X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones.

BACKGROUND: Atypical cartilaginous tumour (ACT) and high-grade chondrosarcoma (CS) of long bones are respectively managed with active surveillance or curettage and wide resection. Our aim was to determine diagnostic performance of X-rays radiomics-based machine learning for classification of ACT and high-grade CS of long bones. METHODS: This retrospective, IRB-approved study included 150 patients with surgically treated and histology-proven lesions at two tertiary bone sarcoma centres. At centre 1, the dataset was split into training (n = 71 ACT, n = 24 high-grade CS) and internal test (n = 19 ACT, n = 6 high-grade CS) cohorts, respectively, based on the date of surgery. At centre 2, the dataset constituted the external test cohort (n = 12 ACT, n = 18 high-grade CS). Manual segmentation was performed on frontal view X-rays, using MRI or CT for preliminary identification of lesion margins. After image pre-processing, radiomic features were extracted. Dimensionality reduction included stability, coefficient of variation, and mutual information analyses. In the training cohort, after class balancing, a machine learning classifier (Support Vector Machine) was automatically tuned using nested 10-fold cross-validation. Then, it was tested on both the test cohorts and compared to two musculoskeletal radiologists' performance using McNemar's test. FINDINGS: Five radiomic features (3 morphology, 2 texture) passed dimensionality reduction. After tuning on the training cohort (AUC = 0.75), the classifier had 80%, 83%, 79% and 80%, 89%, 67% accuracy, sensitivity, and specificity in the internal (temporally independent) and external (geographically independent) test cohorts, respectively, with no difference compared to the radiologists (p ≥ 0.617). INTERPRETATION: X-rays radiomics-based machine learning accurately differentiates between ACT and high-grade CS of long bones. FUNDING: AIRC Investigator Grant.

MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities.

PURPOSE: To determine diagnostic performance of MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor (ALT) of the extremities. MATERIAL AND METHODS: This retrospective study was performed at three tertiary sarcoma centers and included 150 patients with surgically treated and histology-proven lesions. The training-validation cohort consisted of 114 patients from centers 1 and 2 (n = 64 lipoma, n = 50 ALT). The external test cohort consisted of 36 patients from center 3 (n = 24 lipoma, n = 12 ALT). 3D segmentation was manually performed on T1- and T2-weighted MRI. After extraction and selection of radiomic features, three machine learning classifiers were trained and validated using nested fivefold cross-validation. The best-performing classifier according to previous analysis was evaluated and compared to an experienced musculoskeletal radiologist in the external test cohort. RESULTS: Eight features passed feature selection and were incorporated into the machine learning models. After training and validation (74% ROC-AUC), the best-performing classifier (Random Forest) showed 92% sensitivity and 33% specificity in the external test cohort with no statistical difference compared to the radiologist (p = 0.474). CONCLUSION: MRI radiomics-based machine learning may classify deep-seated lipoma and ALT of the extremities with high sensitivity and negative predictive value, thus potentially serving as a non-invasive screening tool to reduce unnecessary referral to tertiary tumor centers.

3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction.

Objective: The extent of response to neoadjuvant chemotherapy predicts survival in Ewing sarcoma. This study focuses on MRI radiomics of skeletal Ewing sarcoma and aims to investigate feature reproducibility and machine learning prediction of response to neoadjuvant chemotherapy. Materials and methods: This retrospective study included thirty patients with biopsy-proven skeletal Ewing sarcoma, who were treated with neoadjuvant chemotherapy before surgery at two tertiary sarcoma centres. 7 patients were poor responders and 23 were good responders based on pathological assessment of the surgical specimen. On pre-treatment T1-weighted and T2-weighted MRI, 2D and 3D tumour segmentations were manually performed. Features were extracted from original and wavelet-transformed images. Feature reproducibility was assessed through small geometrical transformations of the regions of interest mimicking multiple manual delineations, and intraclass correlation coefficient >0.75 defined feature reproducibility. Feature selection also consisted of collinearity and significance analysis. After class balancing in the training cohort, three machine learning classifiers were trained and tested on unseen data using hold-out cross-validation. Results: 1303 (77%) 3D and 620 (65%) 2D radiomic features were reproducible. 4 3D and 4 2D features passed feature selection. Logistic regression built upon 3D features achieved the best performance with 85% accuracy (AUC=0.9) in predicting response to neoadjuvant chemotherapy. Conclusion: Compared to 2D approach, 3D MRI radiomics of Ewing sarcoma had superior reproducibility and higher accuracy in predicting response to neoadjuvant chemotherapy, particularly when using logistic regression classifier.

Malignant Transformation of Giant Cell Tumour of Bone: A Review of Literature and the Experience of a Referral Centre.

Giant cell tumour of bone (GCTB) is a benign, locally aggressive primary bone neoplasm that represents 5% of all bone tumours. The principal treatment approach is surgery. Although generally GCTB is considered only a locally aggressive disease, it can metastasise, and lung metastases occur in 1-9% of patients. To date, only the use of denosumab has been approved as medical treatment for GCTB. Even more rarely, GCTB undergoes sarcomatous transformation into a malignant tumour (4% of all GCTB), but history of this malignant transformation is unclear and unpredictable. Considering the rarity of the event, the data in the literature are few. In this review, we summarise published data of GCTB malignant transformation and we analyse three cases of malignant transformation of GCTB, evaluating histopathology, genetics, and radiological aspects. Despite the rarity of this event, we conclude that a strict follow up is recommended to detect early malignant transformation.

Case Report: Probable Cerebral Amyloid Angiopathy-Related Inflammation During Bevacizumab Treatment for Metastatic Cervical Cancer.

Bevacizumab is an anti-angiogenic monoclonal antibody targeting Vascular Endothelial Growth Factor (VEGF) that induces the proliferation and migration of vascular endothelial cells thus, promoting vasculogenesis. Bevacizumab inhibits cancer angiogenesis, which is fundamental for either tumor development, exponential growth, or metastatic spread by supplying nutrients and oxygen. We report a new possible adverse event of bevacizumab, a Cerebral Amyloid Angiopathy-Related Inflammation (CAARI), in a 72-year-old woman with metastatic cervical cancer. After six cycles every three weeks of chemotherapy (cisplatin, paclitaxel, bevacizumab) and following two maintenance bevacizumab administrations, the patient presented a worsening confusional state. The MRI scan showed bilateral asymmetric temporo-parieto-occipital hyperintensity with numerous cortical microbleeds indicative of a CAARI. After stopping bevacizumab treatment, steroid therapy was administered resulting in rapid clinical improvement. The subsequent neurological and oncological follow-up was negative for recurrence. The patient was a heterozygote carrier for apolipoprotein-E ε4 that increases the risk of sporadic Cerebral Amyloid Angiopathy (CAA), which is characterized by beta-amyloid accumulation and fibrinoid necrosis in cerebral vasculature leading to micro/macrohemorrhages and dementia. Moreover, CAA is present in 30% of people aged over 60 years without dementia. In the brains of CAA patients, there is a proinflammatory state with cerebrovascular endothelial cell alteration and elevated levels of either adhesion molecules or inflammatory interleukins that increase the blood-brain barrier permeability. Moreover, CAARI is an inflammatory form of CAA. Inhibition of VEGF, which has anti-apoptotic, anti-inflammatory, and pro-survival effects on endothelial cells, impairs their regenerative capacity and increases expression of proinflammatory genes leading to weakened supporting layers of blood vessels and, hence, to damaged vascular integrity. In our patient, bevacizumab administration may have further increased permeability of cerebral microvasculature likely impaired by an underlying, asymptomatic CAA. To our knowledge, this is the first case reporting on the development of probable CAARI during bevacizumab treatment, which should alert the clinicians in case of neurological symptom onset in older patients under anti-angiogenic therapy.

Case Report: Rechallenge With BRAF and MEK Inhibitors in Metastatic Melanoma: A Further Therapeutic Option in Salvage Setting?

BACKGROUND: The combination of BRAF and MEK inhibitors represents the standard of care treatment for patients with metastatic BRAF-mutated melanoma, notwithstanding the high frequency of emergent resistance. Moreover, therapeutic options outside clinical trials are scarce when patients have progressed after both targeted therapy and therapy with immune checkpoint inhibitors. In this article, we report our experience with targeted therapy rechallenging with BRAF and MEK inhibitors in patients with metastatic BRAF-mutated melanoma after progression with kinase inhibitors and immunotherapy. METHODS: Four patients with metastatic BRAF-mutated melanoma were rechallenged with BRAF and MEK inhibitors after progression with targeted therapy and subsequent immunotherapy (checkpoint inhibitors). RESULTS: Two patients (one of them was heavily pretreated) had partial response over 36 months (with local treatment on oligoprogression disease) and 10 months, respectively. A third patient with multisite visceral disease and high serum levels of lactate dehydrogenase had a short-lived clinical benefit rapidly followed by massive progression of disease (early progressor). The fourth patient, currently on treatment with BRAF/MEK inhibitors, is showing a clinical benefit and radiological stable disease over 3 months of therapy. Adverse events were manageable, similar to those reported during the first targeted therapy; the treatment was better tolerated at rechallenge compared with the first treatment by two out of four patients.

CT radiomics-based machine learning classification of atypical cartilaginous tumours and appendicular chondrosarcomas.

BACKGROUND: Clinical management ranges from surveillance or curettage to wide resection for atypical to higher-grade cartilaginous tumours, respectively. Our aim was to investigate the performance of computed tomography (CT) radiomics-based machine learning for classification of atypical cartilaginous tumours and higher-grade chondrosarcomas of long bones. METHODS: One-hundred-twenty patients with histology-proven lesions were retrospectively included. The training cohort consisted of 84 CT scans from centre 1 (n=55 G1 or atypical cartilaginous tumours; n=29 G2-G4 chondrosarcomas). The external test cohort consisted of the CT component of 36 positron emission tomography-CT scans from centre 2 (n=16 G1 or atypical cartilaginous tumours; n=20 G2-G4 chondrosarcomas). Bidimensional segmentation was performed on preoperative CT. Radiomic features were extracted. After dimensionality reduction and class balancing in centre 1, the performance of a machine-learning classifier (LogitBoost) was assessed on the training cohort using 10-fold cross-validation and on the external test cohort. In centre 2, its performance was compared with preoperative biopsy and an experienced radiologist using McNemar's test. FINDINGS: The classifier had 81% (AUC=0.89) and 75% (AUC=0.78) accuracy in identifying the lesions in the training and external test cohorts, respectively. Specifically, its accuracy in classifying atypical cartilaginous tumours and higher-grade chondrosarcomas was 84% and 78% in the training cohort, and 81% and 70% in the external test cohort, respectively. Preoperative biopsy had 64% (AUC=0.66) accuracy (p=0.29). The radiologist had 81% accuracy (p=0.75). INTERPRETATION: Machine learning showed good accuracy in classifying atypical and higher-grade cartilaginous tumours of long bones based on preoperative CT radiomic features. FUNDING: ESSR Young Researchers Grant.

[18F]FDG PET/CT quantitative parameters for the prediction of histological response to induction chemotherapy and clinical outcome in patients with localised bone and soft-tissue Ewing sarcoma.

OBJECTIVE: The application of [18F]FDG PET/CT in predicting histologic response to induction chemotherapy in patients with Ewing sarcoma (EWS) has been proposed using the values of pre-post treatment SUVmax as a referral parameter, although with heterogeneous results. The aim of this retrospective study was to evaluate the diagnostic accuracy of [18F]FDG PET/CT volumetric parameters (metabolic tumour volume (MTV) and total lesion glycolysis (TLG)) as compared to SUVmax to predict response to chemotherapy and clinical outcome in patients with localised EWS of bone and soft-tissue. METHODS: Twenty-eight patients with non-metastatic EWS of bone (n = 20) and soft tissues (n = 8) who underwent a [18F]FDG PET/CT scan before (PET1) and after induction chemotherapy (PET2) were enclosed in the analysis. Values of PET metrics (SUVmax, MTV, TLG) at diagnosis and after neoadjuvant chemotherapy as well as the percentage change between PET1 and PET2 (ΔSUV, ΔMTV and ΔTLG) were correlated to histological response and to progression-free survival (PFS). RESULTS: ΔTLG (cut-off: -60%) is the best predictor for histologic response with 100% sensitivity and 77.8% specificity. MTV1 > 33.4 cm3 and TLG1 > 112 were also associated with a favourable histologic response (sensitivity 80% and specificity 77.8% for both). On multivariate analysis, SUV2 (> 3.3) and ΔTLG (< -18%) were independent predictors of worse PFS. CONCLUSIONS: [18F]FDG PET/CT could accurately predict histologic response to neoadjuvant chemotherapy in patients with EWS, also showing a possible prognostic value for future disease relapse. KEY POINTS: • The variation of the PET parameter tumour lesion glycolysis (TLG) can predict the histologic response to induction chemotherapy (sensitivity 100%, specificity 77.8%), in patients with Ewing sarcoma. • The percentage variation of TLG and the value of the SUVmax at PET scan after chemotherapy show a prognostic role for future disease relapse. The combination of both the parameters identifies three prognostic classes of patients with low, intermediate and high risk of disease relapse.

The advantages of carbon fiber based orthopedic devices in patients who have to undergo radiotherapy.

BACKGROUND AND OBJECTIVES: The modern approach to primary and secondary muscular skeletal tumors is multidisciplinary. The right combination of chemotherapy, surgery and radiotherapy (RT) makes obtaining local and distant disease control more likely. When surgery is indicated, radiotherapy often has a fundamental role as an adjuvant treatment; however, the titanium alloy instrumentations interfere with Radiotherapy setting, decreasing its effectiveness. It is common opinion that carbon fiber-reinforced devices are convenient in case of adjuvant RT in muscular skeletal oncology. The aim of the study is to support this intuition with experimental data, verifying the more accurate estimation of the delivered dose during RT, comparing Carbon Fiber-Reinforced PEEK (CFRP) plates with titanium-alloy orthopedic devices in order to evaluate their effects on target volume identification and dose distribution for radiation treatment. METHODS: Phantoms were then irradiated with a linear accelerator Varian 2100 C/D with photon beams of 6 and 15 MV energies. Absorbed dose in the point of interest was verified by EBT3 gafchromic films above and below the two materials. Images from CT simulations were also analyzed in terms of Hounsfield numbers in patients with titanium and carbon fiber orthopedic implants in the spine or in the femur. RESULTS: For a 6 MV photon beam, the doses measured just under the titanium-alloy plate were less than approximately 20% of the value calculated by the TPS. For a 15 MV beam energy, these differences were slightly lower. Using CFRP plate, the difference between measured and calculated doses was within ±3% for both energies, which was comparable with the statistical uncertainties. In the cases of simulated treatment of humerus titanium implants, the difference varies in range ± 10% with hot spot of + 10% and cold spot of -15%. CONCLUSIONS: The use of CFRP for orthopedic devices and implants provides a valuable advantage in identifying the target due to the reduction of artifacts. Clear imaging of the soft tissues surrounding the bone is useful and reduces the discrepancies between calculated/delivered and measured doses, generating a more homogeneous dose distribution. Furthermore, there is a significant benefit in detecting the state of disease in CT imaging during the follow-up of treated patients. In-vivo studies are encouraged to verify whether a more effective radiotherapy leads to a decrease in local recurrence and local progression.

Diagnostic and Clinical Impact of 18F-FDG PET/CT in Staging and Restaging Soft-Tissue Sarcomas of the Extremities and Trunk: Mono-Institutional Retrospective Study of a Sarcoma Referral Center.

BACKGROUND: Soft-tissue sarcomas (STS) represent a wide heterogeneous class of rare tumors. The exact role 18F-fluorodeoxyglucose positron emission/computed tomography (18F-FDG PET/CT) in the evaluation of STS is not well established. The aim of the present study was to evaluate how the use of 18F-FDG PET/CT in STS could influence patient therapy planning, looking for a possible added value over computed tomography and magnetic resonance imaging-the most used modalities in the study of STS. Differences in SUVmax according to histologic subtype and tumor grade were also considered. METHODS: a total of 345 consecutive 18F-FDG PET/CT scans performed for initial staging (n = 171) or for suspected disease relapse (n = 174) in 282 patients with STS extracted from the local Information System database were retrospectively reviewed. RESULTS: 18F-FDG PET/CT altered therapy planning in 80 cases (16.4% for staging and 29.9% in restaging), both for disease upstaging (58.8%) and downstaging (41.2%) Conclusions: 18F-FDG PET/CT could significantly influence management of patients with STS, particularly for restaging.

The Real-Life Journey of Elderly Patients in Soft Tissue and Bone Sarcomas: A Retrospective Analysis from a Sarcoma Referral Center.

The high complexity of multimodality treatment frequently results in undertreatment of elderly sarcoma patients, and this may be one of the factors that influence their prognosis. We describe the real-life approach to a population of patients aged over 70 with both soft tissue (STS) and bone sarcomas (BS) followed by our Sarcoma Disease Management Team from 2012 to 2017. One-hundred and twenty-three patients with a median age of 77 years (range: 70-92) were identified. STS were the most common histological subtypes (94%) and the grade was high in 79/123 patients (64%). At diagnosis, 88% of patients had localized disease (LD) and 12% were metastatic (MD). Overall, 96% of patients with LD underwent surgery, 46/54 (85%) with high grade STS patients underwent complementary radiotherapy, and 10/54 (19%) received adjuvant treatments. Twelve out of 33 patients who relapsed (36%) underwent local therapies. Seventeen (52%) and eight (24%) patients were treated with first-line and second-line medical treatments, respectively. Tolerability to systemic treatments was fairly good. Overall, 21% of the patients with advanced disease were candidates for best supportive care alone. Our case series of elderly patients with both STS and BS shows that personalized multidisciplinary treatment can nevertheless be offered to this frail population in order to control the evolution of disease.

The giant aggressive chondroma: A rare entity, a difficult approach.

INTRODUCTION: enchondromas rarely exceed 3-6 cm in long bones. Although the risk of developing secondary chondrosarcoma has been reported up to 4% in solitary lesions, it is not known if size represents a risk factor for transformation. OBJECTIVE: to describe three exceptional cases of enchondromas of the entire femur whereof one dedifferentiated in chondrosarcoma. RESULTS: two patients present stable disease at 5 and 6 years of follow-up; the third, already diagnosed with a dedifferentiated chondrosarcoma, died 14 months after the index surgery for systemic disease. CONCLUSION: based on these observations, our hypothesis is that lesion size is an important risk factor for malignant transformation.

Tumefactive Demyelinating Lesions and Pregnancy.

Until now, only one gestational tumefactive demyelinating lesion (TDL) has been described. Here we report two TDL cases occurring during and after the pregnancy. A 26-year-old 6-week pregnant woman developed a 3-cm left frontotemporoparietal subcortical TDL with inhomogeneous partial enhancement. Brain biopsy revealed a subacute demyelinating lesion with abundant macrophages and mild chronic perivascular inflammatory infiltrates. She also had femoralpopliteal deep vein thrombosis. During the 4-year follow-up, magnetic resonance imaging showed only residual biopsied TDL. The second case was a 41-year-woman affected by both multiple sclerosis (MS) and rheumatoid arthritis who developed a 2-cm right anterior corona radiata TDL with sporadic gadolinium-enhancing "annular spots" eight months after delivery. After steroid therapy at the 6-month radiological follow-up, this TDL was half-reduced. Five years earlier, at the beginning of her MS, she already had a 2-cm TDL with incomplete ring enhancement. These two described TDLs formed in prothrombotic conditions and were likely representative of thromboinflammation around and inside the small-medium veins.

18F-FDG PET/CT in the evaluation of cartilaginous bone neoplasms: the added value of tumor grading.

OBJECTIVES: Cartilaginous bone tumors represent a wide variety of neoplasms ranging from benign to extremely aggressive malignant lesions. Unlike other tumors, the biopsy cannot easily predict the histological grade, sometimes not allowing choosing the best therapeutic approach. The aim of the study was to evaluate the ability of 18F-FDG PET/CT to differentiate enchondroma from chondrosarcoma and to predict the histological grade as compared to biopsy. METHODS: 18F-FDG PET/CT of 95 patients with chondroid lesions were retrospectively evaluated. The best SUVmax cutoff to predict the post-surgical histological grade were correlated to those of biopsy and to several radiologic aggressiveness features, which were summarized in the parameter "Radiologic Aggressiveness Score" (AgSCORE). RESULTS: A concordance between the preoperative biopsy and the definitive histological grade was observed overall in 78.3% of patients, the lowest accuracy (58.6%) being in the identification of intermediate/high-grade chondrosarcoma (G2/G3). The best SUVmax cutoff was 2.6 to discriminate enchondroma vs. low-grade chondrosarcoma (sensitivity 0.68, specificity 0.86), 3.7 to differentiate low-grade vs. intermediate/high-grade chondrosarcoma (sensitivity 0.83, specificity 0.84) and 7.7 to differentiate intermediate/high-grade vs. dedifferentiated chondrosarcoma (sensitivity 0.92, specificity 0.9). The AgSCORE also showed a high accuracy to differentiate between G1 and G2/G3 chondrosarcoma (cutoff = 4; sensitivity 0.76; specificity 0.89). An even higher accuracy was observed in those cases in which both SUVmax and AgSCORE cutoff were concordant. CONCLUSIONS: Results in this large series of patients suggest a potential role of 18F-FDG PET/CT for histological grading of cartilaginous tumors, thus helping the orthopedic surgeon towards the most appropriate surgical procedure.

Precision diagnostics of Ewing's sarcoma by liquid biopsy: circulating EWS-FLI1 fusion transcripts.

BACKGROUND: Limited information is available on the applicative value of liquid biopsy (LB) in rare tumors, including Ewing's sarcoma (ES). The accepted precision diagnostics standards would greatly benefit from a non-invasive LB test monitoring pathognomonic gene rearrangements in the bloodstream. METHODS: Tissue and blood samples were collected from six and four ES patients, respectively. Plasma was cleared by two successive rounds of centrifugation and stored frozen until RNA extraction by the QIAmp CNA kit. RNA was retro-transcribed and subjected to real-time quantitative polymerase chain reaction (RT-qPCR) and digital polymerase chain reaction (dPCR). Reactions were set up using two custom primer sets identifying types 1 and 2 EWS-FLI1 fusion transcripts. RESULTS: The two prevalent types of EWS-FLI1 rearrangements could be identified using only two sets of polymerase chain reaction primers, regardless of patient-specific EWS-FLI1 DNA breakpoints. RT-qPCR and dPCR discriminated the two variants in five tumor tissue RNAs and in four circulating tumor RNAs (ctRNAs). Of note, EWS-FLI1 molecular diagnosis was possible using blood samples even when tumor tissue was not available. ctRNA levels correlated (p < 0.05) with volume-based positron emission tomography (PET) parameters (metabolic tumor volume and total lesion glycolysis), and allowed the fine tracking of disease course after surgery, during adjuvant as well as neoadjuvant chemotherapy, and at follow up in one patient. CONCLUSIONS: To our knowledge, this is one of the few single-marker LB assays in solid tumors specifically designed to detect rearranged RNAs in blood, and the first study describing EWS circulating tumor RNAs in ES patients. Altogether, our results support the idea that LB may have a considerable impact on ES patient monitoring and management.

Intralesional vs. extralesional procedures for low-grade central chondrosarcoma: a systematic review of the literature.

INTRODUCTION: Chondroid lesions are very common bone tumors. In most cases, they are benign enchondromas (EC) and, in a minor percentage, chondrosarcomas (CSs), the malignant counterpart. In the latter cases, surgery is the mainstay treatment, because they are chemo- and radio-resistant unless dedifferentiation occurs. If resection is recognized as the gold standard for intermediate-, high-grade tumors, and for low-grade chondrosarcoma (LG-CS) located in the spine and pelvis to reduce the risk of local recurrence, there is still no consensus in literature on the treatment of central low-grade chondrosarcoma (cLG-CS) located in the limbs. Our aim is to perform a review of literature on evidence supporting this approach or not. MATERIALS AND METHODS: An electronic research of the medical archives was carried out in March 2017 seeking papers evaluating the results of curettage and resection in cLG-CS. RESULTS: We selected 13 studies corresponding to our criteria. Unfortunately, they were descriptive, retrospective, non-randomized studies. We identified a population of 471 patients for a total of 473 low-grade chondrosarcomas. Two hundred and ninety-nine lesions were treated with curettage and 174 with wide surgery. The two groups were not homogeneous for diagnosis, size and staging, so no comparison between resection and curettage was possible. The global weighted average percentage of local recurrence was 6.7% (20 cases) and 10.9% (19 cases) after curettage and resection, respectively. No cases of metastasis were reported in the group treated with intralesional surgery, compared to five cases reported in the group treated with resection. Indications for surgery were given in most cases based on symptoms and imaging. CONCLUSIONS: The absence of a preoperative histological diagnosis and the lack of a scientific method to conduct the studies do not sufficiently support curettage for low-grade chondrosarcomas. In the absence of this, resection must be considered a general rule for every malignancy. In our opinion, based on the low biological growth rate of low-grade chondrosarcoma, every chondromatous lesion can be followed-up. Biopsies must be performed based on clinical and radiological suspicions such as pain, scalloping or increase in size, rather than on performing a PET scan to evidence more informative high metabolic areas.

Relationship between diffusion parameters derived from intravoxel incoherent motion MRI and perfusion measured by dynamic contrast-enhanced MRI of soft tissue tumors.

Our aim was to evaluate the link between diffusion parameters measured by intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) and the perfusion metrics obtained with dynamic contrast-enhanced (DCE) MRI in soft tissue tumors (STTs). Twenty-eight patients affected by histopathologically confirmed STT were included in a prospective study. All patients underwent both DCE MRI and IVIM DWI. The perfusion fraction f, diffusion coefficient D and perfusion-related diffusion coefficient D* were estimated using a bi-exponential function to fit the DWI data. DCE MRI was acquired with a temporal resolution of 3-5 s. Maps of the initial area under the gadolinium concentration curve (IAUGC), time to peak (TTP) and maximum slope of increase (MSI) were derived using commercial software. The relationships between the DCE MRI and IVIM DWI measurements were assessed by Spearman's test. To exclude false positive results under multiple testing, the false discovery rate (FDR) procedure was applied. The Mann-Whitney test was used to evaluate the differences between all variables in patients with non-myxoid and myxoid STT. No significant relationship was found between IVIM parameters and any DCE MRI parameters. Higher f and D*f values were found in non-myxoid tumors compared with myxoid tumors (p = 0.004 and p = 0.003, respectively). MSI was significantly higher in non-myxoid tumors than in myxoid tumors (p = 0.029). From the visual assessments of single clinical cases, both f and D*f maps were in satisfactory agreement with DCE maps in the extreme cases of an avascular mass and a highly vascularized mass, whereas, for tumors with slight vascularity or with a highly heterogeneous perfusion pattern, this association was not straightforward. Although IVIM DWI was demonstrated to be feasible in STT, our data did not support evident relationships between perfusion-related IVIM parameters and perfusion measured by DCE MRI.

miR-181c associates with tumor relapse of high grade osteosarcoma.

High-grade osteosarcoma (OS) is characterized by low incidence, high aggressiveness and moderate 5-years survival rate after aggressive poly-chemotherapy and surgery. Here we used miRNA profiling as a tool to possibly predict and monitor OS's development and therapeutic outcome. First, we evaluated the altered expression of selected miRNAs from a case of Giant Cell Tumor (GCT) apparently evolved into an OS. We found that most of modulated miRs were associated with pathways of bone resorption and osteogenesis. miRNA expression also revealed that GCT and OS were distinct tumors. Second, we validated the observed miRNA profile in two independent casuistries of ten GCT (not evolved into malignant tumors) and sixteen OS patients. Interestingly, we found that miR-181c and other three miRNAs identified in the first step of the study were also consistently de-regulated in all OS patients. Ectopic expression of miR-181c reduced cell viability and enhanced chemotherapeutic-induced cell death of U2OS and SAOS2 cells. These findings indicate that: i) miRNAs aberrantly modulated in GCT could be predictive of its development into OS and ii) miRNAs expression could be useful to monitor the OS therapeutic outcome.

A multiplanar complex resection of a low-grade chondrosarcoma of the distal femur guided by K-wires previously inserted under CT-guide: a case report.

BACKGROUND: In muscular skeletal oncology aiming to achieve wide surgical margin is one of the main factors influencing patient prognosis. In cases where lesions are either meta or epiphyseal, surgery most often compromises joint integrity and stability because muscles, tendons and ligaments are involved in wide resection. When lesions are well circumscribed they can be completely resected by performing multi-planar osteotomies guided by computer-assisted navigation. We describe a case of low-grade chondrosarcoma of the distal femur where a simple but effective technique was useful to perform complex multiplanar osteotomies. No similar techniques are reported in the literature. CASE PRESENTATION: A 57 year-old Caucasian female was referred to our department for the presence of a distal femur chondrosarcoma. A resection with the presenting technique was scheduled. The first step consists of inserting several K-wires under CT-scan control to delimitate the tumor; the second step consists of tumor removal: in operative theatre, following surgical access, k-wires are used as guide positioning; scalpels are externally placed to k-wires to perform a safe osteotomy. CONCLUSIONS: Computed assisted resections can be considered the most advantageous method to reach the best surgical outcome; unfortunately navigation systems are only available in specialized centres. The present technique allows for a multiplanar complex resection when navigation systems are not available. This technique can be applied in low-grade tumours where a minimal wide margin can be considered sufficient.

Planned neck dissection after chemoradiotherapy in advanced oropharyngeal squamous cell cancer: the role of US, MRI and FDG-PET/TC scans to assess residual neck disease.

OBJECTIVE: To investigate the ability of neck ultrasounds (US), magnetic resonance imaging (MRI) and positron emission tomography (FDG-PET/TC) in detecting residual nodal disease after chemoradiotherapy in patients with advanced oropharyngeal squamous cell carcinoma (OPSCC). METHODS: From 2006 to 2009, 36 consecutive patients affected by OPSCC with bulky nodal disease (>3 cm), treated with primary concurrent chemoradiotherapy, were enrolled prospectively. Nodal response to treatment was assessed by using US, MRI and FDG-PET/CT. Planned neck dissection (ND) was performed in all the patients, and the histopathological node status was compared to the imaging findings in order to establish sensitivity, specificity, accuracy and predictive values of each technique. RESULTS: Metastatic disease was assessed in 18/37 (48.6%) hemi-necks, always localized in levels II-IV. US showed greater sensitivity (77.8%) and, combined with FDG-PET/TC, produced the highest negative predictive value (93.3%). US, MRI and FDG-PET/TC scans showed the highest specificity (100%), accuracy (93.8%) and positive predictive values (100%). CONCLUSIONS: In the presence of advanced OPSCC with bulky nodal disease, US combined with FDG-PET/TC could be a reliable and cost-effective strategy to identify patients with complete nodal response to chemoradiotherapy that might not require post-treatment ND but only observation. When residual disease in the neck was detected, selective ND was recommended.