ArticleClinical neuroradiology2022
Apparent Diffusion Coefficient Histogram Analysis for the Preoperative Evaluation of Ki-67 Expression in Pituitary Macroadenoma.
Article in Clinical neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 22 citations in OpenAlex.
- Magnetic resonance imaging signal variation for the effective quantitative evaluation of treatment response to neoadjuvant immunotherapy of osteosarcoma: a comparative study with Response Evaluation Criteria in Solid Tumors version 1.1.Quantitative imaging in medicine and surgery · 2026Article
- Histogram analysis based on contrast-enhanced T1-weighted imaging in pituitary macroadenomas: relation to histological subtype and expression.Quantitative imaging in medicine and surgery · 2026Article
- Arterial phase CT radiomics for non-invasive prediction of Ki-67 proliferation index in pancreatic solid pseudopapillary neoplasms.Abdominal radiology (New York) · 2025Article
- Nomogram prediction of molecular characteristics in WHO grade 3-4 diffuse gliomas based on fractal analysis and VASARI features.Scientific reports · 2025Article
- Sinonasal adenoid cystic carcinoma: preoperative apparent diffusion coefficient histogram analysis in prediction of prognosis and Ki-67 proliferation status.Japanese journal of radiology · 2025Article
- Concomitant Prediction of the Ki67 and PIT-1 Expression in Pituitary Adenoma Using Different Radiomics Models.Journal of imaging informatics in medicine · 2025Article
- ADC histogram analysis of tumor-infiltrating CD8+ T cell levels in meningioma.Neurosurgical review · 2025Article
- Multimodal MRI radiomics based on habitat subregions of the tumor microenvironment for predicting risk stratification in glioblastoma.PloS one · 2025Article
- Whole-tumor histogram analysis of postcontrast T1-weighted and apparent diffusion coefficient in predicting the grade and proliferative activity of adult intracranial ependymomas.Neuroradiology · 2024Article
- Assessment of Ki-67 expression levels in IDH-wildtype glioblastoma using logistic regression modelling of VASARI features.Neurosurgical review · 2023Article
- The value of an apparent diffusion coefficient histogram model in predicting meningioma recurrence.Journal of cancer research and clinical oncology · 2023Article
- Whole-tumor histogram analysis of multi-parametric MRI for differentiating brain metastases histological subtypes in lung cancers: relationship with the Ki-67 proliferation index.Neurosurgical review · 2023Article
- Differentiating angiomatous meningioma from atypical meningioma using histogram analysis of apparent diffusion coefficient maps.Quantitative imaging in medicine and surgery · 2023Article
- Apparent diffusion coefficient values effectively predict cell proliferation and determine oligodendroglioma grade.Neurosurgical review · 2023Article
- The value of whole-volume apparent diffusion coefficient histogram analysis in preoperatively distinguishing intracranial solitary fibrous tumor and transitional meningioma.Frontiers in oncology · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo explore the value of an apparent diffusion coefficient (ADC) histogram in predicting the Ki-67 proliferation index in pituitary macroadenomas. MATERIAL AND
methodsThis retrospective study analyzed the pathological and imaging data of 102 patients with pathologically confirmed pituitary macroadenoma. Immunohistochemistry staining was used to assess Ki-67 expression in tumor tissue samples, and a high Ki-67 labeling index was defined as 3%. The ADC images of the maximum slice of tumors were selected and the region of interest (ROI) of each slice was delineated using the MaZda software (version 4.7, Technical University of Lodz, Institute of Electronics, Łódź, Poland) and analyzed by ADC histogram. Histogram characteristic parameters were compared between the high Ki-67 group (n = 42) and the low Ki-67 group (n = 60). The important parameters were further analyzed by receiver operating characteristic (ROC).
resultsThe mean value, and the 1st, 10th, 50th, 90th, and 99th percentiles were found to be negatively correlated with Ki-67 expression (all P < 0.05), with correlation coefficients of -0.292, -0.352, -0.344, -0.289, -0.253 and -0.267, respectively. The mean ADC and the 1st, 10th, 50th, 90th, and 99th quantiles extracted from the histogram were significantly lower in the high Ki-67 group than in the low Ki-67 group (all P < 0.05). The area under the ROC curve was 0.699-0.720; however, there were no significant between-group differences in variance, skewness and kurtosis (all P > 0.05).
conclusionAn ADC histogram can be a reliable tool to predict the Ki-67 proliferation status in patients with pituitary macroadenomas.
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