Axial E12 plastinated sections (
Psoas Muscles
The psoas muscles are a pair of long, slender muscles located in the lower back and hip region.
They play a crucial role in hip flexion, stabilization, and posture.
Researchers can use the PubCompare.ai platform to optimize their psoas muscle studies by locating the best protocols from literature, preprints, and patents.
This AI-driven tool enables enhanced reproducibility and accuracy by comparing research methodologies using advanced analysis.
With PubCompare.ai, scientists can improve the quality and impact of their psoas muscle investigations.
They play a crucial role in hip flexion, stabilization, and posture.
Researchers can use the PubCompare.ai platform to optimize their psoas muscle studies by locating the best protocols from literature, preprints, and patents.
This AI-driven tool enables enhanced reproducibility and accuracy by comparing research methodologies using advanced analysis.
With PubCompare.ai, scientists can improve the quality and impact of their psoas muscle investigations.
Most cited protocols related to «Psoas Muscles»
Detailed descriptions of the complex anatomy of lumbar paravertebral muscles and definitions regarding the spatial distribution of MFI on axial MRI are limited [37 –40 (link)]. Published images demonstrating investigators’ definition of ROI for these muscles predominantly depict the lower lumbar levels, with limited identification of separate muscles. Further, descriptions lack details towards acknowledging the complex three-dimensional structure that produces a changing spatial relationship observed across lumbar segmental levels. The lumbar paravertebral muscles typically examined in such studies include: multifidus (MF) as the largest lumbar spinotransverse muscles; erector spinae (ES) including lumbar longissimus and iliocostalis; and less frequently, psoas (including major and minor), and quadratus lumborum (see Fig. 1 ). This paper intentionally focuses on MF and ES as these are presumed to have the greatest clinical significance. However, other paravertebral muscles exist in the lumbar spine (e.g. the lumbar interspinales and intertransversarii, and thoracic semispinalis), yet they are generally not mentioned in descriptive investigations. This may relate to a lack of image resolution with available sequences, making it challenging to accurately delineate individual muscles from adjacent structures, and it therefore remains unclear how they should be treated when defining ROIs.![]()
Our proposed method outlined in the results section, provides a foundational solution for the problem of how to measure muscles traversing the lumbar spine, and includes suggestions on operational characteristics for acquiring MR images. While we offer this starting point for a common methodology to facilitate accurate definition of lumbar muscle ROI, we are cognisant that the method is not a definitive end-point on ‘how to’. We hope that with time and new research findings these methods will be modified, expanded, and refined.
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Aorta
Aponeurosis
Facet Joint
Interspinales
Intertransversales
Kidney
Ligaments
Liver
Lumbar Region
Multifidus
Muscle Tissue
Psoas Muscles
Semispinalis
Spinal Canal
Spinous Processes
Vena Cavas, Inferior
Vertebra
Vertebrae, Lumbar
After obtaining institutional review board approval, a query of our institutional trauma registry across a 5-year time period (2005–2010) was performed. Data for our trauma registry are collected prospectively and reported to the Pennsylvania Trauma Outcomes Study (PTOS) database by trained nurse abstractors. Study inclusion criteria were age ≥55 years, severe injury (Injury Severity Score (ISS) >15), and ICU length of stay >48 h. Patients were excluded if they suffered a critical head injury (defined as a Head/Neck Abbreviated Injury Scale (AIS) score ≥5), did not receive admission cross-sectional imaging of the abdomen, had fractures or preexisting hardware of the 4th lumbar vertebral body, or had a retroperitoneal hematoma that distorted the cross-sectional area of the psoas at the level of the L4 vertebral body. Patient demographics (age, sex, and race), physiologic variables on presentation, mechanism of injury, Injury Severity Score, hospital length of stay (HLOS), ICU length of stay (ILOS), ventilator days, and comorbidities were abstracted from the institutional registry. Morbidity was measured by PTOS-defined occurrences (see “Appendix 1 ”). Patients meeting all inclusion criteria with no exclusion criteria were then uploaded into a RED Cap database [12 (link)]. Computed tomography (CT) studies of the abdomen were obtained from the medical record and evaluated for each patient by one of three trained reviewers (DG, LE, DH). Prior to abstracting the study CTs, a sample of studies were independently abstracted by the three reviewers and results were compared in order to assess for inter-rater reliability. For each study, the right and left psoas muscle cross-sectional areas (PCSA) were measured at the level of the L4 vertebral body immediately inferior to the origin of the posterior elements. To normalize for body habitus, the cross-sectional area of the L4 vertebral body was also recorded at this level (Fig. 1 ). Mean PSCA was calculated for each patient, and the ratio between mean PSCA and L4 vertebral body area was calculated using the following formula:![]()
The 50th percentile of psoas:L4 vertebral index (PLVI) value was determined and patients were grouped into high (>0.84) and low (≤0.83) categories based on their relation to the cohort median. Univariate analyses of patient demographic variables, admission vital signs, comorbidities, and outcome measures between the two groups were performed.
Psoas:lumbar vertebral index was calculated as the ratio between the mean psoas cross-sectional area and the vertebral cross-sectional area at the level of the L4 vertebral body just inferior to the insertion of the posterior elements
The 50th percentile of psoas:L4 vertebral index (PLVI) value was determined and patients were grouped into high (>0.84) and low (≤0.83) categories based on their relation to the cohort median. Univariate analyses of patient demographic variables, admission vital signs, comorbidities, and outcome measures between the two groups were performed.
Abdomen
Craniocerebral Trauma
Ethics Committees, Research
Fracture, Bone
Gene Components
Head
Hematoma
Human Body
Injuries
Lumbar Region
Neck
Nurses
Patients
physiology
Psoas Muscles
Retroperitoneal Space
Signs, Vital
Vertebra
Vertebrae, Lumbar
Vertebral Body
Wounds and Injuries
X-Ray Computed Tomography
Conferences
Measure, Body
Psoas Muscles
Sarcopenia
Vertebra
Vertebral Column
Abdomen
Anatomic Landmarks
Muscle, Back
Muscle Tissue
Psoas Muscles
Radionuclide Imaging
Ribs
Spinal Canal
Subcutaneous Fat
Vertebra
Vertebral Column
X-Ray Computed Tomography
Muscle Tissue
Patients
Psoas Muscles
Radiotherapy
Sarcopenia
X-Ray Computed Tomography
Most recents protocols related to «Psoas Muscles»
Following the institutional review board approval for the study (number: 119/2019; Muğla Sıtkı Koçman University Ethical Committee), a retrospective cohort analysis was performed using the medical records of patients. For the current study, patient consent is not required. All procedures executed involving human participants were in accordance with the ethical standards of the institutional ethical committee and with the 1964 Helsinki declaration.
A total of 146 patients who applied to the neurosurgery outpatient clinic with a recent abdominal CT (max three months) because of a lower back pain complaint were included in the study. Patients with a previous history of surgery or a vertebral fracture were excluded. After excluded patients, a total of 146 patients were included in the study, of whom 90 were female (61.6%) and 56 were male (38.4%). The mean age of the patients was 51.42±13.91 (20-82) years.
Lumbar vertebra CT scans of all patients were reviewed retrospectively. CT images at the level from L3-L4 intervertebral disc were analyzed for body composition of fat tissue and muscle mass volume through the dedicated CT software (Syngo.via, SOMATOM Definition Flash: Siemens Healthcare, Forchheim, Germany). The L3-L4 level was selected in sagittal reformat CT images with the software (Figure1 ).
The density range of -200, -40 HU was selected for the fat density measurement in the cross-section with the "region grooving" application in the angled axial images obtained parallel to the disc plane at this level. First, the fat volume in the whole section was measured (visceral and subcutaneous). Then, only the visceral adipose tissue volume was calculated by drawing borders to exclude subcutaneous adipose tissue (Figure2 ). The subcutaneous fat tissue volume was obtained by subtracting the visceral fat tissue volume from the total fat volume (Figure 3 ).
With the same application, muscle density was selected and paravertebral muscle tissue volume was calculated (bilateral musculus psoas major, musculus quadratus lumborum, musculus iliocostalis, musculus longissimus, musculus multifidus volumes). A Spearman correlation model was used to analyze visceral adiposity, subcutaneous fat, and muscle mass.
In CT images, each intervertebral disc space was evaluated in terms of the presence of osteophytes, loss of disc height, sclerosis in the end plates, and spinal stenosis (spinal canal narrowing under 15 mm AP diameter) to investigate the presence of degeneration. Each level was scored according to the presence of findings, with 1 point for the presence of osteophytes, loss of disc height, sclerosis in the end plates, and spinal stenosis. The total score at all levels (L1-S1) was calculated for each patient.
Statistical analyses were performed using IBM SPSS version 20.0 software (IBM Corp., Armonk, NY). The conformity of the data to normal distribution was assessed using the Shapiro-Wilk test. Normally distributed variables were presented as mean±standard deviation and those not showing normal distribution as median (minimum-maximum) values. Categorical variables were presented as numbers (n) and percentages (%). The Spearman's rank correlation coefficient test was used to determine the correlation between the measured parameters in various vertebral pathologies. Continuous variables were compared using the Mann-Whitney U test. The receiver operating characteristic (ROC) analysis was used to detect the area under the curve (AUC) and define the cutoff values with their sensitivities and specificities of the measurements. An alpha value of p<0.05 was accepted as statistically significant.
A total of 146 patients who applied to the neurosurgery outpatient clinic with a recent abdominal CT (max three months) because of a lower back pain complaint were included in the study. Patients with a previous history of surgery or a vertebral fracture were excluded. After excluded patients, a total of 146 patients were included in the study, of whom 90 were female (61.6%) and 56 were male (38.4%). The mean age of the patients was 51.42±13.91 (20-82) years.
Lumbar vertebra CT scans of all patients were reviewed retrospectively. CT images at the level from L3-L4 intervertebral disc were analyzed for body composition of fat tissue and muscle mass volume through the dedicated CT software (Syngo.via, SOMATOM Definition Flash: Siemens Healthcare, Forchheim, Germany). The L3-L4 level was selected in sagittal reformat CT images with the software (Figure
The density range of -200, -40 HU was selected for the fat density measurement in the cross-section with the "region grooving" application in the angled axial images obtained parallel to the disc plane at this level. First, the fat volume in the whole section was measured (visceral and subcutaneous). Then, only the visceral adipose tissue volume was calculated by drawing borders to exclude subcutaneous adipose tissue (Figure
With the same application, muscle density was selected and paravertebral muscle tissue volume was calculated (bilateral musculus psoas major, musculus quadratus lumborum, musculus iliocostalis, musculus longissimus, musculus multifidus volumes). A Spearman correlation model was used to analyze visceral adiposity, subcutaneous fat, and muscle mass.
In CT images, each intervertebral disc space was evaluated in terms of the presence of osteophytes, loss of disc height, sclerosis in the end plates, and spinal stenosis (spinal canal narrowing under 15 mm AP diameter) to investigate the presence of degeneration. Each level was scored according to the presence of findings, with 1 point for the presence of osteophytes, loss of disc height, sclerosis in the end plates, and spinal stenosis. The total score at all levels (L1-S1) was calculated for each patient.
Statistical analyses were performed using IBM SPSS version 20.0 software (IBM Corp., Armonk, NY). The conformity of the data to normal distribution was assessed using the Shapiro-Wilk test. Normally distributed variables were presented as mean±standard deviation and those not showing normal distribution as median (minimum-maximum) values. Categorical variables were presented as numbers (n) and percentages (%). The Spearman's rank correlation coefficient test was used to determine the correlation between the measured parameters in various vertebral pathologies. Continuous variables were compared using the Mann-Whitney U test. The receiver operating characteristic (ROC) analysis was used to detect the area under the curve (AUC) and define the cutoff values with their sensitivities and specificities of the measurements. An alpha value of p<0.05 was accepted as statistically significant.
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Abdomen
Cone-Beam Computed Tomography
Ethics Committees, Research
Homo sapiens
Intervertebral Disc
Low Back Pain
Males
Multifidus
Muscle Tissue
Neurosurgical Procedures
Obesity, Visceral
Operative Surgical Procedures
Osteophyte
Patients
Psoas Muscles
Pulp Canals
Sclerosis
Spinal Fractures
Spinal Stenosis
Subcutaneous Fat
Vertebra
Vertebrae, Lumbar
Visceral Fat
Woman
X-Ray Computed Tomography
The scans were then assessed by two radiologists, one of whom is a board certified sub-specialist gastrointestinal radiologist. Regions of interest were drawn around the psoas muscles bilaterally at the L3 vertebral body as per accepted validated methods. The sum of the psoas muscle area was subsequently divided by the square of the corresponding individual’s recorded height in metres in order to determine the psoas muscle index. Psoas muscle index cut-off values were sourced from a retrospective study which calculated optimal cut-off values by receiver operating characteristic analysis for survival[10 (link)].
Psoas Muscles
Radiologist
Radionuclide Imaging
Vertebral Body
For total amino acid analysis, psoas major muscles (~1 g) were hydrolyzed with HCl (10 ml, 6 mol/l) at 110°C for 22 h. Hydrolysates were transferred, filtered, and diluted with deionized water to volume. The filters were dried under nitrogen and the residue redissolved in HCl aqueous solution (2 ml, 0.02 mol/l) for further analysis. Amino acid concentrations were determined on an L-8900 amino acid analyzer (Hitachi, Tokyo, Japan). Identification of amino acids was performed by comparison with authentic standards.
For free amnio acid analysis, psoas major muscles (~100 mg) and 1 ml of sulphosalicylic acid (30 g/l) were mixed, homogenized, and centrifuged for 15 min at 14000 rpm at 4°C. The supernatant was vortex-mixed with hexane, centrifuged, and filtered through a 0.22 μm membrane. The filtrate was carried out an ACQUITY ultra-performance liquid chromatography (UPLC, Waters Corp., Milford, MA, United States) coupled with triple-quadrupole mass spectrometer (SCIEX QTRAP 6500, Framingham, MA, United States) in the electron spray ionization (ESI) mode. Two microliters of the samples were injected into LC–MS/MS system using an autosampler kept at 10°C. An ACQUITY UPLC HSS T3 column (2.1 × 100 mm, particle size 1.8 μm, pore size 100 Å) was applied to separate target analysts in meat samples. Mobile phase A was deionized water while mobile phase B was methanol. The 10-min gradient conditions were set as follows: 0–3 min, 2% B; 3–7 min, 2–95% B; 7–8 min, 95% B; 8–8.1 min, 95–2% B; 8.1–10 min, 2% B. The MS parameters was an ion-spray voltage of 4500 V, turbo gun source temperature of 400°C and curtain gas of 300 psi. Free amino acids were quantitated by external standard curves containing varying concentrations of reference standards.
For free amnio acid analysis, psoas major muscles (~100 mg) and 1 ml of sulphosalicylic acid (30 g/l) were mixed, homogenized, and centrifuged for 15 min at 14000 rpm at 4°C. The supernatant was vortex-mixed with hexane, centrifuged, and filtered through a 0.22 μm membrane. The filtrate was carried out an ACQUITY ultra-performance liquid chromatography (UPLC, Waters Corp., Milford, MA, United States) coupled with triple-quadrupole mass spectrometer (SCIEX QTRAP 6500, Framingham, MA, United States) in the electron spray ionization (ESI) mode. Two microliters of the samples were injected into LC–MS/MS system using an autosampler kept at 10°C. An ACQUITY UPLC HSS T3 column (2.1 × 100 mm, particle size 1.8 μm, pore size 100 Å) was applied to separate target analysts in meat samples. Mobile phase A was deionized water while mobile phase B was methanol. The 10-min gradient conditions were set as follows: 0–3 min, 2% B; 3–7 min, 2–95% B; 7–8 min, 95% B; 8–8.1 min, 95–2% B; 8.1–10 min, 2% B. The MS parameters was an ion-spray voltage of 4500 V, turbo gun source temperature of 400°C and curtain gas of 300 psi. Free amino acids were quantitated by external standard curves containing varying concentrations of reference standards.
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Acids
Amino Acids
Electrons
Hexanes
Liquid Chromatography
Meat
Methanol
Nitrogen
Psoas Muscles
sulfosalicylic acid
Tandem Mass Spectrometry
Tissue, Membrane
Muscle pH was recorded with a pH meter (HI99163, Hanna Instruments Inc., Washington, DC, United States). Calibration of the pH probe was performed using pH 4.0 and 7.0 standard buffers. Color coordinates (lightness, L*; redness, a*; yellowness, b*; hue angle; chroma) were determined at three random locations using a Minolta CR-400 colorimeter, equipped with a D65 illuminator, 8 mm aperture and 2° viewing angle (Konica Minolta Sensing Inc., Osaka, Japan). Chroma ( ) and hue angle ( ) values were calculated according to Honikel (23 (link)). Pressing loss was calculated as the difference in weight before and after pressing, divided by initial weight, as reported previously (24 (link)). Briefly, a muscle core sample (25 mm diameter, 10 mm thickness) was weighed, pressed for 5 min under a force of 343 N using a dilatometer, then reweighed. Drip loss and cooking loss of psoas major muscles were measured as reported previously (25 (link)). For cooking loss determination, samples were weighed, sealed in bags, heated to center temperature of 70°C in a water bath (80°C), cooled, refrigerated, wiped dry, and reweighed. After determining cooking loss, the Warner-Bratzler shear force was conducted, on the same samples, with 10 strips (10 mm × 10 mm × 20 mm) using an HDP/BSW V-shaped blade attached to a texture analyzer (TA.XT. Plus, Stable Micro Systems, Godalming, United Kingdom).
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Bath
Buffers
Erythema
Light
Muscle Tissue
Psoas Muscles
All animal procedures were conducted according to the regulations of the Animal Care and Use Committee of the Institute of Animal Sciences of the Chinese Academy of Agricultural Sciences (No. IAS 2020-69). In brief, flocks of 176 Hu male sheep and 76 Tan male sheep, with similar weights, were reared in the same environment, in individually ventilated pens (0.8 × 1.0 m2, one sheep per pen). After weaning at 56 days old, all animals were fed ad libitum on total mixed ration pellets (Supplementary Table S1 ) and given free access to water until 6 months old. After fasting for 12 h, all animals were electrically stunned for 3 s (SQ05A stunner, Wujiang Aneng Electronic Technology, Suzhou, China), exsanguinated, eviscerated, and split. Psoas major muscles between the right 1st and 4th lumbar vertebrae were collected at 45 min postmortem for IMF, fatty acid, and amino acid analysis. The remaining psoas major muscles of each left and right carcass were vacuum-packed, and chilled for 24 h (2–4°C) for later determination of meat quality characteristics and volatile analysis. Following analysis of the IMF content, 40 individuals, 20 replicates per group, were selected according to the IMF content in order to reduce the impact of IMF variation within breed on characteristics differences between breeds.
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Amino Acids
Animals
Autopsy
Breeding
Chinese
Domestic Sheep
Electricity
Fatty Acids
Males
Meat
Pellets, Drug
Psoas Muscles
Vacuum
Vertebrae, Lumbar
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More about "Psoas Muscles"
The psoas muscle is a vital component of the human body's core musculature, playing a crucial role in hip flexion, stabilization, and posture.
This long, slender muscle pair is located in the lower back and hip region, and has been the subject of extensive research by scientists and clinicians.
Researchers can utilize advanced tools like PubCompare.ai to optimize their psoas muscle studies.
This AI-driven platform enables enhanced reproducibility and accuracy by comparing research methodologies from literature, preprints, and patents using advanced analysis.
With PubCompare.ai, scientists can identify the best protocols and improve the quality and impact of their investigations.
Beyond PubCompare.ai, other software and imaging technologies can also aid in psoas muscle research.
SYNAPSE VINCENT, a medical imaging platform, and SOMATOM Definition Flash, Aquilion Prime, LightSpeed VCT, and Aquilion 64 CT scanners, can provide high-quality imaging of the psoas muscle and surrounding structures.
Additionally, MATLAB v13.0, SliceOmatic software, OsiriX MD, and Slice-O-Matic software V4.3 can be utilized for image analysis and processing.
By leveraging these advanced tools and technologies, researchers can gain a deeper understanding of the psoas muscle, its functions, and its role in various musculoskeletal conditions.
This knowledge can then be applied to develop more effective treatment strategies and improve patient outcomes.
This long, slender muscle pair is located in the lower back and hip region, and has been the subject of extensive research by scientists and clinicians.
Researchers can utilize advanced tools like PubCompare.ai to optimize their psoas muscle studies.
This AI-driven platform enables enhanced reproducibility and accuracy by comparing research methodologies from literature, preprints, and patents using advanced analysis.
With PubCompare.ai, scientists can identify the best protocols and improve the quality and impact of their investigations.
Beyond PubCompare.ai, other software and imaging technologies can also aid in psoas muscle research.
SYNAPSE VINCENT, a medical imaging platform, and SOMATOM Definition Flash, Aquilion Prime, LightSpeed VCT, and Aquilion 64 CT scanners, can provide high-quality imaging of the psoas muscle and surrounding structures.
Additionally, MATLAB v13.0, SliceOmatic software, OsiriX MD, and Slice-O-Matic software V4.3 can be utilized for image analysis and processing.
By leveraging these advanced tools and technologies, researchers can gain a deeper understanding of the psoas muscle, its functions, and its role in various musculoskeletal conditions.
This knowledge can then be applied to develop more effective treatment strategies and improve patient outcomes.