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Radiomics model and clinical scale for the preoperative diagnosis of silent corticotroph adenomas

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Journal of Endocrinological Investigation Aims and scope Submit manuscript

Abstract

Objective

Silent corticotroph adenomas (SCAs) are a subtype of nonfunctioning pituitary adenomas that exhibit more aggressive behavior. However, rapid and accurate preoperative diagnostic methods are currently lacking.

Design

The purpose of this study was to examine the differences between SCA and non-SCA features and to establish radiomics models and a clinical scale for rapid and accurate prediction.

Methods

A total of 260 patients (72 SCAs vs. 188 NSCAs) with nonfunctioning adenomas from Peking Union Medical College Hospital were enrolled in the study as the internal dataset. Thirty-five patients (6 SCAs vs. 29 NSCAs) from Fuzhou General Hospital were enrolled as the external dataset. Radiomics models and an SCA scale to preoperatively diagnose SCAs were established based on MR images and clinical features.

Results

There were more female patients (internal dataset: p < 0.001; external dataset: p = 0.028) and more multiple microcystic changes (internal dataset: p < 0.001; external dataset: p = 0.012) in the SCA group. MRI showed more invasiveness (higher Knosp grades, p ≤ 0.001). The radiomics model achieved AUCs of 0.931 and 0.937 in the internal and external datasets, respectively. The clinical scale achieved an AUC of 0.877 and a sensitivity of 0.952 in the internal dataset and an AUC of 0.899 and a sensitivity of 1.0 in the external dataset.

Conclusions

Based on clinical information and imaging characteristics, the constructed radiomics model achieved high preoperative diagnostic ability. The SCA scale achieved the purpose of rapidity and practicality while ensuring sensitivity, which is conducive to simplifying clinical work.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Abbreviations

SCA:

Silent corticotroph adenomas

NFPA:

Nonfunctioning pituitary adenoma

ACTH:

Adrenocorticotropic hormone

MMs:

Multiple microcysts

ICA:

Internal carotid artery

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Funding

This work was supported by the National Key R&D Program of China (2021YFE0114300); CAMS Innovation Fund for Medical Sciences (CIFMS 2021-I2M-1–003); Beijing Municipal Natural Science Foundation (M22013); Key-Area Research and Development Program of Guangdong Province (2021B0101420005); National High-Level Hospital Clinical Research Funding (2022-PUMCH-C-012).

Author information

Author notes

  1. H. Wang, J. Chang, and W. Zhang contributed equally to the present study.

Authors and Affiliations

  1. Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China

    H. Wang, J. Chang, W. Zhang, Y. Fang, S. Jiang, Y. Yao, K. Deng, X. Bao, R. Wang & M. Feng

  2. Department of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China

    S. Li

  3. Department of Neurosurgery, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China

    Y. Fan

  4. Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China

    L. Lu

  5. Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China

    F. Feng

  6. Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Neurospine center, China International Neuroscience Institute, Beijing, China

    H. Wang

  7. Department of Thoracic Surgery, Peking University First Hospital, Beijing, China

    W. Zhang

Authors
  1. H. Wang
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Contributions

HW and WZ contributed equally to the present study. MF initiated the study. FF collected MR images, HW, WZ, and MF performed segmentation. YY, KD, LL, and XB helped collect neurosurgery data and endocrinology data. HW and YF established the model. SL, SJ, and RW wrote the draft. All authors revised the manuscript critically. All authors approved the final version of the manuscript.

Corresponding authors

Correspondence to R. Wang or M. Feng.

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Conflict of interest

We declare that we have no conflicts of interest.

Ethical approval

This retrospective study was approved by the ethical review committee of the Peking Union Medical College Hospital.

Informed consent

The requirement for informed consent was waived because of the retrospective nature of the study.

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Wang, H., Chang, J., Zhang, W. et al. Radiomics model and clinical scale for the preoperative diagnosis of silent corticotroph adenomas. J Endocrinol Invest 46, 1843–1854 (2023). https://doi.org/10.1007/s40618-023-02042-2

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  • DOI: https://doi.org/10.1007/s40618-023-02042-2

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