Efficacy and safety of BeEAM regimen in pretreatment of autologous hematopoietic stem cell transplantation for patients with lymphoma / 白血病·淋巴瘤

Objective:To investigate the efficacy and safety of BeEAM (bendamustine+cytarabine+etoposide+melphalan) regimen in pretreatment of autologous hematopoietic stem cell transplantation for patients with lymphoma.Methods:The clinical data of 15 patients with lymphoma who underwent autologous hematopoietic stem cell transplantation after pretreatment with BeEAM regimen from January 2020 to February 2021 in Gansu Provincial Hospital were retrospectively analyzed. The transplant-related adverse reactions and hematopoietic reconstitution were evaluated.Results:During the pretreatment process of 15 patients, 13 patients had gastrointestinal adverse reactions such as nausea, vomiting and diarrhea, 2 patients had hypokalemia, and 1 patient had abnormal liver function, but all of them were grade 1-2, and no grade 3-4 adverse reactions occurred. One patient had poor platelet implantation, and the remaining 14 patients all achieved hematopoietic reconstruction. After transplantation, the median time of peripheral blood neutrophils and platelets good implantation in patients was 10 d (9-14 d) and 11 d (9-17 d), respectively. Until March 2021, all patients were alive during follow-up.Conclusions:The efficacy of BeEAM regimen in pretreatment of autologous hematopoietic stem cell transplantation for patients with lymphoma is good, and the adverse reactions are tolerable.

Diagnostic model for intelligent recognition of thyroid function by thyroid imaging based on deep neural network / 中华核医学与分子影像杂志

Objective To develop a diagnostic model based on deep neural network for intelligent discrimination of thyroid function. Methods A total of 1616 patients ( 283 males, 1333 females, average age:52 years) who underwent thyroid imaging between May 2016 and June 2018 were selected. According to the clinical diagnosis, the 1616 cases included 299 normal thyroid cases, 876 hyperthyroidism cases and 441 hypothyroidism cases. Feature extraction and learning training were performed on 1000 training set sam-ples by two deep neural network models ( AlexNet;deep convolution generative adversarial networks ( DCGAN) ) using deep learning algorithm. Performance verifications were implemented on 616 test set samples. The con-sistency between the verification results of the two models and the clinical diagnosis was analyzed by Kappa test. Meanwhile, the time advantage of the intelligent diagnosis models was analyzed. Results The average diagnostic time of AlexNet model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 82.29％(79/96), 94.62％(369/390), 100％(130/130), respectively. The Kappa value between results of AlexNet model and clinical diagnosis was 0.886 ( P<0.05) . The average di-agnostic time of DCGAN model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 85.42％(82/96), 95.64％(373/390), 99.23％(129/130), respectively. The Kappa value between results of DCGAN model and clinical diagnosis was 0.904 ( P<0.05) . Conclusion The deep neural network intelligent diagnosis model can quickly determine the functional status of thyroid gland in thyroid imaging, and it has a high recognition accuracy, thus providing a new method for thyroid image review.

The Special Sign of MRCP in Carcinoma of Pancreatic Head / 实用放射学杂志

Objective To research the special manifestations of magnetic resonance cholangiopancreatography(MRCP) in carcinoma of pancreatic head.Methods MRCP in 22 cases with pancreatic head carcinoma confirmed by operation and pathology (including SE sequences with T1WI and fat saturation,FSE with T2WI and fat saturation and MRCP in coronal sectior) were performed before operations.Additional CE MRA on abdominal vessels including abdominal ateries, portal veins and superior mesenteric arteries and their veins in 16 cases also examined before operations. Results Carcinomas of the pancreatic head were diagnosed correctly by MRCP in 21 cases, and 1 case was misdiagnosed as chronic pancreatitis. MRCP all demonstrated abrupt interruption at pancreatic head segments of dilated left common bile duct and main pancreatic duct at the pancreatic head ones, their left segments were dilate with higher signal and both didn't cross each other, because they were destroyed by carcinomas of pancreatic head. Destruction and no cross each other of pancreatic head segments of choledochus and main pancreas duct,it was called "no cross sign". CE MRA demonstrated destruction of abdominal ateries in 3 cases, portal vein in 3 cases and superior mesenteric vein in 4 cases and not being resected.Conclusion "No cross sign"on MRCP examination is of important value in diagnosis of carcinoma of the pancreatic head.

Genetic analysis of RET exon 11 in sporadic medullary thyroid carcinomas / 中国普通外科杂志

Objective To explore the mutation of RET gene exon 11 in sporadic medullary thyroid carcinoma and to clarify the relationship between RET mutation and sporadic medullary thyroid carcinomas. Methods Genomic DNA was extracted from 17 sporadic medullary thyroid carcinoma tissues. Exon 11 of RET gene was amplified by polymerase chain reaction, analyzed by automated DNA sequencer after purification and results were compared with normal sequence. Results RET mutation was detected in 1 of 17 cases and the mutation revealed the wrong base at the position 15165(G→A) and the missense codon at 691 (ser 691 →lys). Conclusion The low rate of RET exon 11 mutation in sporadic medullary thyroid carcinomas indicate that the key gene mutations may locate on other exons of RET gene or other genes.