CC BY-NC-ND 4.0 · Indian J Med Paediatr Oncol 2021; 42(06): 547-553
DOI: 10.1055/s-0041-1740113
Original Article

Prognostic Significance of Clinical and Post-Neoadjuvant Chemotherapy Associated Histomorphological Parameters in Osteosarcoma: A Retrospective Study from a Tertiary Care Center

Navatha Vangala
1   Department of Pathology, Nizams Institute of Medical Sciences, Hyderabad, Telangana, India
,
Shantveer G. Uppin
1   Department of Pathology, Nizams Institute of Medical Sciences, Hyderabad, Telangana, India
,
K. Nageshwara Rao
2   Department of Orthopaedics, Nizams Institute of Medical Sciences, Hyderabad, Telangana, India
,
P. Chandrasekhar
2   Department of Orthopaedics, Nizams Institute of Medical Sciences, Hyderabad, Telangana, India
,
3   Department of Medical Oncology, Nizams Institute of Medical Sciences, Hyderabad, Telangana, India
› Author Affiliations
Funding Nil
 

Abstract

Introduction Osteosarcoma is the most prevalent bone cancer in adolescents. Neoadjuvant chemotherapy (NACT) followed by resection is the current modality of treatment for osteosarcoma. Histological evaluation of extent of tumor necrosis on resection is a well-established prognostic indicator in osteosarcoma correlating with survival in most cases.

Objectives The main objective of this study was to establish prognostic significance of various clinical and histological parameters post-NACT in osteosarcoma and to compare the integrated prognostic index proposed by Chui et al, with grading of response to NACT by Huvos and Rosen for osteosarcoma.

Materials and Methods This is a retrospective study done over a period of four years and includes 47 cases of osteosarcoma treated with NACT. All slides were reviewed and association of various clinical and histological parameters with overall survival was assessed with chi-squared test and Cox-regression analysis.

Results Statistical analysis revealed the prognostic significance of age at presentation, anatomic site, primary tumor size, metastatic status, and clinical stage. Histological parameters such as mitosis ≥10/10hpfs, ≥10% residual tumor were significantly associated with poor survival. Tumor necrosis ≥ 90% (excluding areas of hemorrhage, fibrosis and acellular osteoid) was significantly associated with increased survival. An integrated prognostic index formed by combining above parameters gives a better estimate of overall survival compared with residual disease or necrosis alone.

Conclusion Integrated prognostic index improves prognostication in patients treated for osteosarcoma.


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Introduction

Osteosarcoma is the most prevalent bone cancer in adolescents. Current modality of treatment is neoadjuvant chemotherapy (NACT) followed by surgical ablation. Traditionally, only post-chemotherapy necrosis is considered the best prognostic parameter. In addition to tumor necrosis, chemotherapy induces variable histological alterations. These changes along with various clinical parameters are of prognostic significance and an essential component for treatment stratification. The present study aims to establish prognostic significance of these parameters and also to compare integrated prognostic index proposed by Chui et al,[1] with grading of response to NACT by Huvos and Rosen,[2] and residual disease alone.


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Materials and Methods

This is a retrospective study done between January 2015 and December 2018 during which 50 cases of osteosarcoma were resected at our institute which is a tertiary hospital. All cases (n = 47) of high-grade conventional osteosarcoma and telangiectatic osteosarcomas with preoperative NACT were included in the study. The study was designed to assess the significance of clinical and morphological features as independent (primary outcome) prognostic factors as well as in combination (secondary outcome) in treated cases of osteosarcoma. Cases diagnosed as paraosteal osteosarcomas (n = 3) were treated with only resection and were excluded. Clinical, gross findings were collected, microscopic findings were reviewed, and chemotherapy response was assessed for each case.

Presurgical Treatment

All the cases were treated as per the standard osteosarcoma treatment protocol.[3] [4] [5] [6] [7] [8] Cases with localized disease were treated preoperatively with two cycles of Adriamycin and cisplatin followed by resection of the lesion. This was followed by four cycles of chemotherapy post-surgery. Cases with metastatic disease at presentation received four to six cycles of the above said chemotherapeutic agents upfront followed by resection of primary if possible. Since our intent of treatment is cure, dose intensity was maintained with appropriate supportive care (cisplatin 60 mg/m2 D1 & D2 and Adriamycin 37.5 mg/m2 D1 & D2 every 21 days).

The following clinical and morphological data was collected.

Clinical Data

Age, sex, presence or absence of metastasis, clinical stage, tumor location.


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Grossing

A full-face longitudinal section/flap of ∼0.3 to 0.4 cm in thickness is taken that displays the greatest extent of tumor as well as any cortical defects. Entire longitudinal section is submitted mapping the tumor with a minimum of one block per centimeter of the tumor. Areas that represent intratumoral heterogeneity are additionally sampled and a minimum of 30 sections of resected tumor were examined microscopically to quantify the tumor response.


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Morphological Data

  • Size of the tumor, tumor subtype, involvement of resected margins.

  • Presence or absence of lymphovascular invasion, mitosis /10hpf.

  • Post-chemotherapy changes such as areas of necrosis/ acellular osteoid, fibrosis/ hyalinization, and residual disease were quantified separately by estimating their percentage in the slides with tumor and then mean was calculated based on the number of slides with tumor. In every case, post-chemotherapy response grade as proposed by Huvos and Rosen[2] and the integrated prognostic index as proposed by Chui et al,[1] was assessed.


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Statistical Analysis

Overall survival was calculated from date of primary surgery to date of last follow-up or date of death from any cause. Association of clinical and histological parameters with overall survival assessed with chi-squared test and Cox-regression analysis using SPSS software, version 26.0 (IBM Corp., Armonk, New York, United States).


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Ethics

The study was approved by the Nizams Institute of Medical Sciences (NIMS), Institutional Ethics Committee with approval number of EC/NIMS/2623/2020 dated December 2, 2020. The procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional) and with the Helsinki Declaration of 1964, as reviewed in 2013. Consent waiver form was obtained from the Ethics Committee due to the retrospective nature of the study.


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Results

The 47 cases included in the study affected 32 men and 15 women with M: F of 2:1. Centrally located tumors affected relatively older individuals (median: 37 years, range: 20–62 years) compared with peripherally located ones (median: 17 years, range: 7–44 years.) There was no missing data for any variable included in the study.

Most common presenting complaint was pain with swelling (40/47) (85%) followed by swelling alone (5/47) (11%) and 4% (2/47) cases had a history of pathological fracture. All the cases were primary osteosarcoma without any pre-existing bone conditions. The affected sites of these cases are depicted in [Fig. 1]. Among peripherally located tumors (n = 41), the most common location was distal femur followed by proximal tibia. Among centrally located tumors (n = 6), mandible was the most common site. Of these 47 cases, preoperative fine needle aspiration and/or biopsy slides were available for review in 43 cases.

Zoom Image
Fig. 1 Pictorial representation of tumor site distribution of osteosarcoma.

Median size of the tumor at resection was 9 cm with a range of 2.9 to 21.5 cm. Central tumors were of larger size (median 12 cm) compared with peripheral tumor (median 7.3 cm). The former also most often infiltrated overlying skin compared with the later (4/6 cases vs. 2/41 cases).

Histological Findings

Tumor subtyping was done on both biopsy and resection specimens. The concordance rate between initial diagnosis on biopsy and final diagnosis on resection was very high (92%). Of the 47 tumors, 42 were conventional osteosarcomas, with 35 of them having osteoblastic and seven chondroblastic morphology. The remaining five were telangiectatic osteosarcomas. Histopathological diagnosis of chondroblastic variant was made based on the predominance of chondroid matrix in the midst of neoplastic cells in ∼40 to 50% of the entire specimen. Various post-chemotherapy morphological findings listed above were assessed in every case ([Fig. 2]). Microscopic involvement of surgical resected margin was noted in 6/47 cases (12.7%).

Zoom Image
Fig. 2 Post-chemotherapy changes in osteosarcoma. (A) Necrosis, (B) acellular osteoid, (C) fibrosis, (D) lymphovascular invasion, (E) atypical mitosis (arrows), and (F) residual disease with skin involvement (x 400, hematoxylin and eosin).

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Survival Analysis

The median duration of follow-up was 3 years with a range from 1 to 5 years. The median overall survival was 16 months with a range of 3 to 56 months. At the last follow-up, 15 patients had died, of which one had developed post-chemotherapy cytopenia with subsequent sepsis, 10 patients had metastasis, 2 had recurrences, and 2 died with the primary disease. Of the 32 patients who were alive at last follow-up, eight cases had metastasis, one had recurrence, and the remaining 23 cases were alive with no evidence of recurrence or metastatic disease. In total, 18 cases had metastasis of which 10 patients expired and the rest (n = 8) were alive at last follow-up. Five of the 18 cases had metastasis at presentation of which two died during the treatment and three were alive at the last follow-up with stable disease. There was no significant difference in overall survival and prognosis in patients with metastasis at presentation when compared with patients with subsequent metastasis.

Prognostic significance of each parameter is assessed in comparison with 1, 3, and 5 year's survival rates based on date of resection and with overall survival irrespective of date of resection. By chi-squared analysis, the clinical parameters ([Table 1]), which were significantly associated with increased survival, include age at presentation <40 years (p = 0.041), male gender (p = 0.05), primary tumor size < 8cm (p = 0.035), absence of metastases (p = 0.003), clinical stages I and II (p = 0.002), and tumor located in extremities (p = 0.037).

Table 1

Statistical analysis by chi-squared test to assess the prognostic significance of various clinical parameters in osteosarcoma

Chi-squared analysis

1 years survival (n = 47)

3 years survival (n = 20)

5 years survival (n = 13)

Overall survival

Parameter

%

p-Value[a]

%

p-Value

%

p-Value

%

p-Value

Age (in years)

<40

83

0.363

81

0.028

80

0.125

74

0.041

>40

100

25

33

25

Sex

Women

77

0.297

56

0.202

60

0.569

53

0.05

Men

88

82

75

79

Size (cm)

≤ 8 (T1)

89

0.115

100

0.001

86

0.164

82

0.035

> 8 (T2)

77

33

50

55

Metastasis

Absent

91

0.088

73

0.573

90

0.003

84

0.003

Present

72

60

0

44

Clinical stage

IA

100

0.094

100

0.015

100

0.014

100

0.002

IIA

100

100

100

100

IIB

75

20

50

58

III/IV

72

60

0

44

Tumor location

Extremities

86.4

0.002

81

0.028

73

0.522

75

0.037

Head and trunk

33.3

25

50

33

a p-Value of significance.


With respect to histological subtypes, all five cases with telangiectatic subtypes were alive at last follow-up. These patients had a favorable prognosis with better overall survival rate (100% vs. 64.3, p = 0.043) in comparison with conventional osteosarcomas. Histological parameters ([Table 2]) such as mitosis ≥10/10hpfs (p = 0.032), ≥10% residual tumor (p < 0.001) were significantly associated with poor survival. Tumor necrosis ≥ 90% (p = 0.012) was significantly associated with increased survival. On comparison, integrated prognostic index was found to be significantly better parameter than Huvos and Rosen grades in assessing survival outcome with a p-value < 0.001.

Table 2

Statistical analysis by chi-squared test to assess the prognostic significance of various morphological parameters in osteosarcoma

Chi-squared analysis

1 year survival (n = 47)

3 years survival (n = 20)

5 years survival (n = 13)

Overall survival

Parameter

%

p-Value[a]

%

p-Value

%

p-Value

%

p-Value

Mitosis /10high power fields

0–9

92

0.02

77

0.264

86

0.188

81

0.032

10–19

58

67

60

42

≥20

100

0

0

50

Necrosis

<50%

73

0.012

58

0.163

57

0.308

57

0.012

≥50%

100

88

83

90

Residual disease

< 10%

100

0.012

100

0.012

100

0.206

100

0.001

10–49%

88

78

72

71

≥50%

58

20

33

33

Huvos and Rosen score

1

71

0.205

50

0.040

50

0.359

52

0.084

2

91

14

83

72

3

100

100

100

100

4

100

100

Integrated prognostic index

0.1b

95

0.0001

100

1.002

100

0.043

90

0.0001

2.3c

95

75

71

75

4.5d

40

0

0

20

a p-Value of significance, b(0.1), low risk, c(2.3), intermediate risk), d(4.5) high risk.


Cox-regression analysis also revealed integrated prognostic index as a significantly better prognostic parameter (p = 0.0360) in comparison to Huvos and Rosen grades (p = 0.244) and residual disease (p = 0.099) alone as depicted in [Table 3]. Hazard ratios for Huvos and Rosen grade I and II as well as the moderate and high-risk categories based on prognostic index were high indicating the poor survival outcome.

Table 3

Multivariate Cox-regression analysis to compare prognostic significance of Huvos and Rosen grades, residual disease with integrated prognostic index in osteosarcoma

Cox-regression analysis

1 years survival (n = 47)

3 years survival (n = 20)

5 years survival (n = 13)

Parameter

HR[a]

95% CIb

p-Valuec

HR

(95% CI)

p-Value

HR

95% CI

p-Value

Huvos and Rosen grade

1

6.55

1.9–2.3

0.003

4.2

1.2–14.4

0.108

2.2

1.3–8.16

0.244

2

2.45

1.25–4.68

2.86

1.23–5.25

2.12

1.35–6.14

3

1.65

0.96–2.78

1.15

0.92–3.1

1.53

0.94–2.18

4

1

1.12

0.85–2.3

1.09

0.83–2.5

Residual disease (%)

<10

1

0.012

1

0.019

1.5

0.93–3.6

0.099

≥10

5

1.4–12.4

6

1.3–16

4.2

1.2–12

Integrated prognostic index

0.1

1

0.003

1

0.003

1

0.036

2.3

3.2

1.6–5.6

2.6

1.3–5.8

2.05

1.3–4.2

4.5

6.55

1.9–22.3

5.2

2.2–27

4.6

1.2–18

a HR, hazard ratio, bCI, confidence interval, c p-Value of significance.



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Discussion

Osteosarcoma is a primary malignant bone tumor with bimodal age distribution most commonly seen in second and third decades.[3] It has a predilection for sites with rapid growth and most proliferative growth plates such as in long bones of extremities, especially distal femur (30%), proximal tibia (15%), and proximal humerus (15%).[4] Osteosarcoma is thought to arise from primitive mesenchymal bone-forming cells, and production of malignant osteoid is its histological hallmark. Most commonly, patients die of pulmonary metastatic disease. The current modality of treatment is NACT followed by surgical ablation.[5] [6] Review of literature shows very few studies that explored the prognostic significance of various clinical and histological attributes post-chemotherapy.

Traditional chemotherapy response scoring system is based on tumor necrosis that was devised by Huvos and Rosen et al in 1982.[2] They assessed the histological effect of preoperative chemotherapy on the resected primary tumor and devised a grading system to assess the extent of tumor destruction. The grades devised were as follows: little or no evidence of necrosis (grade I), 50–90% necrosis among histologically viable tumor areas (grade II), predominant necrosis of 90–99% with scattered sites of viable tumor (grade III), and no histological evidence of viable tumor with 100% necrosis (grade IV). The chemotherapy effect was determined after examining a minimum of 30 representative sections from the resected specimen. Their study concluded that grade III and IV response was significantly associated with increased disease-free survival and all cases of relapses showed a response of grade I or II.[2]

Raymond et al in their study also emphasized the prognostic significance of post-chemotherapy tumor necrosis along with other clinical and morphologic attributes such as age, sex, tumor size, tumor site, and subtype.[5] Similar results were seen in studies by Bacci et al, Harting et al, and Pakos et al.[9] [10] [11] Chui et al's study also highlighted the prognostic significance of clinical parameters such as tumor size, metastatic status, clinical stage, and tumor site.[1] Similar to these studies, the present study also revealed that age at presentation <40 years, male gender, tumor located in extremities, primary tumor size <8cm, absence of metastasis at presentation, and clinical stage I and II were significantly associated with increased overall survival. There was no significant difference in the overall survival for the two cases that had a history of pathological fracture (p = 0.46).

Picci et al's study particularly stressed on local recurrence in osteosarcoma in relation to histopathologic findings such as involvement of resected margins and development of a pseudocapsule around tumor.[12] A mature pseudocapsule around the tumor was not seen in cases who have not received chemotherapy or who had a poor response to it. In contrast, a well-formed, avascular, collagenous capsule was seen in patients with good response (> 90% necrosis) to chemotherapy and this was presumably related to growth arrest following therapy that resulted in sufficient time to develop a capsule. In the present study, six out of 47 cases (12.7% cases) showed tumor at surgical resection margins on microscopy of which three cases are deceased and two had recurrence. When compared with margin negative cases, there was no significant difference in the overall survival and prognosis (p = 0.192).

The present study revealed that among cases of osteosarcoma treated with chemotherapy, telangiectatic osteosarcomas had a favorable prognosis when compared with other subtypes of conventional osteosarcomas (p = 0.043). This was in line with findings of several others studies.[1] [13] [14] [15] [16] Bentzen et al stated that among conventional osteosarcomas, fibroblastic tumors had better prognosis compared with osteoblastic and chondroblastic subtypes.[17]

Although, most centers use tumor necrosis as the parameter for scoring chemotherapy response, it did not translate into survival benefit in many studies.[18] [19] [20] The possible explanation for this could be that, in tumors with necrosis <90%, major problem lies in distinguishing necrosis from other noncellular elements such as areas of hemorrhage, fibrosis, and acellular osteoid thereby leading to erroneous quantification of tumor necrosis and residual tumor. Acellular osteoid is one of the major secondary changes seen post-chemotherapy and was seen in 58% of our cases but was not associated with significant overall survival (p = 0.085). To address such issues, Chui et al devised an integrated prognostic index combining various clinical and morphologic attributes for effective stratification of patients post-chemotherapy.[1] This index enabled further stratification of cases into low, intermediate, and high-risk categories based on the final score. In our study, hazard ratios for Huvos and Rosen grade I and II as well as the moderate- and high-risk categories based on prognostic index were high indicating the poor survival outcome similar to their study. This new scoring system needs to be applied to larger datasets and further validation is needed.

As per Chui et al,[1] residual tumor is more reliable parameter over tumor necrosis for effective stratification of patients post-chemotherapy. When parameters of integrated prognostic index were analyzed separately, tumor size (p = 0.035), tumor location (p = 0.037), mitotic rate (0.032), and residual viable tumor (p = 0.001) retained significance as independent prognostic factors except for lymphovascular invasion (p = 0.42).

The present study demonstrated that post-NACT in osteosarcoma, >50% necrosis (p = 0.012), <10% residual disease (p = 0.001), and integrated prognostic index with low risk (p < 0.0001) were significantly associated with overall survival and of these, the integrated prognostic index had a slightly higher statistical significance. Several other studies also have emphasized on the percentage of residual or viable tumor post-chemotherapy as the significant prognostic parameter when compared with percentage of necrosis.[21] [22] [23] Mitoses ≥10/10 hpfs are associated with poor survival as reported by some others.[24] [25] Some studies have highlighted post-chemotherapy changes such as coagulative necrosis, fibrosis/hyalinization, vascular enrichment, edematous stroma, and bizarre giant cells with degenerative features.[26] [27] [28] We encountered bizarre tumor giant cells in 44% cases.


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Limitations of the Study

  1. The study is limited in terms of the sample size; however, the number of cases studied were comparatively higher than other similar studies.

  2. This study has short follow-up. The future research direction is to extend the study with longer follow-up, for an additional 10 to 15 years.


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Conclusion

Studies exploring the prognostic significance of various morphologic features in post-chemotherapy osteosarcoma are very few. Systematic statistical analysis in the present study revealed that age at presentation, anatomic site, primary tumor size, metastatic status, and clinical stage are parameters of prognostic significance. Necrosis (>50%), residual disease (<10%), and integrated prognostic index with low risk were significantly associated with overall survival and of these, the integrated prognostic index had a slightly higher statistical significance.


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Conflicts of Interest

The authors declare no conflicts of interest.

Acknowledgments

None

Authors' Contribution

Navatha Vangala and Shantveer G. Uppin were involved in concepts, design, definition of intellectual content, literature search, data acquisition, data analysis, statistical analysis, manuscript preparation, editing, and review. K. Nageshwara Rao, P. Chandrasekhar, and Sadashivudu Gundeti were involved in concepts, definition of intellectual content, literature search, data acquisition, data analysis, manuscript preparation, editing, and review. Navatha Vangala and Shantveer G. Uppin have provided guarantee to this manuscript.


  • References

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  • 2 Rosen G, Caparros B, Huvos AG. et al. Preoperative chemotherapy for osteogenic sarcoma: selection of postoperative adjuvant chemotherapy based on the response of the primary tumor to preoperative chemotherapy. Cancer 1982; 49 (06) 1221-1230
  • 3 Ottaviani G, Jaffe N. The epidemiology of osteosarcoma. Cancer Treat Res 2009; 152: 3-13
  • 4 Savage SA, Mirabello L. Using epidemiology and genomics to understand osteosarcoma etiology. Sarcoma 2011; 2011: 548151
  • 5 Raymond AK, Chawla SP, Carrasco CH. et al. Osteosarcoma chemotherapy effect: a prognostic factor. Semin Diagn Pathol 1987; 4 (03) 212-236
  • 6 Kim SY, Helman LJ. Strategies to explore new approaches in the investigation and treatment of osteosarcoma. Cancer Treat Res 2009; 152: 517-528
  • 7 Bacci G, Picci P, Ferrari S. et al. Primary chemotherapy and delayed surgery for nonmetastatic osteosarcoma of the extremities. Results in 164 patients preoperatively treated with high doses of methotrexate followed by cisplatin and doxorubicin. Cancer 1993; 72 (11) 3227-3238
  • 8 Rosen G, Huvos AG, Mosende C. et al. Chemotherapy and thoracotomy for metastatic osteogenic sarcoma. A model for adjuvant chemotherapy and the rationale for the timing of thoracic surgery. Cancer 1978; 41: 841-849
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Address for correspondence

Shantveer G. Uppin, MD (Pathology)
Department of Pathology, Nizams Institute of Medical Sciences
Hyderabad, Telangana 500082
India   

Publication History

Article published online:
11 December 2021

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  • References

  • 1 Chui MH, Kandel RA, Wong M. et al. Histopathologic features of prognostic significance in high-grade osteosarcoma. Arch Pathol Lab Med 2016; 140 (11) 1231-1242
  • 2 Rosen G, Caparros B, Huvos AG. et al. Preoperative chemotherapy for osteogenic sarcoma: selection of postoperative adjuvant chemotherapy based on the response of the primary tumor to preoperative chemotherapy. Cancer 1982; 49 (06) 1221-1230
  • 3 Ottaviani G, Jaffe N. The epidemiology of osteosarcoma. Cancer Treat Res 2009; 152: 3-13
  • 4 Savage SA, Mirabello L. Using epidemiology and genomics to understand osteosarcoma etiology. Sarcoma 2011; 2011: 548151
  • 5 Raymond AK, Chawla SP, Carrasco CH. et al. Osteosarcoma chemotherapy effect: a prognostic factor. Semin Diagn Pathol 1987; 4 (03) 212-236
  • 6 Kim SY, Helman LJ. Strategies to explore new approaches in the investigation and treatment of osteosarcoma. Cancer Treat Res 2009; 152: 517-528
  • 7 Bacci G, Picci P, Ferrari S. et al. Primary chemotherapy and delayed surgery for nonmetastatic osteosarcoma of the extremities. Results in 164 patients preoperatively treated with high doses of methotrexate followed by cisplatin and doxorubicin. Cancer 1993; 72 (11) 3227-3238
  • 8 Rosen G, Huvos AG, Mosende C. et al. Chemotherapy and thoracotomy for metastatic osteogenic sarcoma. A model for adjuvant chemotherapy and the rationale for the timing of thoracic surgery. Cancer 1978; 41: 841-849
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Fig. 1 Pictorial representation of tumor site distribution of osteosarcoma.
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Fig. 2 Post-chemotherapy changes in osteosarcoma. (A) Necrosis, (B) acellular osteoid, (C) fibrosis, (D) lymphovascular invasion, (E) atypical mitosis (arrows), and (F) residual disease with skin involvement (x 400, hematoxylin and eosin).