Evidence map›Paper›PMID 38201633›Full record

ArticleCancers2024

Pancreatic Cyst Size Measurement on Magnetic Resonance Imaging Compared to Pathology.

Daniel Jeong, Brian Morse, Stuart Lane Polk, Dung-Tsa Chen, Jiannong Li, Pamela Hodul, Barbara A Centeno, James Costello, Kun Jiang, Sebastian Machado and 10 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

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

20 authors.

Daniel JeongDepartment of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Brian MorseDepartment of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Stuart Lane PolkCollege of Medicine, University of South Florida, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Dung-Tsa ChenDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.ORCID 0000-0001-5026-415X
Jiannong LiDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Pamela HodulDepartment of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Barbara A CentenoDepartment of Anatomic Pathology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
James CostelloDepartment of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Kun JiangDepartment of Anatomic Pathology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Sebastian MachadoDepartment of Clinical Science, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Issam El NaqaDepartment of Machine Learning, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.ORCID 0000-0001-6023-1132
Paola T FarahDepartment of Clinical Science, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.ORCID 0000-0002-7410-4377
Tri HuynhCollege of Medicine, University of Florida, 1600 SW Archer Rd, Gainesville, FL 32610, USA.ORCID 0000-0003-0639-2298
Natarajan RaghunandDepartment of Cancer Physiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Shaffer MokDepartment of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Aamir DamDepartment of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Mokenge MalafaDepartment of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Aliya QayyumDepartment of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Jason B FlemingDepartment of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Jennifer B PermuthDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, 3011 Holly Drive, Tampa, FL 33612, USA.ORCID 0000-0002-4726-9264

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Using Radiogenomics to Noninvasively Predict the Malignant Potential of Intraductal Papillary Mucinous Neoplasms of the Pancreas and Uncover Hidden BiologyR37CA229810 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI JEONG, DANIEL, PERMUTH, JENNIFER B · 2019 to 2025
$5.0M
Novel Therapy to Inhibit IPMN ProgressionR01CA263575 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI BATRA, SURINDER K., MALAFA, MOKENGE P. · 2022 to 2024
$2.1M
NCI NIH HHS P30 CA076292NCI NIH HHS R01 CA263575NCI NIH HHS R37 CA229810NCI NIH HHS R37CA229810
6 · The paper itself

Abstract

backgroundWhile multiple cyst features are evaluated for stratifying pancreatic intraductal papillary mucinous neoplasms (IPMN), cyst size is an important factor that can influence treatment strategies. When magnetic resonance imaging (MRI) is used to evaluate IPMNs, no universally accepted sequence provides optimal size measurements. T2-weighted coronal/axial have been suggested as primary measurement sequences; however, it remains unknown how well these and maximum all-sequence diameter measurements correlate with pathology size. This study aims to compare agreement and bias between IPMN long-axis measurements on seven commonly obtained MRI sequences with pathologic size measurements.

methodsThis retrospective cohort included surgically resected IPMN cases with preoperative MRI exams. Long-axis diameter tumor measurements and the presence of worrisome features and/orhigh-risk stigmata were noted on all seven MRI sequences. MRI size and pathology agreement and MRI inter-observer agreement involved concordance correlation coefficient (CCC) and intraclass correlation coefficient (ICC), respectively. The presence of worrisome features and high-risk stigmata were compared to the tumor grade using kappa analysis. The Bland-Altman analysis assessed the systematic bias between MRI-size and pathology.

resultsIn 52 patients (age 68 ± 13 years, 22 males), MRI sequences produced mean long-axis tumor measurements from 2.45-2.65 cm. The maximum MRI lesion size had a strong agreement with pathology (CCC = 0.82 (95% CI: 0.71-0.89)). The maximum IPMN size was typically observed on the axial T1 arterial post-contrast and MRCP coronal series and overestimated size versus pathology with bias +0.34 cm. The radiologist interobserver agreement reached ICCs 0.74 to 0.91 on the MRI sequences.

conclusionThe maximum MRI IPMN size strongly correlated with but tended to overestimate the length compared to the pathology, potentially related to formalin tissue shrinkage during tissue processing.

Indexed as

intraductal papillary mucinous neoplasmmagnetic resonance imagingsize measurement

Identifiers

PMID38201633
PMCPMC10778543

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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.