Diagnostic Accuracy of Magnetic Resonance Imaging in Diagnosing Malignant Musculoskeletal Tumours, Taking Histopathology as Gold Standard

Authors

  • Fatimah Liaquat Department of Radiology, Madinah Teaching Hospital, Faisalabad, Punjab, Pakistan.
  • Nayab Alia Department of Radiology, Madinah Teaching Hospital, Faisalabad, Punjab, Pakistan.
  • Maham Ayub Department of Radiology, Madinah Teaching Hospital, Faisalabad, Punjab, Pakistan.
  • Mishal Sikander Department of Radiology, Madinah Teaching Hospital, Faisalabad, Punjab, Pakistan.

DOI:

https://doi.org/10.70749/ijbr.v3i6.1496

Keywords:

Musculoskeletal Tumours, Magnetic Resonance Imaging, Sensitivity

Abstract

Objective: The rationale of this study is to determine the capability of MRI in diagnosing malignant musculoskeletal tumours, by measuring the sensitivity and specificity of MRI for musculoskeletal tumours. Study design: Cross-sectional (validation) study. Settings: Department of Radiology Madinah Teaching Hospital, Faisalabad. Duration of study: 1st January 2024 to 30th June 2024. Methodology: The study comprised 120 patients aged 20 to 70 years presenting suspected musculoskeletal tumors of duration >4 weeks. Patients taking chemotherapy for any type of lesions, liver cirrhosis, undergone orthopedic surgery, claustrophobic patients and with cardiac pacemakers were excluded. Next, a 3.0 T MRI machine was used for magnetic resonance imaging.  Axial and coronal T1WI and axial and sagittal fat-suppressed T2WI were among the traditional MRI procedures. The consultant radiologist assessed the MRI results for malignant musculoskeletal tumors (present or absent) based on the following criteria: big diameter (>6 cm), heterogeneous signal intensity on T1-weighted MRI, high signal intensity on T2-weighted MRI, and peritumoral edema. Following a biopsy, the histology report and the MRI results were compared for each patient. Results: MRI sensitivity was (93.85%), specificity (87.27%), PPV (89.71%), NPV (92.31%), and diagnostic accuracy (90.83%) in the diagnosis of malignant musculoskeletal tumours. Conclusion: According to the study's findings, MRI is an extremely sensitive and precise imaging technique for diagnosis of malignant musculoskeletal tumours.

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References

De Salvo, S., Pavone, V., Coco, S., Dell’Agli, E., Blatti, C., & Testa, G. (2022). Benign Bone Tumors: An Overview of What We Know Today. Journal of Clinical Medicine, 11(3), 699.

https://doi.org/10.3390/jcm11030699

Shu, H., Ma, Q., Li, A., Wang, P., Gao, Y., Yao, Q., Hu, Y., & Ye, X. (2022). Diagnostic Performance of US and MRI in Predicting Malignancy of Soft Tissue Masses: Using a Scoring System. Frontiers in Oncology, 12.

https://doi.org/10.3389/fonc.2022.853232

Lee, J. H., Yoon, Y. C., Jin, W., Cha, J. G., & Kim, S. (2019). Development and Validation of Nomograms for Malignancy Prediction in Soft Tissue Tumors Using Magnetic Resonance Imaging Measurements. Scientific Reports, 9(1).

https://doi.org/10.1038/s41598-019-41230-0

Griffith, J. F., Stefanie, Esther, Raymond, Leung, J., Alex, Cina, & Ryan. (2020). Accuracy of ultrasound in the characterisation of deep soft tissue masses: a prospective study. European Radiology, 30(11), 5894–5903.

https://doi.org/10.1007/s00330-020-07002-5

Baloji, A., Chandra, R., Bagri, N., Misra, R., K, R., & Prabhu, S. S. (2020). Diagnostic accuracy of an integrated approach using conventional ultrasonography, and Doppler and strain elastography in the evaluation of superficial soft tissue lesions. Polish Journal of Radiology, 85(1), 293–300.

https://doi.org/10.5114/pjr.2020.96961

Gemescu, I. N., Thierfelder, K. M., Rehnitz, C., & Weber, M. A. (2019). Imaging features of bone tumors: conventional radiographs and MR imaging correlation. Magnetic Resonance Imaging Clinics, 27(4), 753-767.

https://www.mri.theclinics.com/article/S1064-9689(19)30063-7/abstract

Azad, H., Ahmed, A., Zafar, I., Bhutta, M. R., Rabbani, M. A., Kc, H. R., & Bhutta, M. R. (2022). X-ray and MRI correlation of bone tumors using histopathology as gold standard. Cureus, 14(7).

https://assets.cureus.com/uploads/original_article/pdf/99368/20220825-647-1b1t8jo.pdf

ALI, S., MAQSOOD, S., AKHTAR, S., HAMEED, N., GHAFFAR, S. A., & HUSSAIN, M. Diagnostic Accuracy of Magnetic Resonance Imaging in Predicting Malignancy in Musculoskeletal Tumors Taking Histopathology as Gold Standard. Age (years), 42, 10-16.

https://doi.org/10.53350/pjmhs211571603

Farooq, A., Zameer, S., Khadim, R., & Manzoor, A. (2021). DIAGNOSTIC ACCURACY OF MAGNETIC RESONANCE IMAGING IN DIAGNOSING BONE TUMORS KEEPING HISTOPATHOLOGICAL CORRELATION AS GOLD STANDARD. PAFMJ, 71(Suppl-1), S207-12.

https://doi.org/10.51253/pafmj.v71isuppl-1.2961

Guirguis, M., Sharan, G., Wang, J., & Chhabra, A. (2022). Diffusion-weighted MR imaging of musculoskeletal tissues: incremental role over conventional MR imaging in bone, soft tissue, and nerve lesions. BJR| Open, 4(1), 20210077.

https://doi.org/10.1259/bjro.20210077

Azad, H., Ahmed, A., Zafar, I., Bhutta, M. R., Rabbani, M. A., Kc, H. R., & Bhutta, M. R. (2022). X-ray and MRI correlation of bone tumors using histopathology as gold standard. Cureus, 14(7).

https://assets.cureus.com/uploads/original_article/pdf/99368/20220825-647-1b1t8jo.pdf

Fatima, S., Waheed, S., & Khan, M. I. (2019). Diagnostic Accuracy of MR Mammography in Diagnosing Malignant Breast Lesions Taking Histopathology as Gold Standard. Journal of the College of Physicians and Surgeons Pakistan, 29(1), 16–18.

https://doi.org/10.29271/jcpsp.2019.01.16

Shirin, M., Rahman, S., Chowdhury, P., Showkat, M. S., Karki, B. P., & Al Azad, M. S. (2024). Accuracy of diffusion-weighted magnetic resonance imaging in diagnosing malignant musculoskeletal tumours. Bangabandhu Sheikh Mujib Medical University Journal, 17(2), e72248-e72248.

https://doi.org/10.3329/bsmmuj.v17i2.72248

Boruah, D. K., Gogoi, B., Patni, R. S., Sarma, K., & Hazarika, K. (2021). Added value of diffusion-weighted magnetic resonance imaging in differentiating musculoskeletal tumors using sensitivity and specificity: a retrospective study and review of literature. Cureus, 13(1).

https://doi.org/10.7759/cureus.12422

Dodani, J., Tabassum, S., Haider, S., & Haania, N. (2024). Diagnostic accuracy of diffusion weighted MRI in differentiating malignant from benign liver lesions taking histopathology as gold standard. Pakistan Journal of Medical Sciences, 40(4).

https://doi.org/10.12669/pjms.40.4.7738

Ankita, G, Mannan, N, Jaipal, U. (2018). Diagnostic accuracy of contrast-enhanced magnetic resonance imaging in bone tumors and its association with surgical findings assuming histopathological findings as gold standard. Int J Sci Res, 6(1).

Bhuyan, M. H., & Bhuyan, R. K. (2015). How accurate is MRI in prediction of musculoskeletal tumors-A prospective evaluation. Int J Biomed Res, 6(12), 942-6.

Hassan, S., Khan, M. T., Ghafoor, M., Raman, R., Aslam, N., Mumtaz, A., & Manzoor, H. (2024). Diagnostic Accuracy of Magnetic Resonance Imaging in Detecting Parametrial Invasion in Cervical Cancer Patients, Taking Histopathology as the Gold Standard. Journal of The Society of Obstetricians and Gynaecologists of Pakistan, 14(2).

https://www.jsogp.net/index.php/jsogp/article/view/675

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Published

2025-06-11

How to Cite

Liaquat, F., Alia, N., Ayub, M., & Sikander, M. (2025). Diagnostic Accuracy of Magnetic Resonance Imaging in Diagnosing Malignant Musculoskeletal Tumours, Taking Histopathology as Gold Standard. Indus Journal of Bioscience Research, 3(6), 114-117. https://doi.org/10.70749/ijbr.v3i6.1496