title: Incidental findings in the skeletal musculature on computed tomography.
abstract: OBJECTIVE
  The purpose of this study was to analyze intramuscular incidental findings identified on CT in a large patient cohort.
  
  
  METHODS
  In the time period from 2010 to 2015, a total of 44,794 patients with several diagnoses were investigated by CT. Only those patients who underwent body CT including the neck, thorax, abdomen and pelvic regions after the i.v. application of a contrast medium were involved in the study. There were 4085 patients. On further analysis, only patients with intramuscular findings (IFs) incidentally detected on CT were included. Osseous or soft-tissue lesions with invasion into the musculature were excluded from the study. Patients with known or clinically suspicious muscle disorders were also excluded. Overall, 639 (15.64% of the 4085 analyzed cases) patients, 253 females and 386 males, with mean age 72.43 ± 12.02 years, were identified. Collected data were evaluated by means of descriptive statistics.
  
  
  RESULTS
  In the 639 patients, 917 IFs were identified. More often, several benign disorders were diagnosed (n = 803, 87.6%). There were hernias (33.5%), atrophy of different muscles (22%), lipomas (21%), intramuscular calcifications (8.7%), bursitis (1.2%) and intramuscular bleeding (1.1%). Malignant IFs (n = 114, 12.4%) included intramuscular metastases (11.9%) and lymphomas (0.6%). Most frequently, the identified IFs were localized in the abdominal wall musculature, paravertebral and gluteal muscles. In 657 cases (71.6% of all IFs), the identified muscle findings were not diagnosed by the radiologist who initially assessed the investigation.
  
  
  CONCLUSIONS
  CT can detect different incidental disorders within the skeletal musculature. Most of them were benign. However, malignant lesions can also occur. Therefore, skeletal muscles should be carefully evaluated on CT performed for other reasons. Advances in knowledge: IFs occur in 15.6% of CT investigations. Benign findings represent 87.6% and malignant lesions can be identified in 12.4%.
authors.affiliation: Department of Radiology, Martin Luther University Halle-Wittenberg, Halle, Germany.
authors.forename: Dominik
authors.initials: D
authors.lastname: Schramm
authors.affiliation: Department of Radiology, Martin Luther University Halle-Wittenberg, Halle, Germany.
authors.forename: Annkathrin
authors.initials: A
authors.lastname: Justus
authors.affiliation: Department of Radiology, Martin Luther University Halle-Wittenberg, Halle, Germany.
authors.forename: Andreas G
authors.initials: AG
authors.lastname: Bach
authors.affiliation: Department of Radiology, Martin Luther University Halle-Wittenberg, Halle, Germany.
authors.forename: Alexey
authors.initials: A
authors.lastname: Surov
mesh_terms: D000005:Abdomen / Q000000981:diagnostic imaging; D000368:Aged; D003287:Contrast Media; D005260:Female; D006801:Humans; D033162:Incidental Findings; D008297:Male; D018482:Muscle, Skeletal / Q000000981:diagnostic imaging*; D009135:Muscular Diseases / Q000000981:diagnostic imaging*; D009333:Neck / Q000000981:diagnostic imaging; D010388:Pelvis / Q000000981:diagnostic imaging; D011856:Radiographic Image Enhancement; D013909:Thorax / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media