The same parastomal hernia repairs rate in the different approaches to colostomy.

PURPOSE: This study aimed to compare the parastomal hernia repairs rate in the different approaches to colostomy and investigate the risk factors for parastomal hernia formation in patients with permanent colostomies. METHODS: Consecutive rectal cancer patients who underwent abdominoperineal resection from June 2014 to July 2020 in West China Hospital were divided into two groups according to their surgical approach for permanent colostomies. The impact of different approaches to colostomy on parastomal hernia repairs was determined by comparing a group of patients receiving an extraperitoneal route to colostomy with a group receiving transperitoneal. Potential variables were evaluated first with univariate and then multivariate analyses to identify the risk factors for the formation of parastomal hernia. RESULTS: Two hundred two subjects in the transperitoneal group and 103 in the extraperitoneal group attended the follow-up visit with a median follow-up period of 33 (25th-75th percentiles, 17-46) months. Clinically and radiologically detectable parastomal hernias were present in 76 of 202 (37.6%) and 14 of 103 (13.6%) subjects in the transperitoneal and extraperitoneal groups during the follow-up period (p＜0.01). Besides, 10 of 76 (13.1%) subjects in the transperitoneal group and 2 of 14 (14.3%) subjects in the extraperitoneal group underwent a parastomal hernia operation during the follow-up (p = 0.82). In addition, the transperitoneal approach of colostomy (p = 0.002), older age (p＜0.001), and higher body mass index (p = 0.013) were identified as independent risk factors for the occurrence of parastomal hernia. CONCLUSIONS: Extraperitoneal colostomy decreased the detectable parastomal hernias but did not reduce the surgical repair rate of parastomal hernias.

Is it worthwhile to perform closure of the pelvic peritoneum in laparoscopic extralevator abdominoperineal resection?

PURPOSE: There is no uniformity in the use of closure of the pelvic peritoneum (CPP) after laparoscopic extralevator abdominoperineal excision (ELAPE). This study aimed to evaluate the short-term outcomes of CPP after ELAPE and provide supporting evidence for the performance of CPP in laparoscopic ELAPE. METHODS: Patients with rectal cancer who underwent ELAPE from January 2014 to April 2019 were retrospectively investigated. CPP was routinely performed unless it was not feasible. The main outcome was the difference in the occurrence of perineal hernia (PH), small bowel obstruction (SBO) and perineal wound complications between laparoscopic and open ELAPE, which were compared using Kaplan-Meier curves. RESULTS: Of the 244 patients included, 104 received laparoscopic ELAPE, and 140 received open ELAPE. Patients in the laparoscopic group suffered a higher incidence of PH (11.5% (12/104) vs. 5.0% (7/140), p = 0.049), SBO (10.6% (11/104) vs. 7.9% (11/140), p = 0.433) and major perineal wound complications (12.5% (13/104) vs. 7.9% (11/140), p = 0.228) than those in the open group. Multivariate analysis showed that no-CPP was an independent risk factor for the occurrence of PH (p = 0.022, OR 3.436, 95% CI 1.199-9.848) and major perineal wound complications (p = 0.012, OR 3.683, 95% CI 1.337-10.146). CONCLUSION: In this comparative cohort study with a risk of allocation bias, CPP was associated with a lower incidence of radiological PH and major perineal wound complications regardless of the surgical approach. Thus, we believe CPP could serve as an option L-ELAPE for the prevention of perineal complications. To further determine the impact of CPP on postoperative complications after ELAPE, a prospective multicentre study is needed.

A Quantitative and Radiomics approach to monitoring ARDS in COVID-19 patients based on chest CT: a retrospective cohort study.

Rationale: Acute respiratory distress syndrome (ARDS) is one of the major reasons for ventilation and intubation management of COVID-19 patients but there is no noninvasive imaging monitoring protocol for ARDS. In this study, we aimed to develop a noninvasive ARDS monitoring protocol based on traditional quantitative and radiomics approaches from chest CT. Methods: Patients diagnosed with COVID-19 from Jan 20, 2020 to Mar 31, 2020 were enrolled in this study. Quantitative and radiomics data were extracted from automatically segmented regions of interest (ROIs) of infection regions in the lungs. ARDS existence was measured by Pa02/Fi02 <300 in artery blood samples. Three different models were constructed by using the traditional quantitative imaging metrics, radiomics features and their combinations, respectively. Receiver operating characteristic (ROC) curve analysis was used to assess the effectiveness of the models. Decision curve analysis (DCA) was used to test the clinical value of the proposed model. Results: The proposed models were constructed using 352 CT images from 86 patients. The median age was 49, and the male proportion was 61.9%. The training dataset and the validation dataset were generated by randomly sampling the patients with a 2:1 ratio. Chi-squared test showed that there was no significant difference in baseline of the enrolled patients between the training and validation datasets. The areas under the ROC curve (AUCs) of the traditional quantitative model, radiomics model and combined model in the validation dataset was 0.91, 0.91 and 0.94, respectively. Accordingly, the sensitivities were 0.55, 0.82 and 0.58, while the specificities were 0.97, 0.86 and 0.98. The DCA curve showed that when threshold probability for a doctor or patients is within a range of 0 to 0.83, the combined model adds more net benefit than "treat all" or "treat none" strategies, while the traditional quantitative model and radiomics model could add benefit in all threshold probability. Conclusions: It is feasible to monitor ARDS from CT images using radiomics or traditional quantitative analysis in COVID-19. The radiomics model seems to be the most practical one for possible clinical use. Multi-center validation with a larger number of samples is recommended in the future.

Adipose derived mesenchymal stem cells alleviated osteoarthritis and chondrocyte apoptosis through autophagy inducing.

OBJECTIVE: We aim to explore the effect of adipose derived mesenchymal stem cells (ADMSCs) on a knee osteoarthritis rat model and analyze how ADMSCs affect chondrocyte apoptosis. MATERIALS AND METHODS: A surgically induced rat knee osteoarthritis (OA) model was constructed. ADMSCs were engrafted into the right knee cavity. Hematoxylin and eosin (H&E), Masson, and Safranin O were used to compare the histopathology of synovial membrane and cartilage. Immunohistochemical (IHC) was used to measure MMP-13, Collagen 2 (Col-2), Caspase-3 (Cas-3), PARP, p62, LC3b, DDR-2, FGFR-1, Wnt, P-AKT/AKT, p-CAMKII/CAMKII, and p-Smad1/Smad1 expression in the articular cartilage. qPCR and Western blot analysis were used to detect mRNA and protein levels of markers in chondrocytes. TUNEL and Annexin-V were used to assess apoptosis. RESULTS: Histological analysis showed that ADMSCs alleviated the deterioration of cartilage and osteoarthritis. ADMSCs coculture increase the expression of Col2 and Sox-9, while down regulated MMP-13 in IL-1ß stimulated chondrocytes. ADMSCs decreased proinflammatory cytokines IL-1ß, IL-6, and TNF-α. ADMSCs enhanced the viability of IL-1ß stimulated chondrocytes. ADMSC attenuated chondrocyte apoptosis. The pretreatment of 3-methyladenine (3-MA) reversed the reduction of Caspase-3 caused by ADMSCs, showing that the antiapoptotic effect was associated with autophagy inducing. ADMSCs significantly reduced the expression of FGFR-1, DDR-2, and Wnt in IL-1ß stimulated chondrocytes. ADMSCs reduced the ratio of p-Smad1/Smad1 and p-CAMK II/CAMKII, and increased the ratio of p-AKT/AKT. CONCLUSIONS: ADMSCs treatment alleviate osteoarthritis in rat OA models. AMDSCs reduced the secretion of proinflammatory cytokines and protected against apoptosis through autophagy inducing. ADMSCs' function could be related to multiple signaling pathway.

[Evaluation of pathologic response of breast cancer to neoadjuvant chemotherapy with magnetic resonance diffusion weighted imaging].

This paper aims to investigate the value of diffusiion weighted imaging (DWI) and different apparent diffusion coefficient (ADC) methods to predict the curative effects of neoadjuvant chempotherapy (NAC) for breast cancer. From March 2010 to December 2012, seventy-one patients were pathologically confirmed invasive breast cancer by needle puncture biopsy received before surgery, and underwent magnetic resonance before and after NAC, the ADC were measured by mean ADC method and lower ADC method. The pathologic response after NAC was divided to major histological response (MHR) group and non-major histological response (NMHR) group according to Miller & Payne system. Results displayed that ADC values obtained before NAC, at the end of the second cycle of NAC, and after whole course of treatment, had good correlations between mean and lower ADC methods (the Pearson's correlation=0.699, 0.749 and 0.895, respectively). Significant difference in ADC obtained both with mean and lower ADC methods could be found between MHR and NMHR groups after the second cycle of NAC (P< 0.05). After the second cycle of NAC, significant difference in the change rate of ADC could be found between MHR and NMHR groups by using lower ADC method (P<0.05), but not be found by using mean ADC method (P >0.05). In conclusion, DWI could monitor the pathologic changes of breast cancer after NAC, and the lower ADC method might be used to evaluate the curative effect of NAC with the change rate of ADC.

[The actions of diffusion weighted imaging (DWI) and dynamic contrast enhanced MRI in differentiating breast tumors].

We studied the actions of diffusion weighted imaging (DWI) and dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) in differentiating breast tumors. From January 2010 to February 2012, we retrospectively analyzed data of 95 cases with breast tumor pathologically confirmed from DWI and DCE-MRI. We compared the ADC value, time-intensity curve (TIC) and DCE-MRI parameters between breast tumors, and calculated the sensitivity and specificity for differentiating breast tumors. The results were as follows: (1) On DWI, mean ADC value of malignant tumor was lower than that of benign tumor (P < 0.05). For differentiating breast malignant tumors from benign neoplasm, a cut-off ADC value of 1.2 x 10(-3) mm2/s achieved a sensitivity of 74.1% and specificity of 70.3%. (2) On DCE-MRI, early enhancement ratio (EER) value of malignant tumor was higher than that of benign tumor whereas value of time to peak (Tpeak) and maximal enhancement ratio (SImax) were lower than that of benign tumor (all P < 0.05). As for TIC, type II and III were more frequently seen in malignant tumor than in benign tumor whereas type I was more common in benign tumor than in malignant tumor (all P < 0.05). For differentiating breast malignant tumors from benign neoplasm, DCE-MRI obtained a sensitivity of 89.7% and specificity of 70.3%. (3) For differentiating breast malignant tumors from benign neoplasm, ADC value together with TIC obtained a sensitivity of 79.3% and specificity of 78.4%. Malignant or benign breast tumors could have their own unique characteristics on DWI and DCE-MRI. These characteristics might be helpful for differentiating these tumors.

Prediction of Chemotherapy Efficacy in Patients with Colorectal Cancer Ovarian Metastases: A Preliminary Study Using Contrast-Enhanced Computed-Tomography-Based Radiomics.

Ovarian metastasis (OM) from colorectal cancer (CRC) is infrequent and has a poor prognosis. The purpose of this study is to investigate the value of a contrast-enhanced CT-based radiomics model in predicting ovarian metastasis from colorectal cancer outcomes after systemic chemotherapy. A total of 52 ovarian metastatic CRC patients who received first-line systemic chemotherapy were retrospectively included in this study and were categorized into chemo-benefit (C+) and no-chemo-benefit (C-) groups, using Response Criteria in Solid Tumors (RECIST v1.1) as the standard. A total of 1743 radiomics features were extracted from baseline CT, three methods were adopted during the feature selection, and five prediction models were constructed. Receiver operating characteristic (ROC) analysis, calibration analysis, and decision curve analysis (DCA) were used to evaluate the diagnostic performance and clinical utility of each model. Among those machine-learning-based radiomics models, the SVM model showed the best performance on the validation dataset, with AUC, accuracy, sensitivity, and specificity of 0.903 (95% CI, 0.788-0.967), 88.5%, 95.7%, and 82.8%, respectively. All radiomics models exhibited good calibration, and the DCA demonstrated that the SVM model had a higher net benefit than other models across the majority of the range of threshold probabilities. Our findings showed that contrast-enhanced CT-based radiomics models have high discriminating power in predicting the outcome of colorectal cancer ovarian metastases patients receiving chemotherapy.

Efficacy of Pelvic Peritoneum Closure After Laparoscopic Extralevator Abdominoperineal Excision for Rectal Cancer.

BACKGROUND: The descent of the small bowel into the pelvic dead space after extralevator abdominoperineal excision (ELAPE) presents a higher risk for postoperative complications. The aim of the present study was to evaluate the efficacy of pelvic peritoneum closure in preventing the small bowel from descending into the pelvic dead space and the potential consequences of this approach. METHODS: Patients with rectal cancer undergoing laparoscopic ELAPE from March 2014 to January 2019 were retrospectively investigated. Closure of the pelvic peritoneum (CPP) was routinely performed unless it was not feasible. All patients with pelvic peritoneum reconstruction were included in the CPP group, and patients without pelvic peritoneum reconstruction were included in the no-CPP group. The main outcomes included the incidences of the small bowel descending into the retro-urogenital space (space between the bladder/uterus and the sacrum on axial CT scans), perineal wound complications, perineal hernia, and small bowel obstruction (SBO). RESULTS: Of the 100 patients included, 79 received CPP, and 21 did not. Fewer patients with pelvic peritoneum closure had small bowels residing in the retro-urogenital space than patients without closure (17.7% vs 42.9%, p=0.014). The incidence of SBO was also lower in the CPP group (7.6% vs. 23.8%, p=0.034). Multivariable analysis showed that no-CPP (p=0.014) was an independent risk factor for the small bowel descending into the retro-urogenital space. CONCLUSION: CPP may prevent the small bowel from descending into the retro-urogenital dead space in patients undergoing laparoscopic ELAPE without increasing the incidence of perineal wound complications. Prospective studies are warranted to confirm the efficacy of CPP in preventing SBO and perineal hernia.

Combining initial chest CT with clinical variables in differentiating coronavirus disease 2019 (COVID-19) pneumonia from influenza pneumonia.

Coronavirus disease 2019 (COVID-19) has spread in more than 100 countries and regions around the world, raising grave global concerns. COVID-19 has a similar pattern of infection, clinical symptoms, and chest imaging findings to influenza pneumonia. In this retrospective study, we analysed clinical and chest CT data of 24 patients with COVID-19 and 79 patients with influenza pneumonia. Univariate analysis demonstrated that the temperature, systolic pressure, cough and sputum production could distinguish COVID-19 from influenza pneumonia. The diagnostic sensitivity and specificity for the clinical features are 0.783 and 0.747, and the AUC value is 0.819. Univariate analysis demonstrates that nine CT features, central-peripheral distribution, superior-inferior distribution, anterior-posterior distribution, patches of GGO, GGO nodule, vascular enlargement in GGO, air bronchogram, bronchiectasis within focus, interlobular septal thickening, could distinguish COVID-19 from influenza pneumonia. The diagnostic sensitivity and specificity for the CT features are 0.750 and 0.962, and the AUC value is 0.927. Finally, a multivariate logistic regression model combined the variables from the clinical variables and CT features models was made. The combined model contained six features: systolic blood pressure, sputum production, vascular enlargement in the GGO, GGO nodule, central-peripheral distribution and bronchiectasis within focus. The diagnostic sensitivity and specificity for the combined features are 0.87 and 0.96, and the AUC value is 0.961. In conclusion, some CT features or clinical variables can differentiate COVID-19 from influenza pneumonia. Moreover, CT features combined with clinical variables had higher diagnostic performance.

Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy.

OBJECTIVE: To investigate the capability of a radiomics model, which was designed to identify histopathologic growth pattern (HGP) of colorectal liver metastases (CRLMs) based on contrast-enhanced multidetector computed tomography (ceMDCT), to predict early response and 1-year progression free survival (PFS) in patients treated with bevacizumab-containing chemotherapy. METHODS: Patients with unresectable CRLMs who were treated with bevacizumab-containing chemotherapy were included in this multicenter retrospective study. For each target lesion, the radiomics-diagnosed HGP (RAD_HGP) of desmoplastic (D) pattern or replacement (R) pattern was determined. Logistic regression and receiver operating characteristic (ROC) curves were used to assess lesion- and patient-based responses according to morphologic response criteria. One-year PFS was calculated using Kaplan-Meier curves. Hazard ratios for 1-year PFS were obtained through Cox proportional hazard regression analysis. RESULTS: Among 119 study patients, 206 D pattern and 140 R pattern lesions were identified. In patients with multiple lesions, 52 had D pattern, 31 had R pattern, and 36 had mixed (D + R) pattern. The area under the curve value for RAD_HGP in predicting early response was 0.707 for lesion-based analysis and 0.720 for patient-based analysis. Patients with D pattern had a significantly longer PFS than patients with R pattern or mixed pattern (P < 0.001). RAD_HGP was the only independent predictor of 1-year PFS. CONCLUSIONS: HGP diagnosed using a radiomics model could be used as an effective predictor of PFS for patients with CRLMs treated with bevacizumab-containing chemotherapy.

Imaging features and mechanisms of novel coronavirus pneumonia (COVID-19): Study Protocol Clinical Trial (SPIRIT Compliant).

INTRODUCTION: A novel coronavirus, tentatively designated as 2019 Novel Coronavirus (2019-nCoV), now called severe acute respiratory syndrome coronavirus 2, emerged in Wuhan, China, at the end of 2019 and which continues to expand. On February 11, 2020, the World Health Organization (WHO) named the disease coronavirus disease 2019 (COVID-19). On February 28, WHO increased our assessment of the risk of spread and the risk of impact of COVID-19 to very high at a global level. The COVID-19 poses significant threats to international health.Computed tomography (CT) has been an important imaging modality in assisting in the diagnosis and management of patients withCOVID-19. Some retrospective imaging studies have reported chest CT findings of COVID-19 in the past 2 months, suggesting that several CT findings may be characteristic. To our knowledge, there has been no prospective multicentre imaging study of COVID-19 to date.We proposed a hypothesis: There are some specific CT features on Chest CT of COVID-19 patients. And the mechanism of these CT features is explicable based on pathological findings. OBJECTIVE: To investigate the specific CT features of COVID-19 and the formation mechanism of these CT features. METHOD: This study is a prospective multicenter observational study. We will recruit 100 patients with COVID-19 at 55 hospitals. All patients undergo chest CT examination with the same scan protocol. The distribution and morphology of lesions on chest CT, clinical data will be recorded. A number of patients will be pathologically examined after permission is granted. The data of these three aspects will be analyzed synthetically. DISCUSSION: This study will help us to identify the chest CT features of COVID-19 and its mechanism. ETHICS AND DISSEMINATION: This retrospective study was approved by the Biomedical Research Ethics Committee of West China Hospital of Sichuan University (No. 2020-140). Written informed consent will be obtained from all study participants prior to enrollment in the study. To protect privacy of participants, all private information were kept anonymous. The results will be published in a peer-reviewed journal and will be disseminated electronically and in print regardless of results.

Quantitative analysis of chest CT imaging findings with the risk of ARDS in COVID-19 patients: a preliminary study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) has rapidly become a pandemic worldwide. The value of chest computed tomography (CT) is debatable during the treatment of COVID-19 patients. Compared with traditional chest X-ray radiography, quantitative CT may supply more information, but its value on COVID-19 patients was still not proven. METHODS: An automatic quantitative analysis model based on a deep network called VB-Net for infection region segmentation was developed. A quantitative analysis was performed for patients diagnosed as severe COVID 19. The quantitative assessment included volume and density among the infectious area. The primary clinical outcome was the existence of acute respiratory distress syndrome (ARDS). A univariable and multivariable logistic analysis was done to explore the relationship between the quantitative results and ARDS existence. RESULTS: The VB-Ne model was sensitive and stable for pulmonary lesion segmentation, and quantitative analysis indicated that the total volume and average density of the lung lesions were not related to ARDS. However, lesions with specific density changes showed some influence on the risk of ARDS. The proportion of lesion density from -549 to -450 Hounsfield unit (HU) was associated with increased risk of ARDS, while the density was ranging from -149 to -50 HU was related to a lowered risk of ARDS. CONCLUSIONS: The automatic quantitative model based on VB-Ne can supply useful information for ARDS risk stratification in COVID-19 patients during treatment.

Budd-Chiari syndrome in Behcet's disease: A report of two cases.

Budd-Chiari syndrome (BCS) is a rare but severe venous form of Behcet's disease (BD) that is caused by the obstruction of the venous outflow tract that transports blood from hepatic veins into the inferior vena cava. In countries where BD is prevalent, including the Middle East and Far East, BCS awareness is important. In the present study, two cases of BCS are presented in two male Chinese patients with BD. The clinical characteristics, treatment and outcomes were recorded and compared with previous studies, and the features of BD-BCS were summarized. The clinical characteristics of the two patients documented were similar. Each patient presented with insidious onset, abdominal symptoms and recurrent aphthous ulcers. Accurate diagnosis was delayed as other symptoms of BD were overlooked. Each patient responded well to TNF-α inhibitor treatment in combination with cyclophosphamide (CYC). One patient with good compliance was removed from CYC and corticosteroid therapy. Unfortunately, the other patient with poor compliance faced a poor outcome. It was concluded that multiple vessel lesions in ≥2 sites are common in vasculo-BD and that misdiagnosis may occur if other symptoms of BD are not noticed. BD-BCS is associated with a high mortality rate, but appropriate treatment may result in a favorable outcome.

Imaging Features of Neurocysticercosis: Analysis of 57 Consecutive Patients.

AIM: To investigate the imaging features of neurocysticercosis and to provide valuable information about the diagnosis and treatment for clinicians. MATERIAL AND METHODS: The data of 71 consecutive cases of neurocysticercosis, diagnosed by computed tomography (CT) and magnetic resonance imaging (MRI) between January 2009 and January 2014 in our institute were collected. Of all the cases, 57 patients met the recognized diagnostic criteria of neurocysticercosis. In this series, enzyme-linked immunosorbent assay (ELISA) examination and Cysticercosis IgG were positive in 55 cases and 3 cases, respectively. Among them, neurocysticercosis was confirmed surgically in 11 cases. Seven cases had CT examinations, including enhanced CT in one case. Fifty-four cases had MRI examinations, including contrast-enhanced MRI in 46 cases. Therapeutically, 32 patients received albendazole, while 25 patients received praziquantel. As a surgical treatment, 9 patients underwent lesionectomy, and 1 patient underwent lesionectomy plus shunt insertion for hydrocephalus. RESULTS: Parenchymal cysticerci in 53 cases (92.9%), subarachnoidal cysticerci in 39 cases (68.4%), ventricular cysticerci in 13 cases (22.8%) and spinal cysticerci in 1 case were demonstrated on CT and MRI scans. In total, the intracranial cysticerci involving multiple locations simultaneously were found in 39 patients. Thirty-five cases had associated leptomeningitis, 10 cases had hydrocephalus. In 1 case, the cysticerci were located outside of the central nervous system. CONCLUSION: The imaging findings of the cysticerci, including their location, numbers, cystic sizes, capsular thickness, densities and signals of the scolexes, as well as the peripheral edema, have distinct value in making possible timely diagnosis of neurocysticercosis for clinicians.

Intravenous leiomyomatosis with intracardiac extension depicted on computed tomography and magnetic resonance imaging scans: A report of two cases and a review of the literature.

Intravenous leiomyomatosis (IVL) is defined as a benign smooth muscle tumor, growing within systemic veins. IVL with intracaval and intracardiac extension has rarely been reported in radiological and oncological journals. The present study describes 2 cases of IVL extending from the inferior vena cava to the right atrium and ventricle, and discusses the imaging findings and differential diagnosis of this tumor entity. The two patients, who complained of palpitations, shortness of breath or syncope, were surgically treated, with complete resection of the cardiac and intracaval tumors. Pathological examinations were suggestive of IVL. The postoperative course of the two patients was uneventful, and no signs of recurrence were observed on follow-up. Computed tomography and magnetic resonance imaging played a vital role in the diagnostic process and presurgical assessment. The results of the present study indicate that IVL should be considered upon presentation of a soft mass in systemic veins, even when the mass extends to the right cardiac chambers, in female patients, particularly in patients with a history of uterine myoma.

Ectopic pancreas in the anterior mediastinum: A report of two cases and review of the literature.

Ectopia of the pancreatic tissue is a developmental anomaly found in ~2% of all autopsies, and 70~90% of these anomalies are located in the gastrointestinal tract. Mediastinal localization of an ectopic pancreas is extremely rare. Herein, we report two cases with mediastinal ectopic pancreas clarified by pathology and shown by thoracic contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI). In addition, a brief review of the relevant literatures is presented. Although CT and MRI manifestations of this lesion are nonspecific, certain notable findings need to be focused on. When there is a mass in the anterior mediastinum with marked and heterogeneous enhancement, along with necrotic and liquefied non-enhanced areas in the center, ectopic pancreas should be considered and differentiated from other neoplasms in this region.