.
Takaki MurataDepartment of Diagnostic Radiology, Tohoku University Hospital, 1-1 Seiryo, Aoba, Sendai, Miyagi, 980-8574, Japan.
Daisuke ItoDepartment of Radiology, Tohoku University Hospital, 1-1 Seiryo, Aoba, Sendai, Miyagi, 980-8574, Japan.
Tetsuya KodamaLaboratory of Biomedical Engineering for Cancer, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan.
Tohoku University · JPTohoku University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A perfusion defect (PD) in non-enlarged lymph nodes (LNs) of oral squamous cell carcinoma (OSCC) is the most reliable radiological criterion for the diagnosis of metastasis. However, conventional contrast-enhanced (CE) T1 weighted images using turbo spin echo (TSE) sequence is limited in detecting PD in non-enlarged LNs due to flow artifacts from cervical blood vessels. Vessel wall (VW) MR imaging with blood vessel flow suppression and high spatial resolution may provide new insights into the detection of PD. However, there are no reports in the literature on the usefulness of VW MR imaging for the diagnosis of LN metastasis. It is demonstrated that PD of non-enlarged LNs in CE VR MR imaging of OSCC patients is useful for the diagnosis of metastatic LNs. VW MR imaging was significantly more sensitive in detecting PD of non-enlarged metastatic LNs than conventional TSE imaging on visual evaluation. Furthermore, it was found that the image contrast between PD and surrounding intranodal tissue in CE VW MR images was higher than that in conventional CE TSE images. In the correlation between imaging and histopathological findings of metastatic LNs, all LNs that exhibited PD on CE VW MR images were at an advanced histopathological metastatic stage. The pathology of PD was necrotic tissue with keratinization. The results indicated that PD in CE VW imaging is useful in diagnosing non-enlarged LNs at an advanced metastasis stage. The addition of VW MR imaging to conventional MR examination achieves higher diagnostic performance for non-enlarged metastatic LNs.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsHumansLymphatic MetastasisLymph NodesMagnetic Resonance ImagingMagnetic Resonance SpectroscopyPerfusionSquamous Cell Carcinoma of Head and NeckLymph node metastasisMRINon-enlarged lymph nodeOral squamous cell carcinomaPerfusion defectVessel wall imaging

Identifiers

PMID35119560
OpenAlexW4210647129

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.