Back
Top 12%
12.2%
Top 0.7%
9.6%
Top 2%
9.3%
Top 71%
6.6%
Top 24%
6.6%
Top 15%
6.6%
Top 3%
6.6%
Top 1%
6.1%
Top 0.6%
5.2%
Top 1.0%
4.0%
Top 2%
2.0%
Top 2%
1.6%
Top 13%
1.6%
Top 5%
1.0%
Top 15%
1.0%
Top 2%
0.7%
Top 12%
0.7%
Top 6%
0.7%
Top 9%
0.7%
Top 20%
0.7%
Top 14%
0.7%
Radio-pathomic maps of histo-morphometric features trained with whole mount prostate histology distinguish prostate cancer on MP-MRI
2026-01-13
oncology
Title + abstract only
View on medRxiv
Show abstract
BackgroundProstate cancer (PCa) is the most prevalent male cancer in the U.S., accounting for 29% of new cancer diagnoses. Multiparametric MRI (MP-MRI), including T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) maps, is an effective tool for detecting PCa; however, accuracy varies, and false-positives may lead to unnecessary biopsies or overtreatment. Radio-pathomic maps (RPMs), derived from MP-MRI and machine learning, have been advantageous in differentiating clinically sig...
Predicted journal destinations
1
Scientific Reports
701 training papers
2
Frontiers in Oncology
34 training papers
3
Cancers
57 training papers
4
PLOS ONE
1737 training papers
5
BMJ Open
553 training papers
6
Nature Communications
483 training papers
7
eLife
262 training papers
8
Clinical Cancer Research
22 training papers
9
British Journal of Cancer
22 training papers
10
Cancer Medicine
17 training papers
11
BMC Cancer
21 training papers
12
Diagnostics
36 training papers
13
JAMA Network Open
125 training papers
14
PeerJ
46 training papers
15
Proceedings of the National Academy of Sciences
100 training papers
16
International Journal of Cancer
18 training papers
17
iScience
74 training papers
18
Communications Medicine
63 training papers
19
Computers in Biology and Medicine
39 training papers
20
npj Digital Medicine
85 training papers
21
PLOS Computational Biology
141 training papers