Diagnostic performance and inter-operator variability of apparent diffusion coefficient analysis for differentiating pleomorphic adenoma and carcinoma ex pleomorphic adenoma: comparing one-point measurement and whole-tumor measurement including radiomics approach.

Background and Purpose: The purpose of this study was to compare the diagnostic performance between apparent diffusion coefficient (ADC) analysis of one-point measurement and whole-tumor measurement, including radiomics for differentiating pleomorphic adenoma (PA) from carcinoma ex pleomorphic adeno...

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Published in:Japanese Journal of Radiology Vol. 38; no. 3; pp. 207 - 215
Main Authors: Wada, Takeshi, Yokota, Hajime, Horikoshi, Takuro, Starkey, Jay, Hattori, Shinya, Hashiba, Jun, Uno, Takashi
Format: research Journal Article
Published: Springer Nature Mar2020
Online Access:View this record in EBSCOhost
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      dt: Mar2020
      vid: 38
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s11604-019-00908-1
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        atl: Diagnostic performance and inter-operator variability of apparent diffusion coefficient analysis for differentiating pleomorphic adenoma and carcinoma ex pleomorphic adenoma: comparing one-point measurement and whole-tumor measurement including radiomics approach.
      aug:
        au:
          Wada, Takeshi
          Yokota, Hajime
          Horikoshi, Takuro
          Starkey, Jay
          Hattori, Shinya
          Hashiba, Jun
          Uno, Takashi
        affil: Department of Radiology, Chiba University Hospital, 1-8-1, Inohana Chuo-ku, 260-8677, Chiba, Japan
      sug:
        subj:
          Image Interpretation, Computer Assisted Methods
          Salivary Gland Neoplasms
          Clinical Competence Statistics and Numerical Data
          Adenoma
          Male
          Pharmacokinetics
          Middle Age
          Observer Bias
          Female
          Human
          Reproducibility of Results
          Salivary Glands
          Diagnosis, Differential
          Magnetic Resonance Imaging
          ROC Curve
          Algorithms
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Impact of Events Scale
          Middle Aged: 45-64 years
          Male
          Female
      ab: Background and Purpose: The purpose of this study was to compare the diagnostic performance between apparent diffusion coefficient (ADC) analysis of one-point measurement and whole-tumor measurement, including radiomics for differentiating pleomorphic adenoma (PA) from carcinoma ex pleomorphic adenoma (CXPA), and to evaluate the impact of inter-operator segmentation variability.Materials and Methods: One hundred and fifteen patients with PA and 22 with CXPA were included. Four radiologists with different experience independently placed one-point and whole-tumor ROIs and a radiomics-predictive model was constructed from the extracted imaging features. We calculated the area under the receiver-operator characteristic curve (AUC) for the diagnostic performance of imaging features and the radiomics-predictive model.Results: AUCs of the imaging features from whole-tumor varied between readers (0.50-0.89). The most experienced radiologist (Reader 1) produced significantly high AUCs than less experienced radiologists (Reader 3 and 4; P = 0.01 and 0.009). AUCs were higher for the radiomics-predictive model (0.82-0.87) than for one-point (0.66-0.79) in all readers.Conclusion: Some imaging features of whole-tumor and radiomics-predictive model had higher diagnostic performance than one-point. The diagnostic performance of imaging features from whole-tumor alone varied depending on operator experience. Operator experience appears less likely to affect diagnostic performance in the radiomics-predictive model.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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