ABSTRACT
PURPOSE: To evaluate the predictive value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) quantitative parameters in treatment response to concurrent chemoradiotherapy (CCRT) for locally advanced cervical squamous cell carcinoma (LACSC). METHODS AND MATERIALS: LACSC patients underwent CCRT had DCE-MRI before (e0) and after 3 days of treatment (e3). Extended Tofts Linear model with a user arterial input function was adopted to generate quantitative measurements. Endothelial transfer constant (Ktrans), reflux rate (Kep), fractional extravascular extracellular space volume (Ve), and fractional plasma volume (Vp) were calculated, and percentage changes ΔKtrans, ΔKep, ΔVe, and ΔVp were computed. The correlations of these measurements with the tumor regression rate were analyzed. The predictive value of these parameters on treatment outcome was generated by the receiver operating characteristic (ROC) curve. Univariate and multivariate logistic regression analyses were conducted to find the independent variables. RESULTS: Ktrans-e0, Kep -e0, ΔKtrans, and ΔVe were positively correlated with the tumor regression rate. Mean values of Ktrans-e0, Ktrans-e3, ΔKtrans, and ΔVe were higher in the non-residual tumor group than residual tumor group and were independent prognostic factors for predicting residual tumor occurrence. Ktrans-e3 showed the highest area under the curve (AUC) for treatment response prediction. CONCLUSIONS: Quantitative parameters at e0 and e3 from DCE-MRI could be used as potential indicators for predicting treatment response of LACSC.
ABSTRACT
BACKGROUND: To testify whether multi-b-values diffusion-weighted imaging (DWI) can be used to ultra-early predict treatment response of concurrent chemoradiotherapy (CCRT) in cervical cancer patients and to assess the predictive ability of concerning parameters. METHODS: Fifty-three patients with biopsy proved cervical cancer were retrospectively recruited in this study. All patients underwent pelvic multi-b-values DWI before and at the 3rd day during treatment. The apparent diffusion coefficient (ADC), true diffusion coefficient (Dslow), perfusion-related pseudo-diffusion coefficient (Dfast), perfusion fraction (f), distributed diffusion coefficient (DDC) and intravoxel diffusion heterogeneity index(α) were generated by mono-exponential, bi-exponential and stretched exponential models. Treatment response was assessed based on Response Evaluation Criteria in Solid Tumors (RECIST v1.1) at 1 month after the completion of whole CCRT. Parameters were compared using independent t test or Mann-Whitney U test as appropriate. Receiver operating characteristic (ROC) curves was used for statistical evaluations. RESULTS: ADC-T0 (p = 0.02), Dslow-T0 (p < 0.01), DDC-T0 (p = 0.03), ADC-T1 (p < 0.01), Dslow-T1 (p < 0.01), ΔADC (p = 0.04) and Δα (p < 0.01) were significant lower in non-CR group patients. ROC analyses showed that ADC-T1 and Δα exhibited high prediction value, with area under the curves of 0.880 and 0.869, respectively. CONCLUSIONS: Multi-b-values DWI can be used as a noninvasive technique to assess and predict treatment response in cervical cancer patients at the 3rd day of CCRT. ADC-T1 and Δα can be used to differentiate good responders from poor responders.
Subject(s)
Chemoradiotherapy/methods , Uterine Cervical Neoplasms/diagnostic imaging , Uterine Cervical Neoplasms/therapy , Adult , Aged , Diffusion Magnetic Resonance Imaging , Female , Humans , Middle Aged , Neoplasm Staging , ROC Curve , Retrospective Studies , Treatment Outcome , Uterine Cervical Neoplasms/pathologyABSTRACT
PURPOSE: This study is aimed to compare magnetic resonance imaging (MRI) parameters and clinical pathological factors (CPF) of residual tumor group with non-residual tumor group in cervical cancer (CC) patients during concurrent chemoradiotherapy (CCRT), and thus to establish a biomarker for individualized treatment strategy. MATERIAL AND METHODS: From May 2014 to November 2015, 164 CC patients were included in this retrospective study. T2-weighted MRI was performed at pre-treatment (week-0), the completion of external radiotherapy (RT) (week-4), and one month after the completion of CCRT, using 3.0T MR scanner with regular pelvic coil. Mean signal intensity and tumor size on T2WI images were measured and calculated for each tumor, and lumbar 4-5 intervertebral disc at week-0 and week-4. All patients subsequently underwent routine follow-up, including periodic clinical and imaging examinations when necessary. Receiver operator characteristics (ROC) analysis were conducted to determine cut-off values. RESULTS: The residual tumor group showed a higher Δ tumor-to-disc signal intensity ratio (ΔTDR) than non-residual tumor group (0.78 ± 0.30 vs. 0.48 ± 0.19, t = 3.42, p < 0.05). The biomarker of combined MRI parameter and CPF showed the highest diagnostic performance than single MRI parameter or CPF alone. CONCLUSIONS: MRI parameter ΔTDR may be an independent prognostic factor for predicting residual tumor occurrence in CC after CCRT treatment. The combination of MRI parameter and CPF can serve as a valuable biomarker to distinguish CC with higher possibility of residual tumor occurrence.
ABSTRACT
PURPOSE: To determine the optimal standardized uptake value (SUV) of (18)F-fluorodeoxyglucose ((18)F-FDG) for positron emission tomography (PET) imaging, at which the PET-defined gross tumor volume (GTVPET) best matches with the pathological volume (GTVPATH) in the cervical cancer. MATERIALS AND METHODS: Ten patients with the cervical cancer who underwent surgery were enrolled in this study. The excised specimens were processed for whole-mount serial sections and H-E staining. The tumor borders were outlined in sections under a microscope, histopathological images were scanned and the GTVPATH calculated. The GTVPET was delineated automatically by using various percentages relative to the maximal SUV and absolute SUV. The optimal threshold SUV was further obtained as the value at which the GTVPET best matched with the GTVPATH. RESULTS: An average of 85 ± 10% shrinkage of tissue was observed after the formalin fixation. The GTVPATH was 13.38 ± 2.80 cm(3) on average. The optimal threshold on percentile SUV and absolute SUV were 40.50% ± 3.16% and 7.45 ± 1.10, respectively. The correlation analysis showed that the optimal percentile SUV threshold was inversely correlated with GTVPATH (p<0.05) and tumor diameter (p<0.05). The absolute SUV was also positively correlated with SUVmax (p<0.05). CONCLUSION: The pathological volume could provide the more accurate tumor volume. The optimal SUV of FDG for PET imaging by use of GTVPATH as standard for cervical cancer target volume delineation was thus determined in this study, and more cases are being evaluated to substantiate this conclusion.
Subject(s)
Fluorodeoxyglucose F18 , Positron-Emission Tomography , Uterine Cervical Neoplasms/diagnosis , Adult , Female , Humans , Middle Aged , Neoplasm Staging , Prospective Studies , Reference Values , Tomography, X-Ray Computed , Tumor Burden , Uterine Cervical Neoplasms/pathologyABSTRACT
Epithelioid hemangioendothelioma (EHE) is a rare and low-grade vascular tumor, which usually occurs in the soft tissue, liver, breast, lung and skeleton. Here we submit a case with EHE of the clival region. A 58-year-old woman was admitted with a medical history of 3 months headache and 1 month visual deterioration. MRI revealed a well-circumscribed mass of 4.0 cm × 3.0 cm with bony invasion. The tumor was subtotally removed in a piecemeal fashion. Histologically, the tumor was composed of epithelioid cells with eosinophilic cytoplasm and intracytoplasmic vacuoles. Immunohistochemically, the tumor cells were positive for the markers CD31, CD34, factor VIII and vimentin. The pathological result was interpretated as EHE of the clival region. EHE is an uncommon vascular tumor, which is rarely seen in the clival region. Definitive diagnosis depends on histopathologic and immunohistochemical features.