Back
Top 5%
17.8%
Top 46%
14.7%
#1
5.0%
Top 26%
4.2%
Top 7%
3.9%
Top 5%
3.9%
Top 0.7%
2.8%
Top 21%
1.9%
Top 9%
1.9%
Top 49%
1.9%
Top 9%
1.9%
Top 0.3%
1.6%
Top 4%
1.6%
Top 5%
1.5%
Top 2%
1.2%
Top 5%
1.2%
Top 4%
1.2%
Top 8%
1.0%
Top 17%
1.0%
Top 8%
1.0%
Top 9%
1.0%
Top 11%
1.0%
Top 3%
1.0%
Top 4%
0.7%
Top 34%
0.7%
Top 21%
0.7%
Diagnostic Value of Elastography in Differentiating Parathyroid Adenoma from Hyperplasia: A Systematic Review and Meta-Analysis
2025-12-11
radiology and imaging
Title + abstract only
View on medRxiv
Show abstract
BackgroundDifferentiating parathyroid adenoma from hyperplasia is critical for surgical planning, but conventional imaging often cannot reliably distinguish these lesions. Ultrasound elastography offers quantitative assessment of tissue stiffness and may improve preoperative characterization. PurposeTo evaluate the diagnostic accuracy of ultrasound elastography in differentiating parathyroid adenoma from hyperplasia. MethodsA systematic review and meta-analysis was conducted in accordance with...
Predicted journal destinations
1
Scientific Reports
701 training papers
2
PLOS ONE
1737 training papers
3
Diagnostics
36 training papers
4
Nature Communications
483 training papers
5
PLOS Digital Health
88 training papers
6
Cancers
57 training papers
7
eBioMedicine
82 training papers
8
eLife
262 training papers
9
JAMA Network Open
125 training papers
10
BMJ Open
553 training papers
11
Journal of Clinical Medicine
77 training papers
12
Patterns
15 training papers
13
International Journal of Medical Informatics
25 training papers
14
Frontiers in Oncology
34 training papers
15
Imaging Neuroscience
18 training papers
16
NeuroImage
36 training papers
17
BMC Cancer
21 training papers
18
Human Brain Mapping
53 training papers
19
Cureus
64 training papers
20
Computers in Biology and Medicine
39 training papers
21
Heliyon
57 training papers
22
NeuroImage: Clinical
77 training papers
23
Scientific Data
30 training papers
24
Clinical Cancer Research
22 training papers
25
BMC Medicine
155 training papers
26
npj Digital Medicine
85 training papers