ArticleThe American journal of surgical pathology2024
PanIN or IPMN? Redefining Lesion Size in 3 Dimensions.
Article in The American journal of surgical pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Discordant pathology following pancreatoduodenectomy for suspected intraductal papillary mucinous neoplasm: reassessment of cyst fluid genetic analysis.Journal of surgical case reports · 2026Article
- CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images.Nature protocols · 2026Review
- Quantitative 3D histology reveals localized immune remodeling during early pancreatic cancer progression.Cell press blue · 2026Article
- Virtual multiplex staining of the pancreatic islets across type 1 diabetes progression using a Schrödinger bridge.bioRxiv : the preprint server for biology · 2026Article
- Early neoplastic lesions of the pancreas: initiation, progression, and opportunities for precancer interception.The Journal of clinical investigation · 2025Review
- Three-dimensional assessments are necessary to determine the true, spatially resolved composition of tissues.Cell reports methods · 2025Article
- 3D histology reveals that immune response to pancreatic precancers is heterogeneous and depends on global pancreas structure.bioRxiv : the preprint server for biology · 2024Article
- Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic findings.Science advances · 2024Article
- On the Effects of Gene Mutations in Pancreatic Tumorigenesis, Depending on the Cell Types and Times When They Are Induced.Cellular and molecular gastroenterology and hepatology · 2024Article
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Authors and funding
15 authors.
Funding
Abstract
Pancreatic ductal adenocarcinoma (PDAC) develops from 2 known precursor lesions: a majority (∼85%) develops from pancreatic intraepithelial neoplasia (PanIN), and a minority develops from intraductal papillary mucinous neoplasms (IPMNs). Clinical classification of PanIN and IPMN relies on a combination of low-resolution, 3-dimensional (D) imaging (computed tomography, CT), and high-resolution, 2D imaging (histology). The definitions of PanIN and IPMN currently rely heavily on size. IPMNs are defined as macroscopic: generally >1.0 cm and visible in CT, and PanINs are defined as microscopic: generally <0.5 cm and not identifiable in CT. As 2D evaluation fails to take into account 3D structures, we hypothesized that this classification would fail in evaluation of high-resolution, 3D images. To characterize the size and prevalence of PanINs in 3D, 47 thick slabs of pancreas were harvested from grossly normal areas of pancreatic resections, excluding samples from individuals with a diagnosis of an IPMN. All patients but one underwent preoperative CT scans. Through construction of cellular resolution 3D maps, we identified >1400 ductal precursor lesions that met the 2D histologic size criteria of PanINs. We show that, when 3D space is considered, 25 of these lesions can be digitally sectioned to meet the 2D histologic size criterion of IPMN. Re-evaluation of the preoperative CT images of individuals found to possess these large precursor lesions showed that nearly half are visible on imaging. These findings demonstrate that the clinical classification of PanIN and IPMN fails in evaluation of high-resolution, 3D images, emphasizing the need for re-evaluation of classification guidelines that place significant weight on 2D assessment of 3D structures.
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