Detection of local recurrences of limb soft-tissue sarcomas: Is magnetic resonance imaging (MRI) relevant?

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 10582-10582
Author(s):  
G. Ferron ◽  
R. Aziza ◽  
M. Delannes ◽  
T. Filleron ◽  
B. Marquès ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Clinical Examination ◽  
Soft Tissue Sarcomas ◽  
Adult Patients ◽  
Resonance Imaging ◽  
Local Recurrences ◽  
Magnetic Resonance Imaging Mri ◽  
Mri Surveillance

10582 Background: The role of systematic magnetic resonance imaging (MRI) surveillance after resection of soft-tissue sarcomas (STS) of the limb is opened to debate. The aim of our study was to retrospectively evaluate the effectiveness of a MRI surveillance schedule performed in adult patients. Methods: 124 adult patients have been treated from 1996 to 2006 for a non-metastatic limb STS at our centre: 86 patients (70%) had clear resection margins (R0) and 111 patients (90%) received an adjuvant radiotherapy. 663 MRI examinations were performed, with a median of 5 per patient [range: 1 to 5]. The rythm of surveillance schedule was respected in 57% of the examinations. Results: Forty-one patients (33%) prematurely withdrew from the planned radiological surveillance due to metastasis diagnosis (15 cases), 5-year remission duration (5 cases), other reasons (12 cases), and drop out (9 cases). Among the 11 local recurrences (9%) which were observed, MRI was able to detect only 2 asymptomatic local recurrences, 1 with and 1 without synchronous metastasis, both had microscopically involved margins (R1). In contrast, MRI showed 11 false-positive cases. As the predictive positive value of MRI was 42%, clinical surveillance seems to be more effective. The evaluation of the cost of the systematic MRI surveillance is 200,000 euros. Clinical examination failed in 2 cases (2 asymptomatic local recurrences detected by MRI) as did MRI surveillance (2 false negative cases). In our study, cost-effectiveness was better with clinical examination than MRI surveillance. Conclusions: As observed in our study, systematic MRI surveillance is not relevant for the follow-up of all limb soft-tissue sarcomas. A prospective study could be promoted to evaluate the MRI surveillance of patient at high risk of local recurrence. No significant financial relationships to disclose.

Does the primary soft-tissue sarcoma configuration predict configuration of recurrent tumors on magnetic resonance imaging?

2021 ◽  
pp. 028418512110083
Author(s):  
Sam Sedaghat ◽  
Mona Salehi Ravesh ◽  
Maya Sedaghat ◽  
Jens Meschede ◽  
Olav Jansen ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Soft Tissue Sarcomas ◽  
Recurrent Tumor ◽  
Resonance Imaging ◽  
Recurrent Tumors ◽  
Magnetic Resonance Imaging Mri ◽  
Multiple Recurrences

Background Soft-tissue sarcomas (STS) are rare malignancies of the soft tissue. Purpose To assess whether the magnetic resonance imaging (MRI) configuration of primary STS can predict the configuration of a recurring tumor and whether the MRI configuration of multiple recurrences differs in one and the same patient. Material and Methods Thirty-nine patients with histologically proven recurrent STS were included in this retrospective study and underwent pre- and post-treatment MRI. Three main configurations of primary and recurrent tumors were identified: polycyclic/multilobulated; ovoid/nodular; and streaky. Results Sixty recurrent lesions were detected: 34 ovoid/nodular; 15 polycyclic/multilobulated; and 11 streaky. Five recurrences were multifocal and eight were bifocal. Of 39 patients, 28 (71.8%) presented one recurrence within the MRI follow-up period ( P = 0.006); in 10 patients (25.6%), up to three different configurations of recurring STS were identified in one patient. Recurrences of polycyclic/multilobulated primaries were mostly ovoid/nodular (48%; P = 0.003) or polycyclic/multilobulated (37%; P = 0.014), and recurring ovoid/nodular STS significantly most often showed the same configuration as the primary tumor (85%; P < 0.001). Primary STS with a streaky configuration recurred in all three configurations in roughly equal proportions. Homogeneity/heterogeneity and tumor borders are significantly associated with the configuration of recurrences. Conclusion Primary STS configuration may help predict recurrent tumor configuration when the primary STS had a polycyclic/multilobulated or ovoid/nodular configuration. However, recurrent STS configuration can also differ from primary STS configuration, especially when the primary STS had a streaky configuration, rendering recurrent STS difficult to predict. Different configurations of recurrent STS in one and the same patient are common.

scholarly journals Non-invasive diagnostics in fossils - Magnetic Resonance Imaging of pathological belemnites

2005 ◽  
Vol 2 (2) ◽  
pp. 133-140 ◽  
Author(s):  
D. Mietchen ◽  
H. Keupp ◽  
B. Manz ◽  
F. Volke
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Clinical Diagnostics ◽  
Resonance Imaging ◽  
Non Invasive ◽  
Physiological Processes ◽  
Magnetic Resonance Imaging Mri ◽  
Invasive Diagnostics

Abstract. For more than a decade, Magnetic Resonance Imaging (MRI) has been routinely employed in clinical diagnostics because it allows non-invasive studies of anatomical structures and physiological processes in vivo and to differentiate between healthy and pathological states, particularly of soft tissue. Here, we demonstrate that MRI can likewise be applied to fossilized biological samples and help in elucidating paleopathological and paleoecological questions: Five anomalous guards of Jurassic and Cretaceous belemnites are presented along with putative paleopathological diagnoses directly derived from 3D MR images with microscopic resolution. Syn vivo deformities of both the mineralized internal rostrum and the surrounding former soft tissue can be traced back in part to traumatic events of predator-prey-interactions, and partly to parasitism. Besides, evidence is presented that the frequently observed anomalous apical collar might be indicative of an inflammatory disease. These findings highlight the potential of Magnetic Resonance techniques for further paleontological applications.

scholarly journals Glomus tumour

2016 ◽  
Vol 98 (1) ◽  
pp. e1-e2
Author(s):  
C Sethu ◽  
AU Sethu
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Clinical Examination ◽  
Late Diagnosis ◽  
Glomus Tumour ◽  
Resonance Imaging ◽  
Soft Tissue Tumours ◽  
Delay In Diagnosis ◽  
Rare Tumours

Glomus tumours are rare tumours accounting for only 1–5% of soft tissue tumours of the hand. They are described classically in the subungual region. We present the case of a 32-year-old woman with a late diagnosis of a glomus tumour that had caused her excruciating pain. Clinical examination was positive for Hildreth’s sign and the Love test. Magnetic resonance imaging delineated the tumour, which was excised and confirmed histologically. This case highlights the continued delay in diagnosis of glomus tumours as well as the use of imaging in diagnosis and planning of surgery.

Computed Tomography and Magnetic Resonance Imaging of Cervical Metastasis

1989 ◽  
Vol 101 (4) ◽  
pp. 422-425 ◽  
Author(s):  
Daniel D. Lydiatt ◽  
Rodney S. Markin ◽  
Susan M. Williams ◽  
Leon F. Davis ◽  
Anthony J. Yonkers
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Magnetic Resonance ◽  
Head And Neck ◽  
Clinical Examination ◽  
Radical Neck Dissection ◽  
Resonance Imaging ◽  
Primary Tumors ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri

Thirteen patients with head and neck cancer underwent staging by clinical examination, computed tomography (CT), and magnetic resonance imaging (MRI) in a standardized blinded fashion. All patients subsequently underwent radical neck dissection with subsequent pathologic staging. CT and MRI each predicted 93% of staging results correctly, with clinical examination correct 67% of the time. Staging of primary tumors had an accuracy of 90% by clinical examination, 40% by CT, and 50% by MRI when compared to staging of the pathologic specimen. Understaging was seen in 50% of CT scans and 30% of MRI scans. We believe either CT or MRI should be considered for routine staging of the neck in all head and neck malignancies.

scholarly journals Manual versus semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging: evaluation of similarity and comparison of segmentation times

2021 ◽  
Vol 54 (3) ◽  
pp. 155-164
Author(s):  
Fernando Carrasco Ferreira Dionisio ◽  
Larissa Santos Oliveira ◽  
Mateus de Andrade Hernandes ◽  
Edgard Eduard Engel ◽  
Paulo Mazzoncini de Azevedo-Marques ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Soft Tissue Sarcomas ◽  
Dice Similarity Coefficient ◽  
Intraobserver Variability ◽  
Resonance Imaging ◽  
Semiautomatic Segmentation ◽  
Significant Difference ◽  
Degree Of Similarity

Abstract Objective: To evaluate the degree of similarity between manual and semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging (MRI). Materials and Methods: This was a retrospective study of 15 MRI examinations of patients with histopathologically confirmed soft-tissue sarcomas acquired before therapeutic intervention. Manual and semiautomatic segmentations were performed by three radiologists, working independently, using the software 3D Slicer. The Dice similarity coefficient (DSC) and the Hausdorff distance were calculated in order to evaluate the similarity between manual and semiautomatic segmentation. To compare the two modalities in terms of the tumor volumes obtained, we also calculated descriptive statistics and intraclass correlation coefficients (ICCs). Results: In the comparison between manual and semiautomatic segmentation, the DSC values ranged from 0.871 to 0.973. The comparison of the volumes segmented by the two modalities resulted in ICCs between 0.9927 and 0.9990. The DSC values ranged from 0.849 to 0.979 for intraobserver variability and from 0.741 to 0.972 for interobserver variability. There was no significant difference between the semiautomatic and manual modalities in terms of the segmentation times (p > 0.05). Conclusion: There appears to be a high degree of similarity between manual and semiautomatic segmentation, with no significant difference between the two modalities in terms of the time required for segmentation.

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