Noninvasive Preoperative Evaluation Research Articles

Preoperative Noninvasive Evaluation of Tumor Budding in Rectal Cancer Using Multiparameter MRI Radiomics

To assess the value of a multiparametric magnetic resonance imaging (MRI)-based model integrating radiomics features with clinical and MRI semantic features for preoperative evaluation of tumor budding (TB) in rectal cancer. A total of 120 patients with pathologically confirmed rectal cancer were retrospectively analyzed. The patients were randomized into training and validation cohorts in a 6:4 ratio. Radiomics features were extracted and selected from preoperative T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and contrast-enhanced T1-weighted imaging (T1CE) sequences, after which the corresponding radiomics score (RS) was calculated, and the radiomics models (T2WI model, DWI model, and T1CE model) were constructed. Logistic regression analysis was selected to develop a combined model integrated RST2WI, RSDWI, RST1CE, and clinical and MRI semantic features. The efficacy of each model in diagnosing TB grade was observed by the receiver operating characteristic (ROC) curve. Decision curve analysis (DCA) was used to assess the clinical benefits of the models. Seven features were extracted and selected from each T2WI, DWI, and T1CE sequence to calculate the corresponding RS and construct the corresponding radiomics model. MRI reported N stagewas an independent risk factor for TB. The area under the ROC curveof the combined model was 0.961 and 0.891 in the training and validation cohorts, respectively. The combined model showed better performance than the other models. DCA showed that the net benefit of the combined model was better than that of the other models in the vast majority of threshold probabilities. A combined model integrating radiomics features and MRI semantic features allows for noninvasive preoperative evaluation of TB grading in patients with rectal cancer.

Novel model based on ultrasound predict axillary lymph node metastasis in breast cancer

BackgroundWhether there is axillary lymph node metastasis is crucial for formulating the treatment plan for breast cancer. Currently, invasive methods are still used for preoperative evaluation of lymph nodes. If non-invasive preoperative evaluation can be achieved, it will effectively improve the treatment plan.ObjectiveConstructed a predict model based on ultrasound examination, which forest axillary lymph node metastasis in breast cancer, and validated this model.MethodPatients admitted to Xiamen First Hospital from April 2018 to August 2021 with complete case data were included in this study. Patients who had undergone breast cancer resection and axillary lymph node dissection or sentinel lymph node biopsy were divided into a training and validation cohort in a 7:3 ratio. In the training cohort, patients were divided into metastatic and non-metastatic groups based on whether axillary lymph nodes had metastasis. The parameters of the two groups were compared, and statistically significant parameters were included in multivariate analysis. Then, a Nomogram model was constructed, named Lymph metastasis predict model (LMPM). Calibration curves, receiver operating curve (ROC), and decision curve analysis (DCA) were plotted between the training and validation cohort, calculate the risk score of each patient, identify the optimal cutoff value, and test the predictive efficacy of LMPM.ResultTwo hundred seventy-three patients were enrolled in final study, the average age 49.7 ± 8.7, training cohort included 191 patients, the diameter of breast cancer, the lymph node peak systolic flow velocity (LNPS) and the cortex area hilum ratio (CH) of lymph node were exist significant difference in metastatic and non-metastatic group. Multivariate analysis showed cancer diameter, LNPS and CH included in LMPM, the cutoff value was 95, the calibration curve, ROC, DCA in training and validation cohort show satisfactory result.ConclusionThe predict model-LMPM, can predict axillary lymph node metastasis in breast cancer, which is useful for developing personalized treatment plans. However, further validation of the model is required by incorporating a larger number of patients.

Preoperative prediction of vessel invasion in locally advanced gastric cancer based on computed tomography radiomics and machine learning.

Vessel invasion (VI) is an important factor affecting the prognosis of gastric cancer (GC), and the accurate determination of preoperative VI for locally advanced GC is of great clinical significance. Traditional methods for the evaluation of VI require postoperative pathological examination. Noninvasive preoperative evaluation of VI is therefore crucial to determine the best treatment strategy. To determine the value of preoperative prediction of gastric VI based on portal venous phase computed tomography (CT) radiomic features and machine-learning models, a retrospective analysis of 296 patients with locally advanced GC confirmed through pathological examination was performed. They were divided into two groups, VI+ (n=213) and VI- (n=83), based on pathological results. Using pyradiomics to extract two-dimensional radiomic features of the portal venous stage of locally advanced GC, data were divided into training (n=207) and validation sets (n=89), with a ratio of 7:3, and three feature selection methods were cascaded and merged. Finally, least absolute shrinkage and selection operator (LASSO) regression was used for feature screening to obtain the optimal feature subset. Four current representative machine-learning algorithms were used to construct the prediction model, the receiver operating characteristic curve was constructed to evaluate the predictive performance of the model, and the area under the curve (AUC), accuracy, sensitivity, and specificity were calculated. The differentiation degree, and the Lauren's and CA199 classifications were independent risk factors for locally advanced GC VI. Pyradiomics extracted 864 quantitative features of portal vein images of locally advanced GC. After filtering out low variance features using R, 236 features remained. Next, 18 features were screened using the LASSO algorithm. Extreme gradient boosting (XGBoost), logistic regression, Gaussian naive Bayes, and support vector machine models were constructed based on the 18 best features screened out of the portal venous CT images of advanced GC and three independent risk factors of GC VI in clinical features predicted the training set AUC values of 0.914, 0.897, 0.880, and 0.814, respectively. The predicted validation set AUC values were 0.870, 0.877, 0.859, and 0.773, respectively. The DeLong test results indicated no statistically significant difference in AUC values between the XGBoost and logistic regression models in the training and validation sets. The four machine-learning models showed high predictive performance. The logistic regression model had the highest AUC value in the validation set (0.877), and the accuracy and F1 score were 77 and 87.6%, respectively. CT radiomic features and machine-learning models based on the portal venous phase can be used as a noninvasive imaging method for the preoperative prediction of VI in locally advanced GC. The logistic regression model exhibited the highest diagnostic performance.

T1 mapping and multimodel diffusion-weighted imaging in the assessment of cervical cancer: a preliminary study.

To evaluate the clinical feasibility of T1 mapping and multimodel diffusion-weighted imaging (DWI) for assessing the histological type, grade, and lymphovascular space invasion (LVSI) of cervical cancer. Eighty patients with cervical cancer and 43 patients with a normal cervix underwent T1 mapping and DWI with 11 b-values (0-2000 s/mm2). Monoexponential, biexponential, and kurtosis models were fitted to calculate the apparent diffusion coefficient (ADC), pure molecular diffusion (D), pseudo-diffusion (D*), perfusion fraction (f), mean diffusivity (MD), and mean kurtosis (MK). Native T1 and DWI-derived parameters (ADCmean, ADCmin, Dmean, Dmin, D*, f, MDmean, MDmin, MKmean, and MKmax) were compared based on histological type, grade, and LVSI status. Native T1 and DWI-derived parameters differed significantly between cervical cancer and normal cervix (all p < 0.05), except D* (p = 0.637). Native T1 and MKmean varied significantly between squamous cell carcinoma (SCC) and adenocarcinoma (both p < 0.05). ADCmin, Dmin, and MDmin were significantly lower while MKmax was significantly higher in the high-grade SCC group than in the low-grade SCC group (all p < 0.05). LVSI-positive SCC had a significantly higher MKmean than LVSI-negative SCC (p < 0.05). Both T1 mapping and multimodel DWI can effectively differentiate cervical cancer from a normal cervix and cervical adenocarcinoma from SCC. Furthermore, multimodel DWI may provide quantitative metrics for non-invasively predicting histological grade and LVSI status in SCC patients. Combined use of T1 mapping and multimodel DWI may provide more comprehensive information for non-invasive pre-operative evaluation of cervical cancer.

Electrocorticography Recorded from Subdural Electrodes and Stereo-Electroencephalography

Epilepsy surgeons often encounter drug-resistant focal epilepsy, which needs to be diagnosed so that the epileptic foci can be identified and the patient treated. When noninvasive preoperative evaluation cannot determine the region of seizure onset or eloquent cortical areas, invasive epileptic video-EEG monitoring using intracranial electrodes needs to be applied. While subdural electrodes have been used to accurately identify epileptogenic foci via electrocorticography for some time, the use of stereo-electroencephalography has recently exploded in Japan, due to its less invasive nature and its better ability to reveal epileptogenic networks. This report describes the underlying concepts, indications, procedures, and contributions to neuroscience of both surgical procedures.

The Role of Three-Dimensional Magnetic Resonance Spectroscopy in Diagnosing and Grading of Gliomas

In patients with suspected cerebral glioma, non-invasive preoperative evaluation of brain tumor grading is important for planning treatment and prognostication. Conventional MRI is an established and useful tool in brain tumor grading, but MRI-based tumor grading may lead to low-grade or high-grade misclassification in some cases. Three-dimensional magnetic resonance spectroscopy (MRS) has been proposed as an alternative modality for grading cerebral glioma.

Coronary revascularization of patients with silent coronary ischemia may reduce the risk of myocardial infarction and cardiovascular death after carotid endarterectomy

BackgroundMajor adverse cardiac events (MACEs) are the primary cause of death after carotid endarterectomy (CEA). We sought to determine whether selective coronary revascularization of CEA patients with asymptomatic coronary ischemia can reduce the risk of MACEs, myocardial infarction (MI), and cardiac death after endarterectomy compared with CEA patients receiving standard cardiac evaluation and care. MethodsTwo groups of patients with no cardiac history or symptoms undergoing elective CEA were compared. Group I: patients enrolled in a prospective study of noninvasive preoperative cardiac evaluation using coronary computed tomography (CT)-derived fractional flow reserve (FFRCT) to detect asymptomatic (silent) coronary ischemia with selective postoperative coronary revascularization. Group II: matched Control patients with standard preoperative cardiac evaluation and no postoperative coronary revascularization. Lesion-specific coronary ischemia in group I was defined as FFRCT ≤ 0.80 distal to coronary stenosis with severe ischemia defined as FFRCT ≤ 0.75. End points included MACEs, cardiac death, MI, cardiovascular (CV) death, stroke, and all-cause death through 3-year follow-up. ResultsGroup I (n = 100) and group II (n = 100) patients were similar in age (68 vs 67 years), gender (65% vs 62% male), comorbidities, and indications for CEA (53% vs 48% symptomatic carotid stenosis). In group I, FFRCT analysis revealed lesion-specific coronary ischemia in 57% of patients, severe coronary ischemia in 44%, left main ischemia in 7%, and multivessel ischemia in 28%. The status of coronary ischemia in group II was unknown. CEA was performed without complications in both groups, and all patients received optimal postoperative medical therapy. In group I, elective coronary revascularization was performed in 33 patients (27 percutaneous coronary intervention; 6 coronary artery bypass grafting) 1 to 3 months after CEA. Group II patients had no elective coronary revascularization. During 3-year follow-up, compared with group II, group I patients had fewer MACEs (4% vs 17%, hazard ratio [HR]: 0.21 [95% confidence interval (CI): 0.07-0.63], P = .004), fewer cardiac deaths (2% vs 9%, HR: 0.20 [95% CI: 0.04-0.95], P = .030), fewer MIs (3% vs 17%, HR: 0.16 [95% CI: 0.05-0.54], P = .001), and fewer CV deaths (2% vs 12%, HR: 0.16 [95% CI: 0.004-0.07], P = .009). There were no significant differences in the rates of stroke or all-cause death. ConclusionsPreoperative diagnosis of silent coronary ischemia with selective coronary revascularization after CEA may reduce the risk of MACEs, cardiac death, MI, and CV death during 3-year follow-up compared with CEA patients receiving standard cardiac evaluation and care.

Analysis of Anatomical Variations of the Main Arteries Branching from the Abdominal Aorta by Multidetector Computed Tomography

Introduction: Embryological development of the aorta being a complex process can lead to a variety of congenital variants. It may result in complications during abdominal laparoscopic and radiological interventions. Prior knowledge can identify the anatomy, which may require special attention at the time of surgery/interventions. Diagnostic imaging with multidetector computed tomography (MDCT) allows accurate and noninvasive preoperative evaluation. To identify and to evaluate the anatomical variation of major arteries branching from the abdominal aorta using MDCT. Material and Methods: Five hundred patients of different age groups referred to the Department of Radiodiagnosis, Dayanand Medical College and Hospital, Ludhiana, for MDCT abdomen were included in the study. It was performed on 128-slice MDCT Siemens Somatom Definition AS scan machine. Results: The results showed that anatomical variation occurs in a high percentage of patients. In the celiac axis, it occurred in 34.6% of cases, out of which the most common variant was a replaced right hepatic artery (3.7%). Celiacomesenteric trunk was observed in 0.2% of patient. Single renal artery was observed (43.2%) while accessory renal artery in 41.6% and early branching in 15.2%. Discussion and Conclusion: Prior knowledge of variations of these vessels can prevent iatrogenic injuries.

The Benefit of Apparent Diffusion Coefficient in Evaluating the Invasiveness of Hepatocellular Carcinoma.

BackgroundThis study aimed to evaluate hepatocellular carcinoma (HCC) invasiveness using the apparent diffusion coefficient (ADC).MethodsEighty-one patients with HCC confirmed by pathology and examined by preoperative magnetic resonance imaging diffusion-weighted imaging from January 2015 to September 2020 were retrospectively analyzed. Clinical and pathological data were recorded. The minimum ADC (ADCmin), average ADC (ADCmean), and the ratio of ADCmean to normal-appearing hepatic parenchyma ADC (ADCnahp) were assessed. The associations between clinical information, ADC value, and HCC invasiveness (microvascular invasion [MVI], tumor differentiation, and Ki-67 expression) were evaluated statistically. Independent risk factors related to HCC invasiveness were screened using binary logistic regression, and the diagnostic efficiency was evaluated by the receiver operating characteristic curve and its area under the curve (AUC) value.ResultsTumor size was related to HCC MVI and tumor differentiation (P < 0.05). HCC MVI was associated with ADCmin, ADCmean, and the ADCmean-to-ADCnahp ratio (all P < 0.05) with AUC values of 0.860, 0.860, and 0.909, respectively. If these were combined with tumor size, the AUC value increased to 0.912. The degree of tumor differentiation was associated with ADCmin, ADCmean, and the ADCmean-to-ADCnahp ratio (all P < 0.05) with AUC values of 0.719, 0.708, and 0.797, respectively. If these were combined with tumor size, the AUC value increased to 0.868. Ki-67 expression was associated with ADCmin, ADCmean, and the ADCmean-to-ADCnahp ratio (all P < 0.05) with AUC values of 0.731, 0.747, and 0.746, respectively. Combined them, the AUC value increased to 0.763.ConclusionsThe findings indicated that the ADC value has significant potential for the non-invasive preoperative evaluation of HCC invasiveness.

Noninvasive evaluation of ovarian endometriosis: a single-center experience

To investigate the relationships of cancer antigen (CA) 125, CA 19-9, prothrombin time (PT), activated partial thromboplastin time (aPTT), thrombin time (TT), fibrinogen (FIB), and D-dimer values with ovarian endometriosis (OEM), and to explore the validation of biomarkers for noninvasive preoperative evaluation of patients with severe OEM. This retrospective case-control study included 413 women with OEM (of whom 143 cases were stage I to II, 139 cases were stage III, and 131 cases were stage IV, respectively) and 158 women without OEM as controls. Subjects' serum CA-125 and CA19-9 levels, and coagulation test results (serum PT, aPTT, and D-dimer values) were evaluated. The serum CA-125, aPTT, FIB and D-dimer levels were statistically different between OEM patients in the stages I to (and) II group and those in the stages III and IV group (P<0.05). However, a statistical difference in CA 19-9 levels and TT was only found between patients with stages III and IV OEM. In receiver operating characteristic (ROC) curve analysis of single indexes, the area under the ROC curve values for CA-125, CA19-9, aPTT, TT, FIB, and D-dimer were 0.953, 0.512, 0.66, 0.576, 0.573, and 0.624, respectively, for diagnosing stage III and stage IV OEM. In ROC curve analysis of combined indexes, the AUC values for aPTT + D-dimer, CA-125 + D-dimer, CA-125 + aPTT and CA-125 + D-dimer + aPTT were 0.672, 0.954, 0.958, and 0.961, respectively. The combined index of CA-125, aPTT, and D-dimer is a valid noninvasive preoperative method for the evaluation of moderate and severe OEM, and may help to decrease the interval between the first complaint and a definitive diagnosis.

Primary application of mean apparent propagator-MRI diffusion model in the grading of diffuse glioma

PurposeTo evaluate the diagnostic -->performance of mean apparent propagator-magnetic resonance imaging (MAP-MRI) in distinguishing the grades of diffuse gliomas. MethodThirty-six patients with pathologically confirmed diffuse gliomas were enrolled in this study. MAP-MRI parameters were measured in the parenchymal area of the tumour: non-Gaussianity (NG), non-Gaussianity axial (NGAx), non-Gaussianity vertical (NGRad), Q-space inverse variance (QIV), return to the origin probability (RTOP), return to the axis probability (RTAP), return to the plane probability (RTPP), and mean square displacement (MSD). Differences in the parameters between any two grades were compared, the characteristics of the parameters for different diffuse glioma grades were analysed, and receiver operating characteristic (ROC) curves were plotted to analyse the diagnostic value of each parameter. ResultsCompared with grade III gliomas, grade II gliomas had lower NG, NGAx and NGRad values. NG, NGAx and NGRad had great area under the ROC curve (AUC) values (0.823, 0.835, and 0.838, P < 0.05). Compared with those of grade IV glioma, the NG, NGAx, NGRad, RTAP and RTOP values for grade II glioma were lower, the QIV values were higher (all P < 0.05). NG, NGAx, NGRad, RTAP, RTOP and QIV had great area under the ROC curve (AUC) values (0.923, 0.929, 0.923,0.793,0.822, and 0.769, P < 0.05). ConclusionsQuantitative MAP-MRI parameters can distinguish grade II and III and grade II and IV gliomas before surgery but not grade III and IV gliomas. Thus, these parameters have clinical guiding value in the noninvasive preoperative evaluation of tumour pathological grading.

Preoperative Flap Surgery Simulation for a Case of Cryptotia Using a 3D Printer

Summary:Cryptotia is a congenital auricular deformity. Common methods of surgical reconstruction involve creating an auricular temporal groove using local flaps and/or a skin graft. However, it can be difficult to determine which method is most suited to the unique 3-dimensional (3D) structure of each cryptotic ear. Here, we showed that creating 3D ear models of a cryptotic ear with a 3D camera and printer and using these models to simulate surgery with two different flap methods (cat’s-ear and square) allowed selection of a reconstruction method that led to good outcomes after the actual surgery. The patient was a 7-year-old girl with left cryptotia. A 3D camera was used to acquire 3D data for the ear. After structural analysis, a home 3D printer was used to print the data into 3D ear models using an elastic material. These models exhibited good plasticity. After subjecting the models to simulated cat’s-ear and square flap surgeries, the cat’s-ear flap method was considered to better reproduce the healthy side of the ear compared with the square flap method for this particular case. Ear morphology during and after the actual surgery closely resembled the model-ear morphology during and after the simulated cat’s-ear flap surgery. We successfully created a full-scale 3D model with good plasticity using a 3D camera and 3D printer. This allowed easy, noninvasive preoperative evaluation and identification of the most suitable operation for the specific case, facilitating easier, more successful surgery.

Features of degenerative mitral valve prolapse in the North East of China: repair characteristics, and short-term follow-up results.

We aimed to assess the clinical and echocardiographic characteristics of patients who underwent surgery for degenerative mitral valve prolapse (MVP) in our center, and its relation to outcomes. We enrolled 117 consecutive patients from North-East China with an echocardiographic diagnosis of MVP related mitral regurgitation (MR) between April 2018 and November 2019. A complexity scoring system was used for valve anatomy, and patients were re-evaluated at 3-6 months after surgery. Most patients (57.3%) were 40-59 years old. Ejection fraction was <60% in one third, and pulmonary hypertension was present in 64.3% of operated patients. Etiology was myxomatous in 58.9%, with flail as main lesion. Leaflet involvement was posterior in 59.8% patients, anterior in 32.5%, bileaflet in 6%, and commissural in 25.6%. Lesion score was intermediate in >50% of patients, and myxomatous lesions scored higher compared to fibroelastic deficiency (FED). Degree of MR left atrial volume and estimated wedge pressure were significantly higher in intermediate and complex lesions. Repair was performed in 93/101 patients (95.8% success rate). No in-hospital major adverse events, nor deaths at follow-up were reported. Residual MR was ≤ mild in 86.7% of patients at follow-up and was associated with FED etiology and complex lesions. Compared to Western countries, in our sample of Chinese population degenerative severe MR occurred in younger patients. The MVP lesion characteristics are similar, can be accurately detected by non-invasive preoperative evaluation, allowing predictable results. Advanced tailored repair techniques allow excellent immediate and short-term results regardless of the underlying complexity.

3.0 T Magnetic Resonance Functional Imaging Quantitative Parameters for Differential Diagnosis of Benign and Malignant Lesions of the Breast.

Objective: To investigate value of quantitative dynamic contrast-enhanced magnetic resonance imaging (MRI) parameters and apparent diffusion coefficient (ADC) value in differential diagnosis of breast benign and malignant lesions, and their correlation with prognostic factors of breast cancer. Methods: The study collected MRI images and clinical data from 232 female patients suspected of breast cancer. Philips INGENIA 3.0T superconducting magnetic resonance scanner was used for imaging examination. Complete pathological data of patients were collected, and the expression of ER, PR, HER-2, and Ki-67 were further investigated. Results: Kep was higher in malignant breast lesion group than that in benign breast lesion group, and ADC value was lower in the former group than that in the latter group (both p < 0.05). The areas under the receiver operating characteristic curves for Kep, ADC, and extravascular volume fraction (Ve) were 0.904 (95% confidence interval [CI]: 0.863-0.945), 0.813 (95% CI: 0.752-0.875), and 0.774 (95% CI: 0.707-0.841), respectively. Furthermore, according to the maximum Youden index, the specificity of Kep and the sensitivity of ADC were high, which were 97.20% and 96.00%, respectively, with a cutoff value of 0.314 and 0.151, respectively. Kep value in ER-positive expression group was significantly higher than that in ER-negative expression group (p < 0.05). Kep value in PR-positive expression group was significantly higher than that in PR-negative expression group (p < 0.05). There was positive correlation between Kep and expression of Ki-67 (p < 0.05). ADC value was negatively correlated with Ki-67 expression (p < 0.05). Conclusion: Quantitative parameters Kep and ADC of 3.0 T MR functional imaging can be used as reference indexes for differential diagnosis of benign and malignant breast lesions and for biological behavior evaluation, indicating potential clinical value for noninvasive preoperative evaluation of breast cancer.

Can Diffusion-Weighted MR Imaging Be Used as a Tool to Predict Extrathyroidal Extension in Papillary Thyroid Carcinoma?

To evaluate whether quantitative diffusion-weighted MR imaging (DWI) with multi-b values can be used as a tool to predict the aggressiveness by using the histological feature of extrathyroidal extension (ETE) in papillary thyroid carcinoma (PTC). 238 patients were pathologically confirmed as PTCs underwent preoperative multi-b value DWI (300, 500, and 800 s/mm2) between January 2015 and December 2017. The patients were divided into three groups according to the degree of ETE: without ETE, minimal ETE, and extensive ETE. The apparent diffusion coefficients (ADCs) were evaluated for three different b values (b = 300 s/mm2, b = 500 s/mm2, and b = 800 s/mm2). The ADC values of the groups with and without ETE, minimal and extensive ETE were compared. The diagnostic relevance of the ADC values in terms of predicting ETE was compared using a receiver operating characteristic analysis. Differences between the areas under the curves (AUCs) were compared by using a Delong test. PTCs with ETE had significantly lower ADC300, ADC500 and ADC800 values than PTCs without ETE (p = 0.001, p < 0.001, and p < 0.001, respectively). The AUC of the mean ADC500 value (0.905) was higher than that of the ADC300 and ADC800 values (0.607 and 0.770, respectively) in differentiating ETE from without ETE (p < 0.001). The cut-off value of ADC500 to discriminate PTCs with and without ETE was determined at 1.407 × 10-3 mm2/s, with sensitivity of 80.7%, specificity of 86.7%, and an AUC of 0.905. The ADC value can be demonstrated an effective tool for evaluating the aggressiveness with the histological feature of ETE in PTC. In particular, ADC value at b = 500 s/mm2 showed the best performance for noninvasive preoperative evaluation of ETE.

Assessing Vascularity of Osseous Spinal Metastases with Dual-Energy CT-DSA: A Pilot Study Compared with Catheter Angiography.

Spine debulking surgery in patients with hypervascular spinal metastasis is associated with massive intraoperative blood loss, but currently, the vascularity of tumor is determined by invasive conventional angiography or dynamic contrast MR imaging. We aimed to investigate the usefulness of noninvasive dual-energy CT-DSA, comparing it with conventional angiography in evaluating the vascularity of spinal metastasis. We conducted a retrospective study from January to December 2018. A total of 15 patients with spinal metastasis undergoing dual-energy CT, conventional DSA, and subsequent debulking surgery were included. CT-DSA images were produced after rigid-body registration and subtraction between CT phases. Qualitative and quantitative assessments of tumor vascularity were conducted. Correlations between CT-DSA and conventional DSA results were evaluated using the Spearman coefficient. The mean enhancement in the estimated tumor volume and surgical blood loss was compared between hypervascular and nonhypervascular groups using the Wilcoxon rank sum test. The CT-DSA and DSA results were strongly correlated, with ρ = 0.87 (P < .001). The DSA and the quantitative enhancement index also showed a strong correlation with ρ = 0.83 (P < .001). Wilcoxon rank sum testing between hypervascular and nonhypervascular CT-DSA groups showed a difference in enhancement indices (P = .0003). The blood loss between the hypervascular and nonhypervascular groups was nonsignificant (P = .09). Dual-energy CT-DSA correlates well with conventional DSA in assessing the vascularity of spinal metastasis. It may serve as a noninvasive preoperative evaluation option before debulking surgery.

DWI and T2-Weighted MRI Volumetry in Resectable Rectal Cancer: Correlation With Lymphovascular Invasion and Lymph Node Metastases.

OBJECTIVE. The purpose of this study was to assess whether MR volumetric data on DW and T2-weighted MR images are correlated with lymphovascular invasion and lymph node metastases in resectable rectal cancer. MATERIALS AND METHODS. This retrospective study consisted of 50 consecutive patients with rectal cancer who underwent radical surgery within 1 week of MRI. The gross tumor volume was determined on both diffusion-weighted and T2-weighted MR images and correlated with pathologic lymphovascular invasion and lymph node metastases using univariate, multivariate, and ROC curve analyses. RESULTS. Both gross tumor volume values showed correlations with lymphovascular invasion (r = 0.750 vs r = 0.710; p < 0.0001) and lymph node metastases (r = 0.780 vs r = 0.755; p < 0.0001). Both values were associated with lymphovascular invasion and lymph node metastases in univariate analysis (all p < 0.0001), whereas only the DWI-based value was an independent risk factor for lymphovascular invasion (odds ratio = 1.207; p = 0.005) and lymph node metastases (odds ratio = 1.420; p = 0.005) in multivariate analysis. Both values could distinguish between N0 and N1, N0 and N1-N2, and N0-N1 and N2 disease (all p < 0.0001) in the Mann-Whitney U test. The area under the ROC curve was higher for the DWI-based value in lymphovascular invasion (0.899 vs 0.877), N0 vs N1 (0.865 vs 0.827), N0 vs N1-N2 (0.934 vs 0.911), and N0-N1 vs N2 (0.932 vs 0.927). CONCLUSION. Tumor volumetry data correlated with both lymphovascular invasion and lymph node metastases in resectable rectal cancer. In particular, the DWI-based gross tumor volume showed the most potential for noninvasive preoperative evaluation of lymphovascular invasion and lymph node metastases.

Enhanced intensity on preoperative double contrast-enhanced sonography as a useful indicator of lymph node metastasis in patients with gastric cancer.

The aim of this study was to investigate the predictive value of enhanced intensity on double contrast-enhanced sonography in assessing lymph node metastasis of gastric cancer. A total of 357 patients with gastric cancer were enrolled in this study. Double contrast-enhanced sonography, in which an oral ultrasound contrast agent is combined with an intravenous contrast agent, was performed preoperatively, and the data were analyzed quantitatively. The predictive ability of enhanced intensity, a quantitative double contrast-enhanced sonographic measure, for lymph node metastasis was evaluated retrospectively. Compared to negative lymph node metastasis cases, the presence of thicker lesions, deeper invasion, poorer differentiation, and higher enhanced intensity were found in positive cases (P< .05). An enhanced intensity cutoff value of 16.91 dB was the best point for balancing the sensitivity and specificity (71.50% and 79.30%, respectively) for prediction of lymph node metastasis, with the highest Youden index of 0.508. The area under the receiver operating characteristic curve was 0.828 (P < .001; 95% confidence interval, 0.786-0.870). In cases in which the lesions were hyperenhanced (enhanced intensity >16.91 dB), the lesions were significantly thicker and had deeper invasion, poorer differentiation, and more positive metastasis findings compared to non-hyperenhanced cases (enhanced intensity ≤16.91 dB; P < .05). On logistic regression analysis, the enhanced intensity of primary tumors and the invasion depth were significantly associated with lymph node metastasis. Double contrast-enhanced sonography with quantitative analysis may be considered a novel alternative imaging modality for noninvasive preoperative evaluation of lymph node metastasis with good reliability.

Clinical characteristics of meningiomas assessed by 11C-methionine and 18F-fluorodeoxyglucose positron-emission tomography

The clinical course of meningioma varies from case to case, despite similar characteristics on magnetic resonance (MR) imaging. Functional imaging including (11)C-methionine and (18)F-fluorodeoxyglucose (FDG) positron-emission tomography (PET) has been widely studied for noninvasive preoperative evaluation of brain tumors. However, few reports have examined correlations between meningiomas and findings on (11)C-methionine and FDG PET. The objective of this study was to clarify the relationship between tumor characteristics and (11)C-methionine and FDG uptake in meningiomas. For 68 meningiomas in 51 cases, (11)C-methionine uptake was evaluated by measuring both mean and maximum tumor/normal (T/N) ratio for the whole area of the tumors. FDG uptake in 44 of those meningiomas was also analyzed. Tumor size was measured volumetrically, and tumor-doubling time was estimated. Histopathological evaluation was performed in 19 surgical cases. Mean and maximum T/N ratios of (11)C-methionine PET were significantly higher in skull-base lesions than in non-skull-base lesions. Correlations of mean and maximum T/N ratio of (11)C-methionine PET with tumor-doubling time, MIB-1 labeling index, microvessel density and World Health Organization grading were not significant. Mean T/N ratio of (11)C-methionine PET correlated significantly with tumor volume according to logarithm regression modeling (P < 0.0001, R = 0.544). However, mean and maximum T/N ratio of FDG-PET correlated with none of the tumor characteristics described above. These results suggest that (11)C-methionine uptake correlates with tumor volume, but not with tumor aggressiveness.

Functional MRI of Sensory Motor Cortex: Comparison Between Finger-to-Thumb and Hand Squeeze Tasks

An important imaging technique that has advanced decision-making for noninvasive preoperative evaluation is functional magnetic resonance imaging (fMRI). Preoperative fMRI imaging based on blood oxygenation level dependent (BOLD) fMRI is routinely used to map a variety of eloquent cortex brain functions such as language, visual, and sensory-motor regions. The purpose of this study was to evaluate the regional volumes of sensory and motor cortex (SMC) activation by two widely used fMRI motor tasks: a simple hand squeeze (HS) versus a more complex finger-to-thumb (FTT) opposition. Ten right-handed (five males; five females) subjects were studied using a block design BOLD fMRI technique at 1.5T. A region of interest analysis was performed in the right and left SMC following a HS and FTT task with the dominant right hand. Results show the total volume of motor and sensory activation for ipsilateral and contralateral areas for the FTT task was statistically larger than the HS task (P= .02). Due to the greater degree of activation of the SMC with the FTT task, we suggest use of this task over the HS task if a patient can adequately perform the more complex FTT task. The greater SMC activation using FTT task compared to the HS task was primarily due to an increase in activation in the post-central sensory cortex. There was less lateralization, and therefore a greater degree of bilateral SMC activation, in the FTT task compared to the HS task. These results show the importance of optimization and fMRI task selection for presurgical SMC mapping.