A classification tree approach for pituitary adenomas

• Published in: Human pathology Vol. 43; no. 10; pp. 1627 - 1637
• Main Authors: Righi, Alberto, Agati, Patrizia, Sisto, Andrea, Frank, Giorgio, Faustini-Fustini, Marco, Agati, Raffaele, Mazzatenta, Diego, Farnedi, Anna, Menetti, Federico, Marucci, Gianluca, Foschini, Maria P.
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier Inc 01.10.2012; Elsevier; Elsevier Limited
• Subjects: Abbreviations; Accuracy; Adult; Area Under Curve; Biological and medical sciences; Biomarkers, Tumor - analysis; Biomarkers, Tumor - metabolism; Classification; Confidence intervals; Disease Progression; Endocrinopathies; Female; Humans; Hypothalamus. Hypophysis. Epiphysis (diseases); Investigative techniques, diagnostic techniques (general aspects); Ki-67; Ki-67 Antigen - analysis; Ki-67 Antigen - metabolism; Male; Medical imaging; Medical sciences; Middle Aged; Non tumoral diseases. Target tissue resistance. Benign neoplasms; p53; Pathology; Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques; Pituitary adenoma; Pituitary Neoplasms - classification; Pituitary Neoplasms - metabolism; Pituitary Neoplasms - pathology; Prognosis; ROC Curve; Sensitivity and Specificity; Studies; Tumor Suppressor Protein p53 - analysis; Tumor Suppressor Protein p53 - metabolism; Tumors; Ki-67; Prognosis; Pituitary adenoma; p53; Endocrinopathy; Biological marker; Anatomic pathology; TP53 Gene; Classification; Pituitary diseases; Ki67 antigen; Tree; Tumor suppressor gene

It is difficult to evaluate the recurrence and progression potential of pituitary adenomas at presentation. The World Health Organization classification of endocrine tumors suggests that invasion of the surrounding structures, size at presentation, an elevated mitotic index, a Ki-67 labeling index h...