Objective To explore the efficacy of high-resolution MRI in the prediction of tumor complete response after neoadjuvant chemoradiation therapy for T3 rectal cancer.Methods The clinical data of 108 patients with T3 rectal cancer who were admitted to Shanghai Cancer Center of Fudan University from 2010 to 2012 were retrospectively analyzed.The TNM stage of tumor,extramural depth of tumor invasion (mrT3 stage),involvement of mesorectum and rectal fascia,tumor diameter and distance from anal edge to lower edge of tumor were the main items of evaluation using the high-resolution MRI.A total of 108 patients underwent surgical resection of tumor after neoadjuvant chemoradiation therapy.The tumor complete response after neoadjuvant chemoradiation therapy was evaluated by tumor node metastasis (TNM) stage and tumor regression grade (TRG).The categorical data and multivariate analysis were done by the single factor analysis of variance (ANOVA) and Logistic regression analysis.Results The positive response rate of the T3a,T3b and T3c in the patients were 61.5％ (16/26),36.9％ (24/65) and 11.8％ (2/17) after neoadjuvant chemoradiation therapy,respectively.The mrT3,mrN and tumor diameter were the potential factors affecting response of neoadjuvant chemoradiation therapy by the univariate analysis of pathological restaging (x2 =50.474,30.985,8.318,P ＜ 0.05).The mrT3 was an independent risk factor affecting response of neoadjuvant chemoradiation therapy by the multivariate analysis of pathological restaging (OR =4.473,95 ％ confidence interval:2.003-9.991,P ＜ 0.05).There was no significant difference between the mrT3 stage,N stage,involvement of mesorectum and rectal fascia,tumor diameter and distance from anal edge to lower edge of tumor before therapy and the response after neoadjuvant chemoradiation therapy based on the tumor regression grade(TRG) (x2 =6.264,6.159,2.949,2.189,6.335,P ＞ 0.05).Conclusion The mrT3 in patients undergoing high-resolution MRI before neoadjuvant chemoradiation therapy could predict the tumor complete response after neoadjuvant chemoradiation therapy for T3 rectal cancer.

Objective To determine the value of dynamic contrast enhanced (DCE?MRI) in predicting treatment response before preoperative chemoradiotherapy in locally advanced rectal cancer. Methods A cohort of consecutive patients with histologically confirmed rectal adenocarcinoma treated with preoperative chemoradiotherapy followed by total mesorectal excision (TME) surgery was enrolled in a prospective, pilot trial. All enrolled patients were examined using DCE?MRI at two time points: 2 to 5 days before neoadjuvant chemoradiation, 1 to 4 days before surgery. The following perfusion parameters (Ktrans, Kep, Ve) were measured for tumor. The patients were classified into pathological complete response (pCR) and non?pCR group according to the pathological results after operation. Those perfusion parameters were compared between the pCR and the non?pCR group and between before and after CRT in pCR and the non?pCR group with the t test. Receiver?operating curves (ROC) were constructed to further investigate the predictive value of Ktrans, Kep, Ve before neoadjuvant chemoradiation and were used to determine a threshold value at which patents with pCR could be distinguished from patients without complete response. Results The final study population consisted of 38 patients. There were 12 patients with a pCR and 26 patients with non?pCR. Before neoadjuvant chemoradiation, the mean tumor Ktrans, Kep and Ve for pCR group were (1.25 ± 0.56)/min, (2.10 ± 1.61)/min and 0.73 ± 0.34, respectively, for non?pCR group they were (0.46 ± 0.39)/min, (1.15 ± 0.77)/min and 0.32±0.12, respectively. All perfusion parameters showed significant difference between those two groups(t values were 3.45,5.67 and 6.23 respectively, all P<0.05). After neoadjuvant chemoradiation, the mean tumor Ktrans, Kep and Ve for pCR group were (0.28 ± 0.13)/min, (0.62 ± 0.27)/min and 0.21 ± 0.13 respectively, for non?pCR group, they were (0.32±0.12)/min, (0.83±0.42)/min and 0.17±0.10, respectively. All perfusion parameters showed no difference between those two groups(P>0.05), as well as the changes before and after neoadjuvant chemoradiation in those groups(P>0.05). ROC analysis for Ktrans pre?treatment revealed that Ktrans had an AUC of 0.837 in predicting pCR. A Ktrans of 0.66/min was emerged as the optimal cut?off for distinguishing pCR from non?pCR and for Ktrans>0.66/min, the sensitivity and specificity for predicting pCR were 75.0% (9/12) and 96.2% (25/26). Kep and Ve showed an AUC of 0.655 and 0.654 in predicting pCR. Conclusions In locally advanced rectal cancer, DCE?MRI can aid in predicting treatment response before preoperative chemoradiotherapy. Ktrans may become a better predictor to classify which patients will benefit from neoadjuvant chemoradiation.

Background and purpose:The lymph node metastatic model of rectal tumor is a useful tool for the research on tumor occurrence, development, metastasis and antineoplastic therapy. There are few reports about establishment of larger animal model. This study aimed to establish feasible and reproducible lymph node metastatic models of VX2 tumor in rabbits.Methods:The VX2 tumor tissue was put into the puncture needle. The VX2 tumor tissue in the needle was orthotopically transplanted into the rectal wall of the New Zealand white rabbits successfully. Twenty New Zealand white rabbits were transplanted. Two experimental rabbits were scanned by MR weekly. Tumor growth curve and lymph node numbers were observed on MR. Experimental rabbit tumor volumes were measured by MR post-processing software. The rectal tumor and surrounding lymph nodes were resected, and the specimens were ifxed. The sections were stained with HE. We explored the relationship between tumor volume and growth time, the number of metastatic lymph nodes and tumor volume, respectively.Results:Thirteen models were successfully established with a rate of 65%. Tumors limited in the rectal wall were observed on the fourth week. Tumor size increased over time. There was significant difference in the tumor volume between different periods (growth cycle number) (F=52.865,P<0.05). There was a signiifcantly positive correlation between tumor volume and the growth cycle number (r=0.910,P<0.05). The metastatic lymph nodes could be observed when VT>9 cm3. The number of metastatic lymph node increased obviously from the ninth week. The more tumor volume, the greater the number of metastatic lymph nodes was observed (F=92.531,P<0.05). There was a signiifcantly positive correlation between the number of metastatic lymph nodes and the tumor volume (r=0.945,P<0.05).Conclusion:Metastatic lymph node models of VX2 tumor in New Zealand white rabbits were established successfully. This model has some value in the research on local growth, invasion mechanism, lymph node metastasis and biological characteristics of rectal cancer.

Objective To analyze the indications,techniques of MR-guided localization and the imaging features of breast lesion.Methods Hook wire localization was performed in 43 patients whose lesions were only detected by MRI,based on a 1.5 T MR scanner and a special MR biopsy positioning frame.The feasibility of operation and accuracy of localization were explored.Lesion features and pathologic findings were analyzed using Fisher exact test.Results A total of 37 patients (86.0％) with 38 lesions underwent MR-guided localization.Of the 6 patients canceled,the lesions were not obvious in 4 patients,and the positioning was difficult in 2 cases.Of the 38 lesions,17 were masses,20 were non-mass enhancement lesions,and one lesion was undetermined enhancement.There were 11 (28.9％) malignant lesions.The distribution of internal enhancement pattern was different between benign and malignant non-mass lesions (P =0.028),while the other morphological features between benign and malignant were not significantly different (P ＞ 0.05).Conclusions MR-guided localization provides an accurate and safe method for localizing the suspicious lesions on MRI.The morphological findings of these lesions are not characteristic for the differentiation of benign and malignant lesions.

Objective To evaluate the value of quantitative 3T dynamic contrast enhanced MRI in the diagnosis of breast lesions. Methods One-hundred and eighteen patients suspected of breast lesions underwent MRI examination. A 3.0 T MR scanner was used to obtain the quantitative MR pharmacokinetic parameters: Ktrans( volume transfer constant), Kep (exchange rate constant) and Ve (extravascular extracellular volume fraction). The mean Ktrans, Kep and Ve of malignant, benign and normal glandular tissues were calculated and compared each other using LSD method. Independent sample t test was used between invasive ductal carcinoma and ductal carcinoma in situ (microinvasion included). Finally, the areas under the ROC curve (AUC) of Ktrans, Kep and Ve between malignant and benign lesions were compared. Results The mean Ktrans, Kep and Ve of malignant lesions (n=87) were (1.010±0.580) min-1, (1.634 ± 1.481) min-1 and (0.735 ±0.273); the mean Ktrans, Kep and Ve of benign lesions (n=23) were (0.331±0.192) min - 1, (0.417±0.324) min - 1 and (0.847±0.291); and the mean Ktrans, Kep and Ve of normal glandular tissues (n =83) were (0.051 ±0.028) min-1, (0.133±0.125) min-1 and (0.597±0.354), respectively. There were significant differences between normal glandular tissues and benign lesions, normal glandular tissues and malignant lesions, benign and malignant lesions in Ktrans (t=9.681, 11.189, 5. 590, respectively, P ＜ 0. 01 ), normal glandular tissues and malignant lesions, benign and malignant lesions in Kep(t =5. 287, 3. 874, P＜0. 05). There were a statistic differences between normal glandular tissues and benign lesions, normal glandular tissues and malignant lesions in Ve(t =2. 932, 2. 562 ,P ＜0. 05). There were no significant differences between normal glandular tissues and benign lesions in Kep, benign and malignant lesions in Ve ( t = 0. 760, 0. 832, P ＞ 0.05 ),invasive ductal carcinoma and ductal carcinoma in situ (microinvasion included) in Ktrans, Kep and Ve(t =0.834,0.075,0.454,P＞0.05). The areas under the ROC curve (AUC) of Ktrans, Kep and Ve between malignant and benign lesions were 0. 934, 0. 941 and 0. 659. The sensitivity of Ktrans, Kep and Ve were 77.01% ,91.95% ,56. 32% and the specificity of Ktrans, Kep and Ve were 95. 65%, 86. 96%, 78.26% for the differential diagnosis of breast lesions if taken the maximum Youden's index as cut-off. Conclusion The differential diagnosis of benign and malignant breast lesions by Ktrans, Kep is applicable.

Objective:To investigate the differential diagnosis of MRI between male malignant and benign breast lesions.Methods:Totally 34 patients with male breast lesions who underwent breast MRI examination from January 2011 to March 2019 were collected from Shanghai Cancer Center.All images were evaluated by two radiologists who were blinded to pathological results. When there was a disagreement, another independent senior radiologist assessed the imaging features. The imaging features including lesion location, T 1WI signal, T 2WI signal, lesion type and accompanying signs were evaluated. All lesions were confirmed by biopsy or surgical pathology. Twelve patients were in benign group, 22 patients in malignant group. The imaging findings of MRI were recorded and statistically analyzed by univariate analysis (continuous variables were tested by Mann-Whitney U test and categorical variables were tested by Fisher′s exact test). Results:Among the 34 patients, 31 cases clinically touched the mass and 3 cases showed simple nipple bleeding. In MRI signs, breast cancer showed mass-like enhancement (22/22), benign lesions showed non-mass enhancement (7/12), the difference was statistically significant ( P<0.05). And ipsilateral axillary enlarged lymph nodes only appeared in breast cancer, which was significantly different from that in benign lesions ( P<0.05). There was no significant difference in age, lesion location, T 1WI signal, T 2WI signal, skin thickening and nipple invagination between benign and malignant lesions. There was no significant difference in the size, shape and edge of the mass between benign and malignant lesions on MRI ( P>0.05). Conclusions:MRI can distinguish male malignant and benign breast lesions. Most of non-mass enhancement are benign lesion and enlarged lymph nodes are helpful to detect breast cancer, nipple retraction and skin thickening in the diagnosis of male breast cancer are limited.

Timely reporting, effective analyses and rapid distribution of surveillance data can assist in detecting the aberration of disease occurrence and further facilitate a timely response. In China, a new nationwide web-based automated system for outbreak detection and rapid response was developed in 2008. The China Infectious Disease Automated-alert and Response System (CIDARS) was developed by the Chinese Center for Disease Control and Prevention based on the surveillance data from the existing electronic National Notifiable Infectious Diseases Reporting Information System (NIDRIS) started in 2004. NIDRIS greatly improved the timeliness and completeness of data reporting with real time reporting information via the Internet. CIDARS further facilitates the data analysis, aberration detection, signal dissemination, signal response and information communication needed by public health departments across the country. In CIDARS, three aberration detection methods are used to detect the unusual occurrence of 28 notifiable infectious diseases at the county level and to transmit that information either in real-time or on a daily basis. The Internet, computers and mobile phones are used to accomplish rapid signal generation and dissemination, timely reporting and reviewing of the signal response results. CIDARS has been used nationwide since 2008; all Centers for Disease Control and Prevention (CDC) in China at the county, prefecture, provincial and national levels are involved in the system. It assists with early outbreak detection at the local level and prompts reporting of unusual disease occurrences or potential outbreaks to CDCs throughout the country.

OBJECTIVETo explore the effect of signal strength indictor (SSI) in improving sensitivity of China Infectious Diseases Automated-alert and Response System (CIDARS).

METHODSDiarrhea cases in 2007-2011 and early warning signals in 2010-2011 were selected by using random digital table method. Then, SSI and event-related ratio (ER) were calculated. The relationship between ER and SSI was analyzed, and the effect of SSI on ER was explored by using multiple logistic regression analysis.

RESULTS9 620 early warning signals in 2010-2011 were generated in two years. Of these, 74, or 0.77% were defined as suspected outbreak signal. The median of SSI related with suspected outbreak signal was 4.0, which was much higher than non-suspected outbreak signal (1.7). ER was significantly correlated with SSI (r=0.917). SSI classification has a good correlation between the ER, ER exceeded 20 after SSI reached 20. The multivariate logistic regression analysis showed OR of SSI related with suspected outbreak signal was 2.52 (95% CI 2.04-3.12). Compared with non-epidemic season, the relationship of SSI and ER in epidemic season was much higher.

CONCLUSIONSSI was closely related with ER. The relationship was much closer in large scale outbreak and epidemic season, and compared to non-epidemic,the effect of epidemic season is more obvious.

China ; Communicable Diseases ; diagnosis ; epidemiology ; Diarrhea ; diagnosis ; epidemiology ; Disease Outbreaks ; Humans ; Population Surveillance

Objective:To evaluate the feasibility of CT radiomics method in predicting outcomes of simultaneous pulmonary nodules in breast cancer patients after treatment.Methods:Patients with breast cancer confirmed by pathology and with simultaneous pulmonary nodules (diameter>5 mm, number≤5) detected by preoperative CT were retrospectively enrolled in this study. Eighty female patients were included (median age: 52, quartile range: 45, 61). The pulmonary nodules (median size: 6.0 mm, quartile range: 5.5, 7.2 mm) were classified into stable group (without change over 2 years) and change group according to follow-up CT findings. The change group was further divided into improved group and progressive group. Eventually, 54 cases were in the stable group, 26 cases were in the change group. One hundred and five texture features were extracted using the python-based pyradiomics package based on preoperative CT images. Stepwise regression was used to exclude features without significant difference in predicting changes of pulmonary nodules. Classifiers model and 5 fold cross validation method were used to obtain the highest performance in predicting outcomes of pulmonary nodules. Receiver operating characteristic (ROC) curve was performed to evaluate the diagnostic performance of the model.Results:After features exclusion and selection, three radiomics features were used to establish classifiers between stable group and change group. It was showed that the linear discriminate analysis was the optimal model with the specificity, sensitivity, accuracy and area under the ROC curve (AUC) as 0.980, 0.460, 0.813 and 0.770 respectively. One radiomics feature was chosen to establish classifiers between improved group and progressive group. The coarse gaussian support vector machine (CGSVM) was the optimal model, with the specificity, sensitivity, accuracy and AUC as 0.540, 0.920, 0.713 and 0.880 respectively.Conclusions:CT radiomics analysis has the potential to predict the outcomes of simultaneous indeterminate pulmonary nodules in breast cancer patients after treatment, and it may contribute to preoperative treatment and postoperative follow-up planning.

OBJECTIVEProviding evidences for further modification of China Infectious Diseases Automated-alert and Response System (CIDARS) via analyzing the outbreak detection performance of Moving Percentile Method (MPM) by optimizing thresholds in different provinces.

METHODSWe collected the amount of MPM signals, response results of signals in CIDARS, cases data in nationwide Notifiable Infectious Diseases Reporting Information System, and outbreaks data in Public Health Emergency Reporting System of 16 infectious diseases in 31 provinces in Chinese mainland from January 2011 to October 2013. The threshold with the optimal sensitivity, the shortest time to detect outbreak and the least number of signals was considered as the best threshold of each disease in Chinese mainland and in each province.

RESULTSAmong all the 16 diseases, the optimal thresholds of 10 diseases, including dysentery, dengue, hepatitis A, typhoid and paratyphoid, meningococcal meningitis, Japanese encephalitis, scarlet fever, leptospirosis, hepatitis, typhus in country level were the 90(th) percentile (P90), which was the same as provincial level for those diseases.For the other 6 diseases, including other infectious diarrhea, influenza, acute hemorrhagic conjunctivitis, mumps, rubella and epidemic hemorrhagic fever, the nationwide optimal thresholds were the 80th percentile (P80), which was different from that by provinces for each disease. For these 6 diseases, the number of signals generated by MPM with the optimal threshold for each province was decreased by 23.71% (45 557), 15.59% (6 124), 14.07% (1 870), 9.44% (13 881), 8.65% (1 294) and 6.03% (313) respectively, comparing to the national optimal threshold, while the sensitivity and time to detection of CIDARS were still the same.

CONCLUSIONOptimizing the threshold by different diseases and provinces for MPM in CIDARS could reduce the number of signals while maintaining the same sensitivity and time to detection.

China ; Communicable Diseases ; Disease Notification ; Disease Outbreaks ; prevention & control ; Humans ; Population Surveillance ; methods