| Title |
Correlation of magnetic resonance imaging with digital histopathology in prostate
|
|---|---|
| Published in |
International Journal of Computer Assisted Radiology and Surgery, September 2015
|
| DOI | 10.1007/s11548-015-1287-x |
| Pubmed ID | |
| Authors |
Jin Tae Kwak, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Maria Merino, Bradford J. Wood |
| Abstract |
We propose a systematic approach to correlate MRI and digital histopathology in prostate. T2-weighted (T2W) MRI and diffusion-weighted imaging (DWI) are acquired, and a patient-specific mold (PSM) is designed from the MRI. Following prostatectomy, a whole mount tissue specimen is placed in the PSM and sectioned, ensuring that tissue blocks roughly correspond to MRI slices. Rigid body and thin plate spline deformable registration attempt to correct deformation during image acquisition and tissue preparation and achieve a more complete one-to-one correspondence between MRIs and tissue sections. Each tissue section is stained with hematoxylin and eosin and segmented by adopting a machine learning approach. Utilizing this tissue segmentation and image registration, the density of cellular and tissue components (lumen, nucleus, epithelium, and stroma) is estimated per MR voxel, generating density maps for the whole prostate. This study was approved by the local IRB, and informed consent was obtained from all patients. Registration of tissue specimens and MRIs was aided by the PSM and subsequent image registration. Tissue segmentation was performed using a machine learning approach, achieving [Formula: see text]0.98 AUCs for lumen, nucleus, epithelium, and stroma. Examining the density map of tissue components, significant differences were observed between cancer, benign peripheral zone, and benign prostatic hyperplasia (p value [Formula: see text]5e[Formula: see text]2). Similarly, the signal intensity of the corresponding areas in both T2W MRI and DWI was significantly different (p value [Formula: see text]1e[Formula: see text]10). The proposed approach is able to correlate MRI and digital histopathology of the prostate and is promising as a potential tool to facilitate a more cellular and zonal tissue-based analysis of prostate MRI, based upon a correlative histopathology perspective. |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 70 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 18% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Other | 6 | 8% |
| Student > Master | 6 | 8% |
| Other | 9 | 13% |
| Unknown | 21 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 45% |
| Engineering | 6 | 8% |
| Computer Science | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Psychology | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 22 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 January 2022.
All research outputs
#7,459,393
of 22,805,349 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#223
of 845 outputs
Outputs of similar age
#90,142
of 266,894 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#4
of 16 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 845 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 53% of its peers.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.