Objective:To develop an approach for the automatic diagnosis of bone metastasis and to design a parameter of quantitative evaluation for tumor burden on bone scans based on deep learning technology.Methods:A total of 621 cases (389 males, 232 females, age: 12-93 years) of bone scan images from the Department of Nuclear Medicine in Tenth People′s Hospital of Tongji University from March 2018 to July 2019 were retrospectively analyzed. Images were divided into bone metastasis group and non-bone metastasis group. Eighty percent of the cases were randomly extracted from both groups as the training set, and the rest of cases were used as the test set. A deep residual convolutional neural network ResNet34 was used to construct the classification model and the segmentation model. The sensitivity, specificity and accuracy were calculated and the performance differences of the classification model in different age groups (15 cases of <50 years, 75 cases of ≥50 and <70 years, 33 cases of ≥70 years) were analyzed. The regions of metastatic bone lesions were automatically segmented by the segmentation model. The Dice coefficient was used to evaluate the effect of the segmentation model and the manual labeled results. Finally, the bone scans tumor burden index (BSTBI) was calculated to assess the tumor burden of bone metastases.Results:There were 280 cases with bone metastases and 341 cases with non-bone metastases, including 498 in training set and 123 in test set. The classification model could accurately identify bone metastases, with the sensitivity, specificity and accuracy of 92.59%(50/54), 85.51%(59/69) and 88.62%(109/123), respectively, and it performed best in the <50 years group (sensitivity, 2/2; specificity, 12/13; accuracy, 14/15). The specificity in the ≥70 years group (8/12) was the lowest. The Dice coefficient of bone metastatic area and bladder area were 0.739 and 0.925 in the segmentation model, which performed similarly in the three age groups. Preliminary results showed that the value of BSTBI increased with the increase of the number of bone metastatic lesions and the degree of 99Tc m-MDP uptake. The machine learning model in this study took (0.48±0.07) s for the entire analysis process from input to the final BSTBI calculation. Conclusions:The deep learning based on automatic diagnosis framework for bone metastases can automatically and accurately identify segment bone metastases and calculate tumor burden. It provides a new way for the interpretation of bone scans. The proposed BSTBI may be used as a quantitative evaluation indicator in the future to assess the tumor burden of bone metastases based on bone scans.

Objective:To evaluate the aesthetic outcome of the pretarsal orbicularis-tarsus fixation technique in incisional double eyelid blepharoplasty.Methods:Postoperative results were evaluated from 798 patients who underwent the orbicularis-tarsus fixation blepharoplasty from January 2015 to December 2018. Based on an incisional maneuver, soft tissue was carefully removed to expose the superior edge of tarsus, then the pretarsal orbicularis oculi muscle was anchored on the tarsus. For skin closure, both skin margins, a small bite of subcutaneous tissue and the pretarsal fascia were interruptedly sutured to enhance cicatricial adhesion.Results:All patients successfully underwent double eyelidplasty using this modified technique. The follow-up period ranged from two to forty-six months, with a mean period of twenty months. Ninety-six percent of the patients were satisfied with postoperative outcomes. Twenty-two cases of palpebral fold asymmetry and ten cases of unsatisfactory fold formation near the inner canthus were encountered. However, all the defects had been well improved by minor revisions. No supratarsal crease drooping or disappearing, suture spitting out, scar hypertrophy or crease depression were observed postoperatively.Conclusions:The orbicularis-tarsus fixation method is a reliable technique for double eyelid plasty. It enables high feasibility and long-lasting result, with lower risk of postoperative complications.

Objective:To evaluate the feasibility of a predictire model composed of non-specific test indexes in early diagnosis of gastric cancer.Methods:From the database of electronic medical record system of Shanghai Changhai Hospital, a total of 24 615 case records were included from January 1, 2010 to April 30, 2019, including 10 497 cases of gastric cancer, 5 198 cases of precancerous diseases, and 8 920 cases of health examination. Through stratified random sampling, the study population was divided into validation set, training set and test set. After data processing and quality control for all laboratory variables, the optimal machine learning algorithm and diagnostic efficiency grouping were selected through four machine learning algorithms, induding the gradient boosting decision tree, random forest, support vector machine, and artificial neural network, and the data were trained by backward stepwise regression method to build the best feature model.Result:In this study, a diagnostic model V22 consisting of 22 routine testing parameters was established. V22 could distinguish early gastric cancer from control group composed of healthy group and precancerous disease, AUC was 0.808, the sensitivity was 85.7%, and the specificity was 91.9%. For CEA negative gastric cancer, V22 also showed high diagnostic accuracy, AUC was 0.801.Conclusion:V22 was a valuable model for the diagnosis of gastric cancer. V22 was an auxiliary diagnostic model of gastric cancer with clinical application value, which could well distinguish early gastric cancer from the control group composed of healthy group and precancerous disease, and the detection rate of early gastric cancer was better than the traditional tumor marker CEA.

Objective: This study is to investigate the outcome of unilateral cleft lip repairment using trilobate flap and nasal-labial muscle tension system reconstruction. Methods: From January 2015 to December 2017, 264 children with unilateral cleft lip were performed cheiloplasty. For all the patients, trilobate flap was adopted. The tension lines group among nasal-labial muscles were reconstructed following a three-dimensional pattern. Long-term results were evaluated using postoperative photos. Three measurements were collected, to compare the nasolabial contour on the cleft side and noncleft side. Results: Six to 12 months follow-up was completed in 112 patients. Asymmetry percentage of lip height was (2.98±1.65)%, while nostril width ratio was 1.02±0.05, and nostril height ratio was 0.94±0.04. Aesthetic contour of vermillion and philtrum were satisfied. Conclusions Trilobate flap technique combined with the reconstruction of nasal-labial muscle tension system have reliable effect on unilateral cleft lip repair. With proper application, satisfactory and stable outcomes can be achieved.

Alveolar cleft is a congenital maxillofacial deformity, associated with cleft lip and palate. Autologous bone transplantation is the gold standard for alveolar cleft repair. However, this method has many shortcomings. Autogenous platelet-rich plasma (PRP) is concentrated platelet, obtained by the centrifugation of fresh autologous whole blood. After activation, a variety of highly concentrated growth factors could be quickly released. Then the PRP gel is formed. It is able to locally conglutinate transplanted bone particles, and prevent the displacement and loss of them. It also could repair tissue defect, prevent platelet loss, promote the platelet secreting growth factors for a long time. The combination of PRP and autologous bone transplantation, to a certain extent, could make up for the limitations of bone transplantation. Therefore, the concept, preparation, application, progress, mechanism and advantages of PRP in alveolar cleft repair were detailedly reviewed.

Objective: Explore the method for volumetric measurement of alveolar bone defect. Methods: This study applied 2 advanced preoperative volume measurement methods: three-dimensional (3D) printing and computer-aided engineering (CAE). Twenty-six unilateral alveolar cleft patients were enrolled in this study from April 2015 to December 2016. Their computed tomographic data were sent to 3D printing and CAE software. A simulated graft was used on the 3D-printed model, and the graft volume was measured by water displacement. The volume calculated by CAE software used mirror-reverses technique. Results: The volume of alveolar bone defect could be detected by both methods. The average volume of the simulated bone grafts by 3D-printed models was 1.61 ml, a little higher than the mean volume of 1.60 ml calculated by CAE software. The difference between the 2 volumes was from -0.34 ml to 0.54 ml. The paired Student t test showed no statistically significant difference between the volumes derived from the 2 methods. Conclusions This study demonstrated that the volume of alveolar bone defect is about 1.6ml in unilateral alveolar cleft patients aged 9-12 years. The mirror-reversed technique by CAE software is as accurate as the simulated operation on 3D-printed models. These findings further validate the use of 3D printing and CAE technique in alveolar defect repairing.

Objective: This study is to repair nostril sill deformity in the cleft lip patients by reconstructing the first auxiliary muscle tension line group and to assess the therapeutic outcome. Methods: 437 cleft lip patients with nostril sill deformity underwent the surgery from January 1, 2012 to November 1, 2016.They were treated using the technique of first auxiliary muscle tension line group reconstruction to repair the deformity. Aesthetic correction evaluations were rated by the GAIS. Random digit was used to randomly select 24 patients during the follow-up for three-dimensional measurement and analysis. The preoperative and postoperative symmetry of the nostril sills were evaluated by paired t test. Results: Mucosal ischemia or wound infection occurred in 11 cases, left obvious scar on the nostril floor. Surgical incisions of the other patients were primary healing. After 6 months to 3 years follow up, GAIS questionnaires of 378 patients demonstrated that 84% patients reported great or moderate improvement of nostril sills. Three-dimensional measurements of 24 patients suggested that there were no significant differences of the nostril sill and the nasal ala between the cleft side and the normal side. Conclusions First auxiliary tension line group reconstruction, which is to restore biomechanical balance rather than merely increase muscle volume, is an effective method of nostril sill repair in the cleft lip patients. Post-operatively, the patients achieved a stable and natural nostril sill, a middle columella, as well as a narrowed nasal ala.

Objective To explore the clinical outcome of anterior palatal fistula repair using alveolar ridge approach .This method provides a good aesthetic effect .Methods Alveolar ridge approach was utilized to repair anterior palatal fistula and correct oronasal fistula .Results a total of 25 cases of palatal fistula were repaired .The gum approach for repairing palatal fistula is a good choice without scar formation restricted mouth opening , scar contracture , or masticatory disorders , almost reaching to an ideal state in an anatomical and physiological way .Conclusions the application of alveolar ridge approach for palatal fistula repair is a safe and reliablemethod with high survival rate , which could provide an acceptable aestheticresult .

Objective To explore the clinical outcome of anterior palatal fistula repair using alveolar ridge approach .This method provides a good aesthetic effect .Methods Alveolar ridge approach was utilized to repair anterior palatal fistula and correct oronasal fistula .Results a total of 25 cases of palatal fistula were repaired .The gum approach for repairing palatal fistula is a good choice without scar formation restricted mouth opening , scar contracture , or masticatory disorders , almost reaching to an ideal state in an anatomical and physiological way .Conclusions the application of alveolar ridge approach for palatal fistula repair is a safe and reliablemethod with high survival rate , which could provide an acceptable aestheticresult .

BACKGROUND:Vertebral compression fractures are the most common vertebral fractures in the elderly patients with osteoporosis, and the correlation between the compression of anterior border of vertebral body and adjacent vertebral refractures is not clear.
OBJECTIVE:To establish a model of different compression of T12vertebral body with finite element method, and analyze the relationship between the compression of T12vertebral body and the stress of adjacent vertebral plate.
METHODS:Based on thoracolumbar CT data of normal adult volunteers, MIMICS/3-matic was imported. Through image segmentation, repair and three-dimensional mesh of accessto thoracic and lumbar T11-L1data, grid assigned material properties was imported to ABAQUS so as to establish ligament, joint and other small features and obtain realistic three-dimensional finite element model. The six degrees of freedom, including anteflexion, posterior extension, left and right flexion, left and right rotation, were loaded, to verify the validity of the normal model. With the frontier of vertebral body compression to 90%, 80%, 70%…10% of the nine states, MISES stressesof the T11andL1segment intervertebral disc endplate were extracted; the relationship curve of compression state and endplate stress was obtained.
RESULTS AND CONCLUSION:(1) The model was highly realistic and could reflect the actual stress state. (2) The stress value of T11vertebral body and L1vertebral body was positively correlated with the compression of T12vertebral body. Increased stress may lead to an increased likelihood of end plate fractures, which increases the risk of fractures in the adjacent vertebralbodies.