scholarly journals Associations between apparent diffusion coefficient (ADC) and KI 67 in different tumors: a meta-analysis. Part 2: ADCmin

Oncotarget ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 8675-8680 ◽  
Author(s):  
Alexey Surov ◽  
Hans Jonas Meyer ◽  
Andreas Wienke
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Meta Analysis ◽  
Ki 67 ◽  
Apparent Diffusion

scholarly journals Pretreatment apparent diffusion coefficient cannot predict histopathological features and response to neoadjuvant radiochemotherapy in rectal cancer. A Meta-Analysis

2021 ◽  
Author(s):  
Alexey Surov ◽  
Maciej Pech ◽  
Maciej Powerski ◽  
Katja Woidacki ◽  
Andreas Wienke
Keyword(s):  
Rectal Cancer ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Treatment Response ◽  
Meta Analysis ◽  
Neoadjuvant Radiochemotherapy ◽  
Ki 67 ◽  
Kras Status ◽  
Apparent Diffusion ◽  
Adc Values

Aim: Our purpose was to perform a systemic literature review and meta-analysis regarding use of apparent diffusion coefficient (ADC) for prediction of histopathological features in rectal cancer (RC) and to proof if ADC can predict treatment response to neoadjivant radiochemotherapy in RC. Methods: MEDLINE library, Cochrane and SCOPUS database were screened for associations between ADC and histopathology and/or treatment response in RC up to June 2020. Authors, year of publication, study design, number of patients, mean value and standard deviation of ADC were acquired. The methodological quality of the collected studies was checked according to the QUADAS 2 instrument. The meta-analysis was undertaken by using RevMan 5.3 software. DerSimonian and Laird random-effects models with inverse-variance weights were used to account the heterogeneity between the studies. Mean ADC values including 95% confidence intervals were calculated. Results: Overall, 37 items (2015 patients) were included. ADC values of tumors with different T and N stages and grades overlapped strongly. ADC cannot distinguish RC with high and low CEA level. Regarding KRAS status, ADC cannot discriminate mutated and wild type RC. ADC did not correlate significantly with expression of VEGF and HIF 1a. ADC correlates with Ki 67, calculated correlation coefficient: -0.52. The ADC values in responders and non-responders overlapped significantly. Conclusion: ADC correlates moderately with expression of Ki 67 in RC. ADC cannot discriminate tumor stages, grades and KRAS status in RC. ADC cannot predict therapy response to neoadjuvant radiochemotherapy in RC.

scholarly journals Apparent diffusion coefficient cannot discriminate metastatic and non-metastatic lymph nodes in rectal cancer: a meta-analysis

2021 ◽  
Author(s):  
Alexey Surov ◽  
Hans-Jonas Meyer ◽  
Maciej Pech ◽  
Maciej Powerski ◽  
Jasan Omari ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Lymph Nodes ◽  
Meta Analysis ◽  
Adc Value ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph ◽  
Apparent Diffusion ◽  
Adc Values

Abstract Background Our aim was to provide data regarding use of diffusion-weighted imaging (DWI) for distinguishing metastatic and non-metastatic lymph nodes (LN) in rectal cancer. Methods MEDLINE library, EMBASE, and SCOPUS database were screened for associations between DWI and metastatic and non-metastatic LN in rectal cancer up to February 2021. Overall, 9 studies were included into the analysis. Number, mean value, and standard deviation of DWI parameters including apparent diffusion coefficient (ADC) values of metastatic and non-metastatic LN were extracted from the literature. The methodological quality of the studies was investigated according to the QUADAS-2 assessment. The meta-analysis was undertaken by using RevMan 5.3 software. DerSimonian, and Laird random-effects models with inverse-variance weights were used to account the heterogeneity between the studies. Mean DWI values including 95% confidence intervals were calculated for metastatic and non-metastatic LN. Results ADC values were reported for 1376 LN, 623 (45.3%) metastatic LN, and 754 (54.7%) non-metastatic LN. The calculated mean ADC value (× 10−3 mm2/s) of metastatic LN was 1.05, 95%CI (0.94, 1.15). The calculated mean ADC value of the non-metastatic LN was 1.17, 95%CI (1.01, 1.33). The calculated sensitivity and specificity were 0.81, 95%CI (0.74, 0.89) and 0.67, 95%CI (0.54, 0.79). Conclusion No reliable ADC threshold can be recommended for distinguishing of metastatic and non-metastatic LN in rectal cancer.

Differentiation of brain metastases originating from lung and breast cancers using apparent diffusion coefficient histogram analysis and the relation of histogram parameters with Ki-67

2021 ◽  
pp. 197140092110490
Author(s):  
Mustafa Bozdağ ◽  
Ali Er ◽  
Sümeyye Ekmekçi
Keyword(s):  
Lung Cancer ◽  
Diffusion Coefficient ◽  
Brain Metastases ◽  
Apparent Diffusion Coefficient ◽  
Roc Analysis ◽  
Small Cell ◽  
Histogram Analysis ◽  
Small Cell Lung ◽  
Ki 67 ◽  
Apparent Diffusion

Purpose A fast, reliable and non-invasive method is required in differentiating brain metastases (BMs) originating from lung cancer (LC) and breast cancer (BC). The aims of this study were to assess the role of histogram analysis of apparent diffusion coefficient (ADC) maps in differentiating BMs originated from LC and BC, and then to investigate further the association of ADC histogram parameters with Ki-67 index in BMs. Methods A total of 55 patients (LC, N = 40; BC, N = 15) with BMs histopathologically confirmed were enrolled in the study. The LC group was divided into small-cell lung cancer (SCLC; N = 15) and non-small-cell lung cancer (NSCLC; N = 25) groups. ADC histogram parameters (ADCmax, ADCmean, ADCmin, ADCmedian, ADC10, ADC25, ADC75 and ADC90, skewness, kurtosis and entropy) were derived from ADC maps. Mann–Whitney U-test, independent samples t-test, receiver operating characteristic (ROC) analysis and Spearman correlation analysis were used for statistical assessment. Results ADC histogram parameters did not show significant differences between LC and BC groups ( p > 0.05). Subgroup analysis showed that various ADC histogram parameters were found to be statistically lower in the SCLC group compared to the NSCLC and BC groups ( p < 0.05). ROC analysis showed that ADCmean and ADC10 for differentiating SCLC BMs from NSCLC, and ADC25 for differentiating SCLC BMs from BC achieved optimal diagnostic performances. Various histogram parameters were found to be significantly correlated with Ki-67 ( p < 0.05). Conclusion Histogram analysis of ADC maps may reflect tumoural proliferation potential in BMs and can be useful in differentiating SCLC BMs from NSCLC and BC BMs.

scholarly journals Apparent diffusion coefficient can predict therapy response of hepatocellular carcinoma to transcatheter arterial chemoembolization

2021 ◽  
Author(s):  
Ralph Drewes ◽  
Constanze Heinze ◽  
Maciej Pech ◽  
Maciej Powerski ◽  
Katja Woidacki ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Transcatheter Arterial Chemoembolization ◽  
Meta Analysis ◽  
Therapy Response ◽  
Adc Value ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Arterial Chemoembolization

Aim: The goal of this meta-analysis was to assess the apparent diffusion coefficient (ADC) as a pre- and posttreatment (ΔADC) predictive imaging biomarker of response to transcatheter arterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC). Methods: SCOPUS database, EMBASE database and MEDLINE library were scanned for connections between pre- and posttreatment ADC values of HCC and response to TACE. Six studies qualified for inclusion. The following parameters were collected: authors, publication year, study design, number of patients, drugs for TACE, mean ADC value, standard deviation, measure method, b-values and Tesla-strength. The QUADAS-2 instrument was employed to check the methodological quality of each study. The meta-analysis was performed by utilizing RevMan 5.3 software. DerSimonian and Laird random-effects models with inverse-variance were used to regard heterogeneity. Mean ADC values and 95% confidence intervals were computed. Results: Six studies (n=271 patients with 293 HCC nodules) were included. The pretreatment mean ADC in the responder group was 1.20 x 10-3 mm2/s (0.98, 1.42) and 1.14 x 10-3 mm2/s (0.89, 1.39) in the non-responder group. The analysis of post TACE ADC value changes (ΔADC) revealed a threshold of ≥ 20% to identify treatment responders. No suitable pretreatment ADC threshold to predict therapy response or discriminate between responders and non-responders before therapy could be discovered. Conclusion: ΔADC can facilitate early objective response evaluation through post-therapeutic ADC alterations ≥ 20%. Pretreatment ADC cannot predict response to TACE.

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