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DOI: 10.4103/wjnm.WJNM_119_18
Advanced modalities of molecular imaging in precision medicine for musculoskeletal malignancies
Authors

Abstract
Musculoskeletal malignancies consist of a heterogenous group of mesenchymal tumors, often with high inter- and intratumoral heterogeneity. The early and accurate diagnosis of these malignancies can have a substantial impact on optimal treatment and quality of life for these patients. Several new applications and techniques have emerged in molecular imaging, including advances in multimodality imaging, the development of novel radiotracers, and advances in image analysis with radiomics and artificial intelligence. This review highlights the recent advances in molecular imaging modalities and the role of non-invasive imaging in evaluating tumor biology in the era of precision medicine.
Keywords
Artificial intelligence - heterogeneity - molecular imaging - musculoskeletal - precision medicine - radiomicsFinancial support and sponsorship
Nil.
Publikationsverlauf
Eingereicht: 25. Dezember 2018
Angenommen: 18. Mai 2019
Artikel online veröffentlicht:
22. April 2022
© 2019. Sociedade Brasileira de Neurocirurgia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Forouzanfar MH, Afshin A, Alexander LT, Anderson HR, Bhutta ZA, Biryukov S, et al.
Global, regional, and national comparative risk assessment of 79 behavioural, environmental
and occupational, and metabolic risks or clusters of risks, 1990-2015: A systematic
analysis for the global burden of disease study 2015. Lancet 2016;388:1659-724.
Reference Ris Wihthout Link
- 2 Alic L, Niessen WJ, Veenland JF. Quantification of heterogeneity as a biomarker in
tumor imaging: A systematic review. PLoS One 2014;9:e110300.
Reference Ris Wihthout Link
- 3 Thakur ML. Genomic biomarkers for molecular imaging: Predicting the future. In: Seminars
in nuclear medicine WB Saunders; 2009. p. 236-46.
Reference Ris Wihthout Link
- 4 Sutherland KD, Visvader JE. Cellular mechanisms underlying intertumoral heterogeneity.
Trends Cancer 2015;1:15-23.
Reference Ris Wihthout Link
- 5 Gatenby RA, Grove O, Gillies RJ. Quantitative imaging in cancer evolution and ecology.
Radiology 2013;269:8-15.
Reference Ris Wihthout Link
- 6 Chowdhury R, Ganeshan B, Irshad S, Lawler K, Eisenblätter M, Milewicz H, et al. The
use of molecular imaging combined with genomic techniques to understand the heterogeneity
in cancer metastasis. Br J Radiol 2014;87:20140065.
Reference Ris Wihthout Link
- 7 Cormier JN, Pollock RE. Soft tissue sarcomas. CA Cancer J Clin 2004;54:94-109.
Reference Ris Wihthout Link
- 8 Uchida A, Seto M, Hashimoto N, Araki N. Molecular diagnosis and gene therapy in musculoskeletal
tumors. J Orthop Sci 2000;5:418-23.
Reference Ris Wihthout Link
- 9 Mankoff DA. A definition of molecular imaging. J Nucl Med 2007;48:18N, 21N.
Reference Ris Wihthout Link
- 10 Ghasemi M, Nabipour I, Omrani A, Alipour Z, Assadi M. Precision medicine and molecular
imaging: New targeted approaches toward cancer therapeutic and diagnosis. Am J Nucl
Med Mol Imaging 2016;6:310-27.
Reference Ris Wihthout Link
- 11 Blasberg RG, Tjuvajev JG. Molecular-genetic imaging: Current and future perspectives.
J Clin Invest 2003;111:1620-9.
Reference Ris Wihthout Link
- 12 Pysz MA, Gambhir SS, Willmann JK. Molecular imaging: Current status and emerging
strategies. Clin Radiol 2010;65:500-16.
Reference Ris Wihthout Link
- 13 James ML, Gambhir SS. A molecular imaging primer: Modalities, imaging agents, and
applications. Physiol Rev 2012;92:897-965.
Reference Ris Wihthout Link
- 14 Cai W, Olafsen T, Zhang X, Cao Q, Gambhir SS, Williams LE, et al. PET imaging of
colorectal cancer in xenograft-bearing mice by use of an 18F-labeled T84.66 anti-carcinoembryonic
antigen diabody. J Nucl Med 2007;48:304-10.
Reference Ris Wihthout Link
- 15 Liu K, Wang MW, Lin WY, Phung DL, Girgis MD, Wu AM, et al. Molecular imaging probe
development using microfluidics. Curr Org Synth 2011;8:473-87.
Reference Ris Wihthout Link
- 16 Catalano OA, Nicolai E, Rosen BR, Luongo A, Catalano M, Iannace C, et al. Comparison
of CE-FDG-PET/CT with CE-FDG-PET/MR in the evaluation of osseous metastases in breast
cancer patients. Br J Cancer 2015;112:1452-60.
Reference Ris Wihthout Link
- 17 Sudoł-Szopińska I, Cwikła JB. Current imaging techniques in rheumatology: MRI, scintigraphy
and PET. Pol J Radiol 2013;78:48-56.
Reference Ris Wihthout Link
- 18 Palestro CJ. Radionuclide imaging of musculoskeletal infection: A review. J Nucl
Med 2016;57:1406-12.
Reference Ris Wihthout Link
- 19 Brown ML, O'Connor MK, Hung JC, Hayostek RJ. Technical aspects of bone scintigraphy.
Radiol Clin North Am 1993;31:721-30.
Reference Ris Wihthout Link
- 20 Palestro CJ. The current role of gallium imaging in infection. In: Seminars in Nuclear
Medicine. WB Saunders: Elsevier; 1994.
Reference Ris Wihthout Link
- 21 Saha S, Burke C, Desai A, Vijayanathan S, Gnanasegaran G. SPECT-CT: Applications
in musculoskeletal radiology. Br J Radiol 2013;86:20120519.
Reference Ris Wihthout Link
- 22 Buck AK, Nekolla S, Ziegler S, Beer A, Krause BJ, Herrmann K, et al. SPECT/CT. J
Nucl Med 2008;49:1305-19.
Reference Ris Wihthout Link
- 23 Hasegawa BH, Wong KH, Iwata K, Barber WC, Hwang AB, Sakdinawat AE, et al. Dual-modality
imaging of cancer with SPECT/CT. Technol Cancer Res Treat 2002;1:449-58.
Reference Ris Wihthout Link
- 24 Bybel B, Brunken RC, DiFilippo FP, Neumann DR, Wu G, Cerqueira MD, et al. SPECT/CT
imaging: Clinical utility of an emerging technology. Radiographics 2008;28:1097-113.
Reference Ris Wihthout Link
- 25 Lu SJ, Ul Hassan F, Vijayanathan S, Gnanasegaran G. Radionuclide bone SPECT/CT in
the evaluation of knee pain: Comparing two-phase bone scintigraphy, SPECT and SPECT/CT.
Br J Radiol 2018;91:20180168.
Reference Ris Wihthout Link
- 26 Palestro CJ, Love C, Schneider R. The evolution of nuclear medicine and the musculoskeletal
system. Radiol Clin North Am 2009;47:505-32.
Reference Ris Wihthout Link
- 27 Pachowicz M, Staśkiewicz G, Florek K, Chrapko BE. The usefulness of SPECT/CT in characterization
of skeletal and soft tissue lesions – Report of two cases. Nucl Med Rev Cent East
Eur 2014;17:29-34.
Reference Ris Wihthout Link
- 28 Upadhyay B, Mo J, Beadsmoore C, Marshall T, Toms A, Buscombe J. Technetium-99m methylene
diphosphonate single-photon emission computed tomography/computed tomography of the
foot and ankle. World J Nucl Med 2017;16:88-100.
Reference Ris Wihthout Link
- 29 Aboagye EO, Kraeber-Bodéré F. Highlights lecture EANM 2016: “Embracing molecular
imaging and multi-modal imaging: A smart move for nuclear medicine towards personalized
medicine”. Eur J Nucl Med Mol Imaging 2017;44:1559-74.
Reference Ris Wihthout Link
- 30 Jadvar, H, Velez E, Desai B, Ji L, Colletti PM, Quinn DI. Prediction of time to hormonal
treatment failure in metastatic castrate-sensitive prostate cancer with (18)F-FDG
PET/CT. J Nucl Med 2019.
Reference Ris Wihthout Link
- 31 Piperkova E, Mikhaeil M, Mousavi A, Libes R, Viejo-Rullan F, Lin H, et al. Impact
of PET and CT in PET/CT studies for staging and evaluating treatment response in bone
and soft tissue sarcomas. Clin Nucl Med 2009;34:146-50.
Reference Ris Wihthout Link
- 32 Feldman F, van Heertum R, Manos C. 18FDG PET scanning of benign and malignant musculoskeletal
lesions. Skeletal Radiol 2003;32:201-8.
Reference Ris Wihthout Link
- 33 Hawkins DS, Rajendran JG, Conrad EU 3rd, Bruckner JD, Eary JF. Evaluation of chemotherapy
response in pediatric bone sarcomas by [F-18]-fluorodeoxy-D-glucose positron emission
tomography. Cancer 2002;94:3277-84.
Reference Ris Wihthout Link
- 34 Hawkins DS, Conrad EU 3rd, Butrynski JE, Schuetze SM, Eary JF. [F-18]-fluorodeoxy-D-glucose-positron
emission tomography response is associated with outcome for extremity osteosarcoma
in children and young adults. Cancer 2009;115:3519-25.
Reference Ris Wihthout Link
- 35 Treglia G, Salsano M, Stefanelli A, Mattoli MV, Giordano A, Bonomo L, et al. Diagnostic
accuracy of18 F-FDG-PET and PET/CT in patients with ewing sarcoma family tumours:
A systematic review and a meta-analysis. Skeletal Radiol 2012;41:249-56.
Reference Ris Wihthout Link
- 36 Basu S, Kwee TC, Gatenby R, Saboury B, Torigian DA, Alavi A, et al. Evolving role
of molecular imaging with PET in detecting and characterizing heterogeneity of cancer
tissue at the primary and metastatic sites, a plausible explanation for failed attempts
to cure malignant disorders. Eur J Nucl Med Mol Imaging 2011;38:987-91.
Reference Ris Wihthout Link
- 37 O'Sullivan PJ, Rohren EM, Madewell JE. Positron emission tomography-CT imaging in
guiding musculoskeletal biopsy. Radiol Clin North Am 2008;46:475-86, v.
Reference Ris Wihthout Link
- 38 Thomas L, Balmus C, Ahmadzadehfar H, Essler M, Strunk H, Bundschuh RA, et al. Assessment
of bone metastases in patients with prostate cancer-A comparison between 99mTc-bone-scintigraphy
and [68Ga]Ga-PSMA PET/CT. Pharmaceuticals (Basel) 2017;10. pii: E68.
Reference Ris Wihthout Link
- 39 Hongtao L, Hui Z, Bingshun W, Xiaojin W, Zhiyu W, Shuier Z, et al. 18F-FDG positron
emission tomography for the assessment of histological response to neoadjuvant chemotherapy
in osteosarcomas: A meta-analysis. Surg Oncol 2012;21:e165-70.
Reference Ris Wihthout Link
- 40 Benz MR, Evilevitch V, Allen-Auerbach MS, Eilber FC, Phelps ME, Czernin J, et al.
Treatment monitoring by 18F-FDG PET/CT in patients with sarcomas: Interobserver variability
of quantitative parameters in treatment-induced changes in histopathologically responding
and nonresponding tumors. J Nucl Med 2008;49:1038-46.
Reference Ris Wihthout Link
- 41 Bischoff M, Bischoff G, Buck A, von Baer A, Pauls S, Scheffold F, et al. Integrated
FDG-PET-CT: Its role in the assessment of bone and soft tissue tumors. Arch Orthop
Trauma Surg 2010;130:819-27.
Reference Ris Wihthout Link
- 42 Mahajan A, Azad GK, Cook GJ. PET imaging of skeletal metastases and its role in personalizing
further management. PET Clin 2016;11:305-18.
Reference Ris Wihthout Link
- 43 van Kruchten M, Glaudemans AW, de Vries EF, Beets-Tan RG, Schröder CP, Dierckx RA,
et al. PET imaging of estrogen receptors as a diagnostic tool for breast cancer patients
presenting with a clinical dilemma. J Nucl Med 2012;53:182-90.
Reference Ris Wihthout Link
- 44 Kandathil A, Subramaniam RM. PET/Computed tomography and precision medicine: Musculoskeletal
sarcoma. PET Clin 2017;12:475-88.
Reference Ris Wihthout Link
- 45 Iagaru A, Mittra E, Yaghoubi SS, Dick DW, Quon A, Goris ML, et al. Novel strategy
for a cocktail 18F-fluoride and 18F-FDG PET/CT scan for evaluation of malignancy:
Results of the pilot-phase study. J Nucl Med 2009;50:501-5.
Reference Ris Wihthout Link
- 46 Samarin A, Burger C, Wollenweber SD, Crook DW, Burger IA, Schmid DT, et al. PET/MR
imaging of bone lesions – Implications for PET quantification from imperfect attenuation
correction. Eur J Nucl Med Mol Imaging 2012;39:1154-60.
Reference Ris Wihthout Link
- 47 Eiber M, Takei T, Souvatzoglou M, Mayerhoefer ME, Fürst S, Gaertner FC, et al. Performance
of whole-body integrated 18F-FDG PET/MR in comparison to PET/CT for evaluation of
malignant bone lesions. J Nucl Med 2014;55:191-7.
Reference Ris Wihthout Link
- 48 Kogan F, Fan AP, Gold GE. Potential of PET-MRI for imaging of non-oncologic musculoskeletal
disease. Quant Imaging Med Surg 2016;6:756-71.
Reference Ris Wihthout Link
- 49 Lambin P, van Stiphout RG, Starmans MH, Rios-Velazquez E, Nalbantov G, Aerts HJ,
et al. Predicting outcomes in radiation oncology – Multifactorial decision support
systems. Nat Rev Clin Oncol 2013;10:27-40.
Reference Ris Wihthout Link
- 50 Orndal C, Rydholm A, Willén H, Mitelman F, Mandahl N. Cytogenetic intratumor heterogeneity
in soft tissue tumors. Cancer Genet Cytogenet 1994;78:127-37.
Reference Ris Wihthout Link
- 51 Sala E, Mema E, Himoto Y, Veeraraghavan H, Brenton JD, Snyder A, et al. Unravelling
tumour heterogeneity using next-generation imaging: Radiomics, radiogenomics, and
habitat imaging. Clin Radiol 2017;72:3-10.
Reference Ris Wihthout Link
- 52 Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RG, Granton P,
et al. Radiomics: Extracting more information from medical images using advanced feature
analysis. Eur J Cancer 2012;48:441-6.
Reference Ris Wihthout Link
- 53 Avanzo M, Stancanello J, El Naqa I. Beyond imaging: The promise of radiomics. Phys
Med 2017;38:122-39.
Reference Ris Wihthout Link
- 54 Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images are more than pictures, they
are data. Radiology 2016;278:563-77.
Reference Ris Wihthout Link
- 55 van Griethuysen JJ, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, et al. Computational
radiomics system to decode the radiographic phenotype. Cancer Res 2017;77:e104-7.
Reference Ris Wihthout Link
- 56 Choi ER, Lee HY, Jeong JY, Choi YL, Kim J, Bae J, et al. Quantitative image variables
reflect the intratumoral pathologic heterogeneity of lung adenocarcinoma. Oncotarget
2016;7:67302-13.
Reference Ris Wihthout Link
- 57 Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, et al. Decoding
tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat
Commun 2014;5:4006.
Reference Ris Wihthout Link
- 58 Vallières M, Freeman CR, Skamene SR, El Naqa I. A radiomics model from joint FDG-PET
and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas
of the extremities. Phys Med Biol 2015;60:5471-96.
Reference Ris Wihthout Link
- 59 Corino VD, Montin E, Messina A, Casali PG, Gronchi A, Marchianò A, et al. Radiomic
analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions.
J Magn Reson Imaging 2018;47:829-40.
Reference Ris Wihthout Link
- 60 Beam AL, Kohane IS. Translating artificial intelligence into clinical care. JAMA
2016;316:2368-9.
Reference Ris Wihthout Link
- 61 Darcy AM, Louie AK, Roberts LW. Machine learning and the profession of medicine.
JAMA 2016;315:551-2.
Reference Ris Wihthout Link
- 62 Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare:
Past, present and future. Stroke Vasc Neurol 2017;2:230-43.
Reference Ris Wihthout Link
- 63 Murff HJ, FitzHenry F, Matheny ME, Gentry N, Kotter KL, Crimin K, et al. Automated
identification of postoperative complications within an electronic medical record
using natural language processing. JAMA 2011;306:848-55.
Reference Ris Wihthout Link
- 64 Crown WH. Potential application of machine learning in health outcomes research and
some statistical cautions. Value Health 2015;18:137-40.
Reference Ris Wihthout Link