Evidence map›Paper›PMID 39698640›Full record

ArticleQuantitative imaging in medicine and surgery2024

Diagnosis of liver hemangioma using magnetic resonance diffusion-derived vessel density (DDVD) pixelwise map: a preliminary descriptive study.

Gen-Wen Hu, Cai-Ying Li, Ge Zhang, Cun-Jing Zheng, Fu-Zhao Ma, Xian-Yue Quan, Weibo Chen, Akmal Sabarudin, Michael S Y Zhu, Xin-Ming Li and 1 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. MRI signal simulation of liverQuantitative imaging in medicine and surgery · 2025
    Article
  13. Article
  14. Influences of the second motion probing gradientQuantitative imaging in medicine and surgery · 2025
    Article
  15. Article
  16. 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

11 authors.

Gen-Wen Hu *Department of Radiology, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, China.
Cai-Ying Li *Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Ge ZhangDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Cun-Jing ZhengDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Fu-Zhao MaDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Xian-Yue QuanDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Weibo ChenPhilips Healthcare, Shanghai, China.
Akmal SabarudinDiagnostic Imaging and Radiotherapy Program, Faculty of Health Sciences, The National University of Malaysia, Kuala Lumpur, Malaysia.
Michael S Y ZhuYingran Medicals Co., Ltd., Hong Kong SAR, China.
Xin-Ming LiDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Yì Xiáng J WángDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-5697-0717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Liver hemangiomas (HGs) are characterized by cavernous venous spaces delineated by a lining of vascular endothelial cells and interspersed with connective tissue septa. Typically, a liver HG has higher apparent diffusion coefficient (ADC) and T2 values than those of hepatocellular carcinomas (HCCs) and liver metastases, and lower ADC and T2 values than those of liver simple cysts. However, a portion of HGs shows ADC and T2 overlapping with those of HCC, liver metastasis, and simple cyst. When MRI is the first line examination for the liver, contrast enhanced imaging is commonly used to confirm the diagnosis of liver HG. Magnetic resonance diffusion-derived vessel density (DDVD) is a physiological surrogate of the area of microvessels per unit tissue area. DDVD is calculated according to: DDVD(b0b2) = Sb0/ROIarea0 - Sb2/ROIarea2, where Sb0 and Sb2 refer to the tissue signal when Methods: Three testing datasets were included. All imaging data were acquired at 3.0T. Dataset-1 consisted of 16 HGs (lesion diameter: 1.5-8.85 cm), 4 focal nodular hyperplasia (FNHs, lesion diameter: 1.72-5.7 cm), and 24 HCCs (lesion diameter: 1.83-12.77 cm), and DDVDm was reconstructed with Results: For dataset-1 and dataset-2 together, the correct diagnosis was made by the trained reader in 90.9% (20/22) of the HGs (77.7% with confidence) and 96.4% (27/28) of the MFLs (85.7% with confidence). HG generally showed substantially higher DDVD signal relative to background liver parenchyma. Though not necessarily, HG DDVD signals could be similar to those of blood vessels. Some HGs showed DDVD signals higher or similar to that of kidneys which have a higher perfusion than the liver. MFL generally showed DDVD signals only slightly higher, similar to, or even slightly lower, than that of background liver parenchyma. The DDVDm features of dataset-3 were all consistent with MFL. Conclusions: When DDVDm is used to evaluate the liver, HG can be diagnosed with confidence in a substantial portion of patients without the need for a contrast enhanced scan. Our result will be relevant for HG confirmation when MRI is the first line examination for the liver.

Indexed as

diffusion-derived vessel density (DDVD)diffusion-weighted imaging (DWI)hemangioma (HG)Liver

Identifiers

PMID39698640
PMCPMC11651954

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.