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Radiomics model versus 2017 revised international consensus guidelines for predicting malignant intraductal papillary mucinous neoplasms.
Lee, Doo Young; Shin, Jaeseung; Kim, Sungwon; Baek, Song-Ee; Lee, Suji; Son, Nak-Hoon; Park, Mi-Suk.
Afiliação
  • Lee DY; Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Shin J; Department 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.
  • Kim S; Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Baek SE; Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Lee S; Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Son NH; Department of Statistics, Keimyung University, Daegu, Korea.
  • Park MS; Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Eur Radiol ; 34(2): 1222-1231, 2024 Feb.
Article em En | MEDLINE | ID: mdl-37615762
ABSTRACT

OBJECTIVES:

To 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

METHODS:

We 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.

RESULTS:

A 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.

CONCLUSION:

The 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Neoplasias Císticas, Mucinosas e Serosas / Carcinoma Ductal Pancreático / Neoplasias Intraductais Pancreáticas Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Neoplasias Císticas, Mucinosas e Serosas / Carcinoma Ductal Pancreático / Neoplasias Intraductais Pancreáticas Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article