ArticleThe Review of scientific instruments2009
A method for correlating in vivo prostate magnetic resonance imaging and histopathology using individualized magnetic resonance-based molds.
Article in The Review of scientific instruments, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
What it found
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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.
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.
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Who cites it
71 citing papers in PubMed.
- 18F-DCFBC Prostate-Specific Membrane Antigen-Targeted PET/CT Imaging in Localized Prostate Cancer: Correlation With Multiparametric MRI and Histopathology.Clinical nuclear medicine · 2017Trial
- 11C-Acetate PET/CT in localized prostate cancer: a study with MRI and histopathologic correlation.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2012Trial
- Enhancing foundation model transfer for prostate cancer detection with patch-level contrastive learning.NPJ digital medicine · 2026Article
- Radio-pathomic maps of histo-morphometric features trained with whole mount prostate histology distinguish prostate cancer on MP-MRI.medRxiv : the preprint server for health sciences · 2026Article
- Impact of AI-Generated ADC Maps on Computer-Aided Diagnosis of Prostate Cancer: A Feasibility Study.Academic radiology · 2025Article
- Evaluating deep learning and radiologist performance in volumetric prostate cancer analysis with biparametric MRI and histopathologically mapped slides.Abdominal radiology (New York) · 2025Article
- Deep Learning-based Anatomy-Aware Morph Model for Registration of Prostate Whole-Mount Histopathology to MRI.Radiology. Imaging cancer · 2025Article
- Quantitative Histomorphometric Features of Prostate Cancer Predict Patients Who Biochemically Recur Following Prostatectomy.Laboratory investigation; a journal of technical methods and pathology · 2023Article
- T2-Weighted MRI Radiomic Features Predict Prostate Cancer Presence and Eventual Biochemical Recurrence.Cancers · 2023Article
- Direct correlation of MRI with histopathology in pediatric renal tumors through the use of a patient-specific 3-D-printed cutting guide: a feasibility study.Pediatric radiology · 2023Article
- Lesion-specific 3D-printed moulds for image-guided tissue multi-sampling of ovarian tumours: A prospective pilot study.Frontiers in oncology · 2023Article
- Comparison of a machine and deep learning model for automated tumor annotation on digitized whole slide prostate cancer histology.PloS one · 2023Article
- Whole slide imaging (WSI) scanner differences influence optical and computed properties of digitized prostate cancer histology.Journal of pathology informatics · 2023Article
- Pilot study for generating and assessing nomograms and decision curves analysis to predict clinically significant prostate cancer using only spatially registered multi-parametric MRI.Frontiers in oncology · 2023Article
- Combining and analyzing novel multi-parametric magnetic resonance imaging metrics for predicting Gleason score.Quantitative imaging in medicine and surgery · 2022Article
- Fresh tissue procurement and preparation for multicompartment and multimodal analysis of the prostate tumor microenvironment.The Prostate · 2022Article
- Diffusion Restriction Comparison between Gleason 4 Fused Glands and Cribriform Glands within Patient Using Whole-Mount Prostate Pathology as Ground Truth.Tomography (Ann Arbor, Mich.) · 2022Article
- Development and testing quantitative metrics from multi-parametric magnetic resonance imaging that predict Gleason score for prostate tumors.Quantitative imaging in medicine and surgery · 2022Article
- Prostate tumor eccentricity predicts Gleason score better than prostate tumor volume.Quantitative imaging in medicine and surgery · 2022Article
- Assessing and testing anomaly detection for finding prostate cancer in spatially registered multi-parametric MRI.Frontiers in oncology · 2022Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
A method for the design and rapid manufacture of a patient specific tissue slicing device based on in vivo images in order to facilitate the process of correlating the images with histopathology is presented. The method is applied to radical prostatectomy specimens where the customized mold is designed using magnetic resonance (MR) images of each patient obtained prior to surgery. In this case, the mold holds the prostate in place while a knife with a single blade or multiple blades is inserted in slots which are positioned to obtain tissue blocks corresponding to the slices in the MR images. The resulting histological specimens demonstrate good anatomical correlation with the MR images.
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Registered trials
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.