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All Journal Medical Journal of Indonesia Majalah Patologi Indonesia Jurnal Penyakit Dalam Indonesia
Miranda, Monik Ediana
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Health Professions Medicine & Pharmacology Public Health

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Artificial intelligence for enhanced diagnostic precision of prostate cancer Hamid, Agus Rizal Ardy Hariandy; Harahap, Agnes Stephanie; Miranda, Monik Ediana; Gibran, Kahlil; Shabrina, Nabila Husna
Medical Journal of Indonesia Vol. 34 No. 3 (2025): September
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13181/mji.oa.258312

Abstract

BACKGROUND Accurate diagnosis and grading of prostate cancer are essential for treatment planning. The role of artificial intelligence in prostate cancer intervention and diagnosis (RAPID) is a study aimed at developing artificial intelligence (AI) models to enhance diagnostic precision in prostate cancer by distinguishing malignant from non-cancerous histopathological findings. METHODS Histopathological images were collected between 2023 and 2024 at the Department of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia. The dataset included benign prostatic hyperplasia and prostate cancer cases. All slides were digitized and manually annotated by pathologists. Patch-based classification was performed using convolutional neural network and transformer-based models to differentiate malignant from non-malignant tissues. RESULTS A total of 529 whole-slide images were processed, yielding 26,418 image patches for model training and testing. Deep learning models achieved strong performance in classification. Architectures including EfficientNetV2B0, Xception, ConvNeXt-Tiny, and Vision Transformer (ViT) achieved near-perfect classification outcomes. EfficientNetV2B0 reached an AUC of 1.00 (95% CI: 1.00–1.00), sensitivity 0.99 (95% CI: 0.99–1.00), and specificity 1.00 (95% CI: 1.00–1.00). Xception and ConvNeXt-Tiny both achieved AUC 1.00 (95% CI: 1.00–1.00) with sensitivity and specificity of 1.00 (95% CI: 1.00–1.00). ViT performed strongly with AUC 0.999 (95% CI: 0.99–1.00), sensitivity 0.99 (95% CI: 0.99–0.99), and specificity 0.99 (95% CI: 0.99–0.99). CONCLUSIONS RAPID demonstrated high potential as an AI-based diagnostic tool for prostate cancer, showing excellent accuracy in histopathological classification using the Indonesian dataset. These findings highlight the feasibility of deploying deep learning models to support diagnostic decision-making in clinical practice.
Ureteropelvic Junction Obstruction (UPJO) Miranda, Monik Ediana; Widjaja, Tommy
Majalah Patologi Indonesia Vol. 32 No. 3, September 2023
Publisher : Perhimpunan Dokter Spesialis Patologi Anatomik Indonesia (PDSPA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55816/mpi.v32i3.651

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Ureteropelvic junction obstruction (UPJO) is an abnormality in the canal that connects the renal pelvis to the ureter, leading to impairment of urinary flow. The use of maternal ultrasound has increased the number of UPJO during the antenatal period. Histopathological features in UPJO are important for establishing the diagnosis and understanding the pathogenesis of the condition. The current study aims to explain the irregularity of the muscularis propria and a decreased Cajal cells in the affected segment of the UPJO.
Polisitemia Sekunder pada Pasien Laki-Laki Muda dengan Sindrom Nefrotik Wardhani, Ariani Intan; Nugroho, Pringgodigdo; Rinaldi, Ikhwan; Sarasawati, Meilania; Miranda, Monik Ediana; Harahap, Agnes Stephanie
Jurnal Penyakit Dalam Indonesia
Publisher : UI Scholars Hub

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Polycythemia is a condition characterized by an abnormal increase in the total red blood cell mass and is classified into primary and secondary polycythemia. Secondary polycythemia occurs as a physiological response to tissue hypoxia or increased erythropoietin production, without intrinsic abnormalities in erythroid progenitor cells. This condition is rare, particularly when associated with nephrotic syndrome. This report aims to describe a case of secondary polycythemia associated with focal segmental glomerulosclerosis (FSGS). A 20-year-old man presented with generalized edema for five months prior to admission, accompanied by foamy urine. Physical examination revealed peripheral edema and minimal ascites. Laboratory investigations demonstrated massive proteinuria and elevated hemoglobin levels. Renal biopsy confirmed the diagnosis of FSGS, while bone marrow biopsy showed normocellular findings without evidence of malignancy or fibrosis. The patient was treated with methylprednisolone, ramipril, and simvastatin, and underwent four sessions of phlebotomy along with antiplatelet therapy. Following treatment, there was improvement in hemoglobin levels, proteinuria, and blood pressure control. Secondary polycythemia has been reported to be associated with various parenchymal kidney diseases, including FSGS. The proposed mechanisms include increased erythropoietin production due to renal ischemia or dysregulation of erythropoiesis feedback mechanisms. Phlebotomy is an important therapeutic intervention to prevent complications related to hyperviscosity and thromboembolism and has been shown to result in clinical improvement. This case illustrates a rare occurrence of secondary polycythemia in a patient with nephrotic syndrome due to FSGS. Accurate diagnosis and comprehensive management, including phlebotomy, can lead to meaningful clinical improvement. This report is expected to contribute to the literature on the diagnosis and management of secondary polycythemia in kidney disease.
Co-Authors Agnes Stephanie Harahap Agus Rizal Ardy Hariandy Hamid, Agus Rizal Ardy Hariandy gibran, kahlil Ikhwan Rinaldi Pringgodigdo Nugroho, Pringgodigdo Sarasawati, Meilania Shabrina, Nabila Husna Wardhani, Ariani Intan Widjaja, Tommy