Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

MRI Evaluation of Resection Margins in Bone Tumour Surgery

MRI Evaluation of Resection Margins in Bone Tumour Surgery MRI Evaluation of Resection Margins in Bone Tumour Surgery div.banner_title_bkg div.trangle { border-color: #000000 transparent transparent transparent; opacity:0.63; /*new styles start*/ -ms-filter:"progid:DXImageTransform.Microsoft.Alpha(Opacity=63)" ;filter: alpha(opacity=63); /*new styles end*/ } div.banner_title_bkg_if div.trangle { border-color: transparent transparent #000000 transparent ; opacity:0.63; /*new styles start*/ -ms-filter:"progid:DXImageTransform.Microsoft.Alpha(Opacity=63)" ;filter: alpha(opacity=63); /*new styles end*/ } div.banner_title_bkg div.trangle { width: 102px; } #banner { background-image: url('http://images.hindawi.com/journals/sarcoma/sarcoma.banner.jpg'); background-position: 50% 0;} Hindawi Publishing Corporation Home Journals About Us Sarcoma About this Journal Submit a Manuscript Table of Contents Journal Menu About this Journal · Abstracting and Indexing · Aims and Scope · Article Processing Charges · Articles in Press · Author Guidelines · Bibliographic Information · Citations to this Journal · Contact Information · Editorial Board · Editorial Workflow · Free eTOC Alerts · Publication Ethics · Reviewers Acknowledgment · Submit a Manuscript · Subscription Information · Table of Contents Open Special Issues · Published Special Issues · Special Issue Guidelines Abstract Full-Text PDF Full-Text HTML Full-Text ePUB Linked References How to Cite this Article Sarcoma Volume 2014 (2014), Article ID 967848, 5 pages http://dx.doi.org/10.1155/2014/967848 Research Article MRI Evaluation of Resection Margins in Bone Tumour Surgery Simon Vandergugten , 1,2 Sidi Yaya Traore , 1,2 Olivier Cartiaux , 1 Frédéric Lecouvet , 3 Christine Galant , 4 and Pierre-Louis Docquier 1,2 1 Computer Assisted and Robotic Surgery (CARS), Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, avenue Mounier 53, 1200 Brussels, Belgium 2 Service de Chirurgie Orthopédique et Traumatologique, Cliniques Universitaires Saint-Luc, avenue Hippocrate 10, 1200 Brussels, Belgium 3 Département d'Imagerie Médicale, Cliniques Universitaires Saint-Luc, 10 avenue Hippocrate, 1200 Brussels, Belgium 4 Département de Pathologie, Cliniques Universitaires Saint-Luc, 10 avenue Hippocrate, 1200 Brussels, Belgium Received 2 January 2014; Revised 24 April 2014; Accepted 12 May 2014; Published 26 May 2014 Academic Editor: R. Lor Randall Copyright © 2014 Simon Vandergugten et al. This is an open access article distributed under the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract In 12 patients operated on for bone sarcoma resection, a postoperative magnetic resonance imaging of the resection specimens was obtained in order to assess the surgical margins. Margins were classified according to MRI in R0, R1, and R2 by three independent observers: a radiologist and two orthopaedic surgeons. Final margin evaluation (R0, R1, and R2) was assessed by a confirmed pathologist. Agreement for margin evaluation between the pathologist and the radiologist was perfect ( ). Agreement between the pathologist and an experienced orthopaedic surgeon was very good while it was fair between the pathologist and a junior orthopaedic surgeon. MRI should be considered as a tool to give quick information about the adequacy of margins and to help the pathologist to focus on doubtful areas and to spare time in specimen analysis. But it may not replace the pathological evaluation that gives additional information about tumor necrosis. This study shows that MRI extemporaneous analysis of a resection specimen may be efficient in bone tumor oncologic surgery, if made by an experienced radiologist with perfect agreement with the pathologist. 1. Introduction Complete surgical resection remains the gold standard management for bone and soft tissue sarcomas [ 1 , 2 ]. During the procedure, the surgeon removes the tumour en bloc , with a continuous surrounding layer of healthy tissue as the “safe” margin. As most of these tumours are very close to major nerves or vessels, a meticulous preoperative planning is essential in order to spare these structures. Surgeons currently rely on tumour delineation by magnetic resonance imaging (MRI) to plan the surgery. Postoperatively, the pathologist assesses the achieved surgical margins through rigorous microscopic evaluation [ 3 ]. The goal of surgery is to leave a margin of at least 1 mm of normal tissue around the tumor (R0 resection). Whenever there is some residual tumorous tissue (microscopically R1 or macroscopically R2), revision surgery or postoperative radiotherapy is generally recommended. For some authors, the local and general prognosis are clearly linked to the capacity of the surgeon to perform a R0 resection [ 4 , 5 ], while for other limb salvage surgery has a higher local recurrence rate but equivalent overall survival relative to amputation. Pathological examination of bone sarcomas is technically very difficult and is time consuming in case of large sarcomas. The purpose of this study was to compare margin evaluation by the pathologist and by MRI to evaluate efficiency and accuracy of margin MRI evaluation. According to the literature review, this concept has not been reported to date in either experimental or clinical settings. 2. Materials and Methods 2.1. Patient Series Specimens were obtained from 12 patients, with a median age of 16.5 years (9 to 65 years), operated on for bone sarcoma resection between January 2010 and November 2012 (Table 1 ). Inclusion criteria were primary bony sarcoma accessible to resection surgery and reconstruction. Exclusion criteria were bone metastases or primary bony sarcoma nonaccessible to the surgery and treated with radiotherapy alone. There were 9 osteosarcomas, 1 chondrosarcoma, 1 Ewing sarcoma, and 1 bone leiomyosarcoma. One of the osteosarcomas was a local recurrence from a periosteal osteosarcoma after cortical resection. The sarcoma was localized in the pelvis for 4 patients (1 iliac bone and 3 sacroiliac joint), in the femur for 3 cases, in the tibia for 4 cases, and in the humerus for 1 case. One patient was already metastatic at the time of the surgery. Surgery was not curative but its indication was to allow the patient to walk. The time between surgery and last follow-up was years (mean ± SD). Table 1: Patient’s data. 2.2. Magnetic Resonance Imaging Evaluation Preoperative MRI of the bone tumor had been obtained in all cases in the month prior to surgery, on average 11 days (1–28 days) before surgery. Axial T1- and T2-weighted images, coronal proton density weighted images with fat saturation, and axial and sagittal T1-weighted images with gadolinium enhancement were obtained. A postoperative axial 3D-T1-weighted and 3D-T2-weighted MRI of the specimen were performed after resection of the bone tumor. The specimens were oriented according to the long axis of the bone (femur, tibia). For pelvic specimens, the specimen was oriented with scout view to obtain the same slicing compared to the preoperative imaging. The MRI acquisition parameters used for the specimens were specified as follows: reconstruction matrix , section thickness 0.5 mm, and spacing between slices 0.5 mm. The specimens’ sequences were saved in DICOM format prior to analysis with the picture archiving and communication system (PACS, Carestream Health, NY, USA). MRI of resected specimens was made postoperatively in the hour following the specimen resection in all but one patient due to MRI unavailability. Specimen MRI was blindly analyzed and classified by three independent observers according to the standardized classification, created by the Union for International Cancer Control (UICC) [ 6 ]. They had access to the preresection imaging to help analyzing the specimen MRI. The three observers were an experienced radiologist used to tumor imaging, an experienced orthopaedic surgeon used to tumor surgery, and an unexperienced junior orthopaedic surgeon without experience with bone tumor surgery. UICC classification distinguishes R0 as in sano resection with adequate safe margins (Figure 1 ), R1 as possible microscopic residuals (margin between 0 and 1 mm), and R2 as macroscopic residual disease (Figure 2 ) [ 6 ]. Figure 1: 11-year-old patient (n. 5) with osteosarcoma of the proximal tibia. A resection of the tumor was performed with epiphysis resection. The margin was classified R0 by pathologist, radiologist, and senior orthopaedic surgeon. On the left: preoperative MRI. On the right: postoperative MRI of the resected specimen. Figure 2: 14-year-old patient (n. 7) with osteosarcoma of the distal femur with multiple bone metastases. The tumour was very voluminous and painful and the patient was not able to walk. The goal of the surgery was to allow the child to walk but was not curative. The resection margins were classified R2 by the pathologist and all the observers. On the left: preoperative MRI. On the right: postoperative MRI of the resected specimen. 2.3. Pathological Evaluation The method of determining surgical margins is now fairly standardized [ 3 , 7 ]. The surface of the freshly excised tumour was inked and the specimen was fixed with formalin 4%. Macroscopic serial sections were performed. A first evaluation of the tumour margin was noticed macroscopically and tissues were taken for histology with a special attention for the foci of the closest’s margins. These tissue blocs were embedded in paraffin and cut at 5 microns thick before staining with Hematoxylin Eosin. The pathologist analysed then histologically the specimen and measured the distance between the tumour edge and the closest inked surface microscopically. The distance was given in mm. The pathologist was blinded about the result of MRI classification and categorized the margins according to the standardized classification, created by the Union for International Cancer Control (UICC) [ 6 ]. The pathologist was not informed of the MRI evaluation results. 2.4. Statistical Analysis The margin classification by the pathologist was considered as the golden standard and was compared with the margin classification obtained by MRI (by the three independent observers) (Table 2 ). The data were analysed with SPSS software 20.0 (IBM, USA). Kappa method was used to evaluate the agreement between the observers (interobserver). Strength of agreement was evaluated by the kappa value: agreement is perfect if , very good with between 0.8 and 1, good with between 0.6 and 0.8, moderate with between 0.4 and 0.6, fair with between 0.2 and 0.4, and poor with less than 0.2 [ 8 ]. Table 2: Comparison of pathological evaluation and MRI evaluation. 3. Results Results of the margin classification by the pathologist and by imaging are listed in Table 2 . Three patients had R2 resection margin at the pathological evaluation. Adjuvant radiotherapy was performed in these patients. Two of them were deceased at the latest follow-up while the third had a good response to chemotherapy and is still alive without evidence of disease. Agreement for margin evaluation between the pathologist and the radiologist was perfect . Agreement between pathologist and experienced orthopaedic surgeon was very good while it was fair between pathologist and junior orthopaedic surgeon (Table 3 ). Table 3: Agreement between pathological evaluation and MRI evaluation. Agreement between the radiologist and the experienced orthopaedic surgeon was very good while it was fair between the unexperienced surgeon and both the experienced surgeon and the radiologist (Table 4 ). Table 4: Interobserver agreement observers with MRI evaluation. 4. Discussion The goal of this study was to explore the feasibility of imaging resected specimens to give information about the resection margins, to help the fastidious pathological analysis of the specimen. The adjuvant treatment of bone sarcoma is depending on two pieces of information from the pathological analysis of the resected specimen: adequacy of margins and percentage of tumor necrosis. MRI may not give information about the percentage of tumor necrosis; however, MRI image quality was shown to be high enough to give useful information about the resection margins. MRI may not replace pathological analysis but may give information to the pathologist who may focus his analysis on some doubtful areas in case of voluminous specimen (Figure 3 ). Figure 3: 43-year-old patient with undifferentiated osteosarcoma of the sacroiliac joint. Resection was performed with resection of iliac wing and sacral ala. Top-left: preoperative T2-weighted MRI of the tumor. Top-middle: postoperative T2-weighted MRI of the resected specimen. Top-right: segmentation of the tumour has been made on MRI in red color and of the whole specimen in green color for soft tissues and in grey color for bone tissue. Bottom-left: pathological picture of the margin in the encircled area. Tumoral cells are present at the margin, what was already visible on MRI. Bottom-right: a good margin is present at that location. MRI evaluation of the margin in a freshly resected tumoral specimen seems to be efficient if performed by an experienced radiologist (used to analyze oncologic MRI) or an experienced orthopaedic surgeon (used to oncologic sarcoma surgery). There was a perfect agreement between the pathologist and radiologist and a very good agreement between the pathologist and experienced orthopaedic surgeon. On the contrary, MRI interpretation by the inexperienced surgeon is not recommended, as the agreement is fair. MRI could be more rapid than histopathology to give a R classification as MRI could be obtained quickly after tumor resection (it takes 45 minutes) and final pathological evaluation is generally not obtained before 1 or 2 weeks in case of bone sarcomas. Nevertheless, MRI may not replace pathologic evaluation of the specimen, as the pathologist will give the final evaluation of the margins and information about the percentage of tumor necrosis. A theoretical benefit of this procedure could be a direct peroperative margin evaluation by rapid MRI acquisition of the freshly resected specimen. If the MRI is available and if the surgical reconstruction procedure following resection takes several hours, a rapid assessment of the resection margin could be obtained before the end of the surgical procedure, allowing the surgeon to do recut in the region where the MRI assesses an unsafe margin. It would be even possible for the radiologist to come to the operating theatre to show and explain his analysis of the MRI to the surgeon. However, this is not always possible in clinical practice. The residual tumour classification or R classification may be used after surgical treatment alone, after radiotherapy alone, after chemotherapy alone, or after multimodal therapy [ 6 ]. It was described for histologic examination of the margin but after nonsurgical treatment; the presence or absence of residual tumor is determined using methods such as radiologic imaging and biopsy [ 6 ]. The R0 (“no residual rumor”) category applies only to cases in which residual tumor cannot be detected by conventional diagnostic methods. A more exact definition should be “no detectable residual tumor.” The R1 category is reserved exclusively for cases in which residual tumor is found by histologic examination. This category may apply to biopsy sampling of the regional tissue at the site of resection or of a distant site at the time of surgery. It also applies to microscopic examination of the resection margins of the surgical resection specimen by the pathologist. R2 applies to cases with macroscopically visible residual tumor that is detected either clinically or pathologically. Despite the fact that R1 has been described for histologic examination, an attempt to use the R classification with MRI has been published [ 9 ]. This study has some limitations. All the histologic classification analyses were performed by one observer and one time. Only twelve patients were included in the study. Other experimental studies on animals should show quantitatively the efficiency of margin evaluation by MRI. 5. Conclusion MRI evaluation may not replace the pathological evaluation as it remains the gold standard and gives information about tumor necrosis. Nevertheless, it should be considered as a tool to give quick information about the adequacy of margins and a tool to help the pathologist to focus on doubtful areas. This could help the pathologist to spare time in specimen analysis. This study shows that extemporaneous analysis of a resection specimen may be efficient in bone tumor oncologic surgery, if made by an experienced radiologist with perfect agreement with the pathologist. Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper. References V. O. Lewis, “What's new in musculoskeletal oncology,” Journal of Bone and Joint Surgery A , vol. 91, no. 6, pp. 1546–1556, 2009. View at Publisher · View at Google Scholar · View at Scopus P. Docquier, L. Paul, O. Cartiaux, C. Delloye, and X. Banse, “Computer-assisted resection and reconstruction of pelvic tumor sarcoma,” Sarcoma , vol. 2010, Article ID 125162, 8 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus B. P. Rubin, C. D. M. Fletcher, C. Inwards et al., “Protocol for the examination of specimens from patients with soft tissue tumors of intermediate malignant potential, malignant soft tissue tumors, and benign/locally aggressive and malignant bone tumors,” Archives of Pathology and Laboratory Medicine , vol. 130, no. 11, pp. 1616–1629, 2006. View at Scopus E. Stoeckle, H. Gardet, J.-M. Coindre et al., “Prospective evaluation of quality of surgery in soft tissue sarcoma,” European Journal of Surgical Oncology , vol. 32, no. 10, pp. 1242–1248, 2006. View at Publisher · View at Google Scholar · View at Scopus G. K. Zagars, M. T. Ballo, P. W. T. Pisters, R. E. Pollock, S. R. Patel, and R. S. Benjamin, “Surgical margins and reresection in the management of patients with soft tissue sarcoma using conservative surgery and radiation therapy,” Cancer , vol. 97, no. 10, pp. 2544–2553, 2003. View at Publisher · View at Google Scholar · View at Scopus C. Wittekind, C. C. Compton, F. L. Greene, and L. H. Sobin, “TNM residual tumor classification revisited,” Cancer , vol. 94, no. 9, pp. 2511–2516, 2002. View at Publisher · View at Google Scholar · View at Scopus F. W. Abdul-Karim, T. W. Bauer, S. E. Kilpatrick, K. A. Raymond, and G. P. Siegal, “Recommendations for the reporting of bone tumors,” Human Pathology , vol. 35, no. 10, pp. 1173–1178, 2004. View at Publisher · View at Google Scholar · View at Scopus D. G. Altman, Practical Statistics for Medical Research , Chapman and Hall, London, UK, 1991. L. Bellanova, T. Schubert, O. Cartiaux et al., “MRI-based assessment of safe margins in tumor surgery,” Sarcoma , vol. 2014, Article ID 686790, 5 pages, 2014. View at Publisher · View at Google Scholar var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-8578054-2']); _gaq.push(['_trackPageview']); (function () { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sarcoma Hindawi Publishing Corporation

MRI Evaluation of Resection Margins in Bone Tumour Surgery

Download PDF
6 pages

Loading next page...
 
/lp/hindawi-publishing-corporation/mri-evaluation-of-resection-margins-in-bone-tumour-surgery-0Fof8Sds09

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Hindawi Publishing Corporation
Copyright
Copyright © 2014 Simon Vandergugten et al.
ISSN
1357-714X
eISSN
1369-1643
Publisher site
See Article on Publisher Site

Abstract

MRI Evaluation of Resection Margins in Bone Tumour Surgery div.banner_title_bkg div.trangle { border-color: #000000 transparent transparent transparent; opacity:0.63; /*new styles start*/ -ms-filter:"progid:DXImageTransform.Microsoft.Alpha(Opacity=63)" ;filter: alpha(opacity=63); /*new styles end*/ } div.banner_title_bkg_if div.trangle { border-color: transparent transparent #000000 transparent ; opacity:0.63; /*new styles start*/ -ms-filter:"progid:DXImageTransform.Microsoft.Alpha(Opacity=63)" ;filter: alpha(opacity=63); /*new styles end*/ } div.banner_title_bkg div.trangle { width: 102px; } #banner { background-image: url('http://images.hindawi.com/journals/sarcoma/sarcoma.banner.jpg'); background-position: 50% 0;} Hindawi Publishing Corporation Home Journals About Us Sarcoma About this Journal Submit a Manuscript Table of Contents Journal Menu About this Journal · Abstracting and Indexing · Aims and Scope · Article Processing Charges · Articles in Press · Author Guidelines · Bibliographic Information · Citations to this Journal · Contact Information · Editorial Board · Editorial Workflow · Free eTOC Alerts · Publication Ethics · Reviewers Acknowledgment · Submit a Manuscript · Subscription Information · Table of Contents Open Special Issues · Published Special Issues · Special Issue Guidelines Abstract Full-Text PDF Full-Text HTML Full-Text ePUB Linked References How to Cite this Article Sarcoma Volume 2014 (2014), Article ID 967848, 5 pages http://dx.doi.org/10.1155/2014/967848 Research Article MRI Evaluation of Resection Margins in Bone Tumour Surgery Simon Vandergugten , 1,2 Sidi Yaya Traore , 1,2 Olivier Cartiaux , 1 Frédéric Lecouvet , 3 Christine Galant , 4 and Pierre-Louis Docquier 1,2 1 Computer Assisted and Robotic Surgery (CARS), Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, avenue Mounier 53, 1200 Brussels, Belgium 2 Service de Chirurgie Orthopédique et Traumatologique, Cliniques Universitaires Saint-Luc, avenue Hippocrate 10, 1200 Brussels, Belgium 3 Département d'Imagerie Médicale, Cliniques Universitaires Saint-Luc, 10 avenue Hippocrate, 1200 Brussels, Belgium 4 Département de Pathologie, Cliniques Universitaires Saint-Luc, 10 avenue Hippocrate, 1200 Brussels, Belgium Received 2 January 2014; Revised 24 April 2014; Accepted 12 May 2014; Published 26 May 2014 Academic Editor: R. Lor Randall Copyright © 2014 Simon Vandergugten et al. This is an open access article distributed under the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract In 12 patients operated on for bone sarcoma resection, a postoperative magnetic resonance imaging of the resection specimens was obtained in order to assess the surgical margins. Margins were classified according to MRI in R0, R1, and R2 by three independent observers: a radiologist and two orthopaedic surgeons. Final margin evaluation (R0, R1, and R2) was assessed by a confirmed pathologist. Agreement for margin evaluation between the pathologist and the radiologist was perfect ( ). Agreement between the pathologist and an experienced orthopaedic surgeon was very good while it was fair between the pathologist and a junior orthopaedic surgeon. MRI should be considered as a tool to give quick information about the adequacy of margins and to help the pathologist to focus on doubtful areas and to spare time in specimen analysis. But it may not replace the pathological evaluation that gives additional information about tumor necrosis. This study shows that MRI extemporaneous analysis of a resection specimen may be efficient in bone tumor oncologic surgery, if made by an experienced radiologist with perfect agreement with the pathologist. 1. Introduction Complete surgical resection remains the gold standard management for bone and soft tissue sarcomas [ 1 , 2 ]. During the procedure, the surgeon removes the tumour en bloc , with a continuous surrounding layer of healthy tissue as the “safe” margin. As most of these tumours are very close to major nerves or vessels, a meticulous preoperative planning is essential in order to spare these structures. Surgeons currently rely on tumour delineation by magnetic resonance imaging (MRI) to plan the surgery. Postoperatively, the pathologist assesses the achieved surgical margins through rigorous microscopic evaluation [ 3 ]. The goal of surgery is to leave a margin of at least 1 mm of normal tissue around the tumor (R0 resection). Whenever there is some residual tumorous tissue (microscopically R1 or macroscopically R2), revision surgery or postoperative radiotherapy is generally recommended. For some authors, the local and general prognosis are clearly linked to the capacity of the surgeon to perform a R0 resection [ 4 , 5 ], while for other limb salvage surgery has a higher local recurrence rate but equivalent overall survival relative to amputation. Pathological examination of bone sarcomas is technically very difficult and is time consuming in case of large sarcomas. The purpose of this study was to compare margin evaluation by the pathologist and by MRI to evaluate efficiency and accuracy of margin MRI evaluation. According to the literature review, this concept has not been reported to date in either experimental or clinical settings. 2. Materials and Methods 2.1. Patient Series Specimens were obtained from 12 patients, with a median age of 16.5 years (9 to 65 years), operated on for bone sarcoma resection between January 2010 and November 2012 (Table 1 ). Inclusion criteria were primary bony sarcoma accessible to resection surgery and reconstruction. Exclusion criteria were bone metastases or primary bony sarcoma nonaccessible to the surgery and treated with radiotherapy alone. There were 9 osteosarcomas, 1 chondrosarcoma, 1 Ewing sarcoma, and 1 bone leiomyosarcoma. One of the osteosarcomas was a local recurrence from a periosteal osteosarcoma after cortical resection. The sarcoma was localized in the pelvis for 4 patients (1 iliac bone and 3 sacroiliac joint), in the femur for 3 cases, in the tibia for 4 cases, and in the humerus for 1 case. One patient was already metastatic at the time of the surgery. Surgery was not curative but its indication was to allow the patient to walk. The time between surgery and last follow-up was years (mean ± SD). Table 1: Patient’s data. 2.2. Magnetic Resonance Imaging Evaluation Preoperative MRI of the bone tumor had been obtained in all cases in the month prior to surgery, on average 11 days (1–28 days) before surgery. Axial T1- and T2-weighted images, coronal proton density weighted images with fat saturation, and axial and sagittal T1-weighted images with gadolinium enhancement were obtained. A postoperative axial 3D-T1-weighted and 3D-T2-weighted MRI of the specimen were performed after resection of the bone tumor. The specimens were oriented according to the long axis of the bone (femur, tibia). For pelvic specimens, the specimen was oriented with scout view to obtain the same slicing compared to the preoperative imaging. The MRI acquisition parameters used for the specimens were specified as follows: reconstruction matrix , section thickness 0.5 mm, and spacing between slices 0.5 mm. The specimens’ sequences were saved in DICOM format prior to analysis with the picture archiving and communication system (PACS, Carestream Health, NY, USA). MRI of resected specimens was made postoperatively in the hour following the specimen resection in all but one patient due to MRI unavailability. Specimen MRI was blindly analyzed and classified by three independent observers according to the standardized classification, created by the Union for International Cancer Control (UICC) [ 6 ]. They had access to the preresection imaging to help analyzing the specimen MRI. The three observers were an experienced radiologist used to tumor imaging, an experienced orthopaedic surgeon used to tumor surgery, and an unexperienced junior orthopaedic surgeon without experience with bone tumor surgery. UICC classification distinguishes R0 as in sano resection with adequate safe margins (Figure 1 ), R1 as possible microscopic residuals (margin between 0 and 1 mm), and R2 as macroscopic residual disease (Figure 2 ) [ 6 ]. Figure 1: 11-year-old patient (n. 5) with osteosarcoma of the proximal tibia. A resection of the tumor was performed with epiphysis resection. The margin was classified R0 by pathologist, radiologist, and senior orthopaedic surgeon. On the left: preoperative MRI. On the right: postoperative MRI of the resected specimen. Figure 2: 14-year-old patient (n. 7) with osteosarcoma of the distal femur with multiple bone metastases. The tumour was very voluminous and painful and the patient was not able to walk. The goal of the surgery was to allow the child to walk but was not curative. The resection margins were classified R2 by the pathologist and all the observers. On the left: preoperative MRI. On the right: postoperative MRI of the resected specimen. 2.3. Pathological Evaluation The method of determining surgical margins is now fairly standardized [ 3 , 7 ]. The surface of the freshly excised tumour was inked and the specimen was fixed with formalin 4%. Macroscopic serial sections were performed. A first evaluation of the tumour margin was noticed macroscopically and tissues were taken for histology with a special attention for the foci of the closest’s margins. These tissue blocs were embedded in paraffin and cut at 5 microns thick before staining with Hematoxylin Eosin. The pathologist analysed then histologically the specimen and measured the distance between the tumour edge and the closest inked surface microscopically. The distance was given in mm. The pathologist was blinded about the result of MRI classification and categorized the margins according to the standardized classification, created by the Union for International Cancer Control (UICC) [ 6 ]. The pathologist was not informed of the MRI evaluation results. 2.4. Statistical Analysis The margin classification by the pathologist was considered as the golden standard and was compared with the margin classification obtained by MRI (by the three independent observers) (Table 2 ). The data were analysed with SPSS software 20.0 (IBM, USA). Kappa method was used to evaluate the agreement between the observers (interobserver). Strength of agreement was evaluated by the kappa value: agreement is perfect if , very good with between 0.8 and 1, good with between 0.6 and 0.8, moderate with between 0.4 and 0.6, fair with between 0.2 and 0.4, and poor with less than 0.2 [ 8 ]. Table 2: Comparison of pathological evaluation and MRI evaluation. 3. Results Results of the margin classification by the pathologist and by imaging are listed in Table 2 . Three patients had R2 resection margin at the pathological evaluation. Adjuvant radiotherapy was performed in these patients. Two of them were deceased at the latest follow-up while the third had a good response to chemotherapy and is still alive without evidence of disease. Agreement for margin evaluation between the pathologist and the radiologist was perfect . Agreement between pathologist and experienced orthopaedic surgeon was very good while it was fair between pathologist and junior orthopaedic surgeon (Table 3 ). Table 3: Agreement between pathological evaluation and MRI evaluation. Agreement between the radiologist and the experienced orthopaedic surgeon was very good while it was fair between the unexperienced surgeon and both the experienced surgeon and the radiologist (Table 4 ). Table 4: Interobserver agreement observers with MRI evaluation. 4. Discussion The goal of this study was to explore the feasibility of imaging resected specimens to give information about the resection margins, to help the fastidious pathological analysis of the specimen. The adjuvant treatment of bone sarcoma is depending on two pieces of information from the pathological analysis of the resected specimen: adequacy of margins and percentage of tumor necrosis. MRI may not give information about the percentage of tumor necrosis; however, MRI image quality was shown to be high enough to give useful information about the resection margins. MRI may not replace pathological analysis but may give information to the pathologist who may focus his analysis on some doubtful areas in case of voluminous specimen (Figure 3 ). Figure 3: 43-year-old patient with undifferentiated osteosarcoma of the sacroiliac joint. Resection was performed with resection of iliac wing and sacral ala. Top-left: preoperative T2-weighted MRI of the tumor. Top-middle: postoperative T2-weighted MRI of the resected specimen. Top-right: segmentation of the tumour has been made on MRI in red color and of the whole specimen in green color for soft tissues and in grey color for bone tissue. Bottom-left: pathological picture of the margin in the encircled area. Tumoral cells are present at the margin, what was already visible on MRI. Bottom-right: a good margin is present at that location. MRI evaluation of the margin in a freshly resected tumoral specimen seems to be efficient if performed by an experienced radiologist (used to analyze oncologic MRI) or an experienced orthopaedic surgeon (used to oncologic sarcoma surgery). There was a perfect agreement between the pathologist and radiologist and a very good agreement between the pathologist and experienced orthopaedic surgeon. On the contrary, MRI interpretation by the inexperienced surgeon is not recommended, as the agreement is fair. MRI could be more rapid than histopathology to give a R classification as MRI could be obtained quickly after tumor resection (it takes 45 minutes) and final pathological evaluation is generally not obtained before 1 or 2 weeks in case of bone sarcomas. Nevertheless, MRI may not replace pathologic evaluation of the specimen, as the pathologist will give the final evaluation of the margins and information about the percentage of tumor necrosis. A theoretical benefit of this procedure could be a direct peroperative margin evaluation by rapid MRI acquisition of the freshly resected specimen. If the MRI is available and if the surgical reconstruction procedure following resection takes several hours, a rapid assessment of the resection margin could be obtained before the end of the surgical procedure, allowing the surgeon to do recut in the region where the MRI assesses an unsafe margin. It would be even possible for the radiologist to come to the operating theatre to show and explain his analysis of the MRI to the surgeon. However, this is not always possible in clinical practice. The residual tumour classification or R classification may be used after surgical treatment alone, after radiotherapy alone, after chemotherapy alone, or after multimodal therapy [ 6 ]. It was described for histologic examination of the margin but after nonsurgical treatment; the presence or absence of residual tumor is determined using methods such as radiologic imaging and biopsy [ 6 ]. The R0 (“no residual rumor”) category applies only to cases in which residual tumor cannot be detected by conventional diagnostic methods. A more exact definition should be “no detectable residual tumor.” The R1 category is reserved exclusively for cases in which residual tumor is found by histologic examination. This category may apply to biopsy sampling of the regional tissue at the site of resection or of a distant site at the time of surgery. It also applies to microscopic examination of the resection margins of the surgical resection specimen by the pathologist. R2 applies to cases with macroscopically visible residual tumor that is detected either clinically or pathologically. Despite the fact that R1 has been described for histologic examination, an attempt to use the R classification with MRI has been published [ 9 ]. This study has some limitations. All the histologic classification analyses were performed by one observer and one time. Only twelve patients were included in the study. Other experimental studies on animals should show quantitatively the efficiency of margin evaluation by MRI. 5. Conclusion MRI evaluation may not replace the pathological evaluation as it remains the gold standard and gives information about tumor necrosis. Nevertheless, it should be considered as a tool to give quick information about the adequacy of margins and a tool to help the pathologist to focus on doubtful areas. This could help the pathologist to spare time in specimen analysis. This study shows that extemporaneous analysis of a resection specimen may be efficient in bone tumor oncologic surgery, if made by an experienced radiologist with perfect agreement with the pathologist. Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper. References V. O. Lewis, “What's new in musculoskeletal oncology,” Journal of Bone and Joint Surgery A , vol. 91, no. 6, pp. 1546–1556, 2009. View at Publisher · View at Google Scholar · View at Scopus P. Docquier, L. Paul, O. Cartiaux, C. Delloye, and X. Banse, “Computer-assisted resection and reconstruction of pelvic tumor sarcoma,” Sarcoma , vol. 2010, Article ID 125162, 8 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus B. P. Rubin, C. D. M. Fletcher, C. Inwards et al., “Protocol for the examination of specimens from patients with soft tissue tumors of intermediate malignant potential, malignant soft tissue tumors, and benign/locally aggressive and malignant bone tumors,” Archives of Pathology and Laboratory Medicine , vol. 130, no. 11, pp. 1616–1629, 2006. View at Scopus E. Stoeckle, H. Gardet, J.-M. Coindre et al., “Prospective evaluation of quality of surgery in soft tissue sarcoma,” European Journal of Surgical Oncology , vol. 32, no. 10, pp. 1242–1248, 2006. View at Publisher · View at Google Scholar · View at Scopus G. K. Zagars, M. T. Ballo, P. W. T. Pisters, R. E. Pollock, S. R. Patel, and R. S. Benjamin, “Surgical margins and reresection in the management of patients with soft tissue sarcoma using conservative surgery and radiation therapy,” Cancer , vol. 97, no. 10, pp. 2544–2553, 2003. View at Publisher · View at Google Scholar · View at Scopus C. Wittekind, C. C. Compton, F. L. Greene, and L. H. Sobin, “TNM residual tumor classification revisited,” Cancer , vol. 94, no. 9, pp. 2511–2516, 2002. View at Publisher · View at Google Scholar · View at Scopus F. W. Abdul-Karim, T. W. Bauer, S. E. Kilpatrick, K. A. Raymond, and G. P. Siegal, “Recommendations for the reporting of bone tumors,” Human Pathology , vol. 35, no. 10, pp. 1173–1178, 2004. View at Publisher · View at Google Scholar · View at Scopus D. G. Altman, Practical Statistics for Medical Research , Chapman and Hall, London, UK, 1991. L. Bellanova, T. Schubert, O. Cartiaux et al., “MRI-based assessment of safe margins in tumor surgery,” Sarcoma , vol. 2014, Article ID 686790, 5 pages, 2014. View at Publisher · View at Google Scholar var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-8578054-2']); _gaq.push(['_trackPageview']); (function () { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })();

Journal

Sarcoma – Hindawi Publishing Corporation

Published: May 26, 2014

There are no references for this article.