Differentiation of silent corticotroph pituitary neuroendocrine tumors (PitNETs) from non-functioning PitNETs using kinetic analysis of dynamic MRI

被引:2
作者
Amano, Taishi [1 ]
Masumoto, Tomohiko [2 ]
Watanabe, Daisuke [1 ]
Hoshiai, Sodai [1 ]
Mori, Kensaku [1 ]
Sakamoto, Noriaki [3 ]
Kino, Hiroyoshi [4 ]
Akutsu, Hiroyoshi [5 ]
Nakajima, Takahito [1 ]
机构
[1] Univ Tsukuba Hosp, Dept Diagnost & Intervent Radiol, 2 1 1 Amakubo, Tsukuba, Ibaraki 3058576, Japan
[2] Toranomon Gen Hosp, Dept Diagnost Radiol, Minato ku, Tokyo, Japan
[3] Univ Tsukuba Hosp, Dept Diagnost Pathol, Tsukuba, Ibaraki, Japan
[4] Univ Tsukuba Hosp, Dept Neurosurg, Tsukuba, Ibaraki, Japan
[5] Dokkyo Med Univ, Dept Neurosurg, Tochigi, Japan
关键词
Magnetic resonance imaging; Dynamic contrast enhancement; Pituitary neuroendocrine tumor; Silent corticotroph pituitary neuroendocrine tumor; CONTRAST-ENHANCED MRI; ANGIOGENESIS; ADENOMAS; DIAGNOSIS;
D O I
10.1007/s11604-023-01420-3
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
PurposeSilent corticotroph pituitary adenomas (SCAs)/pituitary neuroendocrine tumors (PitNETs) are common non-functioning pituitary adenomas (NFAs)/PitNETs with a clinically aggressive course. This study aimed to investigate the ability of time-intensity analysis of dynamic magnetic resonance imaging (MRI) for distinguishing adrenocorticotropic hormone (ACTH)-positive SCAs and ACTH-negative SCAs from other NFAs.Materials and methodsWe retrospectively evaluated the dynamic MRI findings of patients with NFAs. The initial slope of the kinetic curve (slope(ini)) obtained by dynamic MRI for each tumor was analyzed using a modified empirical mathematical model. The maximum slope of the kinetic curve (slope(max)) was obtained by geometric calculation.ResultsA total of 106 patients with NFAs (11 ACTH-positive SCAs, 5 ACTH-negative SCAs, and 90 other NFAs) were evaluated. The kinetic curves of ACTH-positive SCAs had significantly lesser slope(ini) and slope(max) compared with ACTH-negative SCAs (P = 0.040 and P = 0.001, respectively) and other NFAs (P = 0.018 and P = 0.035, respectively). Conversely, the slope(ini) and slope(max) were significantly greater in ACTH-negative SCAs than in NFAs other than ACTH-negative SCAs (P = 0.033 and P = 0.044, respectively). In receiver operating characteristic analysis of ACTH-positive SCAs and other NFAs, the area under the curve (AUC) values for slope(ini) and slope(max) were 0.762 and 0748, respectively. In predicting ACTH-negative SCAs, the AUC values for slope(ini) and slope(max) were 0.784 and 0.846, respectively.ConclusionsDynamic MRI can distinguish ACTH-positive SCAs and ACTH-negative SCAs from other NFAs.
引用
收藏
页码:938 / 946
页数:9
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