Visualization of microvasculature with contrast-enhanced ultrasound in the diagnosis of soft tissue tumors
https://doi.org/10.24884/1682-6655-2025-24-1-31-38
Abstract
Introduction. Ultrasound (US) is the first step in diagnosing soft tissue tumors (STT). However, standard US might not provide enough information to determine the nature of STT, particularly for rare or deep tumors. Malignant tumors are characterized by new blood vessel growth (neoangiogenesis), so technologies that can detect microcirculation and blood flow are crucial for diagnosing them. One of these technologies is contrast-enhanced ultrasound (CEUS). CEUS allows us to visualize the smallest blood vessels and evaluate their structure, making it a promising method for diagnosing changes in soft tissues. However, currently, there are no Russian studies published that explore its effectiveness. Objective. To determine the diagnostic effectiveness of CEUS in differentiating between benign and malignant STT and to compare its results with a study without contrast. Materials and methods. This retrospective study examined the results of scans from patients with STT who underwent multiparametric ultrasound examinations (mpUS). The mpUS used standard modes (Bmode, color Doppler mapping, sonoelastography) and contrast-enhanced ultrasound (CEUS). A crucial requirement was the availability of the pathology report, which acted as a reference standard. Results. Based on the results of the analysis of visualization and histological examination data, differential diagnostics of benign and malignant SST was performed; ultrasound without contrast enhancement (CE) had a sensitivity of 82% (CI 69–91 %), specificity of 61 % (CI 48–73 %), accuracy of 70 % (CI 61–78 %), positive predictive value of 63 % (CI 50–75 %), negative predictive value of 80 % (CI 66–90 %), and the area under the curve was 0.72 (good quality of the model). Adding the information obtained with CEUS significantly increased all the parameters: sensitivity – 94 % (CI 83–98%), specificity – 88 % (CI 78–95 %), accuracy – 91 % (CI 84–95%), positive predictive value – 87 % (CI 75–94 %), negative predictive value – 94 % (CI 85–98 %), and area under the curve – 0.91 (excellent quality of the model). Conclusions. The study revealed that ultrasound using only standard modes was significantly less accurate than CEUS. CEUS demonstrated a much higher ability to differentiate between benign and malignant STT. This makes CEUS a valuable tool for diagnosticians and oncologists. However, further research is needed to better understand the potential of CEUS and incorporate it into the diagnostic process for detecting soft tissue lesions, as well as in the program of control observations of the scar area after excision of sarcoma.
About the Authors
E. S. LyubimskayaRussian Federation
Lyubimskaya Elvira S. – Postgraduate Student, Scientific Department of Diagnostic and Interventional Radiology, Ultrasound Diagnostics Doctor, Radiation Diagnostics Department
68, Leningradskaya str., Saint Petersburg, 197758
E. A. Busko
Russian Federation
Busko Ekaterina A. – DSc Med., Assoc. Prof., Leading Researcher, Scientific Department of Diagnostic and Interventional Radiology, Ultrasound Diagnostics Doctor, Radiologist, Radiation Diagnostics Department; Professor, Radiation Diagnostics Department, Medical Institute
68, Leningradskaya str., Saint Petersburg, 197758
7-9, Universitetskaya nab., Saint Petersburg, 199034
A. B. Goncharova
Russian Federation
Goncharova Anastasia B. – Candidate (PhD) in Physics and Mathematics, Associate Professor, Department of Theory of Control Systems of Electrophysical Equipment
68, Leningradskaya str., Saint Petersburg, 197758
7-9, Universitetskaya nab., Saint Petersburg, 199034
R. A. Kadyrleev
Russian Federation
Kadyrleev Roman A. – Candidate (PhD) of Medical Sciences, Ultrasound Diagnostics Doctor, Radiation Diagnostics Department; Assistant, Radiologic Diagnostics Department, Medical Institute
68, Leningradskaya str., Saint Petersburg, 197758
7-9, Universitetskaya nab., Saint Petersburg, 199034
K. V. Kozubova
Russian Federation
Kozubova Ksenia V. – Ultrasound Diagnostics Doctor, Radiation Diagnostics Department
68, Leningradskaya str., Saint Petersburg, 197758
G. V. Zinoviev
Russian Federation
Zinoviev Grigory V. – Candidate (PhD) of Medical Sciences, Head, Surgical Department of Bone, Soft Tissue and Skin Tumors, Oncologist, Associate Professor, Department of Additional Professional Education
68, Leningradskaya str., Saint Petersburg, 197758
V. V. Shchukin
Russian Federation
Shchukin Vladimir V. – Candidate (PhD) of Medical Sciences, Oncologist
68, Leningradskaya str., Saint Petersburg, 197758
P. A. Isaeva
Russian Federation
Isaeva Patimat A. – Head, Diagnostic Department, Republican Diagnostic Center, Ultrasound Diagnostician, Radiologist, Oncologist
24, Gaidar Gadzhiev str., Makhachkala, 367008
O. I. Baikalova
Russian Federation
Baikalova Olga I. – Candidate (PhD) of Medical Sciences, Oncologist, Surgeon, Clinical Diagnostic Department
68, Leningradskaya str., Saint Petersburg, 197758
I. A. Burovik
Russian Federation
Burovik Ilya A. – Candidate (PhD) of Medical Sciences, Head, Department of Radiation Diagnostics, Researcher, Scientific Department of Diagnostic and Interventional Radiology, Radiologist; Associate Professor, Department of Radiologic Diagnostics, Medical Institute
68, Leningradskaya str., Saint Petersburg, 197758
68, Leningradskaya str., Saint Petersburg, 197758
S. S. Bagnenko
Russian Federation
Bagnenko Sergey S. – Dr. Sc. Med., Prof., Head, Scientific Department, Leading Researcher, Scientific Department of Diagnostic and Interventional Radiology; Professor, Department of Radiation Diagnostics and Biomedical Imaging
68, Leningradskaya str., Saint Petersburg, 197758
2, lit. A, Litovskaya str., Saint Petersburg, 194100
References
1. Dizon DS, Kamal AH. Cancer statistics 2024: All hands on deck. CA Cancer J. Clin. 2024;74:8–9. https://doi.org/10.3322/caac.21824.
2. Weskamp P, Ufton D, Drysch M, et al. Risk factors for occurrence and relapse of soft tissue sarcoma. Cancers (Basel). 2022;14:1273. https://doi.org/10.3390/cancers1405127.
3. Kallen ME, Hornick JL. The 2020 WHO Classification: What’s New in Soft Tissue Tumor Pathology? Am. J. Surg. Pathol. 2021;45:e1–e23.
4. Noebauer-Huhmann IM, Vanhoenacker FM, Vilanova JC, et al. Soft tissue tumor imaging in adults: whole-body staging in sarcoma, non-malignant entities requiring special algorithms, pitfalls and special imaging aspects. Guidelines 2024 from the European Society of Musculoskeletal Radiology (ESSR). European Radiology. 2025 Jan;35(1):351-359. https://doi.org/10.1007/s00330-024-10897-z.
5. Ezuddin NS, Pretell-Mazzini J, Yechieli RL, et al. Local recurrence of soft-tissue sarcoma: Issues in imaging surveillance strategy. Skelet. Radiol. 2018;47:1595–1606. https://doi.org/10.1007/s00256–018–2965–x.
6. Clinical Guidelines ″Soft Tissue Sarcomas″. Moscow, 2022. (In Russ.).
7. Hung EH, Griffith JF, Ng AW, et al. Ultrasound of musculoskeletal soft-tissue tumors superficial to the investing fascia. AJR Am J Roentgenol. 2014;202(6):W532–W540. https://doi.org/10.2214/AJR.13.11457.
8. Smolle MA, Sande MV, Callegaro D, et al. Individualizing follow-up strategies in high-grade soft tissue sarcoma with flexible parametric competing risk regression models. Cancers (Basel). 2020;12(1):47. https://doi.org/10.3390/cancers12010047.
9. Lyshchik A. Specialty Imaging: Fundamentals of CEUS: Specialty Imaging: Fundamentals of CEUS E-Book. 2019.
10. Wu M, Hu Y, Hang J, et al. Qualitative and Quantitative Contrast-Enhanced Ultrasound Combined with Conventional Ultrasound for Predicting the Malignancy of Soft Tissue Tumors. Ultrasound Med Biol. 2022; 48:237–247. https://doi.org/10.1016/j.ultrasmedbio.2021.10.007.
11. Kadyrleev RA, Busko EA, Kostromina EV, et al. Diagnostic algorithm of solid kidney lesions with contrast-enhanced ultrasound (review). Diagnostic radiology and radiotherapy. 2021;12(1):14–23. (In Russ.). https://doi.org/10.22328/2079-5343-2020-12-1-14-23.
12. Hu Y, Li A, Wu MJ, Ma Q, et al. Added value of contrast-enhanced ultrasound to conventional ultrasound for characterization of indeterminate soft-tissue tumors. The British Journal of Radiology. 2023;96(1141):20220404. https://doi.org/10.1259/bjr.20220404.
13. Itoh A, Ueno E, Tohno E, et al. Breast Disease: Clinical Application of US Elastography for Diagnosis. Radiology. 2006;239:341–350.https://doi.org/10.1148/radiol.2391041676.
14. Cohen J, Riishede I, Carlsen JF, et al. Can Strain Elastography Predict Malignancy of Soft Tissue Tumors in a Tertiary Sarcoma Center? Diagnostics. 2020;10:148. https://doi.org/10.3390/diagnostics10030148.
15. Bus’ko E.A., Mishchenko A.V., Semiglazov V.V., et al. Sposob differentsial’noi diagnostiki obrazovanii molochnoi zhelezy i myagkikh tkanei: Patent № 2634783 C1 Russian Federation, IPC A61B 8/08, A61B 8/06. Prioritetnaya spravka № 2016127079, 07.07.2016. (In Russ.)
Review
For citations:
Lyubimskaya E.S., Busko E.A., Goncharova A.B., Kadyrleev R.A., Kozubova K.V., Zinoviev G.V., Shchukin V.V., Isaeva P.A., Baikalova O.I., Burovik I.A., Bagnenko S.S. Visualization of microvasculature with contrast-enhanced ultrasound in the diagnosis of soft tissue tumors. Regional blood circulation and microcirculation. 2025;24(1):31-38. (In Russ.) https://doi.org/10.24884/1682-6655-2025-24-1-31-38