Whole-Lesion Histogram Analysis of Apparent Diffusion Coefficient for the Assessment of Cervical Cancer

Abstract

Whole-lesion histogram analysis of ADC maps is useful in the assessment of cervical cancer.

Assessment of histological differentiation in gastric cancers using whole-volume histogram analysis of apparent diffusion coefficient maps

“…8 The higher correlation coefficients that were obtained in previous studies may be from selection of the region containing the most aggressive tumor region. 8 The mode, the ADC value that appears most frequently in the ADC histogram, was confirmed as significant in distinguishing cervical cancer from normal tissue by Guan et al as well as in predicting a complete response in locally advanced rectal cancer by Cho et al 18,26 However, there was no significant difference between the various histological grades of gastric cancers. Therefore, the mode likely has few potential applications in assessing histological differentiation in gastric cancers.…”

Rim sign and histogram analysis of apparent diffusion coefficient values on diffusion-weighted MRI in triple-negative breast cancer: Comparison with ER-positive subtype

“…[26] Various studies have found that kurtosis of ADC histograms has implications in evaluating cell differentiation and heterogeneity of measured lesions. [27–31] With respect to cell heterogeneity, Guan et al [27] found that the normal cervix displays significantly lower ADC kurtosis than cervical cancer because of the homogeneity of normal tissues. Shindo et.…”

Apparent diffusion coefficient histogram shape analysis for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy

“…Theoretically, a positive skewness means a histogram curve with a big left shoulder, suggesting a large portion of highly cellular component, while a negative skewness means a histogram curve with a big right shoulder, suggesting a substantial portion of cystic or edematous tissue [ 17 ]. Guan and Lin et al have demonstrated that cervical cancer had a positive skewness while the skewness of normal cervix was much lower and close to 0 [ 5 , 7 ]. Effective treatment results in a gradual disappearance of tumor’s high cellularity and a more homogeneous distribution of ADC values within the tumor, which makes skewness decrease as we have observed in this study.…”

“…Higher kurtosis indicates a sharper peak and wider tails of the distribution of ADC values. Guan et al have demonstrated that kurtosis of normal cervix was significantly lower than that of cervical cancer because normal tissues were relatively more homogeneous [ 5 ]. After receiving effective therapy, ADC values of the tumor tended to be evenly distributed across the range like normal tissues, which made kurtosis go down following therapy.…”

“…Generally speaking, cell morphologic and microstructural heterogeneity of cervical cancer are greater than normal cervix. Shape of the histogram of cervical cancer was significantly different from that of normal cervix [ 5 ]. To our knowledge, there were no reports investigating changes of ADC histogram shape for monitoring cervical cancer response to CCRT.…”