Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2022 Jan 7;12:237. doi: 10.1038/s41598-021-04004-1

A scoring system combining clinical, radiological, and histopathological examinations for differential diagnosis between lipoma and atypical lipomatous tumor/well-differentiated liposarcoma

Yohei Asano 1, Shinji Miwa 1, Norio Yamamoto 1,, Katsuhiro Hayashi 1, Akihiko Takeuchi 1, Kentaro Igarashi 1, Hirotaka Yonezawa 1, Yoshihiro Araki 1, Sei Morinaga 1, Takayuki Nojima 1,2, Hiroko Ikeda 2, Hiroyuki Tsuchiya 1
PMCID: PMC8742117  PMID: 34997060

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.

Subject terms: Oncology, Signs and symptoms

Introduction

Adipocytic tumors are the most common soft tissue tumors, and the frequency of lipoma and atypical lipomatous tumor (ALT)/well-differentiated liposarcoma (WDLS) is high in clinical practice1. Most of the adipocytic tumors are either lipomas or ALTs, accounting for 40%–45% of all tumors of the adipose tissue2,3. On the other hand, liposarcomas are the most common soft tissue sarcoma4. ALT/WDLS is the most common subtype of liposarcoma, accounting for 40%–45% of all liposarcomas5,6. It has been reported that ALT and WDLS are essentially synonymous, as the lesions are morphologically and karyotypically identical distinguished only by the tumor site. Adipocytic tumors located in the retroperitoneal or regions in which the tumor cannot be resected with a sufficient margin are termed WDLS2, whereas those located in the extremities and superficial sites are classified as ALT1.

It has been difficult to differentiate between ALT/WDLS and lipoma preoperatively because their magnetic resonance imaging (MRI) findings are similar1, and small biopsy samples are insufficient for histopathological diagnosis7. The selection of surgical resection margins in these tumors remains controversial. ALT and WDLS are classified as intermediate (locally aggressive) and malignant tumors, respectively, and they have a high risk of local recurrence than lipoma7. Additionally, as they may undergo dedifferentiation and become malignant tumors8, some patients need wider resection margins while still avoiding dysfunction. Therefore, the preoperative differential diagnosis between ALT/WDLS and lipoma is critical for the determination of the resection margin.

Although there have been some reports regarding the usefulness and high accuracy of the assessment, such as fluorescence in situ hybridization (FISH) for murine double-minute 2 (MDM2) and cyclin-dependent kinase 4 (CDK4) for the diagnosis of ALT/WDLS916, these technologies require special equipment and reagents, so not all medical institutions can perform this examination7. The assessment with MRI and hematoxylin and eosin (HE) staining remains the standard method of diagnosis for adipocytic tumors, so it is crucial to determine the diagnosis by a comprehensive assessment of clinical, radiological, and histopathological examinations. Here, we evaluated the diagnostic accuracy of various findings in some examinations and aimed to develop a combined scoring system based on the accuracy of each finding for the preoperative differential diagnosis between ALT/WDLS and lipoma.

Results

The 145 participants of the development cohort comprised 77 men and 68 women, with a mean age of 58.8 ± 14.7 years (range 18–87 years). Based on the diagnoses established by the pathologists, the numbers of patients in the ALT/WDLS and lipoma groups were 56 and 89, respectively (Table 1). Of the 56 cases of ALT/WDLS, 46 cases underwent FISH for MDM2 and 37 cases (80.4%) were positive and diagnosed definitively. The other 10 cases were diagnosed based on histological features2,17 or positive of FISH for CDK4. All ALT/WDLS cases were followed up after surgery and recurrence was observed in 2 cases. Clinical findings showed that the mean age of patients in the ALT/WDLS group was significantly higher than that in the lipoma group (64.0 ± 13.3 vs. 55.7 ± 14.6, p < 0.001). All tumors in the ALT/WDLS group were located deep (100% vs. 67.4%, p < 0.0001) and significantly larger than those in the lipoma group (17.2 ± 6.7 cm vs. 9.7 ± 4.2 cm, p < 0.0001) (Table 1). On MRI, every criterion showed a significant difference between the ALT/WDLS and lipoma groups (thick septa (> 2 mm); p < 0.0001; enhancement; p < 0.0001; and neurovascular involvement, p = 0.0225). The histological findings by HE staining, such as nuclear atypia and enlargement, difference in size of adipocytes and lipoblasts, and FISH examination for MDM2 and/or CDK4 showed a significant differences between them (p < 0.0001). Only the proliferation of fibrous septa has a non-significant p-value of 0.949 (Table 1).

Table 1.

Characteristics of patients, MRI, and histopathological findings.

ALT/WDLS (N = 56) Lipoma (N = 89) p value
Clinical findings
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
MRI findings: n (%)
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
Histopathological findings: n (%)
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
FISH: positive number / n = total number (%)
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.

The tumor size was analyzed using the receiver operating characteristic (ROC) curve, with the cutoff value was set to 11 cm. In previous studies, cutoff values of tumor size for differential diagnosis between lipoma and ALT/WDLS were 10–13 cm1,18, and our result was consistent with those studies. Univariate analyses revealed that age, tumor location, depth and size, thick septa (> 2 mm), enhancement of septa or nodular lesions, histological findings excluding the proliferation of fibrous septa, and FISH examination for MDM2 and/or CDK4 were significantly different (Table 2). Among these factors, the odds ratio of tumor depth, nuclear atypia, and FISH examination were extremely higher than other factors. Particularly, nuclear atypia and FISH examination were not positive in the lipoma group in this study, and the specificity of these parameters for the diagnosis of ALT/WDLS was 100%. If nuclear atypia is found in the specimens of the adipocytic tumor, the diagnosis of lipoma is excluded. MDM2 and CDK4 gene amplification by FISH examination is considered the gold standard for the differential diagnosis between ALT/WDLS and lipoma15, and these gene amplifications are not observed in lipoma. From these results, nuclear atypia and FISH examination, which are used for the definitive diagnosis of ALT/WDLS, were excluded in this study. We aimed to develop a scoring system in which these factors were negative.

Table 2.

Univariate and multivariate logistic regression analysis of predictive factors for ALT/WDLS.

Univariate analysis Multivariate analysis
Odds ratio (95% CI) p value Odds ratio (95% CI) p value Standard partial
regression coefficient
Clinical findings
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
MRI findings
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
Histopathological findings
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
FISH
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.

Subsequently, multivariate analysis incorporating the variables with p < 0.05 in the univariate analysis was performed. In the analysis, tumor location (lower extremity), depth (deep site), and size (> 11 cm), thick septa (> 2 mm), enhancement of septa or nodular lesions, and lipoblasts were significantly different, and they had a high accuracy in the diagnosis of ALT/WDLS (Table 2).

Based on these results, a combined scoring system for the preoperative differential diagnosis of ALT/WDLS was developed according to the predictive factors (Table 3). For these factors, the distributions of ALT/WDLS and lipoma groups were shown in Fig. 1. With reference to the odds ratio, the points of this score were set as follows: < 5, 1 point; 5–10, 2 points; and > 10, 3 points. The odds ratio of the tumor depth was extremely high, so the point was set to 5 points. The total points ranged from 0 to 16, and the mean number of points of the ALT/WDLS group was significantly higher than that of the lipoma group (mean points of ALT/WDLS and lipoma groups were 11.9 versus 5.6, p < 0.0001) (Fig. 2). The cutoff value was 9 points based on the ROC curve analysis. The increased points suggested that the possibility of ALT/WDLS was higher, with a sensitivity of 87.6% and a specificity of 91.1%. The analysis of the ROC curve also showed an area under the curve (AUC) of 0.945, which indicated that the accuracy of this combined scoring system for the differential diagnosis of ALT/WDLS was very high. The validation cohort was summarized in Table 4, and in the cross-validation, the sensitivity, specificity, NPV, PPV, diagnostic accuracy, and kappa coefficient of the combined scoring system were 80.0%, 96.7%, 93.5%, 88.9%, 92.5%, and 0.793, respectively (Table 5). The mean score of the ALT/WDLS group was significantly higher than that of the lipoma group (mean points of ALT/WDLS and lipoma groups were 12.2 versus 3.4, p < 0.0001) (Fig. 3). If needle biopsy could not be performed, the total points were ranged from 0 to 13, excluding lipoblast, and the ROC curve analysis showed the cutoff value was 10 points and AUC was 0.943 with a sensitivity of 94.4% and a specificity of 80.4%.

Table 3.

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 1.

Figure 1

The distributions of six predictive factors of the scoring system in the ALT/WDLS and lipoma groups.

Figure 2.

Figure 2

Comparison 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).

Table 4.

Characteristics of the validation cohort.

Validation cohort (N = 40)
Clinical findings
Age 58.3 ± 11.97 (32–80)
Sex
 Male 19
 Female 21
Tumor site
Upper limb 14
Lower limb 13
Other 13
 Neck 6
 Back 7
Diagnosis
ALT/WDLS 9
Lipoma 31

ALT atypical lipomatous tumor, WDLS well-differentiated liposarcoma.

Table 5.

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 3.

Figure 3

Comparison 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).

Discussion

A lipoma is a benign tumor that can usually be treated conservatively1,7. Even if the tumor size is large, surgical treatment is not necessary as long as it remains asymptomatic. On the other hand, ALT/WDLS is the most common subtype of liposarcoma, and the treatment for these tumors is controversial1 because it is reported that 1%–4% of them undergo dedifferentiation1921 and may become malignant tumors2,8,19,22. If preoperative differential diagnosis between ALT/WDLS and lipoma is easy in ALT/WDLS patients, surgical resection is recommended before dedifferentiation1. The decision of the resection margin of ALT/WDLS is difficult because the local recurrence rate is high7. In our department, to prevent the recurrence, if the border between the normal tissue and the lipomatous tumor is ill-defined on MRI, sub-extensive resection is performed including the surrounding soft tissue, such as muscle tissue23. It has been reported that there was no significant difference in the recurrence rate between the wide and marginal resection in ALT24, and "conservative" surgery, aiming to preserve major vessels or nerves, may be recommended for deep-seated ALT/WDLS23,2527. Moreover, in recent years, Vos et al. reported that observation could be a reasonable option for selected patients with extremity WDLS28. However, insufficient resection may increase the risk of recurrence and dedifferentiation and resulting in the need for more surgery to perform additional tissue resection. For these reasons, it is crucial to make an accurate differential diagnosis between ALT/WDLS and lipoma for the preoperative plan of the appropriate resection margin and the appropriate selection of patients who can be observed.

For the differential diagnosis, previous studies reported critical factors such as clinical findings (older age13,29,30, tumor size [> 10 cm]1,12,29,31, tumor site [lower extremity]12,29,31, and deep-seated location1) and MRI findings (thick septa [> 2 mm]32,33, fat content less than 75%30, and contrast enhancement1). In this study, a multivariate analysis was performed to evaluate the predictive factors for ALT/WDLS, and there was a significant difference in tumor site (lower extremity), depth, size (> 11 cm), thick septa, and enhancement of septa or nodular lesions. All of these were consistent with the previously mentioned factors, demonstrating high accuracy for the differential diagnosis of ALT/WDLS. MRI findings have high sensitivity but low specificity for the diagnosis of ALT/WDLS, and it has been reported that it may be difficult to decide the diagnosis of them by only MRI findings7,29. On the other hand, Brisson et al. reported that histopathological examination could be used to distinguish ALT/WDLS from lipomas29, so for adipocytic tumors, needle biopsies have been generally performed preoperatively to obtain the diagnosis2.

Histopathological findings in the multivariate analysis showed that lipoblasts were statistically significant for the diagnosis of ALT/WDLS. Traditionally, lipoblasts have been emphasized as a histopathological finding in the diagnosis of liposarcoma34. However, lipoblasts are also observed in benign lipogenic tumors such as spindle cell/pleomorphic lipoma. Furthermore, it has been reported that they are not always observed in ALT/WDLS35. Although the diagnostic accuracy of lipoblasts in the diagnosis of ALT/WDLS has not been clarified, our study revealed that their sensitivity was low (19.6%), but the specificity was very high (98.9%). Only lipoblasts cannot make a definitive diagnosis of ALT/WDLS, but they may be important factors in the diagnosis by comprehensive evaluations together with clinical and radiological examinations.

In this study, nuclear atypia had a significant difference in the differential diagnosis of ALT/WDLS by univariate analysis. ALT/WDLS features a mature adipocytic tumor showing atypical hyperchromatic nuclei2, which is consistent with our results. No nuclear atypia is found in lipoma, which is a benign tumor, so this characteristic is used for the rule out of the diagnosis of these tumors. The specificity of nuclear atypia was 100% in the diagnosis of ALT/WDLS in this study. However, needle biopsies may not provide enough sample for the identification of unequivocal atypical cells7,36, and the atypical stromal cells sometimes scatter throughout the lesion; therefore, in some cases, the difference between ALT/WDLS and lipoma may be subtle challenging the differential diagnosis process36.

In addition, FISH examination for MDM2 and CDK4 gene amplification has provided the most accuracy for the diagnosis of ALT/WDLS913,15,16, and it is considered the gold standard for the differential diagnosis between ALT/WDLS and lipoma15. In this study, as well as previous studies, MDM2 and/or CDK4 amplification by FISH examination showed a significant difference as a predictive factor for ALT/WDLS. Furthermore, the specificity was 100%. MDM2 gene amplification in FISH examination has high sensitivity and specificity15, and this finding has been used for the definitive diagnosis of ALT/WDLS. However, similar to nuclear atypia, an insufficient sample and the selection of an inappropriate needle biopsy site might complicate the accurate exclusion of a diagnosis of ALT/WDLS due to the absence of MDM2 gene amplification. Generally, HE staining in the histopathological examination can be performed in many institutions, but FISH examination requires special equipment and reagents, which not all institutions are equipped to perform7. For these reasons, this study excluded the nuclear atypia and FISH examination used for the definitive diagnosis of ALT/WDLS.

In fact, of the 56 cases that diagnosed ALT/WDLS by the resected specimens, 45 cases had obtained an accurate diagnosis by needle biopsy and the diagnostic accuracy was 80.3% in this study. Pohlig et al. reported that the diagnostic accuracy of needle biopsy and open biopsy for soft tissue tumors were 84.6% and 100%, respectively37. Although our diagnostic accuracy of needle biopsy was almost consistent with this report, it was less accurate than open biopsy. Especially, in lipomatous tumors that are difficult to make a differential diagnosis by pathological findings, collecting sufficient samples by an accurate needle biopsy procedure is indispensable. Torriani et al. reported that sonographically guided procedures improved the diagnostic accuracy of needle biopsy for soft tissue tumors38. Therefore, in ALT/WDLS which are often developed in the deep site and showed irregular shapes, this technique will be helpful for accurate needle insertion and should be recommended.

Based on these results, in adipocytic tumors, the differential diagnosis should be evaluated based on a comprehensive assessment of clinical, radiological, and histopathological examinations. Although a few scoring systems for the differential diagnosis of ALT/WDLS based on radiological findings have been reported1,7, there is no diagnostic scoring system that includes histopathological findings. In the previous studies of similar scoring systems, Nagano et al. reported a sensitivity of 100% and specificity of 77%1, and Cheng et al. reported a sensitivity of 90% and specificity of 92.5%7. The diagnostic accuracy for ALT/WDLS of our scoring system is almost the same as in these studies. However, Nagano et al. study examined 48 lipomas and 12 ALTs, without including WDLS, and the case number was lower compared with our study1. In addition, this study investigated adipocytic tumors in all locations, but Cheng et al. investigated only deep-seated adipocytic tumors7. These limitations may have affected the difference in accuracy between our scoring system and those studies.

Although the diagnostic accuracy of our combined scoring system for ALT/WDLS was slightly lower than that of FISH for MDM2, our scoring system will help to preoperative differential diagnosis between ALT/WDLS and lipoma. Therefore, in the case that ALT/WDLS is suspected in this scoring system, sub-extensive resection will be recommended for surgeons. Furthermore, in our scoring system, if needle biopsy could not be performed, the AUC was 0.943 by the ROC curve and the diagnostic accuracy was high. The sensitivity and specificity were 94.4% and 80.4%, respectively, which is useful for screening test of ALT/WDLS in clinics where pathological examination cannot be performed. However, because of the risk of false-positives cases, if ALT/WDLS is suspected in this scoring system, consultation for specialists of oncology should be recommended.

This study had a limitation that the evaluation of specimens of needle biopsy may be affected by the biopsy site and the amount of sample. If a preoperative needle biopsy can be performed with an accurate procedure, the diagnostic accuracy for ALT/WDLS of this scoring system may be higher, which makes it a very useful diagnostic tool for the preoperative differential diagnosis of adipocytic tumors.

In conclusion, we developed a new combined scoring system based on a comprehensive assessment of clinical, radiological, and histopathological examinations for the preoperative differential diagnosis between ALT/WDLS and lipoma. This scoring system had high diagnostic accuracy for differential diagnosis of ALT/WDLS and was a useful preoperative diagnostic tool that anyone can use easily in many medical institutions.

Materials and methods

Study design and patients

This retrospective study included patients diagnosed with ALT/WDLS or lipoma from January 2005 to August 2021 collected from the database at Kanazawa University Hospital. A total of 337 patient charts were extracted, and 145 patients who underwent surgical resection after evaluation by MRI and needle biopsy were included as the development cohort in this study. The diagnoses were established by pathologists based on the resected specimens. Histologically, ALT/WDLS has been reported that the proliferation of mature and variably pleomorphic adipocytes containing single, enlarged, hyperchromatic nuclei, and intersection by fibrous septa are observed and distinguished from lipoma2,17. Of the 145 resected specimens, 82 cases were diagnosed with lipoma based on these histological features, but in the other 63 cases that differential diagnosis was histologically difficult were performed FISH of MDM2 and/or CDK4 and diagnosed. Spindle cell lipoma and pleomorphic lipoma which have relatively typical pathological findings, and tumor recurrences were excluded from this study. Furthermore, to assess the reproducibility of the combined scoring system for differential diagnosis between ALT/WDLS and lipoma, 40 patients with lipomatous tumors diagnosed between January 2020 and August 2021 were included in the validation cohort. The inclusion and exclusion criteria of the participants were the same as that of the development cohort, and evaluated the sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), diagnostic accuracy, and kappa coefficient of the score as the cross-validation. This study was approved by the ethics committee of Kanazawa University Hospital, and Informed consent was obtained from all the participants. In addition, all methods were carried out in accordance with relevant guidelines and regulations.

Data analyses

We collected the patients’ clinical characteristics, including age, sex, symptoms (pain and numbness), and tumor size, site, and depth from the medical records. The tumor size was measured by the greatest tumor diameter and the tumor depth was defined as a superficial or deep site with the fascia as the boundary by MRI (GE Healthcare Signa HDx 1.5 T, United States, GE Healthcare Signa HDxT 3.0 T, United States, and Philips Ingenia Elition 3.0 T, Netherlands). The MRI examination protocols were included sequences in sagittal, coronal, and axial planes using T1-weighted, T2-weighted, short T1 inversion recovery (STIR), and fat-suppressed T1 or T2-weighted images. Based on the previous studies regarding MRI findings used to distinguish ALT/WDLS and lipoma, radiologists evaluated three criteria: thick septa (> 2 mm), enhancement of septa or nodular lesions, and neurovascular involvement in the tumor1,32,33 (Fig. 4). The enhancement of septa or nodular lesions was evaluated on fat-suppressed T1 or T2-weighted images after the administration of contrast medium. All images were evaluated by 2 specialists of radiology, and in cases that their evaluations were equivocal, evaluated by another specialist and diagnosed with an agreement of inter-observer. Furthermore, based on histological findings by HE staining from needle biopsies specimens, the pathologists evaluated characteristics such as nuclear atypia and enlargement, proliferation of fibrous septa, differences in the size of adipocytes, and lipoblasts2,8,33 (Fig. 5). Lipoblasts were defined as the cells having hyperchromatic indented or sharply scalloped nuclei and lipid-rich mono- or multivacuolated cytoplasm8,39. In most patients diagnosed after 2013, the needle biopsy specimens were evaluated by FISH for MDM2 and/or CDK4 based on the recommended criteria for the test; deep lesions that are > 10 cm and in cases with equivocal atypia11. The probes used for the FISH analyses were Vysis LSI MDM2 Spectrum Orange probe and Vysis CEP12(D12Z3) Spectrum Green probe (Abbott, USA) for MDM2, and Kreatech™ CDK4(12q13)/SE12 FISH probe (Leica Biosystems, Germany) for CDK4. FISH was performed using the same methods and protocols as previous report of our study group10.

Figure 4.

Figure 4

Radiological 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 5.

Figure 5

Histopathological 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.

Statistical analyses

These characteristics and findings were compared between the ALT/WDLS and lipoma groups by Student’s t-test or the chi-square test. A p-value of less than 0.05 was considered statistically significant. Univariate logistic regression analysis was performed to determine the predictive factors for the diagnosis of ALT/WDLS and variables with p < 0.05 from univariate analysis were used for multivariate logistic regression analysis. A combined scoring system for the diagnosis of ALT/WDLS was developed according to the predictive factors that showed statistical significance by multivariate analyses. The accuracy of the diagnoses of the scoring system was evaluated using a ROC curve. All data analyses were performed using EZR40.

Acknowledgements

We would like to thank Editage (www.editage.jp) for English language editing.

Author contributions

All authors were involved in the preparation of this study. Y.A. and S.M. collected the data and performed the operation, and Y.A. wrote the manuscript. N.Y., K.H., A.T., K.I., H.Y., Y.A., and S.M. performed the operation and designed the study. T.N. and H.I. performed a histopathological evaluation of the specimens. H.T. revised the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Nagano S, et al. Differentiation of lipoma and atypical lipomatous tumor by a scoring system: implication of increased vascularity on pathogenesis of liposarcoma. BMC. Musculoskelet. Disord. 2015;16:36. doi: 10.1186/s12891-015-0491-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.The World Health Organization classification of Tumor Editorial Board. WHO Classification of Tumors Soft Tissue and Bone Tumors. 5th ed. Lyon. (IARC Press, 2020).
  • 3.Dalal KM, Antonescu CR, Singer S. Diagnosis and management of lipomatous tumors. J. Surg. Oncol. 2008;97:298–313. doi: 10.1002/jso.20975. [DOI] [PubMed] [Google Scholar]
  • 4.Coindre JM. New WHO classification of tumors of soft tissue and bone. Ann. Pathol. 2012;32(Suppl 5):115–116. doi: 10.1016/j.annpat.2012.07.006. [DOI] [PubMed] [Google Scholar]
  • 5.Wang, J. & Zhu, X. Z. Introduction of WHO classification of tumours of soft tissue, the fourth edition. Zhonghua. Bing. Li. Xue. Za. Zhi. 42, 363–365 (2013). [DOI] [PubMed]
  • 6.Conyers R, Young S, Thomas DM. Liposarcoma: Molecular genetics and therapeutics. Sarcoma. 2011 doi: 10.1155/2011/483154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Cheng Y, et al. Developing a clinical scoring system to differentiated deep-seated atypical lipomatous tumor from lipoma of soft tissue. Asian. J. Surg. 2019;42:832–838. doi: 10.1016/j.asjsur.2018.12.012. [DOI] [PubMed] [Google Scholar]
  • 8.Laurino L, Furlanetto A, Orvieto E, Dei Tos AP. Well-differentiated liposarcoma (atypical lipomatous tumors) Semin. Diagn. Pathol. 2001;18:258–262. [PubMed] [Google Scholar]
  • 9.Binh MB, et al. MDM2 and CDK4 immunostainings are useful adjuncts in diagnosing well-differentiated and dedifferentiated liposarcoma subtypes: a comparative analysis of 559 soft tissue neoplasms with genetic data. Am. J. Surg. Pathol. 2005;29:1340–1347. doi: 10.1097/01.pas.0000170343.09562.39. [DOI] [PubMed] [Google Scholar]
  • 10.Kimura H, et al. Utility of fluorescence in situ hybridization to detect MDM2 amplification in liposarcomas and their morphological mimics. Int. J. Clin. Exp. Pathol. 2013;6:1306–1316. [PMC free article] [PubMed] [Google Scholar]
  • 11.Clay MR, Martinez AP, Weiss SW, Edgar MA. MDM2 amplification in problematic lipomatous tumors: Analysis of FISH testing criteria. Am. J. Surg. Pathol. 2015;39:1433–1439. doi: 10.1097/PAS.0000000000000468. [DOI] [PubMed] [Google Scholar]
  • 12.Fisher SB, et al. The General surgeon’s quandary: atypical lipomatous tumor vs lipoma, who needs a surgical oncologist? J. Am. Coll. Surg. 2013;217:881–888. doi: 10.1016/j.jamcollsurg.2013.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Weaver J, et al. Can MDM2 analytic tests performed on core needle biopsy be relied upon to diagnose well-differentiated liposarcoma? Mod. Pathol. 2010;23:1301–1306. doi: 10.1038/modpathol.2010.106. [DOI] [PubMed] [Google Scholar]
  • 14.Kulkarni AS, et al. MDM2 RNA in situ hybridization for the diagnosis of atypical lipomatous tumor: A study evaluating DNA, RNA, and protein expression. Am. J. Surg. Pathol. 2019;43:446–454. doi: 10.1097/PAS.0000000000001199. [DOI] [PubMed] [Google Scholar]
  • 15.Kashima T, et al. Sensitivity of MDM2 amplification and unexpected multiple faint alphoid 12 (alpha 12 satellite sequences) signals in atypical lipomatous tumor. Mod. Pathol. 2012;25:1384–1396. doi: 10.1038/modpathol.2012.90. [DOI] [PubMed] [Google Scholar]
  • 16.Dei Tos AP, et al. Coordinated expression and amplification of the MDM2, CDK4, and HMGI-C genes in atypical lipomatous tumours. J. Pathol. 2000;190:531–536. doi: 10.1002/(SICI)1096-9896(200004)190:5&#x0003c;531::AID-PATH579&#x0003e;3.0.CO;2-W. [DOI] [PubMed] [Google Scholar]
  • 17.Lee ATJ, Thway K, Huang PH, Jones RL. Clinical and molecular spectrum of liposarcoma. J. Clin. Oncol. 2018;36:151–159. doi: 10.1200/JCO.2017.74.9598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Knebel C, et al. Differentiating atypical lipomatous tumors from lipomas with magnetic resonance imaging: a comparison with MDM2 gene amplification status. BMC Cancer. 2019;19:309. doi: 10.1186/s12885-019-5524-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Sommerville SM, Patton JT, Luscombe JC, Mangham DC, Grimer RJ. Clinical outcomes of deep atypical lipomas (well-differentiated lipoma-like liposarcomas) of the extremities. ANZ. J. Surg. 2005;75:803–806. doi: 10.1111/j.1445-2197.2005.03519.x. [DOI] [PubMed] [Google Scholar]
  • 20.Bassett MD, et al. Deep-seated, well differentiated lipomatous tumors of the chest wall and extremities: the role of cytogenetics in classification and prognostication. Cancer. 2005;103:409–416. doi: 10.1002/cncr.20779. [DOI] [PubMed] [Google Scholar]
  • 21.Kooby DA, Antonescu CR, Brennan MF, Singer S. Atypical lipomatous tumor/well-differentiated liposarcoma of the extremity and trunk wall: importance of histological subtype with treatment recommendations. Ann. Surg. Oncol. 2004;11:78–84. doi: 10.1007/BF02524350. [DOI] [PubMed] [Google Scholar]
  • 22.Lucas DR, Nascimento AG, Sanjay BK, Rock MG. Well-differentiated liposarcoma. The Mayo Clinic experience with 58 cases. Am. J. Clin. Pathol. 1994;102:677–683. doi: 10.1093/ajcp/102.5.677. [DOI] [PubMed] [Google Scholar]
  • 23.Yamamoto N, et al. Treatment strategies for well-differentiated liposarcomas and therapeutic outcomes. Anticancer. Res. 2012;32:1821–1825. [PubMed] [Google Scholar]
  • 24.Mussi CE, et al. Atypical lipomatous tumors: should they be treated like other sarcoma or not? Surgical consideration from a bi-institutional experience. Ann. Surg. Oncol. 2014;21:4090–4097. doi: 10.1245/s10434-014-3855-7. [DOI] [PubMed] [Google Scholar]
  • 25.Chang DH, Ma H, Liao WC, Huang MH, Wu PS. Atypical lipomatous tumors of the extremities and trunk wall-the first case series of Chinese population with 45 cases. Ann. Plast. Surg. 2016;76(Suppl 1):8–12. doi: 10.1097/SAP.0000000000000702. [DOI] [PubMed] [Google Scholar]
  • 26.Gronchi A, et al. Extremity soft tissue sarcoma in a series of patients treated at a single institution: local control directly impacts survival. Ann. Surg. 2010;251:506–511. doi: 10.1097/SLA.0b013e3181cf87fa. [DOI] [PubMed] [Google Scholar]
  • 27.Kubo T, Sugita T, Shimose S, Arihiro K, Ochi M. Conservative surgery for well-differentiated liposarcomas of the extremities adjacent to major neurovascular structures. Surg. Oncol. 2006;15:167–171. doi: 10.1016/j.suronc.2006.11.004. [DOI] [PubMed] [Google Scholar]
  • 28.Vos M, Grünhagen DJ, Koseła-Paterczyk H, Rutkowski P, Sleijfer S, Verhoef C. Natural history of well-differentiated liposarcoma of the extremity compared to patients treated with surgery. Surg. Oncol. 2019;29:84–89. doi: 10.1016/j.suronc.2019.04.004. [DOI] [PubMed] [Google Scholar]
  • 29.Brisson M, et al. MRI characteristics of lipoma and atypical lipomatous tumor/well-differentiated liposarcoma: retrospective comparison with histology and MDM2 gene amplification. Skeletal. Radiol. 2013;42:635–647. doi: 10.1007/s00256-012-1517-z. [DOI] [PubMed] [Google Scholar]
  • 30.Kransdorf MJ, Bancroft LW, Peterson JJ, Murphey MD, Foster WC, Temple HT. Imaging of fatty tumors: distinction of lipoma and well-differentiated liposarcoma. Radiology. 2002;224:99–104. doi: 10.1148/radiol.2241011113. [DOI] [PubMed] [Google Scholar]
  • 31.Bird JE, et al. Non-radiographic risk factors differentiating atypical lipomatous tumors from lipomas. Front. Oncol. 2016;6:197. doi: 10.3389/fonc.2016.00197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Ohguri T, et al. Differential diagnosis of benign peripheral lipoma from well-differentiated liposarcoma on MR imaging: is comparison of margins and internal characteristics useful? AJR. Am. J. Roentgenol. 2003;180:1689–1694. doi: 10.2214/ajr.180.6.1801689. [DOI] [PubMed] [Google Scholar]
  • 33.Arkun R, Memis A, Akalin T, Ustun EE, Sabah D, Kandiloglu G. Liposarcoma of soft tissue: MRI findings with pathologic correlation. Skeletal. Radiol. 1997;26:167–172. doi: 10.1007/s002560050214. [DOI] [PubMed] [Google Scholar]
  • 34.Hisaoka M. Lipoblast: morphological features and diagnostic value. J. UOEH. 2014;36:115–121. doi: 10.7888/juoeh.36.115. [DOI] [PubMed] [Google Scholar]
  • 35.Dei Tos AP. Liposarcomas: diagnostic pitfalls and new insights. Histopathology. 2014;64:38–52. doi: 10.1111/his.12311. [DOI] [PubMed] [Google Scholar]
  • 36.Coindre JM, Pedeutour F, Aurias A. Well-differentiated and dedifferentiated liposarcomas. Virchows. Arch. 2010;456:167–179. doi: 10.1007/s00428-009-0815-x. [DOI] [PubMed] [Google Scholar]
  • 37.Pohlig F, et al. Percutaneous core needle biopsy versus open biopsy in diagnostics of bone and soft tissue sarcoma: a retrospective study. Eur. J. Med. Res. 2012;17:29. doi: 10.1186/2047-783X-17-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Torriani M, Etchebehere M, Amstalden E. Sonographically guided core needle biopsy of bone and soft tissue tumors. J. Ultrasound. Med. 2002;21:275–281. doi: 10.7863/jum.2002.21.3.275. [DOI] [PubMed] [Google Scholar]
  • 39.Goldblum JR, Folpe AL, Weiss SW. Enzinger & Weissʼs Soft Tissue Tumors. 6. Amsterdam: Elsevier; 2013. pp. 484–523. [Google Scholar]
  • 40.Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone. Marrow. Transplant. 2013;48:452–458. doi: 10.1038/bmt.2012.244. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES