Tuberculosis of the Cuboid: A Case Report and Review of the Literature

Tubercular Osteomyelitis of Cuboid

INTRODUCTION

Tuberculosis (TB) affection of foot appears to be a rare clinical entity and accounts for <10% and 0.1-0.3% of osteoarticular and extrapulmonary TB, respectively. In TB foot, tarsal joints and calcaneum are more commonly affected followed by talus, distal end of first metatarsal, navicular, cuneiforms, and cuboid bones.

CASE REPORT

A 24-year-old female presented with pain and swelling over dorsum of the left foot from the past 8 months. On examination, there was a diffuse round shaped, solitary swelling measuring about 3.5 cm × 2.5 cm (approx.) with its surface smooth, non-pulsatile, non-fluctuant, non-transilluminant, non-compressible, and non-reducible present over dorsum of the left foot. Radiographic investigations revealed osteolytic lesion over the base of 3rd, 4th, and 5th metatarsals, middle and lateral cuneiforms and cuboid bones along with soft tissue swelling and diffuse transient osteopenia. Under spinal anesthesia, trucut biopsy of the mass revealed paucibacillary type of TB in histopathological examination. The patient was provided with ATT drugs in the form of intensive phase drugs (HRZE) daily for 4 months and continuation phase drugs (HRE) daily for 10 months according to the weight of the patient. The patient was followed up with erythrocyte sedimentation rate and C-reactive protein every 2 months once. The patient achieved a normal range of movements in the midtarsal joints except for the painful terminal range of movements. The patient was still under our follow-up.

CONCLUSION

The cuboid is the second most involved tarsal bone. The diagnosis is not always frankly evident, and a high index of suspicion has to be maintained. Surgical intervention should be limited to biopsy only as multidrug chemotherapy alone is sufficient to achieve complete healing.

Tuberculosis of the Cuboid in a 16-Month-Old Child: A Case Report

CASE

A 16-month-old male child presented with swelling over the dorsolateral aspect of the right foot associated with limp and no other constitutional symptoms. Tenderness and swelling were noted over the dorsolateral aspect, and radiographs revealed an eccentric lytic expansile lesion in the right cuboid. Biopsy of the lesion revealed necrotizing granulomas, and molecular testing later documented tuberculosis. The child received antitubercular medications and was relieved of symptoms in 6 weeks. Complete healing was observed after 12 months.

CONCLUSION

In developing countries, a high index of suspicion helps in the early diagnosis and appropriate management of tubercular osteomyelitis in children.

Role of arthroscopy and endoscopy in management of tuberculosis of the foot and ankle

Tuberculosis of the foot and ankle is rare but destructive. It can affect bones, joints and soft tissue and can mimic a wide range of acute and chronic infections or tumorous conditions. The primary treatment objectives for osteoarticular TB include curing the infection, limiting deformity, maintaining mobility, and reducing discomfort. Chemotherapy remains the mainstay of treatment in acute stage. Indications of surgery include biopsy and debridement in early stages to reduce the tuberculosis load and enable better penetration of anti-tuberculous drugs. Other reported indications for surgery in early stage of TB foot and ankle include resection of lesion not responding to chemotherapy and debridement of lesions close to the articular surface, as surgical debridement might halt progression and joint invasion, avoiding worsening of the prognosis. The success of arthroscopic treatment for infectious arthritis with decreased morbidity and postoperative pain makes arthroscopy an excellent alternative to open surgery. The advantages such as minor trauma, short hospitalization time and short post operative rehabilitation period as well as good cosmetic and therapeutic results should lead to a more frequent use of arthroscopy as early as possible as an adjuvant for the tuberculous joint. However, tuberculosis can involve any joints, bone and soft tissue (tendon) of the foot and ankle and surgeons should equip with various arthroscopic and endoscopic techniques in order to deal with the various situations of tuberculosis of the foot and ankle.

Diagnosing tuberculosis with a novel support vector machine-based artificial immune recognition system

Background:

Tuberculosis (TB) is a major global health problem, which has been ranked as the second leading cause of death from an infectious disease worldwide. Diagnosis based on cultured specimens is the reference standard, however results take weeks to process. Scientists are looking for early detection strategies, which remain the cornerstone of tuberculosis control. Consequently there is a need to develop an expert system that helps medical professionals to accurately and quickly diagnose the disease. Artificial Immune Recognition System (AIRS) has been used successfully for diagnosing various diseases. However, little effort has been undertaken to improve its classification accuracy.

Objectives:

In order to increase the classification accuracy of AIRS, this study introduces a new hybrid system that incorporates a support vector machine into AIRS for diagnosing tuberculosis.

Patients and Methods:

Patient epacris reports obtained from the Pasteur laboratory of Iran were used as the benchmark data set, with the sample size of 175 (114 positive samples for TB and 60 samples in the negative group). The strategy of this study was to ensure representativeness, thus it was important to have an adequate number of instances for both TB and non-TB cases. The classification performance was measured through 10-fold cross-validation, Root Mean Squared Error (RMSE), sensitivity and specificity, Youden’s Index, and Area Under the Curve (AUC). Statistical analysis was done using the Waikato Environment for Knowledge Analysis (WEKA), a machine learning program for windows.

Results:

With an accuracy of 100%, sensitivity of 100%, specificity of 100%, Youden’s Index of 1, Area Under the Curve of 1, and RMSE of 0, the proposed method was able to successfully classify tuberculosis patients.

Conclusions:

There have been many researches that aimed at diagnosing tuberculosis faster and more accurately. Our results described a model for diagnosing tuberculosis with 100% sensitivity and 100% specificity. This model can be used as an additional tool for experts in medicine to diagnose TBC more accurately and quickly.