Open access Journal
Pulmonary Tuberculosis CT-Scan Features and Sputum Smear in Tertiary Referral Hospital
Nusantara Medical Science Journal · Vol. ume No. 2 (2021) · pp. 80–86
- ISSN
- 2597-7288, 2460-9757
- Published
- 2021-04-07
- Publisher
- Faculty of Medicine, Hasanuddin University.
- Language
- en
Abstract
Introduction: Management of pulmonary tuberculosis (PTB) from primary and secondary health centers might affect the result of sputum acid-fast bacilli (AFB) smear and features of lung computed tomography scan (CT-scan) presented in tertiary hospitals. The study aims to investigate comparison between CT-scan features of PTB with sputum AFB smear in Wahidin Sudirohusodo Hospital as the top referral hospital in the Eastern part of Indonesia. Methods: This is a retrospective study of patients diagnosed as PTB by pulmonologist of nine months period. Patients with available CT-scan and sputum AFB smear results are included in the study. CT-scan features re-evaluated with RadiAnt DICOM viewer for standardized reading. The relationship between data obtained was analyzed with a chi-square test. Results: Sixty-one PTB patients were entered into the study. The three most common features found in CT were consolidation (93.4%) followed by Tree-in-bud (91.8%), and fibrosis calcification (85.2%). Relationship of CT features and sputum AFB smear was significant on cavity (p-value: 0.002) and pleural effusion (p-value: 0.020). However, unlike cavity (OR = 1.667), pleural effusion has opposite relationship (OR = 0.205) with sputum AFB smear. Conclusions: Pulmonary tuberculosis CT features seen in top referral hospitals can be very severe with consolidation and tree-in-buds as the most common features found in more than 90% of the cases. Feature of cavity may help radiologist to distinct highly active PTB with positive sputum AFB smear while presence of pleural effusion should raise the suspicion from pulmonologists to add further laboratory investigation.
Collaboration network of the authors
29 authors · 75 co-authorship links · 2 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Hasanuddin University
- National Research and Innovation Agency
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Arifin Seweng | Hasanuddin University | 1 |
| J Jeri | Hasanuddin University | 1 |
| L. Amiruddin | Hasanuddin University | 1 |
| Mirna Muis | Hasanuddin University | 1 |
| Hijriah Thayyib | Affiliation unknown | 1 |
| Muhamad Ilyas | Affiliation unknown | 1 |
| Nurfajar Budi Mulya | Hasanuddin University | 1 |
| Erwin Arief | Hasanuddin University | 1 |
| Siti Nurisyah | Hasanuddin University | 1 |
| Harry Akza Putrawan | Hasanuddin University | 1 |
| Muhammad Husni Cangara | Hasanuddin University | 1 |
| Upik Anderiani Miskad | Hasanuddin University | 1 |
| Zainab Azis | Hasanuddin University | 1 |
| Syarifuddin Wahid | Hasanuddin University | 1 |
| Nita Mariana | Hasanuddin University | 1 |
| Cahyono Kaelan | Hasanuddin University | 1 |
| Rina Masadah | Hasanuddin University | 1 |
| Jane Magdalena Kalatiku | Affiliation unknown | 1 |
| Berti Julian Nelwan | Affiliation unknown | 1 |
| Djumadi Achmad | Affiliation unknown | 1 |
| Rahmawati Minhajat1 | Affiliation unknown | 1 |
| Rini Rachmawarni Bachtiar | Hasanuddin University | 1 |
| Sri Delasmi Jayanti | National Research and Innovation Agency | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.