J Appl Physiol 90: 329–337, 2001. innovative techniques Imaging of skeletal muscle function using 18FDG PET: force production, activation, and metabolism GEORGE P. PAPPAS1,2 ERIC W. OLCOTT1,3 AND JOHN E. DRACE1,3 Radiology Service, Veterans Affairs Palo Alto Health Care System, Palo Alto 94304; and Departments of 3Radiology and 2Mechanical Engineering (Biomechanical Engineering Division), Stanford University, Stanford, California 94305 1 Received 11 April 2000; accepted in final form 16 August 2000 of skeletal muscle motion and metabolism would provide information of significant scientific and clinical benefit. The fundamental understanding of musculoskeletal function would be greatly advanced by data that elucidate in vivo muscle contraction, activation, and metabolism. Such knowledge could also lead to improved treatment of neuromuscular pathologies such as stroke, spinal cord injuries, and muscular dystrophies. For example, the success of muscle-tendon transfer surgery could be increased by preoperative assessment of potential donor muscles (43); strategies for rehabilitation may also be optimized by evaluating muscle function and adaptation processes. Several noninvasive modalities have been used to acquire in vivo information about skeletal muscle function. Magnetic resonance (MR) imaging techniques such as cine phase contrast MR can characterize the in vivo motion and mechanics of contracting skeletal muscle noninvasively (2, 6–8, 27) but cannot measure its metabolic activity. Modalities currently used for estimating muscle activity and metabolism include electromyography (EMG) and MR techniques such as spectroscopy and T2-weighted imaging (10, 29, 38, 40). Positron emission tomography (PET) with 18F-labeled 2-fluoro-2-deoxy-D-glucose (FDG) has proven valuable for assessing organ glucose utilization, primarily in brain, cardiac, and tumor tissue, and is considered the gold standard for quantifying myocardial viability (4, 25, 32). FDG PET imaging relies on the principle that active muscle cells exhibit increased glucose uptake (17, 28). Although it has been employed in several settings to evaluate muscle tissue metabolism and perfusion, the application of PET to the study of exercising skeletal muscle remains limited (1, 13, 25, 26, 33, 35, 37). FDG PET provides tomographic spatial information and allows exercise to be performed conveniently before imaging, the combination of which is not available with other techniques used for measuring muscle activity. Exercising muscle tissue takes up circulating FDG, a deoxy analog of glucose, which then becomes entrapped in the intracellular space after phosphorylation. Unlike glucose, FDG does not continue along the usual glycolytic pathway; rather, it accumulates within exer- Address for reprint requests and other correspondence: J. E. Drace, Diagnostic Radiology Center (114), VA Palo Alto Health Care System, 3801 Miranda Ave., Palo Alto, CA 94304 (E-mail: drace @stanford.edu). The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked ‘‘advertisement’’ in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. positron emission tomography; fluorodeoxyglucose; intramuscular; tomographic; in vivo COMPREHENSIVE IN VIVO MEASUREMENTS http://www.jap.org 329 Downloaded from http://jap.physiology.org/ by 10.220.32.246 on October 2, 2016 Pappas, George P., Eric W. Olcott, and John E. Drace. Imaging of skeletal muscle function using 18FDG PET: force production, activation, and metabolism. J Appl Physiol 90: 329–337, 2001.—The purpose of this study was to determine whether [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET) can be used to evaluate muscle force production, create anatomic images of muscle activity, and resolve the distribution of metabolic activity within exercising skeletal muscle. Seventeen subjects performed either elbow flexion, elbow extension, or ankle plantar flexion after intravenous injection of FDG. PET imaging was performed subsequently, and FDG uptake was measured in skeletal muscle for each task. A fivefold increase in resistance during elbow flexion increased FDG uptake in the biceps brachii by a factor of 4.9. Differences in relative FDG uptake were demonstrated as exercise tasks and loads were varied, permitting differentiation of active muscles. The intramuscular distribution of FDG within exercising biceps brachii varied along the transverse and longitudinal axes of the muscle; coefficients of variation along these axes were 0.39 and 0.23, respectively. These findings suggest FDG PET is capable of characterizing task-specific muscle activity and measuring intramuscular variations of glucose metabolism within exercising skeletal muscle. 330 IMAGING OF SKELETAL MUSCLE FUNCTION USING cising muscle tissue. This metabolic trapping process forms the basis of FDG imaging (21). The purpose of this study was to determine whether PET is capable of evaluating force production, creating anatomic images of muscle activity, and measuring the distribution of metabolic activity within exercising skeletal muscle. A modality that provides this comprehensive functional information would have considerable scientific and clinical utility. Accordingly, we tested the following three hypotheses: first, that FDG uptake as measured by PET reflects the active contractile force and work produced by skeletal muscle; second, that FDG PET can create images that permit muscle activity to be distinguished during functionally different exercise tasks; and, third, that FDG PET can measure and resolve the distribution of glucose metabolism within exercising skeletal muscle. Subjects. This study included 15 men and 2 women ranging in age from 20 to 78 yr (mean ⫽ 53 yr) referred for diagnostic FDG PET scans. Scanning was performed for a variety of reasons, typically to evaluate suspected neoplastic disease. Patients with diabetes and patients receiving insulin for cardiac PET imaging were excluded from the study. The study was performed in accordance with the policies of the institutional human subjects review board. PET imaging. Each subject performed one specific exercise task beginning shortly after a single intravenous injection of 10–15 mCi of FDG. PET images with a 128 ⫻ 128 pixel matrix were acquired for 10–15 min beginning ⬃60 min after the injection, when intravasculular FDG levels had diminished substantially as a result of redistribution into metabolically active tissue and urinary excretion. In view of kinetic PET data, exercise was performed immediately after injection, when most of the initial FDG dose remained available within the vasculature, and PET images were acquired at least 60 min after injection, when ⬍10% of the dose remained within the vasculature (16). Scanning was performed with a CTI EXACT scanner (CTI, Knoxville, TN) with a 16.2-cm axial field of view and a transaxial resolution of 6 mm (full width half-maximum in the center field of view without scattering medium). Emission images were corrected for signal attenuation by using a 68 Ga transmission scan acquired for 5–20 min immediately before or after the emission images. Attenuation-corrected axial emission images were reconstructed in 47 contiguous 3.4-mm-thick slices using a Hann filter with a 0.7 cycle/pixel cutoff. Image analysis. Image processing and region of interest (ROI) analyses were performed on a Sparcstation 20 microcomputer (Sun Microsystems, Mountain View, CA) using vendor-supplied software. Glucose uptake within muscles was assessed by defining ROIs on the attenuation-corrected axial images. Emission counts per pixel per second were measured for each ROI. FDG uptake values obtained from ROI measurements of active muscle were normalized using values from ROIs defined over inactive muscle tissue. Average uptake within inactive muscle was defined as “basal uptake.” When exercise was performed unilaterally, the corresponding inactive muscle in the contralateral limb was employed for determining basal uptake; the inactive deltoid muscle was employed when exercise was performed bilaterally. FDG PET Exercise protocols. Each subject performed a specific, supervised exercise beginning 2 min after a single injection of FDG, when intravascular levels of FDG were highest. Each exercise task was explained and demonstrated to the subject before the FDG injection. Subjects were allowed rest periods between each exercise set. All subjects were guided through each task at a constant rate of ⬃2 s per repetition, by the same investigator, to ensure consistency and correctness of form. Each subject performed only one type of exercise to avoid the confounding effects of additive FDG trapping that would result from the performance of multiple exercise tasks. The investigation was divided into three studies: a force production study, a task-specific functional differentiation study, and an intramuscular spatial distribution study. The force production study was performed first and provided an estimate of the amount of exercise required to elicit considerable FDG uptake yet avoid neuromuscular fatigue; information used in the planning of the subsequent studies. Force production study. Eleven subjects performed specified numbers of repetitions of elbow flexion to determine whether the FDG PET technique can detect increased metabolic activity in contracting skeletal muscle and to test the hypothesis that the level of glucose uptake in the biceps brachii muscle corresponds to the force generated and work produced by the muscle. The total number of repetitions ranged from 15 to 600 for the six subjects who used 2-lb. weights and from 50 to 120 for the five subjects who used 10-lb. weights. Four of six subjects using 2-lb. weights exercised bilaterally, performing unequal numbers of repetitions with the right and left arms: one subject performed 45 and 15 repetitions, another performed 100 and 200 repetitions, another performed 200 and 400 repetitions, and the remaining subject performed 300 and 500 repetitions, respectively. The remaining two subjects using 2-lb. weights performed either 240 or 600 repetitions unilaterally. The five subjects using 10-lb. weights performed 50, 60, 80, 100, or 120 repetitions unilaterally. Subjects performed all elbow flexion exercises in a seated, upright position. The wrist was maintained in a supinated position to ensure recruitment of the biceps brachii muscle (5). To estimate the average glucose uptake of the biceps brachii muscle, three ROIs containing the entire muscle cross section were drawn in three axial planes near the midportion of each subject’s muscle. Regression analysis was used to determine the relationship between the number of repetitions of elbow flexion and the average FDG uptake in the biceps brachii muscle. Task-specific functional differentiation study. Images of FDG uptake in exercising skeletal muscle were obtained during three experiments. The first experiment determined whether FDG PET could differentiate muscles performing two dissimilar tasks, elbow flexion and elbow extension. FDG uptake in the biceps brachii was compared with FDG uptake in the triceps brachii in two subjects who performed 100 repetitions of either elbow flexion or extension using 10-lb. weights. The mean value of FDG uptake throughout each muscle was computed from multiple nonoverlapping ROIs deposited in a single axial plane located midway along the upper arm. Ratios of mean biceps activity to mean triceps activity were computed for each subject. Elbow flexion was performed in a seated position with the wrist supinated; elbow extension was performed with the body supine and the wrist in a neutral position. The second experiment in this category determined whether FDG PET could differentiate metabolic activity in muscles performing two similar tasks, elbow flexion with the wrist pronated and elbow flexion with the wrist supinated. The former task primarily involves the brachialis and the Downloaded from http://jap.physiology.org/ by 10.220.32.246 on October 2, 2016 MATERIALS AND METHODS 18 IMAGING OF SKELETAL MUSCLE FUNCTION USING FDG PET 331 cising muscle was evaluated. A subject performed 600 repetitions of elbow flexion against a 2-lb. resistance with the wrist supinated to ensure recruitment of the biceps brachii (5). FDG uptake was measured along the transverse (mediallateral) and longitudinal (proximal-distal) axes of this muscle. The transverse distribution of FDG uptake was measured using ROIs distributed across an axial image of the midportion of the biceps (Fig. 5A). The longitudinal distribution of FDG metabolism was measured by positioning circular ROIs over the deep, central portion of the muscle on contiguous axial images (Fig. 5C); the diameter of each ROI was chosen to be approximately one-third that of the muscle. With the use of these ROI values, coefficients of variation for FDG uptake were computed along the transverse and longitudinal directions for both exercising and inactive biceps muscles. RESULTS Force production study. Two hundred or more repetitions of elbow flexion with 2-lb. weights produced FDG uptake in the biceps brachii that exceeded basal levels and was readily visible on projection and axial images (Fig. 1). Fifty or more repetitions of elbow flexion with a 10-lb. weight produced substantial increases in FDG levels within the biceps brachii muscle. Figure 1 shows representative projection and axial tomographic images of FDG uptake for a subject who performed repeated 2-lb. elbow flexion with the right arm. Distinct boundaries between the biceps and brachialis muscles are clearly visible in the anterior Fig. 1. Projection and tomographic images of [18F]fluorodeoxyglucose (FDG) activity in skeletal muscle were produced for different exercise tasks. Anatomic maps of FDG uptake were of sufficient resolution to permit differentiation of adjacent muscles such as the biceps brachii (Bic) and brachialis (Br). A: projection image of a subject who performed supinated-wrist elbow flexion with the right arm. Substantially increased FDG uptake is evident within 2 elbow flexor muscles, the biceps brachii and the brachialis. FDG uptake is also seen in parts of the ipsilateral shoulder. B: examples of corresponding attenuation-corrected serial axial images used for quantitative measurement of FDG uptake. The biceps, brachialis, and triceps (T) all can be distinguished. The brachialis appears most prominent in the more inferior images (images 70, 75, and 80). The humerus (H) can be visualized as a signal void due to its lower relative metabolic activity. Downloaded from http://jap.physiology.org/ by 10.220.32.246 on October 2, 2016 brachioradialis, with little contribution from the biceps, whereas the latter additionally recruits the biceps (5). A subject performed 60 repetitions of elbow flexion with each arm using 10-lb. weights; one wrist was supinated, whereas the other was pronated. ROI values were obtained within the biceps and brachioradialis at multiple levels and averaged for each muscle. Ratios of mean activity in the right vs. left biceps and right vs. left brachioradialis were computed. The third experiment evaluated the ability of PET to measure differences in FDG uptake that result from varying the levels of recruitment of given muscles. One subject performed 80 repetitions of ankle plantar flexion, a task that involves the gastrocnemius and soleus muscles, with 30-lb. weights on each knee. Each knee was held at either 50° or 110° of flexion to achieve different degrees of muscular recruitment (with the straight leg defined as having zero flexion). Because the gastrocnemius spans both the knee and the ankle, it is more fully recruited when the knee is less flexed during this task; the soleus exhibits a compensatory, increased recruitment with increased knee flexion (3, 34). The average FDG uptake within each of the two muscles was assessed using eight nonoverlapping ROIs placed on an axial image at the level of the midcalf. In addition, two other subjects performed plantar flexion with straight knees and a resistance applied to the ball of the foot; one subject exercised bilaterally against resistances of 1 and 4 lb., and the second subject exercised unilaterally against a resistance of 155 lb. EMG indicates that gastrocnemius recruitment increases as plantar flexion is performed under increasing loads (3). Ratios of the mean activity between specific muscles were computed. Intramuscular spatial distribution study. The intramuscular distribution of glucose metabolism within a single exer- 18 332 IMAGING OF SKELETAL MUSCLE FUNCTION USING 18 FDG PET Fig. 3. The ability of positron emission tomography to distinguish muscles performing 2 functionally different exercise tasks is demonstrated by comparing the distribution of FDG uptake during elbow flexion to FDG uptake during elbow extension. A: axial image of subject who performed 100 repetitions of elbow extension with the left arm using a 10-lb. weight. Average FDG uptake measured in the triceps brachii was 3.52 times that measured in the biceps brachii. B: axial image of subject who performed 100 repetitions of 10-lb. elbow flexion with the right arm. Average FDG uptake in the biceps was 1.89 times that measured in the ipsilateral triceps. Fig. 2. Regression plot of normalized FDG uptake in the biceps brachii as a function of the number of repetitions of elbow flexion performed with either 2-lb. (■) or 10-lb. (F) weights. The ratio of the two regression line slopes is 4.94, which is consistent with the fivefold ratio in external force and work produced. Only data points with suprabasal uptake are included. by the right biceps brachii. The diminished involvement of the right biceps resulted in particularly increased FDG uptake in the right brachioradialis; its activity measured 1.86 times that of the left brachioradialis. Substantial FDG uptake in these activated elbow flexors was evident in projection images (Fig. 4). The ankle plantar flexion study, the third functional differentiation experiment, examined differences in the relative FDG uptake of the soleus and gastrocnemius muscles with variations in the degree of their recruitment. In the subject who performed 30-lb. plantar flexion bilaterally with knee angles of 50° and 110°, the gastrocnemius of the leg held in 50° of knee flexion utilized 1.31 times the FDG utilized by the contralat- Downloaded from http://jap.physiology.org/ by 10.220.32.246 on October 2, 2016 oblique projection image (Fig. 1A) as well as in the axial images (Fig. 1B). Figure 2 shows the results of regression analysis relating normalized biceps FDG uptake to the number of repetitions of elbow flexion performed with 2-lb. and 10-lb. weights. Statistically significant positive correlations were found for both the 2-lb. (r ⫽ 0.899, P ⬍ 0.01) and 10-lb. (r ⫽ 0.958, P ⬍ 0.05) studies. The slopes of the 10-lb. and 2-lb. regression lines were 0.029 and 0.006, respectively. The ratio of these slopes was 4.94, nearly equivalent to the fivefold ratio of external force produced by the elbow flexors under these two loads (10 lb./2 lb.). Task-specific functional differentiation study. In the subjects who performed the first of the functional differentiation experiments, 100 repetitions of either elbow flexion or elbow extension with a 10-lb. weight, the average activity within the biceps brachii muscle was markedly different from the average activity within the ipsilateral triceps brachii muscle. The subject who performed supinated-wrist elbow flexion showed average FDG uptake in the biceps that was 1.89 times the corresponding value measured in the triceps muscle of the exercising arm. The triceps of the subject who performed elbow extension exhibited 3.52 times the average activity exhibited by the ipsilateral biceps muscle (Fig. 3). Examination of the FDG uptake in the subject who performed the second functional differentiation experiment, supinated-wrist and pronated-wrist elbow flexion with 10-lb. weights, showed a considerable difference between the left biceps (wrist supinated to increase biceps recruitment) and right biceps (wrist pronated to diminish biceps recruitment). The left biceps took up 2.78 times the quantity of FDG taken up IMAGING OF SKELETAL MUSCLE FUNCTION USING 18 FDG PET 333 eral gastrocnemius with the knee held in the relatively disadvantaged 110° position. Similarly, the soleus uptake of the leg with the more disadvantaged gastrocnemius (110° of knee flexion) was 1.44 times that of the contralateral soleus with the knee held at 50°. In the subject who performed straight-knee plantar flexion with 1-lb. (right leg) and 4-lb. (left leg) loads, no substantial difference was found between the average gastrocnemius FDG uptake of the two legs. The difference in soleus activity for these two low loads was also not substantial. In the subjects who performed plantar flexion with 1-, 4-, or 155-lb. loads, the ratio of gastrocnemius activity to soleus activity increased with the amount of weight applied, from 1.24 with a 1-lb. load to 1.41 with a 4-lb. load and 2.36 with a 155-lb. load. Intramuscular spatial distribution study. FDG uptake varied smoothly and substantially along the transverse axis of the exercising biceps performing elbow flexion with 2-lb. resistance, describing a curve at the level of the muscle’s midsection that was roughly parabolic in shape but asymmetric (Fig. 5B). The central portion of the exercising biceps exhibited greater FDG uptake than did the peripheral portions. In the central region of the muscle belly, FDG uptake along the transverse axis peaked at over six times the basal uptake measured in the contralateral biceps. Similarly, the distribution of FDG uptake along the longitudinal axis of the exercising biceps was nonuniform (Fig. 5D). FDG uptake of almost 4.5 times the average basal level was found within the proximal muscle belly, whereas uptake at the extreme proximal and extreme distal ends of the muscle was ⬃2.5 and 1.5 times the basal level, respectively. Coefficients of variation for FDG uptake in exercising biceps muscle were 0.390 along the transverse axis and 0.231 along the longitudinal axis. In contrast, inactive biceps muscle exhibited less FDG uptake, and less variability of uptake, than did the exercising biceps (Fig. 5, B and D). FDG uptake along the transverse and longitudinal axes of inactive muscle described curves of markedly different, flatter shapes than those of the exercising muscle. The coefficient of variation for FDG uptake in inactive muscle was 0.131 along the transverse axis and 0.156 along the longitudinal axis. Downloaded from http://jap.physiology.org/ by 10.220.32.246 on October 2, 2016 Fig. 4. Projection image of a subject following 60 repetitions of bilateral elbow flexion using 10-lb. weights. The left wrist was supinated to recruit the left biceps brachii muscle, whereas the right wrist was pronated during exercise. Substantially increased FDG levels are evident in the left biceps brachii, right brachioradialis, and both brachialis muscles. Increasingly light (yellow to white) areas represent increasing FDG uptake. FDG was injected intravenously in the subject’s right arm. Left anterior oblique view. R, right; L, left. 334 IMAGING OF SKELETAL MUSCLE FUNCTION USING 18 FDG PET DISCUSSION FDG PET demonstrates increased uptake of FDG within active, exercising skeletal muscles. Quantitative FDG uptake increases as the muscle works against greater resistance and as the muscle generates more work, reflecting increased glucose metabolism as the muscle becomes increasingly active. FDG PET also demonstrates which individual muscles are active during a given task, by means of both functional images and the quantitative measurement of FDG uptake. In addition, FDG PET measures the spatial distribution of activity within a given muscle, along both the longi- Downloaded from http://jap.physiology.org/ by 10.220.32.246 on October 2, 2016 Fig. 5. Intramuscular distribution of FDG activity within the biceps brachii muscle following 600 repetitions of unilateral, supinated-wrist elbow flexion with a 2-lb. resistance. A: axial image of the midportion of the exercising biceps, indicating the position of each of the 12 circular regions of interest (ROIs) used to determine the transverse distribution of FDG uptake in B. FDG activity also is apparent in the brachialis and triceps brachii muscles. B: distribution of FDG activity within the midportion of the muscle plotted as a function of position along the transverse axis of the exercising biceps (F) and the contralateral inactive biceps (■). The data points correspond to the 12 circular ROIs defined in the axial imaging plane within the biceps shown in A. All values are normalized by the average uptake value of the transversely distributed ROIs in the inactive biceps. The distribution of FDG activity in the exercising muscle is roughly parabolic in shape, with higher levels of activity evident within the deep, central portion of the muscle. C: projection image depicting the arrangement of selected circular ROIs along the biceps brachii muscle used to determine the longitudinal distribution of FDG uptake in D. One ROI was placed on each of the 44 contiguous axial images encompassing the length of the biceps. Arrowheads indicate the approximate position of the most proximal (P) and distal (D) ROIs. D: distribution of FDG activity within the deep, central portion of the muscle is plotted as a function of position along the longitudinal axis of the exercising biceps (F) and the contralateral inactive biceps (■). All values are normalized by the average uptake value of the longitudinally distributed ROIs in the inactive biceps. FDG uptake in the exercising biceps is of greater magnitude and is more variable than is the uptake in the inactive biceps. IMAGING OF SKELETAL MUSCLE FUNCTION USING FDG PET 335 correlation between muscle energy consumption and force production. Task-specific functional differentiation study. FDG PET provides images of glucose metabolism and quantitative information that allow active muscles to be distinguished from each other. This study indicates that FDG PET can differentiate not only muscle activity during dissimilar tasks such as elbow flexion and extension but can even differentiate muscle activity during similar tasks such as elbow flexion with the wrist pronated vs. supinated. In addition, as the knee angle or resistance was varied during ankle plantar flexion, the recruitment of the gastrocnemius changed and the relative glucose uptake of the gastrocnemius compared with the soleus changed accordingly. Intramuscular spatial distribution study. We found substantial variation in the glucose uptake of exercising biceps brachii muscle and much less spatial variability in inactive muscle tissue. These preliminary findings of substantial metabolic heterogeneity are consistent with other human and animal data that have revealed broad dispersions in regional blood flow and metabolic rate in even seemingly homogeneous tissues (1, 23, 37). For example, recent studies with [15O]H2O PET have demonstrated spatial heterogeneity of blood flow in both inactive and exercising human skeletal muscle (1, 37). FDG uptake along both the longitudinal and transverse axes of the exercising biceps brachii was highly nonuniform. Glucose uptake was greatest in the central regions along both axes and was distributed in a roughly parabolic fashion (transversely) or a more complex fashion (longitudinally). This suggests that the central portions of the biceps are the most metabolically active and, therefore, may generate more contractile force and work than do the more peripheral regions of the muscle. Because muscle tissue requires energy to maintain tension (15, 24), energy consumption at a specific point within a muscle should be an indicator of the active, contractile force at that point. If glucose uptake accurately reflects energy expenditure, and metabolic efficiency is constant throughout a given muscle, then the distribution of FDG activity determined with PET may provide a means of estimating the distribution of force production within muscle tissue. Several mechanisms can be considered as possible explanations for the lower glucose levels measured at the periphery of the exercising biceps brachii (Fig. 5B). First, it is conceivable that metabolic efficiency could differ from one portion of a muscle to another. A theoretically possible mechanism for such spatially nonuniform metabolic efficiency could be muscle fiber-type regionalization (i.e., spatial variability in the relative concentration of the more efficient, slow-twitch and the less efficient, fast-twitch muscle fiber types within a muscle). However, our results would be consistent with a greater concentration of more efficient, slow-twitch muscle fibers being located at the periphery, a finding contrary to the observation that regionalized muscles, including the biceps brachii, have greater concentra- Downloaded from http://jap.physiology.org/ by 10.220.32.246 on October 2, 2016 tudinal and transverse axes. In contrast to traditional biomechanical assumptions, which form the basis of important models of muscle mechanics (18, 44), the level of intramuscular activity was found to vary considerably along both axes. Force production study. The uptake of FDG increased as subjects performed either increasing repetitions of elbow flexion against a given load or a given number of repetitions against increasing loads. The quantity of work, or, equivalently, energy, required to accomplish a mechanical task conventionally is defined as the product of the force exerted and the distance moved. Therefore, with the assumption that FDG uptake reflects the uptake of ordinary glucose (25, 32), FDG PET successfully demonstrated increasing glucose consumption with increasing work production. When elbow flexion was performed with 10-lb. weights, the slope of the line relating FDG uptake to the number of repetitions was 4.94 times that of the line produced when 2-lb. weights were used; this result is consistent with the fivefold relationship between the quantities of work produced at these two levels of resistance (10 lb./2 lb.). Therefore, within the range of motion, level of resistance, and total number of repetitions performed by the subjects, FDG uptake as measured by PET appears to vary linearly with the quantity of work performed. Although we have employed linear regression to fit lines to the data points relating FDG uptake to the number of repetitions performed, it is possible that the true relationship is more complex. Further experience involving a greater number of subjects will be required to address this issue. Certain physiological and biomechanical properties of muscle can affect the relationship between force production and energy consumption and were considered when designing the study. First, all tasks were constructed to require substantially submaximal effort and included rest periods between consecutive sets of exercise, to maintain muscular metabolism within the aerobic range (12). By allowing our subjects to avoid fatigue and the possible concomitant entry into anaerobic pathways, we sought to maintain a fixed relationship between glucose utilization and contractile force production. Second, the energy consumption of a muscle depends on whether it is shortening or lengthening and also on the rate at which it shortens or lengthens (9, 24). In addition, a muscle’s ability to produce force depends on its relative length and contraction speed, as described by its “force-length curve” and “force-velocity curve,” respectively (44). To mitigate the influence of these effects on our force production data, all subjects performed the same task (elbow flexion) with the same speed and range of motion; therefore, each biceps brachii should have operated within a similar range of contraction speed and relative muscle length. Under the controlled conditions of the study, biceps glucose metabolism was found to be proportional to the amount of resistance and work performed. Further study is required to define the range of physiological conditions over which PET can provide an accurate quantitative 18 336 IMAGING OF SKELETAL MUSCLE FUNCTION USING FDG PET yielding a combination of neuromuscular activation and metabolism data that are not available with any other modality. In addition, PET could be used to ascertain the contribution of individual muscles to force production, information that is important for simulating musculoskeletal motion and optimizing rehabilitation regimens (43, 44). A current constraint of the FDG PET technique is limited temporal resolution. FDG PET images represent a summation of all of the muscle metabolic activity that occurs during the time between FDG injection and PET imaging. As a result, PET may be insensitive to more short-lived features of metabolic activity and therefore may fail to resolve temporal variations in neuromuscular recruitment. In view of this, exercise protocols were designed to include low-resistance exercise, sets with relatively few repetitions, and lengthy rest periods between sets to minimize the onset of fatigue and ensure that motor unit recruitment remained invariant for the duration of each task (12, 14). The amount of intramuscular glycogen utilized during exercise, and the rate at which it is replenished by circulating glucose, may influence FDG uptake. Because glycogen utilization depends on exercise intensity and duration (17, 31), the short-duration, low-intensity exercise protocols used in this study mitigated the effect of this variable. Further work is required to characterize fully the impact of exercise intensity and fuel source on quantitative FDG PET. Radiation exposure does occur with PET; however, it may be possible to obtain images of exercising muscle with substantially lower doses of FDG than used in conventional clinical and diagnostic studies (35). In summary, FDG PET is capable of characterizing task-specific muscle function and measuring intramuscular variations of glucose metabolism within skeletal muscle tissue. Images of muscle activity with sufficient resolution for biomechanical and physiological analyses of muscle contraction can be generated. We envision an expanded role for PET as a scientific and clinical tool. Alone or in conjunction with other modalities, PET may provide a powerful means for studying the basic science of biomechanics, advancing the design of functional restoration surgeries, allowing study of muscle pathology and adaptation, and allowing for improved neuromuscular rehabilitation. We thank Drs. George M. Segall and Marguerite T. Hays. We also thank Dr. Marie Carlisle, Jennifer Lawry, and Julie Loero for clinical support and Dr. Felix E. Zajac for manuscript review. This work was supported by the Department of Veterans Affairs, National Institutes of Child Health and Human Development Grant HD-31493, and a Stanford-NIH Biotechnology Training Grant. REFERENCES 1. Ament W, Lubbers J, Rakhorst G, Vaalburg W, Verkerke GJ, Paans AMJ, and Willemsen ATM. Skeletal muscle perfusion measured by positron emission tomography during exercise. Pflügers Arch 436: 653–658, 1998. 2. Axel L and Dougherty L. MR imaging of motion with spatial modulation of magnetization. Radiology 171: 841–845, 1989. 3. Ballantyne BT, Kukulka CG, and Soderberg GL. Motor unit recruitment in human medial gastrocnemius muscle during combined knee flexion and plantarflexion isometric contractions. Exp Brain Res 93: 492–498, 1993. Downloaded from http://jap.physiology.org/ by 10.220.32.246 on October 2, 2016 tions of slow-twitch fibers located in their deep, rather than their superficial, regions (20, 22, 41). Therefore, fiber-type regionalization is not likely to explain our results. Other mechanisms that could affect the decreased glucose uptake observed in the periphery of the biceps include preferential recruitment of motor units within the deep, central portion of the muscle and nonuniform contraction mechanics (e.g., muscle fiber length or contraction speed that vary throughout the muscle). Further investigation will be required to elucidate the mechanisms responsible for the spatial variation in muscular glucose uptake. Potential applications. Because PET appears able to provide three-dimensional information regarding skeletal muscle metabolism throughout the body, it may be useful for evaluating aspects of skeletal muscle physiology that are not readily assessable with existing modalities. For example, EMG provides real-time data about neuromuscular activity but only limited information about the spatial distribution of that activity. In additional, EMG is not practical for evaluating large groups of muscles or simultaneous measurement of whole body muscular activity (35). 31Phosphorous-MR spectroscopy has been used to study the metabolic effects of muscular fatigue and various metabolic and vascular pathologies (38–40); however, creating spectroscopic images of metabolic activity would require prohibitively long acquisition times and concurrent exercise within an MR scanner. T2-weighted MR imaging has also been applied to measure exercise intensity in skeletal muscle (10, 11, 29, 38, 42). Increased T2 relaxation times are putatively caused by exerciseinduced edema and increased tissue temperature; however, because these phenomena are governed by diffusion and conduction, respectively, the ability of this technique to measure spatial variations in intramuscular activity is questionable. 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