Determination of the Diagnostic Accuracy of Magnetic Resonance Imaging in Prediction of Malignancy of the Musculoskeletal System in Suspected Cases Taking Histopathology as a Gold Standard

Main Article Content

Rabia Mahnoor Khan
Dr. Nauman Al Qamari
Dr. Ammarah Afaq
Dr. Anila Rahim
Dr. Muhammad Ahsan Khan

Keywords

MRI, musculoskeletal system, bone tumour , malignancy

Abstract

Introduction: Magnetic resonance imaging (MRI) has become essential for the preoperative assessment and treatment monitoring of patients with musculoskeletal tumors.


Objective: To determine the diagnostic accuracy of magnetic resonance imaging in prediction of malignancy of the musculoskeletal system in suspected cases taking histopathology as a gold standard.


Methods: The study conducted a Cross-sectional study on patients who presented with suspected musculoskeletal tumors at the Department of Radiology, Ojha Campus, Dow University, Karachi, from April 2021 to October 2021. MRI scans were conducted using a 1.5 T Siemens superconducting system, capturing T1-weighted (T1W) and Short Tau Inversion Recovery (STIR) images in sagittal or coronal planes, followed by T2-weighted (T2W) and post-contrast T1W images in axial planes. Tumors were classified as malignant or non-malignant based on specific MRI characteristics. Sensitivity, specificity, positive and negative predictive values and diagnostic accuracy were calculated taking histopathological finings as gold standard. Data were compiled and analyzed using SPSS version 23.0.


Results: A total of 336 patients were studied. The mean age of patients was 42.69±15.72 years, average symptom duration was 2.89±1.14 weeks and mean tumor size was 1.57±0.77 cm. Of the participants, 173 (51.5%) were male, and 163 (48.5%) were female. The sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy were recorded as 90.5%, 90.4%, 94%, 84.9%, and 90.4%, respectively.


Conclusion: Magnetic resonance imaging was observed as a sensitive and uncomplicated imaging modality for the detection of musculoskeletal malignancy with acceptable accuracy.

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References

1. Bergovec M, Kubat O, Smerdelj M, Seiwerth S, Bonevski A, Orlic D. Epidemiology of musculoskeletal tumours in a national referral orthopaedic department. A study of 3482 cases.Cancer Epidemiol. 2015;39(3):298-302.
2. Lange MB, Nielsen ML, Andersen JD, Lilholt HJ, Vyberg M, Petersen LJ.Diagnostic accuracy of imaging methods for the diagnosis of skeletal malignancies: A retrospective analysis against a pathology-proven reference.Eur J Radiol. 2016;85(1):61-67.
3. Bhuyan MH, Bhuyan RK. How accurate is MRI in the prediction of musculoskeletal tumours-A prospective evaluation. Int J Biomed Res. 2015:942-6.
4. Daniel A, Ullah E, Wahab S, Kumar V. Relevance of MRI in the prediction of malignancy of musculoskeletal system-a prospective evaluation. BMC musculoskeletal disorders. 2009;10(1):125.
5. Sen J, Agarwal S, Singh S, Sen R, Goel S. Benign vs malignant soft tissue neoplasms: Limitations of magnetic resonance imaging. Indian J Cancer 2010;47:280-6.
6. Daniel A, Ullah E, Wahab S, Kumar V. Relevance of MRI in prediction of malignancy of musculoskeletal system-A prospective evaluation. BMC musculoskeletal disorders. 2009 Dec;10:1-7.
7. Baweja S, Arora R, Singh S, Sharma A, Narang P, Ghuman S, Kapoor SK, Puri S. Evaluation of bone tumors with magnetic resonance imaging and correlation with surgical and gross pathological findings. Indian J Radiol Imaging. 2008;16:611–8
8. ALI S, MAQSOOD S, AKHTAR S, HAMEED N, GHAFFAR SA, HUSSAIN M. Diagnostic Accuracy of Magnetic Resonance Imaging in Predicting Malignancy in Musculoskeletal Tumors Taking Histopathology as Gold Standard. Age (years).;42:10-6.
9. Fatima S, Waheed S, Khan MI. Diagnostic accuracy of MR mammography in diagnosing malignant breast lesions taking histopathology as gold standard. Journal of the College of Physicians and Surgeons Pakistan. 2019 Jan 1;29(1):16-8.
10. Daniel A, Ullah E, Wahab S, Kumar V. Relevance of MRI in prediction of malignancy of musculoskeletal system-A prospective evaluation. BMC musculoskeletal disorders 2009;10(1):125.
11. Shirin M, Rahman S, Chowdhury P, Showkat MS, Karki BP, Al Azad MS. Accuracy of diffusion-weighted magnetic resonance imaging in diagnosing malignant musculoskeletal tumours. Bangabandhu Sheikh Mujib Medical University Journal. 2024 Jun 29;17(2):e72248-.
12. Boruah DK, Gogoi B, Patni RS, Sarma K, Hazarika K. Added value of diffusion-weighted magnetic resonance imaging in differentiating musculoskeletal tumors using sensitivity and specificity: A retrospective study and review of literature. Cureus. 2021 Jan;13(1).
13. Tabassum S, Haider S. Diagnostic accuracy of diffusion weighted MRI in differentiating malignant from benign liver lesions taking histopathology as gold standard. Pakistan Journal of Medical Sciences. 2024 Mar;40(4):669.
14. Ankita G, Mannan N, Jaipal U. 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. 2018;6(1).
15. Hazarika M, Bhuyan RK, Bhuyan R. How accurate is MRI in prediction of musculoskeletal tumors: a prospective evaluation. Int J Biomed Res. 2015;6(12):942-6.
16. Hassan S, Khan MT, Ghafoor M, Raman R, Aslam N, Mumtaz A, Manzoor H. 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. 2024 May 28;14(2).