| Literature DB >> 35387642 |
Tobias M Ballhause1, Alonja Reiter2, Alexander Korthaus2, Karl-Heinz Frosch2,3, Carsten W Schlickewei2, Matthias H Priemel2.
Abstract
BACKGROUND: Lumps and soft tissue tumors (STT) are frequent reasons for consulting a physician. Most STT are benign, and lumps are not always associated with a tumor. MRI is the most advanced imaging modality to assist a provisional diagnosis of STT. Only a small fraction of STT is malignant, these soft tissue sarcomas are known for their aggressive growth. The study aims to analyze the influence of the MRI report on the speed of treatment of patients with suspected STT.Entities:
Keywords: Cancer; MRI; Sarcoma; Sarcoma center; Soft tissue tumors
Mesh:
Year: 2022 PMID: 35387642 PMCID: PMC8988367 DOI: 10.1186/s12913-022-07891-w
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Inclusion criteria of the study. Patients were initially selected with help of the German version (OPS-301) of the ICPM (International Classification of Procedures in Medicine). Patients were classified into three groups according to the suspected malignancy of the tumor in the MRI-report´s provisional diagnosis
Histological results of 302 in MRI suspected soft tissue tumors
| Entity | n | Subtype (n) |
|---|---|---|
| Benign tumors | lipoma | 116 |
| fibrolipoma | 4 | |
| lipoma abroscens | 1 | |
| spindle cell lipoma | 2 | |
| angiolipoma | 6 | |
| hibernoma | 2 | |
| ganglion | 2 | |
| myxoma | 13 | |
| fibroma | 5 | |
| desmoid tumor | 1 | |
| tenosynovial giant cell tumor | 1 | |
| Intermediate tumors | ALT | 39 |
| schwannoma | 4 | |
| desmoid fibromatosis | 3 | |
| Malignant tumors | DDLPS | 5 |
| NOSLPS | 3 | |
| MXLPS | 32 | |
| PMLPS | 22 | |
| chondrosarcoma | 2 | |
| fibrosarcoma | 1 | |
| spindle cell sarcoma | 2 | |
| synovial sarcoma | 3 | |
| rhabdomyosarcoma | 4 | |
| leiomyosarcoma | 2 | |
| round-cell sarcoma | 3 | |
| Ewing-like sarcoma | 1 | |
| myofibroblastoma | 3 | |
| lymphoma | 2 | |
| dermatofibrosarcoma protuberans | 2 | |
| other | hemangioma | 6 |
| hemorrhage | 2 | |
| fat necrosis | 3 | |
| cyst | 3 | |
| granulomatous inflammation | 1 | |
| myositis ossificans | 1 |
Fig. 2Age distribution of patients with soft tissue tumors diagnosed by MRI. Statistical significance is indicated by **p < 0.005
Fig. 3Sex distribution in the different cohorts according to the MRI-reported malignancy. Altogether, 132 women were included and 170 men
Fig. 4Time interval between diagnostic and consultation of a specialist. Statistical significance is indicated by *p < 0.05, **p < 0.005
Fig. 5Time interval between the first consultation to UCC and surgery. Statistical significance is indicated by **p < 0.005
Fig. 6Distances traveled by patients to the UCC. The dot-plot diagram shows the three cohorts distinguished by the degree of suspected tumor malignancy in MRI. A homogenous distribution exists with no statistical difference among the groups