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Objective@#To investigate the clinicopathologic features and possible causes of granulomatous lobular mastitis(GLM).@*Methods@#Three hundred cases of GLM were collected from surgical specimens diagnosed at Longhua Hospital, Shanghai University of Traditional Chinese Medicine from January 2015 to November 2017. Morphologic features were reviewed using HE staining. A total of 116 cases were investigated by Gram staining. The expression of CD3, CD20, CD68, IgG, IgG4, CD38 and CD138 was detected by immunohistochemical staining.@*Results@#The age of the patients was 23 to 47 years and the median age was 32 years. All patients were female, 96.7% (290/300) had a history of lactation.There were 143 cases of left breasts, 138 cases of right breast and 19 cases of bilateral breasts. Serum prolactin increased in 39.7%(119/300) patients. Within 15.7%(47/300) of patients were associated with nodular erythema or joint swelling and pain of the lower extremities. Pathological observation showed that lobular-centric suppurative granulomatous inflammation, accompanied by dilatation of intralobular and interlobular ducts. There were 16 cases accompanied with duct ectasia. Immunohistochemistry showed CD3-positive lymphocytes were more than CD20-positive lymphocytes in the peripheral aggregation zone of neutrophils within granulomatous lesions. Gram positive bacteria were found in the lipid vacuoles of the 51.7%(60/116) patients.@*Conclusions@#GLM has distinctive histologic features. It may be related to corynebacterium infection, or accompanied by the increase of serum prolactin and erythrocyte sedimentation rate. The age, location and history of the disease are importance in the diagnosis and differential diagnosis.
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Objective To evaluate the MRI application in the common non-traumatic brachial plexopathies.Methods Twenty-seven patients with non-traumatic brachial plexopathies were retrospectively analyzed,which consisted of 10 males and 17 females with age range from 22 to 70 years old.Among the patients,2 were neurofibromatosis,8 were schwannoma,3 were metastases,2 were radiation plexopathy,1 was multifocal motor neuropathy (MMN),and 11 were typical thoracic outlet syndrome (TOS).Before treatment,all patients underwent MRI of brachial plexus,in which 8 patients underwent Gd-DTPA enhanced MRI.Results In 2 cases of neurofibromatosis,the tumors appeared as fusiform,bead-like masses,growing along the course of brachial plexus with involvement of rootlets in vertebral canal,and iso-to little hypointensity on T1WI,inhomogeneous hyperintensity on T2WI and inhomogeneously enhanced.Schwannoma of 8 cases displayed as fusiform mass,eccentric to the original nerve with sharply defined edge,and hypointensity or inhomogeneous hyperintensity on T1WI,inhomogeneous hyperintensity on T2WI with cystic necrosis in 3 cases which was inhomogeneously enhanced.Two of the 3 cases of metastases manifested as multiple masses besides brachial plexus,the other one appeared as widespread lesion infiltrating brachial plexus and surrounding structures.Two cases of radiation plexopathy displayed as diffused thickened nerves,with increased signal intensity on short time inversion recovery (STIR),clear structure and no mass surrounding the plexus.One case of MMN showed thickened nerves with increased signal intensity on STIR.Eleven cases of typical TOS manifested as arched elevation of C8,T1 and inferior trunk,with thickened nerves and increased signal intensity on STIR.Elevated subclavian artery could be seen in 8 cases.And in one case of TOS,a mass in the end of cervical rib compressed the local brachial plexus.Conclusions MRI can clearly show the location,involved scope and the relationship with adjacent structures.So MRI can provide reliable information for clinical diagnosis and treatment.
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Objective To evaluate MRI in diagnosing brachial plexus preganglionic injury.Methods Twenty cases with brachial plexus preganglionic injury underwent M R scanning before operation.MR imaging was obtained by GE Signa EXCITE 1.5 T scanner.The scanning sequences included SE T1 WI,FSE T2 WI,T2 WI STIR and 3D Fast imaging employing steady state with phase cycled(3D-FIESTA-c).All the patients had exploration of the supraclavicular plexus and electrophysiology examination. And the accuracy, sensitivity and specificity of MRI in diagnosing preganglionic brachial plexus iniury were calculated with the standards of surgical and EMG results.Results Among the 73 pairs of i,jured roots.MR imaging detected the abnormalities in 63 pairs.The accuracy, sensitivity and specificity of MRI in diagnosing preganglionic brachial plexus injury were 86.5/(83/96),86.3/(63/73).87.0/(20/23),respectively.The direct signs of brachial plexus preganglionic injury included (1) lack or mutilation of netwe root in 54 pairs (85.7/),(2)coarsening,bending,stiff course and unable to be traced to the intervertebral foramen continuously in 9 pairs (14.3/).The indirect signs included (1)cystic cerebrospinal fluid gathering in the vertebral canal,posttraumatic spinal meningocele in 46 pairs (73.0/),(2)abnormal shape of nerve sleeve in 13 pairs(20.6/),(3)displacement and deformity of spinal cord in 50 pairs(79.4/),(4)abnormal signal of paravertebral muscles in 1 9 patients.Conclusion MRI can distinctly show the nerve rootlets within the vertebral canal,so it is helpful in making a correct diagnosis of brachial plexus preganglionic injuries.
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Content-based image retrieval aims at searching the similar images using low level features,and medical image retrieval needs it for the retrieval of similar images. Medical images contain not only a lot of content data, but also a lot of semantic information. This paper presents an approach by combining digital imaging and communications in medicine (DICOM) features and low level features to perform retrieval on medical image databases. At the first step, the semantic information is extracted from DICOM header for the pre-filtering of the images, and then dual-tree complex wavelet transfrom(DT-CWT) features of pre-filtered images and example images are extracted to retrieve similar images. Experimental results show that by combining the high level semantics (DICOM features) and low level content features (texture) the retrieval time is reduced and the performance of medical image retrieval is increased.