摘要:目的: 探討64排多層螺旋CT(MSCT)和血清淀粉樣蛋白A(serum amyloid A protein, SAA)聯合術前評估直腸癌在腫瘤分期診斷中的作用。 方法 :納入經根治術治療的直腸癌患者通過MSCT掃描進行評估,同時取患者靜脈血測量術前SAA水平,行MSCT分期與MSCT和SAA聯合分期以比較二者的診斷價值。 結果 :本研究納入患者121例。MSCT檢測T分期的準確度為851%。在評估淋巴結轉移方面,MSCT和SAA聯合分期的準確度為760%,明顯高于MSCT分期(595%, 〖WTBX〗P lt;0001)。MSCT正確判斷所有遠處轉移。同單一的MSCT檢測相比,MSCT和SAA聯合評估能顯著的提高術前TNM分期的準確率(785% vs. 636%,〖WTBX〗P =0011)。 結論 :MSCT聯合SAA檢測比單一的MSCT檢測顯著提高了直腸癌術前腫瘤分期和淋巴結轉移方面的準確度。這種新的術前評估方法的為腫瘤進展評估和術前治療決策提供了更加可靠的信息。Abstract: Objective: To determine the role of combinative assessment of 64 multislice spiral computer tomography (MSCT) and serum amyloid A protein (SAA) in preoperative rectal cancer staging. Methods : Enrolled consecutive rectal cancer patients undergoing curative surgery were evaluated by MSCT scan. Meanwhile venous blood specimens were taken to measure preoperative SAA concentration. Both MSCT staging and MSCT plus SAA staging were performed to compare with each other. Results : The study population consisted of 121 patients. The accuracy of T staging was 851% for MSCT. The accuracy in evaluating lymph nodes metastases was 760% for MSCT plus SAA compared with 595% for MSCT alone (〖WTBX〗P lt;0001). All the distant metastases were correctly detected by MSCT. The method combining MSCT with SAA led to significant improvement on preoperative TNM staging compared with MSCT alone (785% vs. 636%, 〖WTBX〗P =0011). Conclusion : MSCT plus SAA showed greater accuracy than MSCT alone in rectal cancer staging and lymph node metastases. This novel strategy of preoperative evaluation appears to provide more accurate information on tumor progression and preoperative therapy decisionmaking.
Clinically, non-contrastive computed tomography (NCCT) is used to quickly diagnose the type and area of ??stroke, and the Alberta stroke program early computer tomography score (ASPECTS) is used to guide the next treatment. However, in the early stage of acute ischemic stroke (AIS), it’s difficult to distinguish the mild cerebral infarction on NCCT with the naked eye, and there is no obvious boundary between brain regions, which makes clinical ASPECTS difficult to conduct. The method based on machine learning and deep learning can help physicians quickly and accurately identify cerebral infarction areas, segment brain areas, and operate ASPECTS quantitative scoring, which is of great significance for improving the inconsistency in clinical ASPECTS. This article describes current challenges in the field of AIS ASPECTS, and then summarizes the application of computer-aided technology in ASPECTS from two aspects including machine learning and deep learning. Finally, this article summarizes and prospects the research direction of AIS-assisted assessment, and proposes that the computer-aided system based on multi-modal images is of great value to improve the comprehensiveness and accuracy of AIS assessment, which has the potential to open up a new research field for AIS-assisted assessment.
Objective To determine the influence and significance of combinative assessment of 64 multi-slice spiral computer tomography (MSCT) with serum amyloid A protein (SAA) or fibrinogen (FIB) on the selection of operative procedures of rectal cancer under the multidisciplinary team. Methods Prospectively enrolled 240 patients diagnosed definitely as rectal cancer at West China Hospital of Sichuan University from February to June 2009 were randomly assigned into two groups. In one group named MSCT+SAA group, both MSCT and SAA combinative assessment were made for the preoperative evaluation. In another group named MSCT+FIB group, both MSCT and FIB combinative assessment were made for preoperative evaluation. Furthermore, the preoperative staging and predicted operation procedures were compared with postoperative pathologic staging and practical operation procedures, respectively, and the relationship between the choice of operation procedures and clinicopathologic factors was analyzed. Results According to the criteria, 234 patients were actually included into MSCT+SAA group (n=118) and MSCT+FIB group (n=116). The baseline characteristics of two groups were statistically similar (Pgt;0.05). For MSCT+SAA group, the accuracies of preoperative staging T, N, M and TNM were 72.9%, 83.1%, 100% and 80.1%, respectively. For MSCT+FIB group, the accuracies of preoperative staging T, N, M and TNM were 68.1%, 75.0%, 100% and 74.1%, respectively, and there was not a statistically significant difference (Pgt;0.05). There was also not a statistically significant difference of the accuracy of prediction to operative procedures in two groups (99.6% vs. 96.6%, Pgt;0.05). The preoperative T staging (P＜0.001), N staging (P＜0.001), TNM staging (P＜0.001), serum level of SAA (P＜0.001), serum level of FIB (Plt;0.001) and distance of tumor to the dentate line (P＜0.05) were associated to the operative procedures. Conclusions Combinative assessment of MSCT and FIB could improve the accuracy of preoperative staging and operative procedures prediction, however, it may be not superior to MSCT plus SAA.
Objective To determine the influence of combinative assessment of 64 multi-slice spiral computer tomography (MSCT) and serum amyloid A protein (SAA ) on the selection of operative procedures in lower rectal cancer.MethodsProspectively enrolled 130 patients diagnosed definitely as lower rectal cancer (distance of tumor to the dentate line ≤7 cm) at West China Hospital of Sichuan University from July 2007 to September 2008 were randomly assigned into two groups with 65 participants, respectively. In one group named MSCT+SAAgroup, both 64 MSCT and SAA combinative assessment were made for the preoperative evaluation. In another group named MSCT group, only the preoperative MSCT was made. Furthermore, the preoperative staging and predicted operation procedures were compared with postoperative pathologic staging and practical operation program, respectively.ResultsAccording to the criteria, 119 patients with colorectal cancer were actually included into MSCT+SAA group (n=58) and MSCT group (n=61). The baselines characteristics of two groups were basically identical. For MSCT+SAAgroup, the accuracies of preoperative staging T, N, M and TNM were 89.66%, 79.31%, 100% and 77.59%, respectively; For MSCT group, the corresponding rates were 86.89%, 70.49%, 100% and 65.57%, respectively. There was a statistically significant difference of the accuracy of prediction to operative procedures in two groups (93.10% vs. 80.33%, P=0.041). The clinical staging (P=0.001), preoperative T staging (P=0.000), M staging (P=0.016), TNM staging (P=0.013) and serum level of SAA (P=0.029) were related to the selection of operative procedures when analyzing the relationship between the operative procedures and multiple clinicopathologic factors in lower rectal cancer. ConclusionCombinative assessment of 64 MSCT and SAA could improve the accuracy of preoperative staging, thus provide higher predictive coincidence rate to operative procedures for surgeon.
This paper proposes a novel metal artifact reduction (MAR) algorithm for dental implants in kilovoltage computed tomography (kVCT) using megavoltage cone-beam computer tomography (MVCBCT). Firstly, two CT images were derived by scanning patient with dental implants using kVCT and MVCBCT. Metal image was derived by thresholding segmentation in kVCT. MVCBCT and kVCT images were fused to generate prior image which was forward projected to get surrogate sinogram of metal trace. The corrected image was generated by filtered backprojection (FBP) reconstruction in corrected sinogram. The results of proposed algorithm were compared with other frequently-used metal artifact reduction algorithm, such as normalized MAR (NMAR), normalized MAR using MVCBCT prior images (NMAR-MV), and linear interpolation MAR (LIMAR). The normalized root mean square deviation (NRMSD) and mean absolute deviation (MAD) were computed. The experiment showed that the proposed method removed serious metal artifacts without introducing new artifacts. The values of NRMSD and MAD for proposed method were the minimum in all methods. The values of NRMSD for NMAR, NMAR-MV, LIMAR and the proposed method were 21.0%, 22.1%, 41.9% and 17.0% respectively. And MAD values of them were 232, 235, 553, 205 HU, respectively. In conclusion, the proposed metal artifact reduction algorithm can successfully suppress metal artifacts for dental implants, and greatly improve the quality of CT image.
ObjectiveTo investigate the value of chest high-resolution computed tomography (HRCT) score in evaluating the severity of hip fracture-induced early acute lung injury (ALI) in the elderly patients.MethodsThe clinical data of 289 elderly hip fracture patients in Chongqing Traditional Chinese Medicine Hospital from July 2014 to April 2020 were retrospectively analyzed. All patients were divided into two groups, including an ALI group (n=114, 36 males and 78 females at age of 82.94±6.85 years) and a non-ALI group (n=175, 51 males and 124 females at age of 84.42±6.31 years). General information, chest HRCT scores and PaO2/FiO2 were compared between the two groups. Correlation analysis was used to compare the relationship between chest HRCT scores and PaO2/FiO2. Multiple linear stepwise regression analysis was applied to evaluate the effective extent of the diffuse ground glass opacity (DGGO), intense parenchymal opacification (IPO), and reticulation HRCT scores to the overall HRCT scores.ResultsThe DGGO scores, IPO scores, reticulation scores, overall HRCT scores and PaO2/FiO2 were higher in the ALI group than those in the non-ALI group (P<0.001). In the ALI group, correlation analysis showed that DGGO, overall HRCT scores were in significantly negative correlation with PaO2/FiO2 (P<0.001). In addition, the correlation among PaO2/FiO2 and overall HRCT scores was more significant than that of DGGO scores. Multiple stepwise regression analysis indicated that DGGO, IPO, and reticulation scores were independent influencing factors for overall HRCT scores. Among the influencing factors, DGGO scores had the greatest impact, then IPO scores and reticulation scores. The HRCT signs of DGGO, IPO, and reticulation appeared simultaneously had the greatest effects on the overall HRCT scores.ConclusionThe chest HRCT score, which is associated with PaO2/FiO2, also can be used in the severity assessment of elderly patients with early ALI caused by hip fracture.
Objective To determine the influence of combinative assessment of 64 multi-slice spiral computer tomography (MSCT) and serum amyloid A protein (SAA) on the selection of operative procedures of upper rectal cancer in multi-disciplinary team. Methods Prospectively enrolled 110 patients, who were diagnosed definitely as upper rectal cancer (distance of tumor to the dentate line gt;7 cm) at West China Hospital of Sichuan University from August 2007 to October 2008, randomly assigned into two groups. In one group named MSCT+SAA group, both MSCT and SAA combinative assessment were made for the preoperative evaluation. In another group named MSCT group, only MSCT was made preoperatively. Then, the pooled data were analyzed for the correlative relationship between the choice of surgery strategy and clinicopathologic factors. Furthermore, the preoperative staging and predicted operative procedures were compared with postoperative pathologic staging and practical operative procedures, respectively. Results According to the criteria, 106 patients with upper rectal cancer were randomly assigned into MSCT+SAA group (n=52) and MSCT group (n=54). The baseline characteristics of two groups were statistically identical. When analyzing the proportion of multiple clinicopathologic factors in different operative procedures of upper rectal cancer, there were statistical differences in the preoperative N staging (P=0.003), M staging (P=0.022), TNM staging (P=0.003), serum level of SAA (P=0.005) and general category of tumor (P=0.027). For MSCT+SAA group the accuracies of preoperative staging T, N, M and TNM were 84.6%, 86.5%, 100% and 86.5%, respectively; For MSCT group the corresponding rates were 83.3%, 2.9%, 100% and 64.8%, respectively. There were statistically significant differences accuracies of preoperative N staging and TNM staging (P=0.005, P=0.009, respectively) in two groups. There was a statistically significant difference of the accuracy of prediction to operative procedures in two groups (96.2% vs. 81.5%, P=0.017). Conclusion Combinative assessment of 64 MSCT and SAA could improve the accuracy of preoperative staging, and thus provide higher predictive coincidence rate to operative procedures for surgeon.
Objective To evaluate the value of incremental dynamic enhanced computer tomography (CT) in diagnosis of solitary pulmonary nodules (SPN). Methods The data of 42 cases with SPN who had undergone pulmonary lobectomy were collected retrospectively to find the relationship between character of preoperative dynamic enhanced CT image and postoperative pathologic result. Results All bronchogenic carcinoma showed significant enhancement after intravenous 100 ml iodinated contrast material. The average degree of enhancement of bronchogenic carcinoma during the time 85s and 135s after infusion was significantly different from that of tuberculoma and other benign lesions(Plt;0.05). Conclusion Dynamic enhanced CT is valuable in identifying the malignant nodules from benign nodules. Emphasis should be paid to the lymph nodes in the relative field with dynamic enhanced CT, which is beneficial to the diagnosis of SPN and it is an important predictor of the result of surgical treatment.
Objective To access the diagnostic performance of CT texture analysis to differentiate atypical pancreatic solid pseudopapillary tumor (SPT) from pancreatic ductal adenocarcinoma (PDAC). Methods CT images of 26 patients with pathologically proved atypical SPT and 52 patients with PDAC were analyzed. 3D regions of interest (ROIs) on arterial phase (AP) and portal venous phase (PVP) images were drawn by ITK-Snap software. A.K. software (GE company, USA) was used to extract texture features for the discrimination of atypical SPT and PDAC. After removing redundancy (by a correlation analysis through R software), texture features were selected by single-factor and multi-factor logistic regression, and logistic regression model was finally established. Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic performance of single texture feature and logistic model. Results A total of 792 texture features ［396 of AP, 396 of PVP］ from AP and PVP CT images were obtained by A.K. software. Of these, 61 texture features (35 of AP, 26 of PVP) were selected by R software (result of correlation analysis showed that correlation coefficient >0.7). Two texture features, including MinIntensity and Correlation_AllDirection_offset1_SD, were selected to establish logistic model. The sensitivity and specificity of these 2 texture features were 71.15% and 76.92%, 63.46% and 76.92% respectively, the area under curve ( AUC) were 0.740 and 0.754 respectively. The model’s sensitivity and specificity were 73.08% and 80.77% respectively, the AUC value was 0.796. There was no significance among the model, MinIntensity, and Correlation_AllDirection_offset1_SD (P>0.05). Conclusions CT texture analysis of 3D ROI is a quantitative method for differential diagnosis of atypical SPT from PDAC.
Stage ⅠA lung adenocarcinoma presented as ground glass dominant on thin-section high-resolution CT scan is a special subtype of lung cancer. The characteristics of this subtype are quite different from the other patients, which presented as lower malignancy and better prognosis. Clinical, pathological and imaging studies have revealed that the proportion of the solid component in part-solid ground glass nodule is closely related with the pathological type and the prognosis of lung cancer. The methods for the assessment of the solid components in the ground glass nodule can be classified into three types, including subjective assessment, two dimensional measurement and three dimensional measurement. This review summarized the advantages and the limitations of these three methods. We also reviewed the clinical application of these techniques.