Risk stratification of gallbladder polyps larger than 10 mm using high-resolution ultrasonography and texture analysis.

Objectives: To assess important features for risk stratification of gallbladder (GB) polyps >10 mm using high-resolution ultrasonography (HRUS) and texture analysis.Methods: We included 136 patients with GB polyps (>10 mm) who underwent both HRUS and cholecystectomy (non-neoplastic, n = 58; adenomat...

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Publicado en:European Radiology Vol. 28; no. 1; pp. 196 - 206
Autores principales: Choi, Tae Won, Kim, Jung Hoon, Park, Sang Joon, Ahn, Su Joa, Joo, Ijin, Han, Joon Koo
Formato: Journal Article
Publicado: Springer Nature Jan2018
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00330-017-4954-1
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        atl: Risk stratification of gallbladder polyps larger than 10 mm using high-resolution ultrasonography and texture analysis.
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        au:
          Choi, Tae Won
          Kim, Jung Hoon
          Park, Sang Joon
          Ahn, Su Joa
          Joo, Ijin
          Han, Joon Koo
        affil: Department of Radiology, Seoul National University Hospital, 101 Daehangno, 110-744, Seoul, Jongno-gu, Republic of Korea
      sug:
        subj:
          Polyps
          Gallbladder Neoplasms
          Ultrasonography Methods
          Middle Age
          Retrospective Design
          Aged, 80 and Over
          Gallbladder Diseases
          Sensitivity and Specificity
          Diagnosis, Differential
          Gallbladder
          Aged
          Adult
          Relative Risk
          Male
          Female
          Middle Aged: 45-64 years
          Aged, 80 & over
          Aged: 65+ years
          Adult: 19-44 years
          Male
          Female
      ab: Objectives: To assess important features for risk stratification of gallbladder (GB) polyps >10 mm using high-resolution ultrasonography (HRUS) and texture analysis.Methods: We included 136 patients with GB polyps (>10 mm) who underwent both HRUS and cholecystectomy (non-neoplastic, n = 58; adenomatous, n = 32; and carcinoma, n = 46). Two radiologists retrospectively assessed HRUS findings and texture analysis. Multivariate analysis was performed to identify significant predictors for neoplastic polyps and carcinomas.Results: Single polyp (OR, 3.680-3.856) and larger size (OR, 1.450-1.477) were independently associated with neoplastic polyps (p < 0.05). In a single or polyp >14 mm, sensitivity for differentiating neoplastic from non-neoplastic polyps was 92.3%. To differentiate carcinoma from adenoma, sessile shape (OR, 9.485-41.257), larger size (OR, 1.267-1.303), higher skewness (OR, 6.382) and lower grey-level co-occurrence matrices (GLCM) contrast (OR, 0.963) were significant predictors (p < 0.05). In a polyp >22 mm or sessile, sensitivity for differentiating carcinomas from adenomas was 93.5-95.7%. If a polyp demonstrated at least one HRUS finding and at least one texture feature, the specificity for diagnosing carcinoma was increased to 90.6-93.8%.Conclusion: In a GB polyp >10 mm, single and diameter >14 mm were useful for predicting neoplastic polyps. In neoplastic polyps, sessile shape, diameter >22 mm, higher skewness and lower GLCM contrast were useful for predicting carcinoma.Key Points: • Risk of neoplastic polyp is low in <14 mm and multiple polyps • A sessile polyp or >22 mm has increased risk for GB carcinomas • Higher skewness and lower GLCM contrast are predictors of GB carcinoma • HRUS is useful for risk stratification of GB polyps >1 cm.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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