JoVE - Journal of Visualized Experiments
JoVE Visualize
Contact Us

Identifying Subgroups with Rapid Tumor Growth Rate in Adult Pituitary Neuroendocrine Tumors: A Comprehensive Analysis of Clinical and Imaging Features

  • 0Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China.
World Neurosurgery +

|

November 28, 2024

|

November 28, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Younger age, T2 heterogeneity, and higher Knosp grade predict rapid tumor growth rate in pituitary neuroendocrine tumors (PitNETs). Combining these factors enhances prediction accuracy for personalized patient treatment.

Area Of Science

  • Endocrinology
  • Neuro-oncology
  • Radiology

Background

  • Pituitary neuroendocrine tumors (PitNETs) exhibit variable growth patterns.
  • Understanding tumor growth rate (TGR) is crucial for effective management.
  • Predictive markers for rapid TGR in PitNETs require further investigation.

Purpose Of The Study

  • To investigate clinical and imaging features associated with PitNET tumor growth rate (TGR).
  • To identify risk factors for rapid TGR in PitNETs.
  • To evaluate the diagnostic accuracy of identified factors for predicting rapid TGR.

Main Methods

  • Tumor volume assessed using magnetic resonance imaging (MRI).
  • Comparison of growth-related parameters across different TGR subgroups.
  • Logistic regression and receiver operating characteristic (ROC) curve analysis to identify risk factors and assess diagnostic accuracy for rapid TGR.

Main Results

  • Factors significantly associated with rapid TGR included age <55 years, T2 heterogeneity on MRI, and Knosp grade ≥3.
  • Multivariate analysis confirmed these factors as independent predictors of rapid TGR.
  • A combined model incorporating age, T2 heterogeneity, and Knosp grade achieved high diagnostic accuracy (AUC=0.834) for predicting rapid TGR.

Conclusions

  • Age, T2 heterogeneity, and Knosp grade are key predictors of TGR in PitNETs.
  • Integration of these factors improves the accuracy of TGR prediction.
  • Understanding TGR aids in tailoring individualized treatment strategies for PitNET patients.

Keywords:

Related Concept Videos

Tumor Progression 02:07

6.2K

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...

Abnormal Proliferation 02:23

4.5K

Under normal conditions, most adult cells remain in a non-proliferative state unless stimulated by internal or external factors to replace lost cells. Abnormal cell proliferation is a condition in which the cell's growth exceeds and is uncoordinated with normal cells. In such situations, cell division persists in the same excessive manner even after cessation of the stimuli, leading to persistent tumors. The tumor arises from the damaged cells that replicate to pass the damage to the...

mTOR Signaling and Cancer Progression 03:03

3.7K

The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...