Your browser doesn't support javascript.
loading
Qualitative imaging features of pancreatic neuroendocrine neoplasms predict histopathologic characteristics including tumor grade and patient outcome.
Yano, Motoyo; Shetty, Anup S; Williams, Greg A; Lancia, Samantha; Trikalinos, Nikolaos A; Hammill, Chet W; Hawkins, William G; Salter, Amber; Chatterjee, Deyali.
Afiliação
  • Yano M; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd. CB 8131, Saint Louis, MO, 63110, USA. yano.motoyo@mayo.edu.
  • Shetty AS; Department of Radiology, Mayo Clinic Arizona, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA. yano.motoyo@mayo.edu.
  • Williams GA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd. CB 8131, Saint Louis, MO, 63110, USA.
  • Lancia S; Department of Surgery, Washington University School of Medicine, St Louis, MO, USA.
  • Trikalinos NA; Section on Statistical Planning and Analysis, Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Hammill CW; Division of Medical Oncology, Department of Internal Medicine, Washington University School of Medicine and Siteman Cancer Center, MO, St Louis, USA.
  • Hawkins WG; Department of Surgery, Washington University School of Medicine, St Louis, MO, USA.
  • Salter A; Department of Surgery, Washington University School of Medicine, St Louis, MO, USA.
  • Chatterjee D; Section on Statistical Planning and Analysis, Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA.
Abdom Radiol (NY) ; 47(12): 3971-3985, 2022 12.
Article em En | MEDLINE | ID: mdl-35166939
ABSTRACT

OBJECTIVES:

To identify PanNEN imaging features associated with tumor grade and aggressive histopathological features.

METHODS:

Associations between histopathological and imaging features of resected PanNEN were retrospectively tested. Histopathologic features included WHO grade, lymphovascular invasion (LVI), growth pattern (infiltrative, circumscribed), and intratumoral fibrosis (mature, immature). Imaging features included size, degree/uniformity of enhancement, progressive enhancement, contour, infiltrative appearance (infiltrativeim), calcifications, cystic components, tumor thrombus, vascular occlusion (VO), duct dilatation, and atrophy. Multinomial logistic regression analyses evaluated the magnitude of associations. Association of variables with outcome was assessed using Cox-proportional hazards regression.

RESULTS:

133 patients were included. 3 imaging features (infiltrativeim, ill-defined contour [contourill], and VO) were associated with all histopathologic parameters and poor outcome. Increase in grade increased odds of contourill by 15.6 times (p = 0.0001, 95% CI 3.8-64.4). PanNEN with VO were 51.1 times (p = 0.0002, 6.5-398.6) more likely to demonstrate LVI. For PanNEN with contourill, infiltrative growth pattern was 51.3 times (p < 0.0001, 9.1-288.4), and fibrosis was 14 times (p = 0.0065, 2.1-93.7) more likely. Contourill was associated with decreased recurrence-free survival (p = 0.0003, HR 18.29, 3.83-87.3) and VO (p = 0.0004, HR6.08, 2.22-16.68) with decreased overall survival.

CONCLUSIONS:

Infiltrativeim, contourill, and VO on imaging are associated with higher grade/histopathological parameters linked to tumor aggression, and poor outcome.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas Idioma: En Ano de publicação: 2022 Tipo de documento: Article