Literature DB >> 33905276

Ki-67 labeling index and Knosp classification of pituitary adenomas.

Li Yuhan1, Wu Zhiqun1, Tian Jihui1, Pan Renlong1.   

Abstract

The classification of pituitary tumors is frequently updated to optimize guidance for clinical treatment based on current knowledge. To date, the World Health Organization conducts periodic expert review consensus meetings and publishes the results. These include recommendations for the behavior of more aggressive, high Ki-67 index (>3%)pituitary. A high Knosp grade (>3) is associated with a high risk of recurrence. We report an inverse relationship between the Ki-67 labeling index and Knosp grade for functional pituitary adenomas and nonfunctional pituitary adenoma (Spearman correlation coefficient in functional pituitary adenomas r= -0.59, p < .001 n = 75 and r = 0.367, p < .01 n = 168 in nonfunctional pituitary adenoma), and suggest that this results from early diagnosis and treatment before they become aggressive and recurrent. There were few articles analyzing the correlation of Ki-67 labeling index and Knosp classification of pituitary adenomas.Our study showed they were negatively correlated in functional pituitary adenomas and positive correlated in nonfunctional pituitary adenomas.

Entities:  

Keywords:  Ki-67 labeling index; Knosp classification; Pituitary adenomas

Year:  2021        PMID: 33905276     DOI: 10.1080/02688697.2021.1884186

Source DB:  PubMed          Journal:  Br J Neurosurg        ISSN: 0268-8697            Impact factor:   1.596


  6 in total

Review 1.  Prognostic Factors for Recurrence in Pituitary Adenomas: Recent Progress and Future Directions.

Authors:  Liang Lu; Xueyan Wan; Yu Xu; Juan Chen; Kai Shu; Ting Lei
Journal:  Diagnostics (Basel)       Date:  2022-04-13

2.  Analysis of Related Factors of Tumor Recurrence or Progression After Transnasal Sphenoidal Surgical Treatment of Large and Giant Pituitary Adenomas and Establish a Nomogram to Predict Tumor Prognosis.

Authors:  Yike Chen; Feng Cai; Jing Cao; Feng Gao; Yao Lv; Yajuan Tang; Anke Zhang; Wei Yan; Yongjie Wang; Xinben Hu; Sheng Chen; Xiao Dong; Jianmin Zhang; Qun Wu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-12-14       Impact factor: 5.555

3.  Prospective intraoperative and histologic evaluation of cavernous sinus medial wall invasion by pituitary adenomas and its implications for acromegaly remission outcomes.

Authors:  Ahmed Mohyeldin; Laurence J Katznelson; Andrew R Hoffman; Karam Asmaro; Saman S Ahmadian; Mostafa M Eltobgy; Jayakar V Nayak; Zara M Patel; Peter H Hwang; Juan C Fernandez-Miranda
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

4.  Prediction of high infiltration levels in pituitary adenoma using MRI-based radiomics and machine learning.

Authors:  Chao Zhang; Xueyuan Heng; Wenpeng Neng; Haixin Chen; Aigang Sun; Jinxing Li; Mingguang Wang
Journal:  Chin Neurosurg J       Date:  2022-08-12

5.  Prediction of Higher Ki-67 Index in Pituitary Adenomas by Pre- and Intra-Operative Clinical Characteristics.

Authors:  Xuanzhi Wang; Mingwu Li; Xiaofeng Jiang; Fei Wang; Shiying Ling; Chaoshi Niu
Journal:  Brain Sci       Date:  2022-07-28

6.  A Nomogram for Preoperatively Predicting the Ki-67 Index of a Pituitary Tumor: A Retrospective Cohort Study.

Authors:  Xiangming Cai; Junhao Zhu; Jin Yang; Chao Tang; Feng Yuan; Zixiang Cong; Chiyuan Ma
Journal:  Front Oncol       Date:  2021-05-31       Impact factor: 6.244

  6 in total

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