| Literature DB >> 34997060 |
Yohei Asano1, Shinji Miwa1, Norio Yamamoto2, Katsuhiro Hayashi1, Akihiko Takeuchi1, Kentaro Igarashi1, Hirotaka Yonezawa1, Yoshihiro Araki1, Sei Morinaga1, Takayuki Nojima1,3, Hiroko Ikeda3, Hiroyuki Tsuchiya1.
Abstract
This study evaluated the diagnostic accuracy of clinical, radiological, and histopathological examinations for differential diagnosis between atypical lipomatous tumor (ALT)/well-differentiated liposarcoma (WDLS) and lipoma, and aimed to develop a new combined scoring system for the preoperative diagnosis of ALT/WDLS. Eighty-nine lipomas and 56 ALT/WDLS were included and their clinical characteristics, magnetic resonance imaging (MRI) findings, histological findings by hematoxylin and eosin (HE) staining were investigated. Then, univariate and multivariate logistic regression analyses were performed for the findings, and a combined scoring system consisted of predictive factors of ALT/WDLS was developed. The univariate and multivariate logistic regression analyses revealed that tumor location (lower extremity), deep site, size (> 11 cm), thick septa (> 2 mm), enhancement of septa or nodular lesions, and lipoblasts were significantly different for the diagnosis of ALT/WDLS. We developed a combined scoring system based on the six predictive factors (total 0-16 points, the cutoff was 9 points). The area under the curve was 0.945, and sensitivity was 87.6% and specificity was 91.1% by the receiver operating characteristics curve. This combined scoring system does not require special equipment and reagents such as fluorescence in situ hybridization (FISH), and anyone can use it easily in many medical institutions with high diagnostic accuracy.Entities:
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Year: 2022 PMID: 34997060 PMCID: PMC8742117 DOI: 10.1038/s41598-021-04004-1
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Characteristics of patients, MRI, and histopathological findings.
| ALT/WDLS (N = 56) | Lipoma (N = 89) | ||
|---|---|---|---|
| Age | < 0.001 | ||
| Median (range) | 64.0 ± 13.29 (30–87) | 55.7 ± 14.60 (18–83) | |
| Sex: n (%) | 0.547 | ||
| Male | 32 (57.1%) | 45 (50.6%) | |
| Female | 24 (42.9%) | 44 (49.4%) | |
| Symptoms: n (%) | 6 (10.7%) | 4 (4.5%) | 0.150 |
| Tumor site: n (%) | < 0.0001 | ||
| Upper limb | 5 (8.9%) | 29 (32.6%) | |
| Lower limb | 39 (69.7%) | 24 (27.0%) | |
| Other | 12 (21.4%)a | 36 (40.4%)b | |
| Tumor depth: n (%) | < 0.0001 | ||
| Superficial | 0 (0%) | 29 (32.6%) | |
| Deep | 56 (100%) | 60 (67.4%) | |
| Tumor size (cm) | < 0.0001 | ||
| Median | 17.2 ± 6.7 | 9.7 ± 4.2 | |
| Thick septa (> 2 mm) | 52 (92.9%) | 52 (58.4%) | < 0.0001 |
| Enhancement (septa and/or nodular lesions) (n = 20) | 20 (100%) | 4 (20.0%) | < 0.0001 |
| Neurovascular involvement | 5 (8.9%) | 1 (1.1%) | 0.023 |
| Nuclear atypia | 10 (17.9%) | 0 (0%) | < 0.0001 |
| Nuclear enlargement | 26 (46.4%) | 8 (9.0%) | < 0.0001 |
| Difference in size of adipocytes | 26 (46.4%) | 24 (27.0%) | 0.016 |
| Proliferation of fibrous septa | 2 (3.6%) | 3 (3.4%) | 0.949 |
| Lipoblasts | 11 (19.6%) | 1 (1.1%) | < 0.0001 |
| MDM2 | 37/n = 46 (80.4%) | 0/n = 73 (0%) | < 0.0001 |
| CDK4 | 18/n = 33 (54.5%) | 0/n = 49 (0%) | < 0.0001 |
aneck (n = 4), chest (n = 2), retroperitoneum (n = 2), and back (n = 2).
bneck (n = 15), chest (n = 13), back (n = 6), and abdomen (n = 2).
MRI magnetic resonance imaging, ALT atypical lipomatous tumor, WDLS well-differentiated liposarcoma, FISH Fluorescence in Situ Hybridization, MDM2 murine double-minute 2, CDK4 cyclin-dependent kinase 4.
Univariate and multivariate logistic regression analysis of predictive factors for ALT/WDLS.
| Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|
| Odds ratio (95% CI) | Odds ratio (95% CI) | Standard partial | |||
| Age | 4.26 (1.87–9.74) | < 0.001 | 4.16 (0.93–18.60) | 0.062 | 1.425 |
| Sex | 1.30 (0.67–2.56) | 0.440 | |||
| Symptoms | 2.55 (0.69–9.47) | 0.162 | |||
| Tumor site | |||||
| Lower limb vs Upper limb or Other | 6.21 (2.97–13.00) | < 0.0001 | 5.51 (1.51–20.10) | 0.001 | 1.706 |
| Depth | > 1000 (0.00-Inf) | < 0.0001 | > 1000 (0.00-Inf) | < 0.0001 | 18.829 |
| Tumor size (> 11 cm) | 12.40 (5.20–29.60) | < 0.0001 | 4.83 (1.37–17.00) | 0.014 | 1.574 |
| Thick septa (> 2 mm) | 9.25 (3.08–27.80) | < 0.0001 | 5.56 (1.09–28.30) | 0.039 | 1.715 |
| Enhancement (septa or nodular lesion) | 24.50 (7.90–76.10) | < 0.0001 | 15.10 (2.91–77.90) | 0.001 | 2.711 |
| Neurovascular involvement | 8.63 (0.98–75.90) | 0.052 | |||
| Nuclear atypia | > 1000 (0.00-Inf) | < 0.0001 | |||
| Nuclear enlargement | 8.77 (3.58–21.50) | < 0.0001 | 1.69 (0.40–7.17) | 0.480 | 0.521 |
| Difference in size of adipocytes | 2.35 (1.16–4.74) | 0.018 | 0.91 (0.26–3.20) | 0.888 | − 0.090 |
| Proliferation of fibrous septa | 1.06 (0.17–6.56) | 0.949 | |||
| Lipoblasts | 21.5 (2.69–172.00) | 0.004 | 17.60 (1.08–286.00) | 0.043 | 2.548 |
| MDM2 and/or CDK4 | > 1000 (0.00-Inf) | < 0.0001 | |||
MRI magnetic resonance imaging, CI confidence interval, Inf infinity, ALT atypical lipomatous tumor, WDLS well-differentiated liposarcoma, FISH Fluorescence in Situ Hybridization, MDM2 murine double-minute 2, CDK4 cyclin-dependent kinase 4.
A combined scoring system for the preoperative differential diagnosing of ALT/WDLS.
| Predictive factors | Odds ratio | Points |
|---|---|---|
| Tumor size (MRI) | 4.83 | |
| ≤ 11 cm | 0 | |
| > 11 cm | 1 | |
| Tumor location (MRI) | 5.51 | |
| Upper limb or Other* | 0 | |
| Lower limb | 2 | |
| Thick septa (> 2 mm) (MRI) | 5.56 | |
| No | 0 | |
| Yes | 2 | |
| Enhancement of septa or nodular lesion (Enhanced MRI) | 15.10 | |
| No | 0 | |
| Yes | 3 | |
| Lipoblast (HE staining) | 17.60 | |
| Negative | 0 | |
| Positive | 3 | |
| Depth (MRI) | > 1000 | |
| Superficial | 0 | |
| Deeper than fascia | 5 | |
| Cutoff value | 9 / 16 points |
The total points ranged from 0 to 16, and the cutoff value was 9 points.
*: neck, chest, abdomen, back, and retroperitoneum.
MRI magnetic resonance imaging, HE hematoxylin and eosin, ALT atypical lipomatous tumor, WDLS well-differentiated liposarcoma.
Figure 1The distributions of six predictive factors of the scoring system in the ALT/WDLS and lipoma groups.
Figure 2Comparison of the total score of the ALT/WDLS and lipoma groups in the development cohort (mean points were 11.9 vs. 5.6, *p < 0.0001).
Characteristics of the validation cohort.
| Validation cohort (N = 40) | |
|---|---|
| Age | 58.3 ± 11.97 (32–80) |
| Sex | |
| Male | 19 |
| Female | 21 |
| Upper limb | 14 |
| Lower limb | 13 |
| Other | 13 |
| Neck | 6 |
| Back | 7 |
| ALT/WDLS | 9 |
| Lipoma | 31 |
ALT atypical lipomatous tumor, WDLS well-differentiated liposarcoma.
The predictive powers of the combined scoring system for the differential diagnosis between ALT/WDLS and lipoma in the development and validation cohort.
| Sensitivity | Specificity | NPV | PPV | Accuracy | Kappa coefficient | |
|---|---|---|---|---|---|---|
| Development cohort | 87.6% | 91.1% | 87.6% | 91.1% | 89.0% | 0.772 |
| Validation cohort | 80.0% | 96.7% | 93.5% | 88.9% | 92.5% | 0.793 |
NPV negative predictive value, PPV positive predictive value.
Figure 3Comparison of the total score of the ALT/WDLS and lipoma groups in the validation cohort (mean points were 12.2 vs. 3.4, *p < 0.0001).
Figure 4Radiological findings on MRI used in this study. (A) Thick septa (> 2 mm) (black arrow) and the sciatic nerve involved in the adipocytic tumor (black triangle) in T1-weighted image. (B). Enhancement of septa (white triangle) and nodular lesion (white arrow) in contrast-enhanced fat-suppression T2 image.
Figure 5Histopathological findings by HE staining and FISH examination for MDM2 used in this study. (A) Nuclear atypia, (B) lipoblast, (C) differences in size of adipocytes and proliferation of fibrous septa, (D) nuclear enlargement, and (E) lipoma specimen occupied by mature adipocytes without the differences in size in HE staining. (F) MDM2 gene amplification was detected by FISH.