1
|
Nikiforaki K, Marias K. MRI Methods to Visualize and Quantify Adipose Tissue in Health and Disease. Biomedicines 2023; 11:3179. [PMID: 38137400 PMCID: PMC10740979 DOI: 10.3390/biomedicines11123179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/21/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023] Open
Abstract
MRI is the modality of choice for a vast range of pathologies but also a sensitive probe into human physiology and tissue function. For this reason, several methodologies have been developed and continuously evolve in order to non-invasively monitor underlying phenomena in human adipose tissue that were difficult to assess in the past through visual inspection of standard imaging modalities. To this end, this work describes the imaging methodologies used in medical practice and lists the most important quantitative markers related to adipose tissue physiology and pathology that are currently supporting diagnosis, longitudinal evaluation and patient management decisions. The underlying physical principles and the resulting markers are presented and associated with frequently encountered pathologies in radiology in order to set the frame of the ability of MRI to reveal the complex role of adipose tissue, not as an inert tissue but as an active endocrine organ.
Collapse
Affiliation(s)
- Katerina Nikiforaki
- Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology—Hellas, 70013 Heraklion, Greece;
| | - Kostas Marias
- Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology—Hellas, 70013 Heraklion, Greece;
- Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece
| |
Collapse
|
2
|
de Bree E, Michelakis D, Heretis I, Kontopodis N, Spanakis K, Lagoudaki E, Tolia M, Zografakis-Sfakianakis M, Ioannou C, Mavroudis D. Retroperitoneal Soft Tissue Sarcoma: Emerging Therapeutic Strategies. Cancers (Basel) 2023; 15:5469. [PMID: 38001729 PMCID: PMC10670057 DOI: 10.3390/cancers15225469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/09/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
Retroperitoneal soft tissue sarcoma (RPS) is a rare and heterogenous disease for which surgery is the cornerstone of treatment. However, the local recurrence rate is much higher than in soft tissue sarcoma of the extremities since wide resection is usually unfeasible in RPS due to its large size, indistinct tumour borders, anatomical constraints and the thinness of the overlying peritoneum. Local recurrence is the leading cause of death for low-grade RPS, whereas high-grade tumours are prone to distant metastases. In recent decades, the role of emerging therapeutic strategies, such as more extended surgery and (neo)adjuvant treatments to improve oncological outcome in primary localised RPS, has been extensively investigated. In this review, the recent data on the evolving multidisciplinary management of primary localised RPS are comprehensively discussed. The heterogeneity of RPS, with their different histological subtypes and biological behaviour, renders a standard therapeutic 'one-size-fits-all' approach inappropriate, and treatment should be modified according to histological type and malignancy grade. There is sufficient evidence that frontline extended surgery with compartmental resection including all ipsilateral retroperitoneal fat and liberal en bloc resection of adjacent organs and structures, even if they are not macroscopically involved, increases local tumour control in low-grade sarcoma and liposarcoma, but not in leiomyosarcoma for which complete macroscopic resection seems sufficient. Additionally, preoperative radiotherapy is not indicated for all RPSs, but seems to be beneficial in well-differentiated liposarcoma and grade I/II dedifferentiated liposarcoma, and probably in solitary fibrous tumour. Whether neoadjuvant chemotherapy is of benefit in high-grade RPS remains unclear from retrospective data and is subject of the ongoing randomised STRASS 2 trial, from which the results are eagerly awaited. Personalised, histology-tailored multimodality treatment is promising and will likely further evolve as our understanding of the molecular and genetic characteristics within RPS improves.
Collapse
Affiliation(s)
- Eelco de Bree
- Department of Surgical Oncology, Medical School of Crete University Hospital, 71110 Heraklion, Greece;
| | - Dimosthenis Michelakis
- Department of Surgical Oncology, Medical School of Crete University Hospital, 71110 Heraklion, Greece;
| | - Ioannis Heretis
- Department of Urology, Medical School of Crete University Hospital, 71110 Heraklion, Greece;
| | - Nikolaos Kontopodis
- Department of Vascular Surgery, Medical School of Crete University Hospital, 71110 Heraklion, Greece; (N.K.); (C.I.)
| | - Konstantinos Spanakis
- Department of Medical Imaging, Medical School of Crete University Hospital, 71110 Heraklion, Greece;
| | - Eleni Lagoudaki
- Department of Pathology, Medical School of Crete University Hospital, 71110 Heraklion, Greece;
| | - Maria Tolia
- Department of Radiation Oncology, Medical School of Crete University Hospital, 71110 Heraklion, Greece;
| | | | - Christos Ioannou
- Department of Vascular Surgery, Medical School of Crete University Hospital, 71110 Heraklion, Greece; (N.K.); (C.I.)
| | - Dimitrios Mavroudis
- Department of Medical Oncology, Medical School of Crete University Hospital, 71110 Heraklion, Greece;
| |
Collapse
|
3
|
Evaluation of Classic and Quantitative Imaging Features in the Differentiation of Benign and Atypical Lipomatous Soft Tissue Tumors Using a Standardized Multiparametric MRI Protocol: A Prospective Single-Centre Study in 45 Patients. Curr Oncol 2023; 30:3315-3328. [PMID: 36975465 PMCID: PMC10047222 DOI: 10.3390/curroncol30030252] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 02/24/2023] [Accepted: 03/07/2023] [Indexed: 03/16/2023] Open
Abstract
Background: Discrimination between benign and atypical lipomatous tumors (ALT) is important due to potential local complications and recurrence of ALT but can be difficult due to the often-similar imaging appearance. Using a standardized MRI protocol, this study aimed to rank established and quantitative MRI features by diagnostic value in the differentiation of benign and atypical lipomatous tumors and to develop a robust scoring system. Methods: Patients with clinical or sonographic suspicion of a lipomatous tumor were prospectively and consecutively enrolled from 2015 to 2019 after ethic review board approval. Histology was confirmed for all ALT and 85% of the benign cases. Twenty-one demographic and morphologic and twenty-three quantitative features were extracted from a standardized MRI protocol (T1/T2-proton-density-weighting, turbo-inversion recovery magnitude, T2* multi-echo gradient-echo imaging, qDIXON-Vibe fat-quantification, T1 relaxometry, T1 mapping, diffusion-weighted and post-contrast sequences). A ranking of these features was generated through a Bayes network analysis with gain-ratio feature evaluation. Results: Forty-five patients were included in the analysis (mean age, 61.2 ± 14.2 years, 27 women [60.0%]). The highest-ranked ALT predictors were septation thickness (gain ratio merit [GRM] 0.623 ± 0.025, p = 0.0055), intra- and peritumoral STIR signal discrepancy (GRM 0.458 ± 0.046, p < 0.0001), orthogonal diameter (GRM 0.554 ± 0.188, p = 0.0013), contrast enhancement (GRM 0.235 ± 0.015, p = 0.0010) and maximum diameter (GRM 0.221 ± 0.075, p = 0.0009). The quantitative features did not provide a significant discriminatory value. The highest-ranked predictors were used to generate a five-tiered score for the identification of ALTs (correct classification rate 95.7% at a cut-off of three positive items, sensitivity 100.0%, specificity 94.9%, likelihood ratio 19.5). Conclusions: Several single MRI features have a substantial diagnostic value in the identification of ALT, yet a multiparametric approach by a simple combination algorithm may support radiologists in the identification of lipomatous tumors in need for further histological assessment.
Collapse
|
4
|
Klontzas ME, Karantanas AH. Research in Musculoskeletal Radiology: Setting Goals and Strategic Directions. Semin Musculoskelet Radiol 2022; 26:354-358. [PMID: 35654100 DOI: 10.1055/s-0042-1748319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The future of musculoskeletal (MSK) radiology is being built on research developments in the field. Over the past decade, MSK imaging research has been dominated by advancements in molecular imaging biomarkers, artificial intelligence, radiomics, and novel high-resolution equipment. Adequate preparation of trainees and specialists will ensure that current and future leaders will be prepared to embrace and critically appraise technological developments, will be up to date on clinical developments, such as the use of artificial tissues, will define research directions, and will actively participate and lead multidisciplinary research. This review presents an overview of the current MSK research landscape and proposes tangible future goals and strategic directions that will fortify the future of MSK radiology.
Collapse
Affiliation(s)
- Michail E Klontzas
- Department of Medical Imaging, University Hospital of Heraklion, Crete, Greece.,Advanced Hybrid Imaging Systems, Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece.,Department of Radiology, School of Medicine, University of Crete, Heraklion, Greece
| | - Apostolos H Karantanas
- Department of Medical Imaging, University Hospital of Heraklion, Crete, Greece.,Advanced Hybrid Imaging Systems, Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece.,Department of Radiology, School of Medicine, University of Crete, Heraklion, Greece
| |
Collapse
|
5
|
Cicolari D, Lizio D, Pedrotti P, Moioli MT, Lascialfari A, Mariani M, Torresin A. A method for T 1 and T 2 relaxation times validation and harmonization as a support to MRI mapping. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2022; 334:107110. [PMID: 34844075 DOI: 10.1016/j.jmr.2021.107110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/09/2021] [Accepted: 11/17/2021] [Indexed: 06/13/2023]
Abstract
We present a proof-of-concept study focusing on a method for the intra- and inter-center validation and harmonization of data obtained from MRI T1 and T2 maps. The method is based on a set of MnCl2 samples that provide in-scan ground-truth reference values regardless of the details of the MRI protocol. The relaxation times of MnCl2 aqueous solutions were first measured by means of an NMR laboratory relaxometer, as a function of concentration and temperature. The obtained T1 and T2 values, once renormalized at the scanner temperature, were used as reference values for the MRI mapping measurements of the MnCl2 relaxation times. By using different clinical MRI scanners and sequences, we found a good agreement for standard and turbo sequences (limits of agreement: 5% for IR, SE, IR-TSE; 10% for TSE), while an under-estimation and an over-estimation were found respectively for MOLLI and T2-prep TrueFISP, as already reported in the literature. The linearity of the relaxation rates with the concentration predicted by the Solomon-Bloembergen-Morgan theory was observed for every dataset at all temperatures, except for T2-prep TrueFISP maps results. Some preliminary results of an in vivo experiment are also presented.
Collapse
Affiliation(s)
- Davide Cicolari
- University of Pavia, Department of Physics, and INFN-Pavia Unit, Via Bassi 6, 27100 Pavia, Italy.
| | - Domenico Lizio
- ASST Grande Ospedale Metropolitano Niguarda, Department of Medical Physics, P.zza Ospedale Maggiore 3, 20162 Milan, Italy.
| | - Patrizia Pedrotti
- ASST Grande Ospedale Metropolitano Niguarda, Department of Cardiology, P.zza Ospedale Maggiore 3, 20162 Milan, Italy.
| | - Monica Teresa Moioli
- ASST Grande Ospedale Metropolitano Niguarda, Department of Medical Physics, P.zza Ospedale Maggiore 3, 20162 Milan, Italy.
| | - Alessandro Lascialfari
- University of Pavia, Department of Physics, and INFN-Pavia Unit, Via Bassi 6, 27100 Pavia, Italy.
| | - Manuel Mariani
- University of Pavia, Department of Physics, and INFN-Pavia Unit, Via Bassi 6, 27100 Pavia, Italy.
| | - Alberto Torresin
- ASST Grande Ospedale Metropolitano Niguarda, Department of Medical Physics, P.zza Ospedale Maggiore 3, 20162 Milan, Italy; University of Milan, Department of Physics, Via Celoria 16, 20133 Milan, Italy.
| |
Collapse
|
6
|
Kousi E, Messiou C, Miah A, Orton M, Haas R, Thway K, Hopkinson G, Zaidi S, Smith M, Barquin E, Moskovic E, Fotiadis N, Strauss D, Hayes A, Schmidt MA. Descriptive analysis of MRI functional changes occurring during reduced dose radiotherapy for myxoid liposarcomas. Br J Radiol 2021; 94:20210310. [PMID: 34545764 PMCID: PMC9328045 DOI: 10.1259/bjr.20210310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES Myxoid liposarcomas (MLS) show enhanced response to radiotherapy due to their distinctive vascular pattern and therefore could be effectively treated with lower radiation doses. This is a descriptive study to explore the use of functional MRI to identify response in a uniform cohort of MLS patients treated with reduced dose radiotherapy. METHODS 10 patients with MLS were imaged pre-, during, and post-radiotherapy receiving reduced dose radiotherapy and the response to treatment was histopathologically assessed post-radiotherapy. Apparent diffusion coefficient (ADC), T2* relaxation time, volume transfer constant (Ktrans), initial area under the gadolinium curve over 60 s (IAUGC60) and (Gd) were estimated for a central tumour volume. RESULTS All parameters showed large inter- and intrasubject variabilities. Pre-treatment (Gd), IAUGC60 and Ktrans were significantly different between responders and non-responders. Post-radiotherapy reductions from baseline were demonstrated for T2*, (Gd), IAUGC60 and Ktrans for responders. No statistically significant ADC differences were demonstrated between the two response groups. Significantly greater early tumour volume reductions were observed for responders. CONCLUSIONS MLS are heterogenous lesions, characterised by a slow gradual contrast-agent uptake. Pre-treatment vascular parameters, early changes to tumour volume, vascular parameters and T2* have potential in identifying response to treatment. The delayed (Gd) is a suitable descriptive parameter, relying simply on T1 measurements. Volume changes precede changes in MLS functionality and could be used to identify early response. ADVANCES IN KNOWLEDGE MLS are are characterised by slow gradual contrast-agent uptake. Measurement of the delayed contrast-agent uptake (Gd) is simple to implement and able to discriminate response.
Collapse
Affiliation(s)
- Evanthia Kousi
- MRI unit, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, UK
| | - Christina Messiou
- Radiology department, The Royal Marsden NHS Foundation Trust, London, UK
| | - Aisha Miah
- Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - Matthew Orton
- MRI unit, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, UK
| | - Rick Haas
- Sarcoma Unit, Department of Radiotherapy, The Netherlands Cancer Institute, Amsterdam, The Netherlands.,Department of Radiotherapy, Leiden University Medical Center, Leiden, The Netherlands
| | - Khin Thway
- Molecular pathology, The Royal Marsden NHS Foundation Trust, London, UK
| | - Georgina Hopkinson
- MRI unit, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, UK
| | - Shane Zaidi
- Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - Myles Smith
- Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | | | - Eleanor Moskovic
- Radiology department, The Royal Marsden NHS Foundation Trust, London, UK
| | - Nicos Fotiadis
- Department of Interventional Radiology, The Royal Marsden NHS Foundation trust, London, UK
| | - Dirk Strauss
- Sarcoma/Melanoma Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - Andrew Hayes
- Sarcoma/Melanoma Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - Maria A Schmidt
- MRI unit, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, UK
| |
Collapse
|