【Abstract】Objective To study the advances of minimally invasive surgery for breast cancer. Methods The latest references on the minimally invasive surgery of breast cancer were reviewed. Results Electrochemotherapy,endoscopy, percutaneous microwave coagulation therapy, high intensity focused ultrasound, and targeting therapy were widely applied to treat breast cancer with the characteristics of minimal wound, little hemorrhage and fast rehabilitation. Conclusion The minimally invasive surgery for breast cancer will be extensively carried out in the future.
ObjectiveTo observe the accuracy of magnetic resonance imaging (MRI) for predicting pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer, and to analyze the cause of the prediction error.MethodsData from 157 breast cancer patients who underwent NAC before surgery in Mianyang Central Hospital from January 2017 to January 2019 were analyzed. MRI parameters before and after NAC and pCR conditions were collected to analyze the parameters that produced false positives and false negatives.ResultsOf the 157 patients, 37 (23.6%) achieved pCR after NAC, and 33 (21.0%) achieved radiation complete remission (rCR) after NAC. The accuracy of MRI prediction was 70.7% (111/157), the sensitivity was 82.5% (99/120), and the specificity was 32.4% (12/37). A total of 25 cases did not achieve rCR, but postoperative evaluation achieved pCR (false positive), 21 cases achieved rCR, but postoperative evaluation did not achieve pCR (false negative). Diameter of tumor, peritumoral oedema, and background parenchymal enhancement were associated with MRI false positive prediction (P<0.05); gland density and tumor rim enhancement were associated with MRI false negative prediction (P<0.05).ConclusionMRI can be used as an important method to predict pCR after NAC in breast cancer patients, and its accuracy may be related to diameter of tumor, peritumoral oedema, background parenchymal enhancement, gland density, and tumor rim enhancement.
Objective To explore the risk factors of female’s breast cancer in secondary cities of the west and establish a risk prediction model to identify high-risk groups， and provide the basis for the primary and secondary preve-ntion of breast cancer. Methods Random sampling （method of random digits table） 1 700 women in secondary cities of the west （including 1 020 outpatient cases and 680 physical examination cases） were routinely accept the questionnaire survey. Sixty-two patients were confirmed breast cancer with pathologically. Based on the X-image of the mammary gland patients and questionnaire survey to put mammographic density which classificated into high- and low-density groups. The relationships between the mammographic density， age， body mass index （BMI）， family history of breast cancer， socio-economic status （SES）， lifestyle， reproductive fertility situation， and breast cancer were analyzed， then a risk prediction model of breast cancer which fitting related risk factors was established. Results Univariate analysis showed that risk factors for breast cancer were age （P=0.006）， BMI （P=0.007）， age at menarche （P=0.039）， occupation （P=0.001）， domicile place （P=0.000）， educational level （P=0.001）， health status compared to the previous year （P=0.046）， age at first birth （P=0.014）， whether menopause （P=0.003）， and age at menopause （P=0.006）. The unconditional logistic regr-ession analysis showed that the significant risk factors were age （P=0.003）， age at first birth （P=0.000）， occupation （P=0.010）， and domicile place （P=0.000）， and the protective factor was age at menarche （P=0.000）. The initially established risk prediction model in the region which fitting related risk factors was y=-5.557＋0.042x1-0.375x2＋1.206x3＋0.509x4＋2.135x5. The fitting coefficient （R square）=0.170， it could reflect 17% of the actual situation. Conclusions The breast cancer risk prediction model which established by using related risk factors analysis and epidemiological investigation could guide the future clinical work，but there is still need the validation studies of large populations for the model.
ObjectiveTo summarize the injury characteristics and therapeutic strategy of patients injured in " 8·8” Jiuzhaigou earthquake.MethodsThe clinical data of 48 patients injured in " 8·8” Jiuzhaigou earthquake who were admitted to Mianyang Central Hospital were analyzed retrospectively. There were 25 males and 23 females with an average age of 36 years (range, 5-87 years). The average interval from injury to admission was 30 hours (range, 3-53 hours). The patients from Sichuan province accounted for 45.8% (22 cases), from other province for 52.1% (25 cases), and from abroad for 2.1% (1 case). Patients were primarily hurted by collapsing houses and flying stones. Thirty-seven patients (77.1%) had single injury, mainly involving 36 patients (75.0%) in limbs, and the other 11 patients (22.9%) had multiple injuries. Ten patients (20.8%) had open fractures, including 1 case rated as typeⅠ, 2 as typeⅡ, 3 as type Ⅲa, 2 as type Ⅲb, and 2 as type Ⅲc according to Gustilo classification criteria. The abbreviated injury scale (AIS) score was 2-3 in 37 patients of single injury, and the injury severity score (ISS) was 8-22 (mean, 13.2) in 11 patients of multiple injuries. Sixteen patients (33.3%) were diagnosed as mental disorders by Hamilton rating scale for anxiety (HAMA), including 8 cases had their anxiety scores≥29, 4 cases of 21-28, 3 cases of 14-20, and 1 case of 7-13. Of the 16 patients, 2 showed suicidal tendency.ResultsExcept 2 referrals, 30 patients received operation［28 patients (93.3%) for orthopaedic surgeries］and 16 patients received conservative treatment. The procedures included internal fixation, soft tissue debridement, external fixation, bipolar femoral head replacement, embolization of carotid cavernous sinus arteriovenous fistula, and amputation. Among the 46 patients treated in this hospital, 21 discharged from hospital at 2-12 days (mean, 6.7 days) after admission, the others received further rehabilitation in this hospital or local hospital. No undesirable consequence occurred in 16 patients with mental disorders. Five cases of infection occurred out of hospital were cured after debridement. No dead and nosocomial infection case reported.ConclusionIntensive treatment, specialist management, multidisciplinary team, and early intervention of nosocomial infection and deep venous thrombosis are the key to improve the general level of successful earthquake medical rescue.