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

Surov, Alexey; Meyer, Hans Jonas; Wienke, Andreas

doi:10.18632/oncotarget.24006

Cited by 75 publications

(12 citation statements)

References 39 publications

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“…The ADC min of stage T2b-T4 cervical cancers was significantly lower than that of stage T1 to T2a cancers, and it was even lower in patients with lymph node metastasis or distant metastasis [22]. In one histopathologic study, the ADC min value of cervical cancer exhibited a negative relationship with Ki-67, the index of cellular proliferation (r = − 0.56, CI = − 0.68−− 0.43, [23]). A meta-analysis among various kinds of tumors also found ADC min had a stronger relationship with Ki-67 compared with ADC mean [24].…”

Section: Discussionmentioning

confidence: 99%

Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy

Zhao

Cao

et al. 2019

BMC Cancer

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BackgroundThe aim was to investigate the prognostic value of MR apparent diffusion coefficients (ADC) using histogram analysis (HA) in predicting disease-free survival (DFS) of cervical cancer after chemo-radiation therapy.MethodsWe retrospectively analyzed 103 women with pathologically proven squamous cell uterine cancer who received chemo-radiation therapy between 2009 and 2013. All patients were followed up for more than 2 years. Pre-treatment MR images were retrieved and imported for HA using an in-house developed software program based on 3D Slicer. Regions of interest of whole tumors were drawn manually on DWI with reference to T2WI. HA features (mean, max, min, 50, 10, 90%, kurtosis, and skewness) were extracted from apparent diffusion coefficient (ADC) maps and compared between the recurrence and non-recurrence groups after the 2-year follow-up. Univariate and multivariate Cox regression analysis was used to correlate ADC HA features and relevant clinical variables (age, grade, maximal diameter of tumor, FIGO stage, SCC-Ag) with DFS.ResultsOne hundred three patients with stage IB-IV cervical cancers were followed up for 2.0–94.6 months (median 48.9 months). Twenty patients developed recurrence within 2 years. In the recurrence group, the min (P = 0.001) and 10% (P = 0.048) ADC values were significantly lower than those of the non-recurrence group. Univariate and multivariate Cox regression analysis revealed that ADCmin (P = 0.006, HR = 0.110) was significantly correlated with DFS.ConclusionPre-treatment volumetric ADCmin in histogram analysis is an independent factor that is correlated with DFS in cervical cancer patients treated with chemo-radiation therapy.

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Section: Discussionmentioning

confidence: 99%

Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy

Zhao

Cao

et al. 2019

BMC Cancer

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“…Of note, a correct oncologic status evaluation allows for the establishment of better therapeutic strategies, with a favourable impact on prognosis as well as survival. In addition, the use of perfusion, spectroscopy, and diffusion MRI modalities can provide essential data about angiogenesis, cell metabolism, and cellularity of cancer lesions [10–12]. Still, histopathological studies are essential to validate the results of PET-CT and MRI exams [13].…”

Section: Diagnostic Imaging and Anatomic Pathology: An Alliance Fomentioning

confidence: 99%

Combining Diagnostic Imaging and Pathology for Improving Diagnosis and Prognosis of Cancer

Schillaci

Scimeca

Toschi

et al. 2019

Contrast Media & Molecular Imaging

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In the era of personalized medicine, the management of oncological patients requires a translational and multidisciplinary approach. During early phases of cancer development, biochemical alterations of cell metabolism occur much before the formation of detectable tumour masses. Current molecular imaging techniques, targeted to the study of molecular kinetics, employ molecular tracers capable of detecting cancer lesions with both high sensitivity and specificity while also providing essential information for both prognosis and therapy. On the contrary, complementary and crucial information is provided by histopathological examination and ancillary techniques such as immunohistochemistry. Thus, the successful collaboration between diagnostic imaging and anatomic pathology can represent a fundamental step in the “tortuous” but decisive path towards personalized medicine.

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“…Second, it may be that the multicomponent perfusion had a great effect on D* (18)(19)(20)(21). Specifically, the bi-exponential model assumes that there is only one type of blood vessel within the voxel, namely the capillaries (22). In biological tissues, each voxel contains many types of blood vessels, such as arteries, veins, arterioles, venules, etc.…”

Section: Discussionmentioning

confidence: 99%

The value of intravoxel incoherent motion imaging in predicting the survival of patients with astrocytoma

Zhu

Zhang

et al. 2020

Acta Radiol

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Background The evaluation of the prognosis of gliomas may have great value in individualized treatment. Purpose To evaluate the value of intravoxel incoherent motion (IVIM) in predicting the survival of patients with astrocytoma and comparing it to apparent diffusion coefficients (ADC). Material and Methods Sixty patients with pathologically confirmed cerebral astrocytomas underwent IVIM scans before any treatment was performed. Patients were divided into death group and survival group according to a two-year follow-up. ADC and quantitative parameters of IVIM including D, D*, and f were measured. Independent sample t test was used to compare the two groups of parameters. The accuracy of each parameter for two-year survival rate was analyzed by receiver operating characteristic (ROC) curve and Kaplan–Meier survival curves. The correlation between quantitative parameters and survival days was analyzed by Pearson correlation analysis. Results The ADC, D*, and f values were statistically significant different between the death and the survival groups ( P < 0.05). The AUC of the ADC, D*, and f were 0.811, 0.858, and 0.892, respectively. The ADC cut-off value of 0.668 × 10−3 mm2/s corresponded to 82.6% sensitivity and 73% specificity. The D* cut-off value of 3.913 × 10−3 mm2/s corresponded to 78.4% sensitivity and 87% specificity. The f cut-off value of 0.487 corresponded to 83.8% sensitivity and 87% specificity. Significant log rank test was performed for each parameter to predict overall survival ( P < 0.05). There was a correlation between ADC ( r = 0.625, P = 0.023), D* ( r = −0.655, P = 0.012), f ( r = −0.725, P = 0.000) and survival days. Conclusion The D* and f values demonstrated great potential in predicting the two-year survival rate for patients with astrocytoma.

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

Cited by 75 publications

References 39 publications

Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy

Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy

Combining Diagnostic Imaging and Pathology for Improving Diagnosis and Prognosis of Cancer

The value of intravoxel incoherent motion imaging in predicting the survival of patients with astrocytoma

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