| Literature DB >> 27713864 |
Justin E Bird1, Lee Jae Morse1, Lei Feng2, Wei-Lien Wang3, Patrick P Lin1, Bryan S Moon1, Alexander J Lazar4, Robert L Satcher1, John E Madewell5, Valerae O Lewis6.
Abstract
PURPOSE: To determine non-radiographic risk factors differentiating atypical lipomatous tumors (ALTs) from lipomas.Entities:
Keywords: atypical lipomatous tumor; lipoma; liposarcoma; well-differentiated liposarcoma
Year: 2016 PMID: 27713864 PMCID: PMC5031604 DOI: 10.3389/fonc.2016.00197
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Patient demographics and tumor location.
| Lipoma ( | ALT ( | ||
|---|---|---|---|
| Sex | 0.12 | ||
| Male | 40 (42.6%) | 26 (56.5%) | |
| Female | 54 (57.4%) | 20 (43.5%) | |
| Age [mean, median, years (range)] | 53.3, 55 (17–85) | 58.6, 60.5 (13–84) | 0.017 |
| Location | <0.0001 | ||
| Lower extremity | 48 (51.1%) | 42 (91.3%) | |
| Thigh | 37 (39.4%) | 36 (78.3%) | |
| Leg | 11 (11.7%) | 6 (13%) | |
| Upper extremity | 46 (48.9%) | 4 (8.7%) | |
| Shoulder | 18 (19.1%) | 0 (0%) | |
| Upper arm | 16 (17.0%) | 2 (4.3%) | |
| Forearm | 12 (12.8%) | 2 (4.3%) |
Age was compared using the Wilcoxon rank sum test. Gender and tumor location was compared using Chi-square and Fisher’s exact test, respectively.
Median tumor size by location (greatest dimension, cm).
| Lipoma ( | ALT ( | ||
|---|---|---|---|
| All locations | 10 (0.8–35) | 22 (3.3–35) | <0.0001 |
| Lower extremity | 11.8 (0.8–35) | 22 (9–35) | <0.0001 |
| Thigh | 12.5 (3–35) | 22 (9–35) | 0.0001 |
| Leg | 5 (0.8–24) | 22 (18–27) | 0.0057 |
| Upper extremity | 8.8 (1.8–19) | 10.2 (3.3–26) | 0.77 |
| Arm | 9.5 (3.5–15.5) | 9.3 (3.3–15.3) | 0.94 |
| Forearm | 7.5 (1.8–19) | 15.5 (5–26) | 0.58 |
Median size difference between lipomas and ALTs were compared using the Wilcoxon rank sum test. Ranges are in parentheses. BliP plots are shown comparing size distribution of all ALTs and lipomas (lower left) and ALTs and lipomas in the thigh (lower right).
Recurrent lipoma and ALT characteristics.
| Age (years) | Sex | Site | Size (cm) | Time to recurrence (months) | Outcome | |
|---|---|---|---|---|---|---|
| Lipoma | ||||||
| Patient 1 | 50 | F | Forearm | 6 | 77 | Treated with observation only |
| ALT | ||||||
| Patient 1 | 61 | F | Leg | 21.6 | 43 | Two recurrences treated with re-excisions |
| Patient 2 | 74 | M | Thigh | 18 | 64 | Re-excised. No recurrence at 5 years. Unrelated death 10 years following 1° surgery |
| Patient 3 | 58 | F | Thigh | 17 | 19 | Treated with observation only |
| Patient 4 | 49 | M | Leg | 27 | 33 | Treated with observation only |
| Patient 5 | 64 | F | Thigh | 35 | 36 | Re-excised. No recurrence at 10 months |
Time to recurrence calculated as time from primary excision until detection of recurrence.
Figure 1Upon initial presentation, (A) coronal and (B) axial T1 MRI showed a large deep-seated lipomatous mass within the medial thigh. The majority of the mass is lipomatous with some septations consistent with an ALT, which was confirmed on histology. Seven years following resection, MRI now shows a heterogenous lesion within the same region with very little fat signal that is dark on T1 (C) with intermediate signal on T2 (D) and enhances with gadolinium contrast (E). (F) Needle biopsy shows scattered pleomorphic spindle cells confirming the diagnosis of dedifferentiated liposarcoma.
Age, gender, size, and thigh location as risk factor for ALT.
| Odds ratio | 95% CI | ||
|---|---|---|---|
| Age >60 vs. <60 years | 2.67 | 1.14–6.25 | 0.024 |
| Male vs. female | 2.28 | 0.97–5.37 | 0.059 |
| Tumor size >10 vs. <10 cm | 8.11 | 2.20–29.92 | 0.0017 |
| Thigh location vs. all other sites | 4.06 | 1.62–10.18 | 0.0028 |
Multivariate logistic regression model was fitted to assess the effects of important patient characteristic variables on ALT status.