2019
DOI: 10.1007/s00234-019-02211-2
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Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI

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Cited by 59 publications
(35 citation statements)
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“…They considered that, compared with the T1-CE sequence model or T2 sequence model, the combination of the T1-CE and T2 sequences model increased the discrimination ability by 4.77% and 6.34%, respectively (38). In addition, in terms of the comparison of the single-sequence model, in the study of Zeynalova et al (39), the result showed that T2-weighted images is better in predicting the consistency of pituitary macroadenoma. Peng et al ( 35) also obtained consistent results, which showed that the T2-weighted images are better than the CE-T1 weighted images and T1 weighted images for the classification of pituitary tumor subtypes.…”
Section: Discussionmentioning
confidence: 99%
“…They considered that, compared with the T1-CE sequence model or T2 sequence model, the combination of the T1-CE and T2 sequences model increased the discrimination ability by 4.77% and 6.34%, respectively (38). In addition, in terms of the comparison of the single-sequence model, in the study of Zeynalova et al (39), the result showed that T2-weighted images is better in predicting the consistency of pituitary macroadenoma. Peng et al ( 35) also obtained consistent results, which showed that the T2-weighted images are better than the CE-T1 weighted images and T1 weighted images for the classification of pituitary tumor subtypes.…”
Section: Discussionmentioning
confidence: 99%
“…Because both T2WI and CE T1WI are associated with cavernous sinus invasion, histopathologic subtypes, tumor consistency, and therapeutic response in pituitary tumors (18,19,21,(29)(30)(31), they were analyzed in our study. Figure 1 shows the flowchart in the process of analysis.…”
Section: Tumor Segmentationmentioning
confidence: 99%
“…Robust pituitary tumour characterization at the time of diagnosis can also inform subsequent surgical planning. A variety of conventional machine learning and deep learning techniques have been used to evaluate macroadenoma consistency, with many models achieving good diagnostic performance on par with that of radiologists 103 105 . This preoperative finding can have surgical implications as soft adenomas are generally amenable to suction curettage upon a transsphenoidal approach, whereas the firm subtype is more difficult to resect and requires ultrasonic aspiration and often a staged transsphenoidal approach 106 , 107 .…”
Section: Diagnosticsmentioning
confidence: 99%