AIM： to evaluate the role of endoscopic ultrasonographyguided fine needle aspiration （EUS-FNA） in the preoperative diagnosis of gastrointestinal stromal tumor （GIST）.METHODS： From September 2002 to June 2006, Fi...AIM： to evaluate the role of endoscopic ultrasonographyguided fine needle aspiration （EUS-FNA） in the preoperative diagnosis of gastrointestinal stromal tumor （GIST）.METHODS： From September 2002 to June 2006, Fiftythree consecutive EUS-FNAs of GI tract subepithelial hypoechoic tumors with continuity to proper muscle layer suspected as GIST by standard EUS were evaluated prospectively. The reference standards for the final diagnosis were surgery （n = 31）, or clinical follow-up （n = 22）. Additionally, immunophenotyping of specimens obtained by EUS-FNA and surgical resection specimens were compared.RESULTS： In 2 cases puncture was not performed because of anatomical problems. The collection rate of adequate specimens from the GI tract subepithelial hypoechoic tumor with continuity to proper muscle layer was 82% （42/51）. The diagnostic rate for the tumor less than 2 cm, 2 to 4 cm, and 4 cm or more were 71% （15/21）, 86% （18/21）, and 100% （9/9）,respectively. In 29 surgically resected cases, the sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of EUS-FNA using immunohistochemical analysis of GIST were 100%（24/24）, 80% （4/5）, 96% （24/25）, 100% （4/4）, and 97% （28/29）, respectively. No major complications were encountered.CONCLUSION： EUS-FNA with immunohistochemical analysis is a safe and accurate method in the pretherapeutic diagnosis of GIST. It should be taken into consideration in decision making, especially in early diagnosis following minimal invasive surgery for GIST.展开更多
Diagnosis and treatment of breast cancer have been improved during the last decade; however, breast cancer is still a leading cause of death among women in the whole world. Early detection and accurate diagnosis of th...Diagnosis and treatment of breast cancer have been improved during the last decade; however, breast cancer is still a leading cause of death among women in the whole world. Early detection and accurate diagnosis of this disease has been demonstrated an approach to long survival of the patients. As an attempt to develop a reliable diagnosing method for breast cancer, we integrated support vector machine (SVM), k-nearest neighbor and probabilistic neural network into a complex machine learning approach to detect malignant breast tumour through a set of indicators consisting of age and ten cellular features of fine-needle aspiration of breast which were ranked according to signal-to-noise ratio to identify determinants distinguishing benign breast tumours from malignant ones. The method turned out to significantly improve the diagnosis, with a sensitivity of 94.04%, a specificity of 97.37%, and an overall accuracy up to 96.24% when SVM was adopted with the sigmoid kernel function under 5-fold cross validation. The results suggest that SVM is a promising methodology to be further developed into a practical adjunct implement to help discerning benign and malignant breast tumours and thus reduce the incidence of misdiagnosis.展开更多
This article reported that 2 cases with skin singular leiomyoma confirmed by pathology were misdiagnosed by fine needle aspiration biopsy, and the combination analysis of clinical history and pathological features of ...This article reported that 2 cases with skin singular leiomyoma confirmed by pathology were misdiagnosed by fine needle aspiration biopsy, and the combination analysis of clinical history and pathological features of cells was as follows.展开更多
文摘AIM： to evaluate the role of endoscopic ultrasonographyguided fine needle aspiration （EUS-FNA） in the preoperative diagnosis of gastrointestinal stromal tumor （GIST）.METHODS： From September 2002 to June 2006, Fiftythree consecutive EUS-FNAs of GI tract subepithelial hypoechoic tumors with continuity to proper muscle layer suspected as GIST by standard EUS were evaluated prospectively. The reference standards for the final diagnosis were surgery （n = 31）, or clinical follow-up （n = 22）. Additionally, immunophenotyping of specimens obtained by EUS-FNA and surgical resection specimens were compared.RESULTS： In 2 cases puncture was not performed because of anatomical problems. The collection rate of adequate specimens from the GI tract subepithelial hypoechoic tumor with continuity to proper muscle layer was 82% （42/51）. The diagnostic rate for the tumor less than 2 cm, 2 to 4 cm, and 4 cm or more were 71% （15/21）, 86% （18/21）, and 100% （9/9）,respectively. In 29 surgically resected cases, the sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of EUS-FNA using immunohistochemical analysis of GIST were 100%（24/24）, 80% （4/5）, 96% （24/25）, 100% （4/4）, and 97% （28/29）, respectively. No major complications were encountered.CONCLUSION： EUS-FNA with immunohistochemical analysis is a safe and accurate method in the pretherapeutic diagnosis of GIST. It should be taken into consideration in decision making, especially in early diagnosis following minimal invasive surgery for GIST.
基金Joint Research Project Between Chongqing University and National University of Singapore (No. ARF-151-000-014-112)the Basic Research & Applied Basic Research Program of Chongqing University (No.71341103)Natural Science Foundation of Chongqing S & T Committee(No. CSTC,2006BB5240)
文摘Diagnosis and treatment of breast cancer have been improved during the last decade; however, breast cancer is still a leading cause of death among women in the whole world. Early detection and accurate diagnosis of this disease has been demonstrated an approach to long survival of the patients. As an attempt to develop a reliable diagnosing method for breast cancer, we integrated support vector machine (SVM), k-nearest neighbor and probabilistic neural network into a complex machine learning approach to detect malignant breast tumour through a set of indicators consisting of age and ten cellular features of fine-needle aspiration of breast which were ranked according to signal-to-noise ratio to identify determinants distinguishing benign breast tumours from malignant ones. The method turned out to significantly improve the diagnosis, with a sensitivity of 94.04%, a specificity of 97.37%, and an overall accuracy up to 96.24% when SVM was adopted with the sigmoid kernel function under 5-fold cross validation. The results suggest that SVM is a promising methodology to be further developed into a practical adjunct implement to help discerning benign and malignant breast tumours and thus reduce the incidence of misdiagnosis.
文摘This article reported that 2 cases with skin singular leiomyoma confirmed by pathology were misdiagnosed by fine needle aspiration biopsy, and the combination analysis of clinical history and pathological features of cells was as follows.
