Normalizing GFR with variables is important for non-cancer patients,especially for kidney donors.The most frequently evaluated variables are body surface area (BSA),extracellular fluid volume (ECV) and lean body mass (LBM).It is difficult to accurately quantify BSA and the power of BSA normalization decreases in children and obesity population.The ECV normalization is suitable for healthy children,but its clinical value decreases in patients with damaged renal function.The LBM can be accurately measured and has a larger serviceable range in the normalization.Although the influence factors of LBM should be extensively evaluated,the available data indicate that LBM is more suitable in the normalization of GFR than BSA and ECV.

Objective To evaluate the feasibility of sentinel lymph node biopsy(SLNB)during surgery of breast cancer. MethodsRadioactive colloid and blue dye were injected intradermally around the tumor seperately before the operation and the SLN were detected first by lymph scintigraphy. SLN was detected and located using ?-finder and the blue dye. Axillary lymph node dissection(ALND)was performed routinely after the SLNB. Results Among 116 breast cancer patients,this procedure was successful in 98.3% of cases. The sensitivity, accuracy and false negative rate were 93.6%, 97.4% and 6.4%, respectively. Conclusions SLNB is a simple, safe and reliable technique.Routine ALND could be raplaced by SLNB in breast cancer patients undergoing surgery.

OBJECTIVESTo determine the clinical value of sentinel lymph node (SLN) detection by lympho- scintigraphy and gamma ray detecting probe (GDP) and to assess the value of hematoxylin and eosin (H&E) staining combined with immunohistochemistry (IHC) analys is for detecting micrometastasis in lymph nodes (LNs).

METHODSForty-two patients with breast cancer were included in this study. (99)Tc(m)-dextran was injected peritumourally. Lymphoscintigraphy images were obtained in anterior and lateral views. SLNs were removed with the aid of GDP during surgery. A standard axillary lymph nodes (ALNs) dissection was performed. All lymph nodes were first analyzed by HE staining. When all of the SLNs in a patient were negative, the ALNs were subjected to additional HE staining combined with IHC analysis.

RESULTSSLNs were successfully detected and removed in 39 (92.9%) of the 42 patients. The sensitivity, specificity and accuracy of SLN biopsy were 92.9% (13 in 14), 100% (25 in 25) and 97.4% (38 in 39) respectively. Additional HE staining combined with IHC analysis of the ALNs detected micrometastasis in 3 SLNs (2 cases), but there were no positives in the non-sentinal lymph nodes (NSLNs).

CONCLUSIONSThis study suggests that lymphoscintigraphy and GDP may be used to detect SLN. Additional HE staining combined with IHC analysis of the ALNs may help predict micrometastasis. Biopsy of SLN may be an accurate method for staging breast cancer.

Adult ; Aged ; Breast Neoplasms ; diagnostic imaging ; pathology ; Dextrans ; Female ; Humans ; Immunohistochemistry ; Lymph Nodes ; diagnostic imaging ; Middle Aged ; Organotechnetium Compounds ; Radionuclide Imaging ; Sentinel Lymph Node Biopsy

Maximization of mutual information is a powerful criterion for 3D medical image registration, allowing robust and fully accurate automated rigid registration of multi-modal images in a various applications. In this paper, a method based on normalized mutual information for 3D image registration was presented on the images of CT, MR and PET. Powell's direction set method and Brent's one-dimensional optimization algorithm were used as optimization strategy. A multi-resolution approach is applied to speedup the matching process. For PET images, pre-procession of segmentation was performed to reduce the background artefacts. According to the evaluation by the Vanderbilt University, Sub-voxel accuracy in multi-modality registration had been achieved with this algorithm.
Algorithms ; Brain ; anatomy & histology ; Humans ; Image Processing, Computer-Assisted ; methods ; Imaging, Three-Dimensional