Biomedical subjects

Wenlei He

Publications and source records attributed to Wenlei He.

4 recordsLinked to original sources

PubMed2006

Pathologic outcome of laparoscopic and open radical prostatectomy.

OBJECTIVES: To compare the clinicopathologic data of 286 laparoscopic radical prostatectomies (LRPs) and 714 open radical prostatectomies (RRPs) performed at the Massachusetts General Hospital from 2001 to 2005. METHODS: A total of 1000 radical prostatectomy procedures were analyzed for prostate weight, pathologic stage, Gleason score, surgical margin status, and positive margin location. RESULTS: The mean patient age was 58.6 and 59.1 years for the LRP and RRP groups, respectively. The mean preoperative prostate-specific antigen level was 5.96 and 6.00 ng/mL, respectively. Clinical Stage T1c cancer was seen in 86.4% of the LRP and 90.5% of the RRP patients. Gleason score 7 or less disease was seen on biopsy in 97.5% of the LRP and 96.9% of the RRP patients. The average prostate weight was 46.8 g for LRP and 46.0 g for RRP. In the radical prostatectomy specimens, 94.4% of LRP and 93.3% of RRP patients had Gleason score 7 or less disease and 86.0% of LRP and 81.7% of RRP patients had pathologic Stage pT2 cancer. The rate of positive surgical margins was 15.0% and 17.4% for the LRP and RRP groups, respectively. The positive margins occurred mainly at the peripheral and apical regions in both groups. No significant difference was found in the preoperative variables or final pathologic findings between the two surgical groups. CONCLUSIONS: With similar case selection, LRP and RRP achieve similar pathologic outcomes.

Adult↗

PubMed2005

Metabolic characterization of human prostate cancer with tissue magnetic resonance spectroscopy.

Diagnostic advancements for prostate cancer have so greatly increased early detections that hope abounds for improved patient outcomes. However, histopathology, which guides treatment, often subcategorizes aggressiveness insufficiently among moderately differentiated Gleason score (6 and 7) tumors (>70% of new cases). Here, we test the diagnostic capability of prostate metabolite profiles measured with intact tissue magnetic resonance spectroscopy and the sensitivity of local prostate metabolites in predicting prostate cancer status. Prostate tissue samples (n = 199) obtained from 82 prostate cancer patients after prostatectomy were analyzed with high-resolution magic angle spinning proton magnetic resonance spectroscopy, and afterwards with quantitative pathology. Metabolite profiles obtained from principal component analysis of magnetic resonance spectroscopy were correlated with pathologic quantitative findings by using linear regression analysis and evaluated against patient pathologic statuses by using ANOVA. Paired t tests show that tissue metabolite profiles can differentiate malignant from benign samples obtained from the same patient (P < 0.005) and correlate with patient serum prostate-specific antigen levels (P < 0.006). Furthermore, metabolite profiles obtained from histologically benign tissue samples of Gleason score 6 and 7 prostates can delineate a subset of less aggressive tumors (P < 0.008) and predict tumor perineural invasion within the subset (P < 0.03). These results indicate that magnetic resonance spectroscopy metabolite profiles of biopsy tissues may help direct treatment plans by assessing prostate cancer pathologic stage and aggressiveness, which at present can be histopathologically determined only after prostatectomy.

Humans↗

PubMed2004

Quantitative pathology in tissue MR spectroscopy based human prostate metabolomics.

At present, the clinical utility of metabolomic profiles of human prostate tissue relies on the establishment of correlations between metabolite data and clinical measurements, particularly pathological findings. Because metabolomics is a quantitative study, its clinical value can be rigorously investigated by determining its association with other quantitative measures. The human visual assessment of prostate tissue, however, introduces both inter- and intra-observer biases that may limit the reliability of its quantitations, and therefore, the strength of its correlations with metabolomic profiles. The aim of this study was to develop a simple, feasible protocol for the computer-aided image analysis (CAIA) of prostate pathology slides in order to achieve quantitative pathology from tissue samples, following metabolomic measurement with high-resolution magic angle spinning (HRMAS) magnetic resonance spectroscopy (MRS). Thirty-eight samples from 29 prostatectomy cases were studied with HRMAS MRS. After spectroscopy analysis, samples were serial-sectioned, stained and visually assessed by pathologists. Cross-sections from these samples were then measured with the CAIA protocol. Results showed a two-fold difference between human visual assessments of the area percentages of tissue pathologies and CAIA area percentages obtained for the same features. Linear correlations were found between both metabolites indicative of normal epithelium and those indicative of prostate cancer, and the CAIA quantitative results. CAIA based quantitative pathology is more reliable than human visual assessment in establishing correlations useful for disease diagnosis between prostate pathology and metabolite concentrations.

Epithelium↗

PubMed2003

Proton high-resolution magic angle spinning NMR analysis of fresh and previously frozen tissue of human prostate.

The previously observed improvement in spectral resolution of tissue proton NMR with high-resolution magic angle spinning (HRMAS) was speculated to be due largely to freeze-thawing artifacts resulting from tissue storage. In this study, 12 human prostate samples were analyzed on a 14.1T spectrometer at 3 degrees C, with HRMAS rates of 600 and 700 Hz. These samples were measured fresh and after they were frozen for 12-16 hr prior to thawing. The spectral linewidths measured from fresh and previously frozen samples were identical for all metabolites except citrate and acetate. The metabolite intensities of fresh and freeze-thawed samples depend on the quantification procedures used; however, in this experiment the differences of means were <30%. As expected, it was found that tissue storage impacts tissue quality for pathological analysis, and HRMAS conditions alone are not sufficiently destructive to impair pathological evaluation. Furthermore, although storage conditions affect absolute metabolite concentrations in NMR analysis, relative metabolite concentrations are less affected.

Cryopreservation↗