Objective To investigate the situation and prospect of local recurrence of rectal cancer by using CT and MRI. Method Relevant references about the imaging diagnosis of local recurrence of rectal cancer， which were published domestic and abroad in recent years， were collected and reviewed. Results In the diagnosis of local recurrence of rectal cancer， the sensitivity of CT was higher than that of MRI， while the specificity and accuracy were not. Perfusion CT， dynamic contrast-enhanced MRI， and diffusion weighted imaging were valuable in diagnosing local recurrence of rectal cancer， as new diagnostic techniques. Conclusion Both CT and MRI are important and valuable methods in diagnosing for local recurrence of rectal cancer.
Corona virus disease 2019 (COVID-19) is an acute respiratory infectious disease with strong contagiousness, strong variability, and long incubation period. The probability of misdiagnosis and missed diagnosis can be significantly decreased with the use of automatic segmentation of COVID-19 lesions based on computed tomography images, which helps doctors in rapid diagnosis and precise treatment. This paper introduced the level set generalized Dice loss function (LGDL) in conjunction with the level set segmentation method based on COVID-19 lesion segmentation network and proposed a dual-path COVID-19 lesion segmentation network (Dual-SAUNet++) to address the pain points such as the complex symptoms of COVID-19 and the blurred boundaries that are challenging to segment. LGDL is an adaptive weight joint loss obtained by combining the generalized Dice loss of the mask path and the mean square error of the level set path. On the test set, the model achieved Dice similarity coefficient of (87.81 ± 10.86)%, intersection over union of (79.20 ± 14.58)%, sensitivity of (94.18 ± 13.56)%, specificity of (99.83 ± 0.43)% and Hausdorff distance of 18.29 ± 31.48 mm. Studies indicated that Dual-SAUNet++ has a great anti-noise capability and it can segment multi-scale lesions while simultaneously focusing on their area and border information. The method proposed in this paper assists doctors in judging the severity of COVID-19 infection by accurately segmenting the lesion, and provides a reliable basis for subsequent clinical treatment.
【Abstract】ObjectiveBy using multidetector row spiral CT (MDCT) to investigate the CT imaging findings of gallbladder abnormalities caused by hepatic parenchymal diseases and those of inflammatory cholecystitis. MethodsCT and clinical data of 80 patients with gallbladder abnormalities were retrospectively reviewed. Fifty patients were in hepatic disease group, including 20 chronic hepatitis, 25 liver cirrhosis, and 5 cirrhosis with hepatocellular carcinoma. Thirty patients were in inflammatory group, including 19 chronic cholecystitis, 6 acute cholecystitis, 3 cholecystitis with acute pancreatitis, 1 gangrenous cholecystitis, and 1 xanthogranulomatous cholecystitis. All patients underwent MDCT plain scan and contrastenhanced dualphase scanning of upper abdomen. ResultsIn hepatic disease group, 48 cases had evenly thickened gallbladder wall (96%) with mean thickness of (3.67±0.49) mm; 38 cases had clear gallbladder outlines (76%); 38 cases had gallbladder wall enhancement of various degree (76%); 14 cases had gallbladder bed edema and localized nondependant pericholecystic fluid collection (28%). In inflammatory cholecystitis group, 28 cases had obscuring gallbladder outlines (93%) ; 26 cases had gallbladder wall evenly thickened (87%), 4 cases showed unevenly thicked wall (13%), the mean thickness being (4.54±1.14) mm; 30 cases had inhomogenous enhancement of the gallbladder wall (100%); 9 cases had highattenuation bile (30%); 4 cases had dependant pericholecystic fluid collection (13%); 5 cases had transient enhancement of adjacent hepatic bed in arterial phase (17%); microabscess and gas in the gallbladder wall was observed in 1 case respectively. ConclusionMDCT can offer imaging findings useful for differentiating abnormal gallbladder changes caused by hepatic parenchymal diseases from those due to inflammatory cholecystitis.
Objective To summarize recent advances on preoperative staging strategies in rectal cancer. Methods Relevant references about preoperative staging strategies were collected and reviewed. The multimodal preoperative evaluation (MPE) system recently documented was focused on. Results The comparably accurate T and M stage could be achieved preoperatively by following an appropriate available method; however, the N stage’s accuracy was still not satisfying. The MPE system， incorporating with the advantages of transrectal ultrasound， computerized tomography and serum amyloid A protein in a multi-disciplinary mode could display the most accurate preoperative staging for rectal cancer currently. Conclusion The MPE has potential prospects in preoperative staging of rectal cancer， and can provide the most accurate preoperative staging for rectal cancer at present.
Hemoptysis is a common respiratory emergency, and severe cases can lead to death. Patients with massive hemoptysis need emergency management at the bedside, and fully evaluation for indications and timing of tracheal intubation and transtracheal intervention. When a relatively stable state is achieved, emergency vascular intervention is performed to stop bleeding. CT plays an important role in the risk assessment and interventional treatment of hemoptysis, and it is worthy of clinical promotion and more exploratory research. This article introduces the emergency treatment for massive hemoptysis, the vascular interventional procedure, the exploration of clinical application of preoperative CT, and the clinical application value of CT for hemoptysis risk assessment. It aims to provide a better way to deal with massive hemoptysis and to apply CT to the interventional treatment of hemoptysis more reasonably for clinicians.
CT texture analysis (CTTA) can objectively evaluate the heterogeneity of tissues and their lesions beyond the ability of subjective visual interpretation by extracting the texture features of CT images, then performing analysis and quantitative and objective evaluation, reflecting the tissue micro environmental information. This article reviews the recent studies on the applications of CTTA in gastric cancers, in the aspects of identification of gastric tumors, prediction of stage, correlation with Lauren classification, prediction of occult peritoneal carcinomatosis, evaluation of efficacy and prognosis, and prediction of biomarkers. It is regarded that CTTA has a good application prospect in gastric cancers.
Objective To evaluate the role of contrastenhanced CT (CECT) scanning in the diagnosis and treatment planning of some rare liver tumors. MethodsWe retrospectively reviewed the CECT imaging features of 10 cases with rare tumors of the liver proved by surgical pathology in 8 cases or by liver biopsy in 2 cases, with correlation of relevant clinical manifestations, laboratory results and surgical findings. ResultsThree cases were histopathologically proved to be benign, and 7 cases were malignant. On CT images, the liver lesions were mixed cysticsolid in 5 cases, totally solid in the other 5. Eight cases demonstrated heterogeneous enhancement, while 2 cases of liver lymphoma had no enhancement. The anatomic relationship of tumors to intrahepatic vasculature, the compression and infiltration of neighboring abdominal structures were accurately delineated by CT as compared with findings at operation. Clinical manifestations and laboratory findings were not useful for the qualitative diagnosis of rare liver tumors, except for hepatocellular carcinoma. ConclusionCECT is very useful for the detection of rare liver tumors and the fine depiction of local extent of these tumors. When correlated with clinical and laboratory information, it helps to differentiate rare liver tumors from hepatocellular carcinoma. But its role in the characterization of rare liver tumors is limited.
ObjectiveTo establish and internally validate a predictive model for poorly differentiated adenocarcinoma based on CT imaging and tumor marker results. MethodsPatients with solid and partially solid lung nodules who underwent lung nodule surgery at the Department of Thoracic Surgery, the Affiliated Brain Hospital of Nanjing Medical University in 2023 were selected and randomly divided into a training set and a validation set at a ratio of 7:3. Patients' CT features, including average density value, maximum diameter, pleural indentation sign, and bronchial inflation sign, as well as patient tumor marker results, were collected. Based on postoperative pathological results, patients were divided into a poorly differentiated adenocarcinoma group and a non-poorly differentiated adenocarcinoma group. Univariate analysis and logistic regression analysis were performed on the training set to establish the predictive model. The receiver operating characteristic (ROC) curve was used to evaluate the model's discriminability, the calibration curve to assess the model's consistency, and the decision curve to evaluate the clinical value of the model, which was then validated in the validation set. ResultsA total of 299 patients were included, with 103 males and 196 females, with a median age of 57.00 (51.00, 67.25) years. There were 211 patients in the training set and 88 patients in the validation set. Multivariate analysis showed that carcinoembryonic antigen (CEA) value [OR=1.476, 95%CI (1.184, 1.983), P=0.002], cytokeratin 19 fragment antigen (CYFRA21-1) value [OR=1.388, 95%CI (1.084, 1.993), P=0.035], maximum tumor diameter [OR=6.233, 95%CI (1.069, 15.415), P=0.017], and average density [OR=1.083, 95%CI (1.020, 1.194), P=0.040] were independent risk factors for solid and partially solid lung nodules as poorly differentiated adenocarcinoma. Based on this, a predictive model was constructed with an area under the ROC curve of 0.896 [95%CI (0.810, 0.982)], a maximum Youden index corresponding cut-off value of 0.103, sensitivity of 0.750, and specificity of 0.936. Using the Bootstrap method for 1000 samplings, the calibration curve predicted probability was consistent with actual risk. Decision curve analysis indicated positive benefits across all prediction probabilities, demonstrating good clinical value. ConclusionFor patients with solid and partially solid lung nodules, preoperative use of CT to measure tumor average density value and maximum diameter, combined with tumor markers CEA and CYFRA21-1 values, can effectively predict whether it is poorly differentiated adenocarcinoma, allowing for early intervention.
Objective To assess value and limitations of non-invasive methods in assessing liver fibrosis．Methods By summarized current situation and advancement of serum fibrotic markers, ultrasound, CT and MRI in assessing liver fibrosis, we investigated their value and limitations. Results In addition to diagnosis, non-invasive methods of assessing liver fibrosis assess severity of liver fibrosis. For liver fibrosis, however, non-invasive methods can not monitor effectively reaction to therapy and progression. Conclusion Non-invasive methods play important roles in diagnosis and assessing severity of liver fibrosis, and reduce the need of liver biopsy.
Objective To evaluate the role of CT in diagnosis of the gastrointestinal tract rupture after blunt abdominal trauma. MethodsTwenty preoperative CT scans and clinical data were obtained in 20 patients who subsequently had bowel ruptures verified surgically. CT findings were analyzed retrospectively in these patients. Retrospective interpretation was made by consensus of at least two radiologists. ResultsTwenty cases of CT scan showed intraperitoneal fluid (18 cases), pneumoperitoneum (18 cases), extravasations of gastrointestinal tract contents (2 cases), bowel wall findings (14 cases) and mesenteric injury (15 cases). Conclusion CT is fast, sensitive and noninvasive in diagnosis of the gastrointestinal tract rupture after blunt abdominal trauma.