Limited Role of the Apparent Diffusion Coefficient (ADC) for Tumor Grade and Overall Survival in Resectable Pancreatic Ductal Adenocarcinoma
Deniece M. Riviere, Marnix C. Maas, Lodewijk A. A. Brosens, Martijn W. J. Stommel, Cornelis J. H. M. van Laarhoven, John J. Hermans

TL;DR
This study found that ADC values from MRI scans are not useful for predicting tumor grade or survival in pancreatic cancer patients.
Contribution
The study demonstrates that ADC measurements have limited clinical utility for assessing PDAC aggressiveness based on histological parameters.
Findings
ADC p10 values showed no correlation with WHO differentiation, Adsay grade, or Kalimuthu patterns.
ADC p10 was not associated with overall survival or other clinicopathological variables.
Poor tumor differentiation and non-glandular Kalimuthu patterns were linked to worse survival.
Abstract
This study evaluated the relationship between apparent diffusion coefficient (ADC) values in pancreatic ductal adenocarcinoma (PDAC) and tumor grades based on WHO, Adsay, and Kalimuthu classifications, using whole-mount pancreatectomy specimens. If glandular formation plays a key role in the degree of diffusion restriction, diffusion-weighted imaging could facilitate non-invasive grading of PDAC. A freehand region of interest (ROI) was drawn along tumor borders on the preoperative ADC map in each tumor-containing slice. Resection specimens were retrospectively graded according to WHO, Adsay, and Kalimuthu classifications and correlated with overall survival and the 10th percentile of whole-volume ADC values. Findings from 40 patients (23 male, median age 67) showed no correlation between ADC p10 values and WHO differentiation (p = 0.050), Adsay grade (p = 0.955), or Kalimuthu patterns…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPancreatic and Hepatic Oncology Research · MRI in cancer diagnosis · Radiomics and Machine Learning in Medical Imaging
