Literature DB >> 31471063

Whole solid tumour volume histogram analysis of the apparent diffusion coefficient for differentiating high-grade from low-grade serous ovarian carcinoma: correlation with Ki-67 proliferation status.

H M Li1, R Zhang2, W Y Gu3, S H Zhao4, N Lu5, G F Zhang6, W J Peng7, J W Qiang8.   

Abstract

AIM: To investigate whether apparent diffusion coefficient (ADC) histogram parameters based on whole solid tumour volume could differentiate high-grade (HGSOC) from low-grade serous ovarian carcinoma (LGSOC) and to correlate those parameters with the Ki-67 proliferation index.
MATERIALS AND METHODS: One hundred and seven patients with HGSOCs and 19 patients with LGSOCs confirmed at surgery and histology who underwent conventional magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) were analysed retrospectively. ADC histogram parameters (including the mean, standard deviation [SD], 10th, 25th, 50th, 75th, and 90th percentiles, kurtosis, and skewness) were obtained using the whole solid tumour volume region of interest (ROI). The Mann-Whitney U test, Pearson's chi-square test, Fisher's exact test, kappa test, Spearman's correlation, and receiver operating characteristic (ROC) curves were used for statistical analyses.
RESULTS: For ADC histogram parameters, the mean (p<0.001), SD (p=0.003), and all percentiles (10th, 25th, 50th, 75th, and 90th percentile; all p<0.001) were significantly lower in HGSOC than in LGSOC, and the area under the ROC curve (AUC) was 0.717-0.807. Skewness was significantly higher in HGSOC than in LGSOC (p<0.001, AUC = 0.773); however, kurtosis was not significantly different between HGSOC and LGSOC (p=0.140). The 25th and 75th percentiles, SD and 10th percentile, and 75th percentile showed the highest sensitivity of 91.6%, specificity of 79.0%, and accuracy of 88.1%, respectively. All histogram parameters (except for kurtosis) were poorly correlated with the Ki-67 index (|r| = 0.191-0.274, p<0.05).
CONCLUSION: ADC histogram parameters based on whole solid tumour volume can be helpful for differentiating between HGSOC and LGSOC.
Copyright © 2019 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 31471063     DOI: 10.1016/j.crad.2019.07.019

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  9 in total

1.  Apparent diffusion coefficient histogram analysis for differentiating solid ovarian tumors.

Authors:  Renwei Liu; Ruifeng Li; Jinzhi Fang; Kan Deng; Cuimei Chen; Jianhua Li; Zhiqing Wu; Xiaoxu Zeng
Journal:  Front Oncol       Date:  2022-08-01       Impact factor: 5.738

2.  Whole lesion histogram analysis of apparent diffusion coefficient predicts therapy response in locally advanced rectal cancer.

Authors:  Mayra Evelia Jiménez de Los Santos; Juan Armando Reyes-Pérez; Victor Domínguez Osorio; Yolanda Villaseñor-Navarro; Liliana Moreno-Astudillo; Itzel Vela-Sarmiento; Isabel Sollozo-Dupont
Journal:  World J Gastroenterol       Date:  2022-06-21       Impact factor: 5.374

3.  Nomograms of Combining MRI Multisequences Radiomics and Clinical Factors for Differentiating High-Grade From Low-Grade Serous Ovarian Carcinoma.

Authors:  Cuiping Li; Hongfei Wang; Yulan Chen; Chao Zhu; Yankun Gao; Xia Wang; Jiangning Dong; Xingwang Wu
Journal:  Front Oncol       Date:  2022-06-07       Impact factor: 5.738

4.  A Nomogram Combining MRI Multisequence Radiomics and Clinical Factors for Predicting Recurrence of High-Grade Serous Ovarian Carcinoma.

Authors:  Cuiping Li; Hongfei Wang; Yulan Chen; Mengshi Fang; Chao Zhu; Yankun Gao; Jianying Li; Jiangning Dong; Xingwang Wu
Journal:  J Oncol       Date:  2022-05-04       Impact factor: 4.501

5.  The Value of Magnetic Resonance Diffusion-Weighted Imaging and Dynamic Contrast Enhancement in the Diagnosis and Prognosis of Treatment Response in Patients with Epithelial Serous Ovarian Cancer.

Authors:  Pawel Derlatka; Laretta Grabowska-Derlatka; Marta Halaburda-Rola; Wojciech Szeszkowski; Krzysztof Czajkowski
Journal:  Cancers (Basel)       Date:  2022-05-17       Impact factor: 6.575

6.  An analysis of Ki-67 expression in stage 1 invasive ductal breast carcinoma using apparent diffusion coefficient histograms.

Authors:  Maolin Xu; Qi Tang; Manxiu Li; Yulin Liu; Fang Li
Journal:  Quant Imaging Med Surg       Date:  2021-04

Review 7.  Therapeutic Approach to Low-Grade Serous Ovarian Carcinoma: State of Art and Perspectives of Clinical Research.

Authors:  Angiolo Gadducci; Stefania Cosio
Journal:  Cancers (Basel)       Date:  2020-05-23       Impact factor: 6.639

8.  Assessment of renal function using magnetic resonance quantitative histogram analysis based on spatial labeling with multiple inversion pulses.

Authors:  Ping Liang; Shichao Li; Chuou Xu; Jiali Li; Fangqin Tan; Daoyu Hu; Ihab Kamel; Zhen Li
Journal:  Ann Transl Med       Date:  2021-11

Review 9.  Diffusion-Weighted Magnetic Resonance Imaging in Ovarian Cancer: Exploiting Strengths and Understanding Limitations.

Authors:  Tanja Gagliardi; Margaret Adejolu; Nandita M deSouza
Journal:  J Clin Med       Date:  2022-03-10       Impact factor: 4.241

  9 in total

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