Evidence map›Paper›PMID 37615762›Full record

ArticleEuropean radiology2024

Radiomics model versus 2017 revised international consensus guidelines for predicting malignant intraductal papillary mucinous neoplasms.

Doo Young Lee, Jaeseung Shin, Sungwon Kim, Song-Ee Baek, Suji Lee, Nak-Hoon Son, Mi-Suk Park

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Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Doo Young LeeDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Jaeseung ShinDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University College of Medicine, 81 Irwon-Ro, Kangnam-Gu, Seoul, 06351, Republic of Korea. dr.shinjs@gmail.com.ORCID http://orcid.org/0000-0002-6755-4732
Sungwon KimDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Song-Ee BaekDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Suji LeeDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Nak-Hoon SonDepartment of Statistics, Keimyung University, Daegu, Korea.
Mi-Suk ParkDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Yonsei University · KRKeimyung University · KRSamsung Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate a CT-based radiomics model for identifying malignant pancreatic intraductal papillary mucinous neoplasms (IPMNs) and compare its performance with the 2017 international consensus guidelines (ICGs). MATERIALS AND

methodsWe retrospectively included 194 consecutive patients who underwent surgical resection of pancreatic IPMNs between January 2008 and December 2020. Surgical histopathology was the reference standard for diagnosing malignancy. Using radiomics features from preoperative contrast-enhanced CT, a radiomics model was built with the least absolute shrinkage and selection operator by a five-fold cross-validation. CT and MR images were independently reviewed based on the 2017 ICGs by two abdominal radiologists, and the performances of the 2017 ICGs and radiomics model were compared. The areas under the curve (AUCs) were compared using the DeLong method.

resultsA total of 194 patients with pancreatic IPMNs (benign, 83 [43%]; malignant, 111 [57%]) were chronologically divided into training (n = 141; age, 65 ± 8.6 years; 88 males) and validation sets (n = 53; age, 66 ± 9.7 years; 31 males). There was no statistically significant difference in the diagnostic performance of the 2017 ICGs between CT and MRI (AUC, 0.71 vs. 0.71; p = 0.93) with excellent intermodality agreement (k = 0.86). In the validation set, the CT radiomics model had higher AUC (0.85 vs. 0.71; p = 0.038), specificity (84.6% vs. 61.5%; p = 0.041), and positive predictive value (84.0% vs. 66.7%; p = 0.044) than the 2017 ICGs.

conclusionThe CT radiomics model exhibited better diagnostic performance than the 2017 ICGs in classifying malignant IPMNs. CLINICAL RELEVANCE STATEMENT: Compared with the radiologists' evaluation based on the 2017 international consensus guidelines, the CT radiomics model exhibited better diagnostic performance in classifying malignant intraductal papillary mucinous neoplasms. KEY POINTS: • There is a paucity of comparisons between the 2017 international consensus guidelines (ICGs) and radiomics models for malignant intraductal papillary mucinous neoplasms (IPMNs). • The CT radiomics model developed in this study exhibited better diagnostic performance than the 2017 ICGs in classifying malignant IPMNs. • The radiomics model may serve as a valuable complementary tool to the 2017 ICGs, potentially allowing a more quantitative assessment of IPMNs.

Indexed as

Carcinoma, Pancreatic DuctalNeoplasms, Cystic, Mucinous, and SerousPancreatic Intraductal NeoplasmsPancreatic NeoplasmsAgedHumansMaleMiddle AgedRadiomicsRetrospective StudiesComputed tomographyDiagnosisMagnetic resonance imagingPancreatic cystPancreatic neoplasms

Identifiers

PMID37615762
OpenAlexW4386117058

What OpenQuestion holds

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Registered trials

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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.