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Intraperitoneal Chemotherapy for Gastric Cancer with Peritoneal Carcinomatosis: Is HIPEC the Only Answer? 被引量:3
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作者 Ka-On Lam Betty Tsz-Ting Law +1 位作者 Simon Ying-Kit Law dora lai-wan kwong 《Modern Chemotherapy》 2014年第2期11-19,共9页
Gastric cancer with peritoneal carcinomatosis is notorious for its dismal prognosis. While the pathophysiology of peritoneal dissemination is still controversial, the rapid downhill course is universal. Patients usual... Gastric cancer with peritoneal carcinomatosis is notorious for its dismal prognosis. While the pathophysiology of peritoneal dissemination is still controversial, the rapid downhill course is universal. Patients usually suffer abdominal distension, intestinal obstruction and various complications before they succumb after a median of 3 - 6 months. Although not adopted in most international treatment guidelines, intraperitoneal chemotherapy has growing evidence compared with conventional systemic chemotherapy for the treatment of peritoneal carcinomatosis. Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy is well-established for clinical benefit but is technically demanding with substantial treatment-related morbidities and mortality. On the other hand, normothermic intraperitoneal chemotherapy in the form of bidirectional neoadjuvant treatment is promising with various newer chemotherapeutic agents. Regardless of the treatment technique applied, the essential element of success is meticulous patient selection and availability of expertise. Future direction is along the line of personalized treatment with the application of translational science. 展开更多
关键词 Gastric Cancer Peritoneal CARCINOMATOSIS Hyperthermic INTRAPERITONEAL CHEMOTHERAPY (HIPEC) NEOADJUVANT Intraperitoneal/Systemic CHEMOTHERAPY (NIPS) Cytoreductive Surgery
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Delineation of Biological Tumor Volume from Positron Emission Tomography Images in Nasopharyngeal Carcinoma
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作者 Ka-Wai Wong dora lai-wan kwong +3 位作者 Pek-Lan Khong Victor Ho-Fun Lee Sherry Chor-Yi Ng Martin Wai-Ming Law 《Journal of Biomedical Science and Engineering》 2014年第11期857-865,共9页
Objective: To develop an auto-segmentation method for delineating the biological tumor volume of nasopharyngeal carcinoma from positron emission tomography images. Methods: A phantom consisting of a water tank with fi... Objective: To develop an auto-segmentation method for delineating the biological tumor volume of nasopharyngeal carcinoma from positron emission tomography images. Methods: A phantom consisting of a water tank with fixed background fluorodeoxyglucose [18F-FDG] activity and spheres with diameters ranging from 2.1 to 5 cm with varying activities of FDG were used to simulate tumors of different sizes and FDG uptake. The phantom was scanned with a PET/CT scan at different sphere to background intensity ratios. An optimum fixed percentage threshold (FT) approach and a signal-to-background ratio (SBR) approach were developed to estimate the true size of the spheres from the PET images. Both approaches were further evaluated in patient images for validation. Twenty-two patients with NPC from stage T1 to T4 were included. The PET based biological tumor volumes (BTV) were delineated with both FT (BTVFT) and SBR (BTVSBR) approaches and compared with the gross tumor volume localized from MRI (GTVMR). The mean volumes of BTVFT and BTVSBR were compared and the degree of overlap between GTVMR and both BTVs was evaluated. Paired t-tests were used for statistical analysis. Results: The optimal FT value was 36.5% of maximal intensity, and SBR approach was represented by an inverse linear regression model. The estimated volume of spheres segmented by both approaches shows no significant difference from the true volume of spheres (p > 0.05), but the average absolute errors were smaller from SBR approach than FT approach (p = 0.008). GTVMR was larger than both BTVFT (p = 0.003) and BTVSBR (p SBR with GTVMR is significantly larger than with BTVFT (0.52 and 0.42 respectively, p MR for radiotherapy planning purpose. 展开更多
关键词 Segmentation Approach SBR Fixed THRESHOLD NPC PET
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