Evidence map›Paper›PMID 40184102›Full record

ArticleMedicine2025

Diagnosis of pulmonary adenoid cystic carcinoma using multimodal ultrasound imaging technology: A case report.

Hong Shi, Wei Qiu, Ping Yang, Yaping Zhang, Tingyu Huang, Jinyuan Mei, Xinrui Yin, Yanhui Yang

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Medicine, 2025. 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

8 authors.

Hong ShiDepartment of Ultrasound, The First People's Hospital of Neijiang, Neijiang City, Sichuan Province, China.
Wei QiuDepartment of Ultrasound, The First People's Hospital of Neijiang, Neijiang City, Sichuan Province, China.
Ping YangDepartment of Ultrasound, The First People's Hospital of Neijiang, Neijiang City, Sichuan Province, China.
Yaping ZhangDepartment of Ultrasound, The First People's Hospital of Neijiang, Neijiang City, Sichuan Province, China.ORCID 0009-0006-4603-3889
Tingyu HuangLaboratory of Pathology, The First People's Hospital of Neijiang, Neijiang City, Sichuan Province, China.
Jinyuan MeiSchool of Clinical Medicine, Southwest Medical University, Luzhou City, Sichuan Province, China.
Xinrui YinSchool of Clinical Medicine, Chengdu Medical College, Chengdu City, Sichuan Province, China.
Yanhui YangDepartment of Thoracic Surgery, The First People's Hospital of Neijiang, Neijiang City, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationalePulmonary adenoid cystic carcinoma (PACC) is an exceedingly uncommon malignant tumor originating from salivary glands. PATIENT CONCERNS: We present a case of primary PACC with multiple lung metastases in a 48-year-old male patient. DIAGNOSIS: Diagnosis involved grayscale ultrasound, shear wave elastography, contrast-enhanced ultrasound, and ultrasound-guided percutaneous lung biopsy, all conducted in a one-stop manner, and confirmed by pathological examination.

interventionsTreatment was recommended after the diagnosis was confirmed, but was not accepted. OUTCOMES: With telephone follow-up, the patient survived. LESSONS: PACC is an exceedingly uncommon malignant tumor originating from salivary glands. Compared to other cases, this case highlights the potential of multimodal ultrasound imaging for diagnosing lung tumors.

Indexed as

Carcinoma, Adenoid CysticLung NeoplasmsMultimodal ImagingElasticity Imaging TechniquesHumansImage-Guided BiopsyMaleMiddle AgedUltrasonography

Identifiers

PMID40184102
PMCPMC11709215

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.