Background The morphological changes seen during treatment with regorafenib represent challenges when evaluating treatment response using RECIST. Computed tomography texture analysis (CTTA) has potential as a non-invasive functional imaging biomarker during treatment with anti-angiogenetic therapies. Purpose To explore changes in three-dimensional tumor CTTA in colorectal liver metastases (CRLM) in a cohort of patients with metastatic colorectal cancer during treatment with regorafenib. Material and Methods Twenty-seven patients with CRLM were treated with regorafenib and evaluated using CTTA. Texture analysis was applied in the standard contrast-enhanced CT performed in the portal-venous phase (PVP-CT) and in two selected scan series derived from a dynamic contrast-enhanced CT (DCE-CT). A total of 269 scan series were analyzed. Results In the unfiltered dataset of the PVP-CT, all texture parameters, except for kurtosis, changed significantly during treatment. In the filtered PVP-CT dataset, the CTTA parameters entropy, uniformity, and standard deviation were markedly associated with overall survival (OS) at spatial scaling factors (SSF) of 1.0– 2.0, but did not change significantly during treatment. Skewness increased significantly during treatment and was evaluated at SSF ≥1.0. In general, the same trends in texture parameter changes were seen when analyzing DCE-CT datasets. However, these changes did not reach the same level of significance. Conclusions In this exploratory study, we demonstrated substantial changes in the texture parameters during treatment with regorafenib, most evident in the unfiltered dataset of the PVP-CT. Some texture parameters showed prognostic association with OS. Texture may potentially help evaluate the treatment response in patients treated with regorafenib.
Introduction: Distant metastases are found in the many of patients with lung cancer at time of diagnosis. Several diagnostic tools are available to distinguish between metastatic spread and benign lesions in the adrenal gland. However, all require additional diagnostic steps after the initial CT. The purpose of this study was to evaluate if texture analysis of CT-abnormal adrenal glands on the initial CT correctly differentiates between malignant and benign lesions in patients with confirmed lung cancer. Materials and methods: In this retrospective study 160 patients with endoscopic ultrasound-guided biopsy from the left adrenal gland and a contrast-enhanced CT in portal venous phase were assessed with texture analysis. A region of interest encircling the entire adrenal gland was used and from this dataset the slice with the largest cross section of the lesion was analyzed individually. Results: Several texture parameters showed statistically significantly difference between metastatic and benign lesions but with considerable between-groups overlaps in confidence intervals. Sensitivity and specificity were assessed using ROC-curves, and in univariate binary logistic regression the area under the curve ranged from 36 % (Kurtosis 0.5) to 69 % (Entropy 2.5) compared to 73 % in the best fitting model using multivariate binary logistic regression. Conclusion:In lung cancer patients with abnormal adrenal gland at imaging, adrenal gland texture analyses appear not to have any role in discriminating benign from malignant lesions.
Patient outcome was used to identify the best functional imaging parameters in patients with metastatic renal cell carcinoma. Taking patient outcome and reproducibility into account, BV, BV and BF provide the most clinically meaningful information, whereas PS seems to be treatment dependent. Standardization of acquisition protocols and post-processing software is necessary for future clinical utilization. Advances in knowledge: Taking patient outcome and reproducibility into account, BV, BV and BF provide the most clinically meaningful information. PS seems to be treatment dependent.
Background Preliminary data showed prognostic impact of contrast-enhanced computed tomography (DCE-CT) identified Blood Volume (BV) in patients with metastatic renal cell carcinoma (mRCC). BV as an independent prognostic factor remains to be assessed. Materials and Methods DCE-CT identified BV was prospectively quantified in patients with mRCC receiving first line therapies, adjusted for International mRCC Database Consortium (IMDC) individual features and treatments, and associated with overall survival (OS), progression-free survival (PFS) and objective response (ORR), using Cox and logistic regression, respectively. Results 105 patients with mRCC were included. Median baseline BV was 32.87 mL × 100 g −1 (range 9.52 to 92.87 mL × 100 g −1 ). BV above median was associated with IMDC favorable risk category ( P = 0.004), metastasis free interval ≥ 1 year ( P = 0.007), male gender ( P = 0.032), normal hemoglobin ( P = 0.040) and normal neutrophils ( P = 0.007), whereas low BV was associated with poor risk IMDC features ( P < 0.05). Patients with high vs. low baseline BV had longer PFS (12.5 vs. 5.6 months, P = 0.015) and longer OS (42.2 vs. 22.4 months, P = 0.001), respectively. In multivariate analysis high baseline BV remained independent favorable for OS (HR 0.49, 95% CI 0.30–0.78, P = 0.003) and PFS (HR 0.64; 95% CI 0.42–0.97, P = 0.036). BV as a continuous variable was also associated with OS in the multivariate analysis (HR 0.98, 95% CI 0.96–1.00, P = 0.017). The estimated concordance index (c-index) was 0.688 using IMDC score and 0.701 when BV was added. Conclusions DCE-CT identified Blood Volume is a new, independent prognostic factor in mRCC, which may improve the prognostic accuracy of IMDC.
Background Our aim was to compare the diagnostic performance of quantitative dual-layer spectral computed tomography (DLSCT) and axillary ultrasound (US) for diagnosing lymph node metastases in breast cancer patients. Methods DLSCT and axillary US were prospectively performed in 70 needle biopsy-verified breast cancer patients. Histopathology and imaging data were available for evaluation in 36 axillae from 34 patients. In each patient, ipsilateral, contralateral, and inguinal lymph nodes (LNs) were semiautomatically segmented, and iodine density, spectral slope, Z effective, virtual non-contrast (VNC), conventional CT HU values, and Δ contrast enhancement (ΔCE, conventional CT HU minus VNC) were measured. Using histopathology as reference, the diagnostic performance of DLSCT and axillary US was compared. Results Of 36 axillae, 23 had metastatic lymph nodes. Compared with non-metastatic LNs, metastatic LNs had significantly different iodine density (p = 0.021), spectral slope (p < 0.001), Z effective (p < 0.001), conventional CT HU values (p < 0.01), and ΔCE (p < 0.01). All DLSCT parameters were significantly different between arterial phase and portal-venous phase (p < 0.001) except for VNC (p = 0.092). ΔCE had the highest diagnostic performance (sensitivity 0.79, specificity 0.92, positive predictive value 0.95, negative predictive value 0.69) with a significantly increased sensitivity compared with conventional CT HU (p = 0.027). There were no significant differences between ΔCE and axillary US for sensitivity (p = 1.000) or specificity (p = 0.320). Conclusions DLSCT is a promising quantitative technique for evaluating LN metastases and could potentially reduce the need for sentinel LN biopsy.
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