Background: Chest wall tumors are rare and mostly malignant. More than half of the malignancies are primary and the remainder are metastatic. Many studies have reported that metastatic lesions occur with about the sam...Background: Chest wall tumors are rare and mostly malignant. More than half of the malignancies are primary and the remainder are metastatic. Many studies have reported that metastatic lesions occur with about the same frequency as primary tumor. We evaluate common histological types of chest wall tumors in a tertiary center for respiratory and thoracic diseases (National Research Institute of Tuberculosis and Lung Disease). Method: We performed a retrospective study of chest wall tumors at National Research Institute of Tuberculosis and Lung Disease (NRITLD) from April 2001 to March 2010. The pathology slides of patients were retrieved from the pathology archive of NRITLD and reviewed by two pathologists. The lesions were classified as primary or metastatic according to the relevant clinical data and imaging findings. Result: A total of 124 chest wall tumors were identified in patients with a mean age of 47.7 years (range 4-90 years). The male/female ratio was 2:1. The most commonly affected side was the right (42.7%). There were 105 malignant tumors (84.7%), out of which 49 (46.2%) were primary and 57 (53.8%) were metastatic in origin. The majority of the metastatic lesions were epithelial tumors (36/57) (63.1%). The metastatic origin was clear in 51 cases, mostly arising from the lungs (35.7%). The most common types of primary chest wall tumors were primitive neuroectodermal tumor (15/49, 30.6%), chondrosarcoma (7/49, 14.3%), and malignant fibrous histiocytoma, undifferentiated pleomorphic sarcoma (5/49, 10.2%). The most common benign tumor was lipoma (5/18, 35.7%). Conclusion: Most common tumors of chest wall in this study were malignant, mostly metastatic epithelial neoplasms.展开更多
Image quality in positron emission tomography(PET)is affected by random and scattered coincidences and reconstruction protocols.In this study,we investigated the effects of scattered and random coincidences from outsi...Image quality in positron emission tomography(PET)is affected by random and scattered coincidences and reconstruction protocols.In this study,we investigated the effects of scattered and random coincidences from outside the field of view(FOV)on PET image quality for different reconstruction protocols.Imaging was performed on the Discovery 690 PET/CT scanner,using experimental configurations including the NEMA phantom(a body phantom,with six spheres of different sizes)with a signal background ratio of 4:1.The NEMA phantom(phantom I)was scanned separately in a one-bed position.To simulate the effect of random and scatter coincidences from outside the FOV,six cylindrical phantoms with various diameters were added to the NEMA phantom(phantom II).The 18 emission datasets with mean intervals of 15 min were acquired(3 min/scan).The emission data were reconstructed using different techniques.The image quality parameters were evaluated by both phantoms.Variations in the signal-to-noise ratio(SNR)in a 28-mm(10-mm)sphere of phantom II were 37.9%(86.5%)for ordered-subset expectation maximization(OSEM-only),36.8%(81.5%)for point spread function(PSF),32.7%(80.7%)for time of flight(TOF),and 31.5%(77.8%)for OSEM+PSF+TOF,respectively,indicating that OSEM+PSF+TOF reconstruction had the lowest noise levels and lowest coefficient of variation(COV)values.Random and scatter coincidences from outside the FOV induced lower SNR,lower contrast,and higher COV values,indicating image deterioration and significantly impacting smaller sphere sizes.Amongst reconstruction protocols,OSEM+PSF+TOF and OSEM+PSF showed higher contrast values for sphere sizes of 22,28,and 37 mm and higher contrast recovery coefficient values for smaller sphere sizes of 10 and 13 mm.展开更多
This study was to assess quantitatively the accuracy of ^(18)F-FDG PET/CT images reconstructed by TOF+PSF and TOF only, considering the noise-matching concept to minimize probable bias in evaluating algorithm performa...This study was to assess quantitatively the accuracy of ^(18)F-FDG PET/CT images reconstructed by TOF+PSF and TOF only, considering the noise-matching concept to minimize probable bias in evaluating algorithm performance caused by noise. PET images of similar noise level were considered. Measurements were made on an inhouse phantom with hot inserts of Φ10–37 mm, and oncological images of 14 patients were analyzed. The PET images were reconstructed using the OSEM, OSEM+TOF and OSEM+TOF+PSF algorithms. Optimal reconstruction parameters including iteration, subset, and FWHM of post-smoothing filter were chosen for both the phantom and patient data. In terms of quantitative accuracy, the recovery coefficient(RC) was calculated for the phantom PET images. The signal-to-noise ratio(SNR),lesion-to-background ratio(LBR), and SUV_(max)were evaluated from the phantom and clinical data. The smallest hot insert(Ф10 mm) with 2:1 activity concentration ratio could be detected in the PET image reconstructed using the TOF and TOF+PSF algorithms, but not the OSEM algorithm. The relative difference for SNR between the TOF+PSF and OSEM showed significantly higher values for smaller sizes, while SNR change was smaller for Ф22–37 mm inserts both 2:1 and 4:1 activity concentration ratio. In the clinical study, SNR gains were 1.6 ± 0.53 and 2.7 ± 0.74 for the TOF and TOF+PSF, while the relative difference of contrast was 17 ± 1.05 and 41.5 ± 1.85% for the TOF only and TOF+PSF, respectively. The impact of TOF+PSF is more significant than that of TOF reconstruction, in smaller inserts with low activity concentration ratio. In the clinical PET/CT images, the use of the TOF+PSF algorithm resulted in better SNR and contrast for lesions, and the highest SUV_(max)was also seen for images reconstructed with the TOF+PSF algorithm.展开更多
Background: Lung cancer is among the most common cancers. Search is ongoing to find biomarkers to improve the diagnosis lung cancer techniques in early stages. In this study we evaluate the sensitivity and specificity...Background: Lung cancer is among the most common cancers. Search is ongoing to find biomarkers to improve the diagnosis lung cancer techniques in early stages. In this study we evaluate the sensitivity and specificity of the MUC1 and CEA gene expressions in the peripheral blood of non-small cell lung cancer (NSCLC). Material and Methods: This study was done in Masih Daneshvari Hospital, Tehran, Iran and was case/control study that conducted on 30 NSCLC patients and 30 healthy controls. Peripheral blood was collected and total RNA was extracted then cDNA was synthesized. Sample was separately assessed by real time PCR. Results: The expression of CEA gen was positive in 24 patients indicating 80% sensitivity for this marker. The expression of CEA gen was positive in 9 controls out of 30 each. A statistically significant difference was detected between patients and healthy controls with regard to CEA mRNA expression (P 0.001). The MUC1 gen expressed in 20 out of 30 patients, while it expressed in 3 controls. The difference in MUC1 mRNA expression was statistically significant between NSCLC patients and healthy controls (P 0.001). Conclusion: MUC1 and CEA are molecular biomarkers with relatively favorable sensitivity for primary diagnosis of NSCLC.展开更多
Background and Objectives: Breast cancer is among the most common causes of cancer related mortality in women worldwide. Early detection and prompt diagnosis of tumor is the first step to prevent cancer-related morbid...Background and Objectives: Breast cancer is among the most common causes of cancer related mortality in women worldwide. Early detection and prompt diagnosis of tumor is the first step to prevent cancer-related morbidity and mortality, and a comprehensive understanding of the involved molecular mechanisms can greatly help in this respect. Breast cancer, like many other types of cancer, is caused by a combination of genetic and epigenetic changes such as inactivation of tumor suppressor genes. Materials and Methods: This study was performed on 40 breast cancer patients and 40 healthy controls. Quantitative real time reverse transcription polymerase chain reaction (real time qRT-PCR) was used to assess the expression of carcinoembryonic antigen (CEA) and mammaglobin mRNA in the peripheral blood of patients and healthy controls. The two groups were compared using t-test. Results: The two groups were not significantly different in terms of the mean age. Twenty-nine out of 40 cancer patients were positive for CEA mRNA and its sensitivity was calculated to be 72.5%. Twelve out of 40 healthy controls were positive for CEA mRNA. Twenty-six out of 40 patients were positive for mammaglobin mRNA indicative of 65% sensitivity while only five out of 40 healthy controls were positive for mammaglobin mRNA. Conclusion: Both CEA and mammaglobin mRNA had high sensitivity in cancer patients;thus, they can be used for screening and early detection of breast cancer patients. Further studies with larger sample sizes are required to confirm the current findings.展开更多
Introduction: Ovarian cancer is one of the most common malignancies in women and the fifth cause of cancer-related deaths in women worldwide. Contrary to the challenges in developing new clinical markers using the con...Introduction: Ovarian cancer is one of the most common malignancies in women and the fifth cause of cancer-related deaths in women worldwide. Contrary to the challenges in developing new clinical markers using the conventional methods, recent advances in genomics and proteomics have led to identification of candidate and promising biomarkers for the diagnosis of ovarian cancer. Human epididymis protein 4 (HE4) is such a marker that has recently been reported to correlate with recurrence or progression of epithelial ovarian cancer. The purpose of this study was to measure the expression level of HE4 gene in women with ovarian cancer. Methodology: We evaluated and compared paraffin-embedded tissue samples of 20 ovarian cancer patients with 10 samples from healthy individuals. RNA was initially extracted from the samples and cDNA was synthetized. Gene expression level was then measured using real-time polymerase chain reaction (PCR). Results: Our results demonstrated that HE4 gene expression level was significantly higher in samples of patients with ovarian cancer compared with samples from healthy individuals. Moreover, higher levels of HE4 gene expression were associated with more advanced disease and larger tumor size. Conclusion: HE4 gene over-expression has the potential to be used as a biomarker for detecting early-stage ovarian cancer in women. Future more comprehensive studies are needed to confirm our findings.展开更多
文摘Background: Chest wall tumors are rare and mostly malignant. More than half of the malignancies are primary and the remainder are metastatic. Many studies have reported that metastatic lesions occur with about the same frequency as primary tumor. We evaluate common histological types of chest wall tumors in a tertiary center for respiratory and thoracic diseases (National Research Institute of Tuberculosis and Lung Disease). Method: We performed a retrospective study of chest wall tumors at National Research Institute of Tuberculosis and Lung Disease (NRITLD) from April 2001 to March 2010. The pathology slides of patients were retrieved from the pathology archive of NRITLD and reviewed by two pathologists. The lesions were classified as primary or metastatic according to the relevant clinical data and imaging findings. Result: A total of 124 chest wall tumors were identified in patients with a mean age of 47.7 years (range 4-90 years). The male/female ratio was 2:1. The most commonly affected side was the right (42.7%). There were 105 malignant tumors (84.7%), out of which 49 (46.2%) were primary and 57 (53.8%) were metastatic in origin. The majority of the metastatic lesions were epithelial tumors (36/57) (63.1%). The metastatic origin was clear in 51 cases, mostly arising from the lungs (35.7%). The most common types of primary chest wall tumors were primitive neuroectodermal tumor (15/49, 30.6%), chondrosarcoma (7/49, 14.3%), and malignant fibrous histiocytoma, undifferentiated pleomorphic sarcoma (5/49, 10.2%). The most common benign tumor was lipoma (5/18, 35.7%). Conclusion: Most common tumors of chest wall in this study were malignant, mostly metastatic epithelial neoplasms.
基金supported by the Tehran University of Medical Sciences under Grant No.36291PET/CT and Cyclotron Center of Masih Daneshvari Hospital at Shahid Beheshti University of Medical Sciences。
文摘Image quality in positron emission tomography(PET)is affected by random and scattered coincidences and reconstruction protocols.In this study,we investigated the effects of scattered and random coincidences from outside the field of view(FOV)on PET image quality for different reconstruction protocols.Imaging was performed on the Discovery 690 PET/CT scanner,using experimental configurations including the NEMA phantom(a body phantom,with six spheres of different sizes)with a signal background ratio of 4:1.The NEMA phantom(phantom I)was scanned separately in a one-bed position.To simulate the effect of random and scatter coincidences from outside the FOV,six cylindrical phantoms with various diameters were added to the NEMA phantom(phantom II).The 18 emission datasets with mean intervals of 15 min were acquired(3 min/scan).The emission data were reconstructed using different techniques.The image quality parameters were evaluated by both phantoms.Variations in the signal-to-noise ratio(SNR)in a 28-mm(10-mm)sphere of phantom II were 37.9%(86.5%)for ordered-subset expectation maximization(OSEM-only),36.8%(81.5%)for point spread function(PSF),32.7%(80.7%)for time of flight(TOF),and 31.5%(77.8%)for OSEM+PSF+TOF,respectively,indicating that OSEM+PSF+TOF reconstruction had the lowest noise levels and lowest coefficient of variation(COV)values.Random and scatter coincidences from outside the FOV induced lower SNR,lower contrast,and higher COV values,indicating image deterioration and significantly impacting smaller sphere sizes.Amongst reconstruction protocols,OSEM+PSF+TOF and OSEM+PSF showed higher contrast values for sphere sizes of 22,28,and 37 mm and higher contrast recovery coefficient values for smaller sphere sizes of 10 and 13 mm.
基金supported by the Tehran University of Medical Sciences,Tehran,Iran(No.24166)the Masih Daneshvari Hospital,Shahid Beheshti University of Medical Sciences,Tehran,Iran
文摘This study was to assess quantitatively the accuracy of ^(18)F-FDG PET/CT images reconstructed by TOF+PSF and TOF only, considering the noise-matching concept to minimize probable bias in evaluating algorithm performance caused by noise. PET images of similar noise level were considered. Measurements were made on an inhouse phantom with hot inserts of Φ10–37 mm, and oncological images of 14 patients were analyzed. The PET images were reconstructed using the OSEM, OSEM+TOF and OSEM+TOF+PSF algorithms. Optimal reconstruction parameters including iteration, subset, and FWHM of post-smoothing filter were chosen for both the phantom and patient data. In terms of quantitative accuracy, the recovery coefficient(RC) was calculated for the phantom PET images. The signal-to-noise ratio(SNR),lesion-to-background ratio(LBR), and SUV_(max)were evaluated from the phantom and clinical data. The smallest hot insert(Ф10 mm) with 2:1 activity concentration ratio could be detected in the PET image reconstructed using the TOF and TOF+PSF algorithms, but not the OSEM algorithm. The relative difference for SNR between the TOF+PSF and OSEM showed significantly higher values for smaller sizes, while SNR change was smaller for Ф22–37 mm inserts both 2:1 and 4:1 activity concentration ratio. In the clinical study, SNR gains were 1.6 ± 0.53 and 2.7 ± 0.74 for the TOF and TOF+PSF, while the relative difference of contrast was 17 ± 1.05 and 41.5 ± 1.85% for the TOF only and TOF+PSF, respectively. The impact of TOF+PSF is more significant than that of TOF reconstruction, in smaller inserts with low activity concentration ratio. In the clinical PET/CT images, the use of the TOF+PSF algorithm resulted in better SNR and contrast for lesions, and the highest SUV_(max)was also seen for images reconstructed with the TOF+PSF algorithm.
文摘Background: Lung cancer is among the most common cancers. Search is ongoing to find biomarkers to improve the diagnosis lung cancer techniques in early stages. In this study we evaluate the sensitivity and specificity of the MUC1 and CEA gene expressions in the peripheral blood of non-small cell lung cancer (NSCLC). Material and Methods: This study was done in Masih Daneshvari Hospital, Tehran, Iran and was case/control study that conducted on 30 NSCLC patients and 30 healthy controls. Peripheral blood was collected and total RNA was extracted then cDNA was synthesized. Sample was separately assessed by real time PCR. Results: The expression of CEA gen was positive in 24 patients indicating 80% sensitivity for this marker. The expression of CEA gen was positive in 9 controls out of 30 each. A statistically significant difference was detected between patients and healthy controls with regard to CEA mRNA expression (P 0.001). The MUC1 gen expressed in 20 out of 30 patients, while it expressed in 3 controls. The difference in MUC1 mRNA expression was statistically significant between NSCLC patients and healthy controls (P 0.001). Conclusion: MUC1 and CEA are molecular biomarkers with relatively favorable sensitivity for primary diagnosis of NSCLC.
文摘Background and Objectives: Breast cancer is among the most common causes of cancer related mortality in women worldwide. Early detection and prompt diagnosis of tumor is the first step to prevent cancer-related morbidity and mortality, and a comprehensive understanding of the involved molecular mechanisms can greatly help in this respect. Breast cancer, like many other types of cancer, is caused by a combination of genetic and epigenetic changes such as inactivation of tumor suppressor genes. Materials and Methods: This study was performed on 40 breast cancer patients and 40 healthy controls. Quantitative real time reverse transcription polymerase chain reaction (real time qRT-PCR) was used to assess the expression of carcinoembryonic antigen (CEA) and mammaglobin mRNA in the peripheral blood of patients and healthy controls. The two groups were compared using t-test. Results: The two groups were not significantly different in terms of the mean age. Twenty-nine out of 40 cancer patients were positive for CEA mRNA and its sensitivity was calculated to be 72.5%. Twelve out of 40 healthy controls were positive for CEA mRNA. Twenty-six out of 40 patients were positive for mammaglobin mRNA indicative of 65% sensitivity while only five out of 40 healthy controls were positive for mammaglobin mRNA. Conclusion: Both CEA and mammaglobin mRNA had high sensitivity in cancer patients;thus, they can be used for screening and early detection of breast cancer patients. Further studies with larger sample sizes are required to confirm the current findings.
文摘Introduction: Ovarian cancer is one of the most common malignancies in women and the fifth cause of cancer-related deaths in women worldwide. Contrary to the challenges in developing new clinical markers using the conventional methods, recent advances in genomics and proteomics have led to identification of candidate and promising biomarkers for the diagnosis of ovarian cancer. Human epididymis protein 4 (HE4) is such a marker that has recently been reported to correlate with recurrence or progression of epithelial ovarian cancer. The purpose of this study was to measure the expression level of HE4 gene in women with ovarian cancer. Methodology: We evaluated and compared paraffin-embedded tissue samples of 20 ovarian cancer patients with 10 samples from healthy individuals. RNA was initially extracted from the samples and cDNA was synthetized. Gene expression level was then measured using real-time polymerase chain reaction (PCR). Results: Our results demonstrated that HE4 gene expression level was significantly higher in samples of patients with ovarian cancer compared with samples from healthy individuals. Moreover, higher levels of HE4 gene expression were associated with more advanced disease and larger tumor size. Conclusion: HE4 gene over-expression has the potential to be used as a biomarker for detecting early-stage ovarian cancer in women. Future more comprehensive studies are needed to confirm our findings.
