Cinematic rendering in pancreatic imaging: CT features and malignancy indicators of mucinous cystic neoplasms.

Zahra F Rahmatullah, Sebastian Krueger, Connor W Smith, Philippe Soyer, Linda C Chu, Elliot K Fishman

Abstract readReview

In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zahra F RahmatullahRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, USA. zrahmat3@jh.edu.

Sebastian KruegerSiemens Healthineers (Germany), Eschborn, Germany.

Connor W SmithRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, USA.

Philippe SoyerFaculté de Médecine, Department of Radiology, Hôpital Cochin-Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France.

Linda C ChuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, USA.

Elliot K FishmanRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic mucinous cystic neoplasms (MCNs) are benign lesions with potential for malignant transformation. Accurate differentiation from other pancreatic cystic lesions remains challenging through conventional imaging modalities. Cinematic rendering (CR) is an advanced 3D computed tomography (CT) post-processing technique that generates photorealistic images with enhanced texture mapping and improved anatomical detail. It has not been previously discussed as a diagnostic tool for MCNs. Through added depth perception and tissue differentiation, CR complements conventional CT by enhancing visualization of morphology, internal components such as septations, calcification patterns, vascular involvement, and features suspicious of malignancy. It also helps with assessment of resectability and surgical planning by clearly highlighting vascular involvement. It is of note that further research is needed to quantify its added diagnostic value and optimize its role in clinical decisions in the evaluation of MCNs.

Indexed as

3D imagingCinematic renderingCTMCNPancreatic cystPancreatic mucinous cystic neoplasmPancreatic neoplasm

Identifiers

PMID42159674

DOI10.1007/s003300100855

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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.