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All Journal Jurnal Kedokteran Brawijaya Indonesian Journal of Cancer International Journal of Radiology and Imaging
Nurdiana, Farah
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Immunology & microbiology Medicine & Pharmacology Neuroscience Public Health

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 1 
IMAGING OF A RARE CASE OF MULLERIAN DUCT ANOMALY IN AN AMENORRHEIC WOMAN: A CASE SERIES Nabilla Hardiyanti, Ginanda; Nurdiana, Farah; Yueniwati, Yuyun
International Journal of Radiology and Imaging Vol. 3 No. 02 (2024): International Journal of Radiology and Imaging
Publisher : Department of Radiology, Medical Faculty, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.ijri.2024.003.02.2

Abstract

Müllerian duct anomalies encompass a range of conditions that can lead to primary amenorrhea, infertility, and complications during pregnancy. Uterus didelphys arise when the Müllerian ducts fail to fuse properly to form a single uterus. In contrast, a septate uterus occurs when the central septum between the ducts fails to resorb. We describe three cases: the first involves a 14-year-old girl experiencing lower abdominal pain and secondary amenorrhea; MRI revealed a completely septate uterus with OHVIRA. The second case is a 27-year-old woman with secondary amenorrhea and primary infertility, who also had a complete septate uterus on MRI. The third case concerns a 17-year-old girl with primary amenorrhea, whose MRI showed uterus didelphys and a single left kidney. Müllerian duct anomalies are present in up to 7% of women, and about one-third of these women also have renal anomalies. Septate uterus is the most common type of Müllerian anomaly, while uterus didelphys is relatively rare. A complete septate uterus with obstructed hemivagina and an associated renal anomaly is particularly uncommon. Advances in diagnostic and surgical methods aim to preserve or enhance reproductive potential. Keywords: Uterus didelphys, septate uterus, OHVIRA
A Case of  HIV and Disseminated Tuberculosis: Unrecognized Co-Infection and the Importance of Early Diagnosis Rosandy, Milanitalia Gadys; Fadli, M Luqman; Nurdiana, Farah; Kamal Hadi, Muchamad
Jurnal Kedokteran Brawijaya Vol. 33 No. 4 (2025)
Publisher : Fakultas Kedokteran Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkb.2025.033.04.9

Abstract

Tuberculosis (TB) is still the main cause of death in people living with HIV (PLHIV). TB preventive therapy (TPT) and ARVs can reduce morbidity, mortality, and incidence of TB in PLHIV. With the severity of the immunodeficiency, extrapulmonary TB or disseminated TB occurs more often. Disseminated TB occurs due to the hematogenous spread of Mycobacterium tuberculosis, which occurs as a result of progressive primary infection or reactivation of latent TB infection. Disseminated TB can involve many organs such as the lungs, liver, and spleen. Delays in diagnosis often occur due to non-specific clinical manifestations; thus, the diagnosis needs to be supported by radiological and microbiological examination, as well as definite histopathological diagnosis. Treatment is given according to existing therapy guidelines with a more extensive duration and regard to the patient's clinical condition.
Potential Efficacy of Artificial Intelligence in Mammography for Breast Cancer Screening: Current Evidence from Meta-Analysis Amalia, Nurlinah; Nurdiana, Farah; Pradyaputri, Naura Shafa
Indonesian Journal of Cancer Vol 19, No 4 (2025): December
Publisher : http://dharmais.co.id/

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33371/ijoc.v19i4.1353

Abstract

Background: Artificial intelligence (AI), an advancing field of data science, has been applied in mammography screening for early detection of breast cancer in an effort to enhance screening participants' outcomes. Screening is crucial to halting the spread of breast cancer. These days, mammography is typically used in screenings conducted by radiologists. Therefore, alternative diagnostic methods are needed to provide a diagnostic solution that is efficient in terms of both time and resources. This review aims to evaluate the accuracy of AI applications in radiology, specifically in mammographic image interpretation, to determine whether AI can serve as an evidence-based recommendation for breast cancer screening. Methods: We conducted a systematic review and meta-analysis following the PRISMA guidelines. Literature searches were performed across multiple databases, including PubMed, ScienceDirect, and SpringerLink. The inclusion criteria were based on the PICOs framework, focusing on individuals at risk of breast cancer undergoing mammographic screening, where AI was used to interpret the images and compared to a radiologist. Exclusion criteria included studies involving patients with diagnosed breast cancer, non-human studies, non-English, books, paid articles, and review articles. The primary outcomes of interest were the sensitivity and specificity of AI in detecting breast cancer from mammograms. Meta-analysis was conducted using STATA software, while the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool was employed to evaluate study qualityResults: A total of 2,412,102 mammograms from twenty-six studies were included in this analysis. The results indicated that AI demonstrated moderate sensitivity [84% (99.92% CI: 99.91 – 99.92)] and specificity [87% (99.97% CI: 99.97 – 99.97)] with a p-value (0.001). Conclusions: These results suggest that AI has potential as a breast cancer diagnosis tool in the future. Radiologists can become more accurate with AI algorithms, which are useful for screening, cutting down on unnecessary recall rates, and reducing effort.
ULTRASOUND FEATURES OF ADENOMYOSIS AND JUNCTIONAL ZONE INVOLVEMENT IN WOMEN WITH PRIMARY INFERTILITY AT DR. SAIFUL ANWAR HOSPITAL Nurdila, Annisa Safira; Nurdiana, Farah
International Journal of Radiology and Imaging Vol. 5 No. 01 (2026): International Journal of Radiology and Imaging
Publisher : Department of Radiology, Medical Faculty, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.ijri.2026.005.01.01

Abstract

Adenomyosis is increasingly recognized as a potential contributor to infertility in women of reproductive age. The present research focused on identifying the sonographic patterns of adenomyosis and the involvement of the junctional zone among women diagnosed with primary infertility at Dr. Saiful Anwar General Hospital. A descriptive-correlational design was used, involving 49 women with confirmed adenomyosis on ultrasound and a documented history of primary infertility. Data on lesion morphology, junctional zone thickness, and infertility duration were analyzed. The most common lesion types were diffuse and focal posterior, each found in 22 participants, while five had focal anterior lesions. Mean infertility duration across all groups was approximately eight years, with no significant difference between lesion types. Statistical analysis revealed significant association between lesion morphology and junctional zone involvement. These findings suggest that both focal and diffuse forms of adenomyosis are linked to prolonged infertility, regardless of lesion location, highlighting the importance of junctional zone assessment during infertility evaluations.
Co-Authors Amalia, Nurlinah Fadli, M Luqman Kamal Hadi, Muchamad Nabilla Hardiyanti, Ginanda Nurdila, Annisa Safira Pradyaputri, Naura Shafa Rosandy, Milanitalia Gadys Yuyun Yueniwati