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M S Rosol

Publications and source records attributed to M S Rosol.

3 recordsLinked to original sources

Using quantitative CT to assess adipose distribution in adult men with acquired hypogonadism.

OBJECTIVE: Quantitative CT is a powerful tool that may be used to assess distribution of adipose and lean mass and bone mineral density in specific anatomic compartments. Testosterone deficiency (hypogonadism) is increasingly recognized in adult men and is associated with osteoporosis, diminished strength, and an increase in cardiovascular risk. We used quantitative CT to determine whether hypogonadism is associated with fat redistribution and altered bone density. SUBJECTS AND METHODS: Quantitative CT was performed at the level of the L4 vertebra in 26 men with adult onset testosterone deficiency and 17 eugonadal men of similar body mass index and age. Adipose area in the subcutaneous, visceral, and skeletal muscle areas was determined and trabecular bone density was measured. Values between the groups were compared using t tests. RESULTS: The ages of the hypogonadal and eugonadal men were 52 +/- 14 years and 51 +/- 8 years (p value not significant), respectively. Subcutaneous fat area was higher in the testosterone-deficient men than in the control subjects (270 +/- 101 cm2 versus 202 +/- 111 cm2; p = .046). Muscle fat area was higher in the hypogonadal men (6 +/- 3 cm2 versus 2 +/- 1 cm2; p = .001). Measurements of visceral fat were similar for both groups. Trabecular bone density was lower in the hypogonadal than in the eugonadal men (112 +/- 38 mg K2HPO4/dl versus 148 +/- 34 mg K2HPO4/dl, respectively; p = .003). CONCLUSION: Our findings indicate that testosterone deficiency is associated with a decrease in bone density and a redistribution of fat. Quantitative CT is a sensitive method that may be useful in determining alterations in regional adipose deposition in hypogonadal men and in evaluating the benefit of interventional therapy such as testosterone replacement.

Adipose Tissue

Quantification of articular cartilage in the knee with three-dimensional MR imaging.

RATIONALE AND OBJECTIVES: To determine the volume of articular cartilage in cadavers, patients, and healthy volunteers by using a volumetric, fat-suppressed spoiled gradient-recalled signal acquisition in the steady state (SPGR) magnetic resonance (MR) sequence. METHODS: Sagittal MR images were obtained with a fat-suppressed SPGR sequence (repetition time, 52 msec; echo time, 10 msec; 60 degrees flip angle; 3.0-3.5-mm partitions, 256 x 192 matrix, two signals acquired). The cartilaginous surfaces of the tibia, femur, and patella were planimetrically defined with a three-dimensional workstation. A three-dimensional model volume was created by threshold segmenting the cartilage from the adjacent tissues. The volume as calculated by using MR imaging was compared with the actual volume of the cartilage specimens. RESULTS: Observed measurements correlated with actual weight and volume displacement measurements with an accuracy of 82%-99% and linear correlation coefficients of 0.99 (P = 2.5e-15) and 0.99 (P = 4.4e-15). Precision of segmentation in healthy volunteers yielded a coefficient of variation of 0.4% for interobserver variability and 0.3% for intraobserver variability. CONCLUSION: This pilot study suggests that accurate volumetric calculations of knee articular cartilage are possible with currently available MR imaging pulse sequences and a commercially available work station.

Adult

Vertebral morphometry derived from digital images.

OBJECTIVE: We describe a method for capturing measurement data directly from digitized images using specialized software and high-resolution workstations. We have evaluated the reliability, accuracy, and reproducibility of this method in an international clinical trial involving vertebral morphometry. MATERIALS AND METHODS: Accuracy was determined using clinical radiographs measured with vernier calipers and a film phantom. Intra- and interobserver variabilities were assessed, and longitudinal reproducibility was evaluated. As part of the trial, spinal radiographs were collected from more than 200 international health care facilities and digitized at four screening centers. Digitized images were stored and sent to our central facility for morphometry and archiving. Timeliness and variability of the process were tracked. RESULTS: Relative accuracy was nearly 100%. Correlation with clinical measurements was high (r = .96; p < .05). The mean coefficient of variation for interobserver variability was 2%. Intraobserver variation was 3-5%. The coefficient of variation for longitudinal reproducibility ranged from 4% to 6%. After 9 months of operation, our trial included 9494 patients. Of approximately 36,000 radiographs, 98% passed quality review. Only 1% of vertebral levels were not measurable. Hardware and software problems were minimal. CONCLUSION: The use of digitized images for morphometry is accurate, reproducible, and convenient. When applied to a large-scale clinical trial, it offers unique advantages that may justify the cost and complexity that exceed those of conventional radiographs.

Female