Ovarian cancer is one of the three most common gynecological cancers in the world,and is regarded as a priority in terms of women’s cancer.In the past few years,many researchers have attempted to develop and apply ar...Ovarian cancer is one of the three most common gynecological cancers in the world,and is regarded as a priority in terms of women’s cancer.In the past few years,many researchers have attempted to develop and apply artificial intelligence(AI)techniques to multiple clinical scenarios of ovarian cancer,especially in the field of medical imaging.AI-assisted imaging studies have involved computer tomography(CT),ultrasonography(US),and magnetic resonance imaging(MRI).In this review,we perform a literature search on the published studies that using AI techniques in the medical care of ovarian cancer,and bring up the advances in terms of four clinical aspects,including medical diagnosis,pathological classification,targeted biopsy guidance,and prognosis prediction.Meanwhile,current status and existing issues of the researches on AI application in ovarian cancer are discussed.展开更多
Objectival. To prepare a radioimmunoguided surgery （RIGS） system including radio-nuclides hand- held gamma detecting probe （GDP） with signal processing control unit, specific monoclonal antibody （MAb）, technique...Objectival. To prepare a radioimmunoguided surgery （RIGS） system including radio-nuclides hand- held gamma detecting probe （GDP） with signal processing control unit, specific monoclonal antibody （MAb）, technique of labeling as well as detection of ovarian carcinoma in nude mice bearing human ovari-an carcinoma. Metals. MAb COCl83B2, produced in our laboratory was used to prepare the F （ah’）2, fragment by ficin digestion. 99mTc labeling of COC183 B2-F（ab’）2, and normal mice IgG were prepared according to im- proved pretining method. GDP and control unit were made by Chinese Atomic Energy Research Institute. Different groups of nude mice bearing human ovarian carcinoma with ascites were administered with differ- ent dosages of 99mTo COCl83 B2-F（ab’）2, and their tissues measured by GDP in vivo and compared with gamma well counts after dissection in vitro. Results. 99mTc labeled COCl83B2-F（ab’）2, yielded a labeling rate of over 90%, and a good immunoac- tivity. The detections of carcinoma tissue by GDP showed a T/NT ratio of 2: 1 as positive for cancer. The smallest carcinoma detected was 0. 2cm × 0.1 cm and the nearest distance between carcinoma and normal tissue was 0. 2cm. Conclusions. The above studies proved that ficin can be used to digest MAbs with high yields and good immunoactivity of F（ab’）2. Our RIGS system with 99mTo labeled COC183 B2-F（ab’）2 and GDP can hope-fully be used clinically for ovarian carcinoma detection.展开更多
文摘Ovarian cancer is one of the three most common gynecological cancers in the world,and is regarded as a priority in terms of women’s cancer.In the past few years,many researchers have attempted to develop and apply artificial intelligence(AI)techniques to multiple clinical scenarios of ovarian cancer,especially in the field of medical imaging.AI-assisted imaging studies have involved computer tomography(CT),ultrasonography(US),and magnetic resonance imaging(MRI).In this review,we perform a literature search on the published studies that using AI techniques in the medical care of ovarian cancer,and bring up the advances in terms of four clinical aspects,including medical diagnosis,pathological classification,targeted biopsy guidance,and prognosis prediction.Meanwhile,current status and existing issues of the researches on AI application in ovarian cancer are discussed.
文摘Objectival. To prepare a radioimmunoguided surgery （RIGS） system including radio-nuclides hand- held gamma detecting probe （GDP） with signal processing control unit, specific monoclonal antibody （MAb）, technique of labeling as well as detection of ovarian carcinoma in nude mice bearing human ovari-an carcinoma. Metals. MAb COCl83B2, produced in our laboratory was used to prepare the F （ah’）2, fragment by ficin digestion. 99mTc labeling of COC183 B2-F（ab’）2, and normal mice IgG were prepared according to im- proved pretining method. GDP and control unit were made by Chinese Atomic Energy Research Institute. Different groups of nude mice bearing human ovarian carcinoma with ascites were administered with differ- ent dosages of 99mTo COCl83 B2-F（ab’）2, and their tissues measured by GDP in vivo and compared with gamma well counts after dissection in vitro. Results. 99mTc labeled COCl83B2-F（ab’）2, yielded a labeling rate of over 90%, and a good immunoac- tivity. The detections of carcinoma tissue by GDP showed a T/NT ratio of 2: 1 as positive for cancer. The smallest carcinoma detected was 0. 2cm × 0.1 cm and the nearest distance between carcinoma and normal tissue was 0. 2cm. Conclusions. The above studies proved that ficin can be used to digest MAbs with high yields and good immunoactivity of F（ab’）2. Our RIGS system with 99mTo labeled COC183 B2-F（ab’）2 and GDP can hope-fully be used clinically for ovarian carcinoma detection.
