1.Removal and diagnosis effect of staining with mixture of methylene blue and meglucamine diatrizoate for minute mammary lesion
Zhaoxuan GUO ; Dajiang ZHU ; Jing ZHU ; Jintao CHEN ; Nuo MA ; Jinwen SONG
Chinese Journal of Primary Medicine and Pharmacy 2011;18(2):145-146
Objective To discuss the effect of staining with the mixture of methylene blue and meglucamine diatrizoate on removal and diagnosis of minute mammary lesion(diameter≤ 1. 0cm). Methods 212 cases of mammary lesion were removed and diagnosed by the method of B-ultrosound and staining with the mixture of methylene blue and meglucamine diatrizoate. Results All of cases were removed and diagnosed successfully, including 7cases of early invasive ductus cancer and 1 case of ductal carcinoma in situ. Conclusion The method of staining with the mixture of methylene blue and meglucamine diatrizoate could significantly improve the accuracy of removal of minute mammary lesion and the percentage of diagnois of early breast cancer, and have high safety.
2.Clinical analysis of 84 cases of intraductalpapilloma of breast without nipple discharge
Jing ZHU ; Dajiang ZHU ; Donghua ZHOU ; Zhaoxuan GUO ; Jintao CHEN ; Nuo MA ; Zhisheng ZHOU ; Ying ZHANG
Journal of Endocrine Surgery 2015;(2):132-135
Objective To summarize the clinical characteristics , diagnosis and surgical method of intra-ductal papilloma(IP)of breast without nipple discharge .Methods The clinical data of 84 IP patients(130 le-sions)without nipple discharge admitted from Feb .2011 to Oct.2013 were analyzed retrospectively .Results The age of the 84 patients were mainly ranging from 30 to 50 years old.113(86.92%)lesions were≤10 mm in size, 84(64.42%)lesions had a distance≤20 mm to nipple, 57 accompanied by adenosis , 43 accompanied by fibro-cystic adenosis , 48 accompanied by fibroadenoma , 14 with ductal hyperplasia , and 2 with atypical ductal hyper-plasia.After a follow-up of 3 to 36 months, 5 cases had recurrence , including 4 cases of IP and 1 case of ductal carcinoma in situ.Conclusions IP without nipple discharge has no typical clinical symptoms .Ultrasound exam-ination may have positive findings , but not typical .Preoperative diagnosis is difficult and surgical biopsy is rec-ommended.Multiple and atypical ductal hyperplasia has possibility of recurrence , so follow-up is necessary.
3.The 503rd case: monoclonal IgM immunoglobulinemia, severe anemia with recurrent fever
Zhaoxuan ZHU ; Qi WANG ; Junling ZHUANG ; Bing HAN ; Miao CHEN
Chinese Journal of Internal Medicine 2023;62(11):1369-1372
A 42-year-old woman was diagnosed with Waldenstr?m macroglobulinemia (WM) with fatigue, anemia, and monoclonal IgM immunoglobulinemia 6 years prior. She experienced persistent severe anemia with only transient remission after initial chemotherapy and after multiple chemotherapy regimens and immunosuppressive therapies, which were accompanied by recurrent high fever with severe complications including urinary infection, sepsis and shock, rectal perforation, and severe obstructive jaundice. The anemia was diagnosed as warm autoimmune hemolytic anemia and aplastic crisis with inflammation anemia. She received ibrutinib 140 mg once a day, and her hemoglobin levels returned to normal. WM remained stable in very good partial remission with no infection.
4.A multi-label fusion based level set method for multiple sclerosis lesion segmentation.
Zhaoxuan GONG ; Wei GUO ; Guoxu ZHANG ; Jia GUO ; Zhenyu ZHU ; Wenjun TAN ; Guodong ZHANG
Journal of Biomedical Engineering 2019;36(3):453-459
A multi-label based level set model for multiple sclerosis lesion segmentation is proposed based on the shape, position and other information of lesions from magnetic resonance image. First, fuzzy c-means model is applied to extract the initial lesion region. Second, an intensity prior information term and a label fusion term are constructed using intensity information of the initial lesion region, the above two terms are integrated into a region-based level set model. The final lesion segmentation is achieved by evolving the level set contour. The experimental results show that the proposed method can accurately and robustly extract brain lesions from magnetic resonance images. The proposed method helps to reduce the work of radiologists significantly, which is useful in clinical application.
Algorithms
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Humans
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Magnetic Resonance Imaging
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Multiple Sclerosis
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diagnostic imaging