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MRI and Trouillas' grading system of pituitary tumors: the usefulness of T2 signal intensity volumetric values.
Calandrelli, Rosalinda; Pilato, Fabio; D'Apolito, Gabriella; Schiavetto, Stefano; Gessi, Marco; D'Alessandris, Quintino Giorgio; Lauretti, Liverana; Gaudino, Simona.
Afiliación
  • Calandrelli R; Radiology and Neuroradiology Unit, Department of Imaging, Radiation Therapy and Hematology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168, Rome, Italy. rosalinda.calandrelli@policlinicogemelli.it.
  • Pilato F; Research Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine and Surgery, Campus Bio-Medico University, Via Alvaro del Portillo, 21, 00128, Rome, Italy.
  • D'Apolito G; Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Roma, Italia.
  • Schiavetto S; Radiology and Neuroradiology Unit, Department of Imaging, Radiation Therapy and Hematology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168, Rome, Italy.
  • Gessi M; Radiology and Neuroradiology Unit, Department of Imaging, Radiation Therapy and Hematology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168, Rome, Italy.
  • D'Alessandris QG; Neuropathology Unit, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168, Rome, Italy.
  • Lauretti L; Department of Neurosurgery, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Largo A. Gemelli, 8, 00168, Rome, Italy.
  • Gaudino S; Department of Neurosurgery, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Largo A. Gemelli, 8, 00168, Rome, Italy.
Neuroradiology ; 65(11): 1567-1578, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37233819
ABSTRACT

PURPOSE:

To classify pituitary macroadenomas according to the Trouillas' grading system; to compare this grading system with T2 values of volumetric signal intensity to determine T2 values able to predict the final grade.

METHODS:

A total of 106 patients with macroadenomas were grouped according to the grading system score combining proliferation and invasiveness criteria of Trouillas' classification. Normalized volumetric signal intensity values were extracted from coronal T2-weighted images (nT2mean, nT2Max, nT2min) and were compared with the final grading score system.

RESULTS:

Thirty-three patients were in grade 1a (non-invasive, non-proliferative tumors), 17 patients in grade 1b (non-invasive, proliferative tumors), 36 patients in grade 2a (invasive, non-proliferative tumors), and 20 patients in grade 2b (invasive, proliferative tumors). No patient was in grade 3 (metastatic tumors). nT2Max and nT2min were the best quantitative values to discriminate invasive from non-invasive grades; in invasive grades, nT2Max intensity values were higher, and nT2min intensity values were lower than in non-invasive grades. Receiver operating characteristic analysis of nT2 values showed that nT2min values had a better diagnostic performance than nT2Max values because they allowed differentiating with a moderate accuracy invasive tumors (2a or 2b grades) from both non-invasive proliferative tumors (1b) and non-invasive-non proliferative tumors (1a) (2a vs 1b AUCnT2min = 0.78, 2b vs 1b AUCnT2min = 0.72, 2a vs 1a AUCnT2min = 0.72, 2b vs 1a AUCnT2min = 0.69).

CONCLUSION:

Volumetric nT2Max and nT2min values of MRI might be practical and non-invasive markers for assessing tumor invasiveness although nT2 min signal intensity values have more effects in discriminating tumor's invasive behavior.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Hipofisarias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuroradiology Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Hipofisarias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuroradiology Año: 2023 Tipo del documento: Article País de afiliación: Italia