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VEGF-C Serum Level as Predictor Lymph Node Metastasis in Advanced Stage Cervical Cancer AGUSTIANSYAH, PATIYUS
Indonesian Journal of Cancer Vol 8, No 3 (2014): Jul - Sep 2014
Publisher : "Dharmais" Cancer Center Hospital

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.343 KB)

The aim of this study to identify correlation between VEGF-C and lymph node metastasis in advanced stage cervicalcancer in Dr. Hasan Sadikin General Hospital Bandung from April to August 2013.Cross sectional study from 30 patients diagnosed with advanced stage Cervical Cancer (IIB â IVA). We performedtransperitoneal lymphadenectomy pelvic and para-aortic and measuring VEGF-C serum with ELISA priorchemoradiation.Results : 17/30 patients (56.7%) metastasis to pelvic lymph nodes and 4/30 pastients (13.3%) metastases to para-aorticlymph nodes. VEGF-C > 5333 pg/mL has a metastasis risk to pelvic lymph node 21.6 times with 94% sensitivity; 84.6%specificity; 88.9% positive predictive value; and 84.6% negative predictive value. Meanwhile VEGF-C > 8915.5 pg/mL hasa metastasis risk to para-aortic lymph node 15 times with 75% sensitivity, 100% specificity, 100% positive predictivevalue and 96.3% negative predictive value in advanced stage cervical cancer.Conclusion: a significant correlation between VEGF-C serum level with lymph node metastasis (pelvic and para-aortic)(p < 0.05)

The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy Forbes, Darlin; Sastradinata, Irawan; Agustiansyah, Patiyus; Theodorus, Theodorus
Indonesian Journal of Obstetrics and Gynecology Volume. 5, No. 4, October 2017
Publisher : Indonesian Socety of Obstetrics and Gynecology

Object: To assess the diagnostic value of Risk of Ovarian Malignancy Algorithm (ROMA) in predicting ovarian malignancy. Methods: Diagnostic test was performed at dr. Mohammad Hoesin Hospital Palembang during June 2016 to November 2016. Data were analized with SPSS version 21.0 and Med-calc statistic. Results: A total of 57 subjects were recruited in this study. Subjects were divided into two groups: the premenopausal and postmenopausal group. Analysis with ROC curve was performed, the ROMA optimal cut-off of ROMA was 23.7% and 48.15% in the premenopausal and the post-menopausal group, respectively. With the optimal cut-off, the sensitivity was 79.41% and specivicity was 75%, positive predictive value wa 73.07% and negative predictive value 83.77% with accuracy 76.92% in diagnosing ovarian malignancy. Compared to RMI-3, the sensitivity was 65.5% and specivicity was 85.7% with accuracy 75.44%. Conclusion: ROMA is not a reliable diagnostic tools of ovarian malignancy. Keywords: CA125, HE4, ovarian cancer, risk of ovarian malignancyalgorithm/ ROMA, risk of ovarian malignancy index/RMI

The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy Forbes, Darlin; Sastradinata, Irawan; Agustiansyah, Patiyus; Theodorus, Theodorus
Indonesian Journal of Obstetrics and Gynecology Volume. 5, No. 4, October 2017
Publisher : Indonesian Socety of Obstetrics and Gynecology

Object: To assess the diagnostic value of Risk of Ovarian Malignancy Algorithm (ROMA) in predicting ovarian malignancy. Methods: Diagnostic test was performed at dr. Mohammad Hoesin Hospital Palembang during June 2016 to November 2016. Data were analized with SPSS version 21.0 and Med-calc statistic. Results: A total of 57 subjects were recruited in this study. Subjects were divided into two groups: the premenopausal and postmenopausal group. Analysis with ROC curve was performed, the ROMA optimal cut-off of ROMA was 23.7% and 48.15% in the premenopausal and the post-menopausal group, respectively. With the optimal cut-off, the sensitivity was 79.41% and specivicity was 75%, positive predictive value wa 73.07% and negative predictive value 83.77% with accuracy 76.92% in diagnosing ovarian malignancy. Compared to RMI-3, the sensitivity was 65.5% and specivicity was 85.7% with accuracy 75.44%. Conclusion: ROMA is not a reliable diagnostic tools of ovarian malignancy. Keywords: CA125, HE4, ovarian cancer, risk of ovarian malignancyalgorithm/ ROMA, risk of ovarian malignancy index/RMI

Malignancy Risk Factors of Hydatidiform Mole D Saputra, Akbar N; Shaleh, Agustria Z; Agustiansyah, Patiyus; Theodorus, Theodorus
Indonesian Journal of Obstetrics and Gynecology Volume 7 No. 2 April 2019
Publisher : Indonesian Socety of Obstetrics and Gynecology

Abstract Objective: to determine risk factors inhydatidiform mole patients who will develop into Gestational Trophoblast Neoplasm (GTN) in Dr.Mohammad Hoesin Hospital Palembang Method: An observational analytical study with case control design was conducted in Department of Obstetrics and Gynecology in Dr. Mohammad Hoesin Hospital Palembang / Faculty of Medicine Sriwijaya University Palembang from January 2017 to August 2017. The frequency and distribution of data are described in tables. Bivariate analysis was done to determine correlation between independent variable and dependent variable using Chi Square/Fisher Exact test and multivariate analysis  was used to know which independent variable has the biggest influence to the occurrence of Gestational TrophoblastNeoplasm (GTN) post evacuation of hydatidiform mole. Data analysis was done using SPSS version 21.0. Results: There were 45 patients who fulfilled inclusion criteria with control group and case group ratio 1 : 2 (15 cases and 30 controls). Statistical analysis showed a significant correlation between patient age, pre-evacuation β HCG level, parity, and histopathologic appearance with occurrence of Gestational Trophoblast Neoplasm (GTN) after evacuation of hydatidiform mole (p <0,05). From multivariate analysis, it was found that pre-evacuation β HCG levels ≥ 134,182.5 mIU/ml was a risk factor of Gestational Trophoblast Neoplasm (OR = 77.008, p value = 0.004). Conclusion: Pre-evacuation β HCG levels ≥ 134,182.5 mIU / ml is a risk factor for the occurrence of Gestational Trophoblast Neoplasm (GTN). Keywords: Hydatidiform mole, GTN, age, pre-evacuation β HCG level, parity, uterine size, blood type, hysthopathology feature

TeleOTIVA: Advanced AI-Powered Automated Screening System for Early Detection of Precancerous Lesions Rachmamtullah, Muhammad Naufal; Nurmaini, Siti; Agustiansyah, Patiyus; Sanif, Rizal; Sastradinata, Irawan; Arum, Akhiar Wista; Firdaus, Firdaus; Darmawahyuni, Annisa; Tutuko, Bambang; Sapitri, Ade Iriani; Islami, Anggun
Computer Engineering and Applications Journal Vol 14 No 1 (2025)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v14i1.1197

In 2023, the Indonesian Ministry of Health launched the Rencana Aksi Nasional (RAN) to enhance the detection and management of cervical cancer in Indonesia. One of the main pillars in this movement is the implementation of early screening for precancerous lesions aimed at identifying and treating these lesions before they develop into cervical cancer. This effort includes improving public access to healthcare services, providing education and awareness about the importance of early detection, and utilizing the latest technology in screening procedures. It is hoped that, through these targeted and effective interventions, the incidence of cervical cancer can be significantly reduced. This research aims to facilitate the early detection screening process for cervical precancerous lesions, particularly in difficult areas for medical experts to reach. This study also seeks to assist obstetricians and gynecologists in detecting precancerous lesions automatically, quickly, and accurately. By developing an advanced technology-based screening system, it is hoped that early detection of precancerous lesions can be carried out more efficiently, thereby increasing the chances of timely treatment and reducing the incidence of cervical cancer across various regions in Indonesia. This system is designed to provide reliable and user-friendly diagnostic support as it is developed on a mobile platform that can be accessed anytime and anywhere. This research developed a system for early screening called Tele-OTIVA. The Tele-OTIVA application system is an advanced platform that uses artificial intelligence (AI) based approaches to provide optimal services in early detection of precancerous lesions. This application is designed for mobile, allowing users to access and use its advanced features anytime and anywhere. With the integration of AI technology, Tele-OTIVA can detect and analyze cervical precancerous lesions accurately and quickly to provide accurate and efficient screening results. The Tele-OTIVA application system is capable of providing satisfactory detection results. The performance of the proposed model achieves accuracy, sensitivity, and specificity levels above 90%. With this high performance, Tele-OTIVA ensures that the detection of precancerous lesions is carried out with high reliability and precision, instilling greater confidence in healthcare professionals and users during the screening and diagnosis process. The implementation of our application model offers numerous advantages over traditional methods. It significantly enhances efficiency by automating processes, reduces human error through rigorous error-checking mechanisms, and accelerates the processing of large datasets. These improvements streamline operations and ensure more reliable and rapid data analysis.

Characteristics of Epithelial Ovarian Cancer at RSUP Dr. Mohammad Hoesin Palembang Period from January 2020 to September 2023 Zaen, Wildana Ilmia Uli El Nuha; Agustiansyah, Patiyus; Oktharina, Eka Handayani; Sanif, Rizal; Purnamasari, Septi
Indonesian Journal of Obstetrics & Gynecology Science Volume 8 Nomor 1 Maret 2025
Publisher : Dep/SMF Obstetri & Ginekologi Fakultas Kedokteran Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/obgynia.v8i1.762

Objective: To determine the characteristics of epithelial ovarian cancer patient at Dr. Mohammad Hoesin Palembang General Hospital from January 2020 to September 2023.Methods: This study is a descriptive observational study utilizing secondary data from the Medical Records Department. The inclusion criteria included all patients diagnosed with epithelial ovarian cancer based on anatomical pathology results from the Medical Records Department at Dr. Mohammad Hoesin Palembang Hospital, covering the period from January 2020 to September 2023.Results: A total of 153 patient medical records met the inclusion and exclusion criteria. The results of the study findings revealed that the majority of epithelial ovarian cancer patients were aged 45–59 years (pre-elderly) (51%), had an normal Body Mass Index of 18.5–22.9 kg/m² (57.5%), were most commonly diagnosed at FIGO Stage IIIC (42.5%), had no family history of the disease (98.7%), and were nulliparous (32.7%)Conclusion: Epithelial ovarian cancer patients were predominantly found in the pre-elderly age group, with a normal Body Mass Index, the majority diagnosed at stage IIIC, without a family history, and nulliparous.Karakteristik Kanker Ovarium Epitel di RSUP Dr. Mohammad Hoesin Palembang Periode Januari 2020 – September 2023AbstrakTujuan: Mengetahui karakteristik pasien kanker ovarium epitel di RSUP Dr. Mohammad Hoesin Palembang periode Januari 2020 – September 2023Metode: Penelitian ini merupakan deskriptif observasional menggunakan data sekunder dari Instalasi Rekam Medis. Kriteria inklusi, yaitu seluruh pasien yang didiagnosis kanker ovarium epitel berdasarkan hasil patologi anatomi di Instalasi Rekam Medis RSUP Dr. Mohammad Hoesin Palembang periode Januari 2020 – September 2023.Hasil: Mayoritas pasien kanker ovarium epitel berusia 45 – 59 tahun (pra-lanjut) (51%), Indeks Massa Tubuh normal 18,5–22,9 kg/m2 (57,5%), mayoritas pada stadium IIIC (42,5%), tidak memiliki riwayat keluarga (98,7%), dan nuliparitas (32,7%).Kesimpulan:Penderita kanker ovarium epitel sebagian besar ditemukan pada kelompok usia pra-lansia, dengan ndeks Massa Tubuh normal, sebagian besar berada pada stadium IIIC, tidak memiliki riwayat keluarga, dan nuliparitas.Kata kunci: Kanker Ovarium Epitel, Karakteristik.

Eliminating HPV DNA Positive Result with Large Loop Excision of the Transformation Zone (LLETZ)/Loop Electrosurgical Excision Procedure (LEEP) in Precancerous Cervical Lesions Sanif, Rizal; Agustiansyah, Patiyus; Nurwany, Raissa; Sastradinata, Irawan; Theodorus; Agustian, Wisman
Indonesian Journal of Obstetrics and Gynecology Volume 12 No. 2 April 2024
Publisher : Indonesian Socety of Obstetrics and Gynecology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32771/inajog.v12i2.1897

Abstract Objective: To determine the use of LLETZ/LEEP to eliminate HPV DNA positive result in patients with cervical precancerous lesions at General Hospital dr. Mohammad. Hoesin, Palembang. Methods: A case series with cervical precancerous lesions was undertaken at the Oncology Polyclinic of dr.Mohammad Hoesin Hospital Palembang from January to October 2022. There were 24 samples with positive HPV DNA before LLETZ/LEEP. Samples then checked for HPV DNA after LLETZ/LEEP. The effectiveness of LLETZ/LEEP therapy was analyzed using the Mc Nemar test. Comparison of HPV DNA outcomes (positive or negative) based on procedure, HPV DNA type and histopathological type was analyzed using Fisher Exact and Pearson Chi Square tests. All data were analyzed using SPPS version 22.0. Results: In this study, it was found that the average age of patients with cervical precancerous lesions was 40.25 ± 7.67 years (28 - 57 years). Based on the diagnosis, 8 samples were found with High-grade Squamous Intraepithelial Lesion (HGSIL) and 16 samples with Low-grade Squamous Intraepithelial Lesion (LGSIL). All samples in this study were housewives and the majority were multiparas (75.0%). History of abortion in the patients in this study was only found in 5 samples (20.8%). The results showed that there were significant differences in the HPV DNA before and after LLETZ/LEEP therapy (p = 0.000). In addition, the results showed that there was no difference in the outcome of HPV DNA based on the procedure (p = 1.000) and the type of HPV DNA (p = 0.643). After LLETZ/LEEP therapy was carried out, it was found that only 1 subject has positive HPV DNA result and the HPV DNA virus found was type 52 and (high risk) and 42 (low risk). Conclusion: It can be concluded that LLETZ/LEEP therapy is effective in eliminating HPV DNA positive results in cervical precancerous lesions Keywords: cervical cancer, HPV DNA, LLETZ/LEEP, precancerous lesions, RCT

TeleOTIVA: Advanced AI-Powered Automated Screening System for Early Detection of Precancerous Lesions Rachmatullah, Muhammad Naufal; Nurmaini, Siti; Agustiansyah, Patiyus; Sastradinata, Irawan; Arum, Akhiar Wista; Firdaus; Darmawahyuni, Annisa; Tutuko, Bambang; Sapitri, Ade Iriani; Islami, Anggun
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

In 2023, the Indonesian Ministry of Health launched the Rencana Aksi Nasional (RAN) to enhance the detection and management of cervical cancer in Indonesia. One of the main pillars in this movement is the implementation of early screening for precancerous lesions aimed at identifying and treating these lesions before they develop into cervical cancer. This effort includes improving public access to healthcare services, providing education and awareness about the importance of early detection, and utilizing the latest technology in screening procedures. It is hoped that, through these targeted and effective interventions, the incidence of cervical cancer can be significantly reduced. This research aims to facilitate the early detection screening process for cervical precancerous lesions, particularly in difficult areas for medical experts to reach. This study also seeks to assist obstetricians and gynecologists in detecting precancerous lesions automatically, quickly, and accurately. By developing an advanced technology-based screening system, it is hoped that early detection of precancerous lesions can be carried out more efficiently, thereby increasing the chances of timely treatment and reducing the incidence of cervical cancer across various regions in Indonesia. This system is designed to provide reliable and user-friendly diagnostic support as it is developed on a mobile platform that can be accessed anytime and anywhere. This research developed a system for early screening called TeleOTIVA. The TeleOTIVA application system is an advanced platform that uses artificial intelligence (AI) based approaches to provide optimal services in early detection of precancerous lesions. This application is designed for mobile, allowing users to access and use its advanced features anytime and anywhere. With the integration of AI technology, TeleOTIVA can detect and analyze cervical precancerous lesions accurately and quickly to provide accurate and efficient screening results. The TeleOTIVA application system is capable of providing satisfactory detection results. The performance of the proposed model achieves accuracy, sensitivity, and specificity levels above 90%. With this high performance, TeleOTIVA ensures that the detection of precancerous lesions is carried out with high reliability and precision, instilling greater confidence in healthcare professionals and users during the screening and diagnosis process. The implementation of our application model offers numerous advantages over traditional methods. It significantly enhances efficiency by automating processes, reduces human error through rigorous error-checking mechanisms, and accelerates the processing of large datasets. These improvements streamline operations and ensure more reliable and rapid data analysis.

Serum Vitamin D Levels, Visual Analog Scale Dysmenorrhea Score, and Endometriosis ASRM Classification: a Relationship Study Rizany, Selly; Abadi, Adnan; Agustiansyah, Patiyus; Nurtjahyo, Awan; Irfanuddin; Usman, Fatimah; Hartati; Mirani, Putri; Krisna, Ratih; Amran, Rizani; Prasetiyo, Muhammad Ath Thaariq
Indonesian Journal of Obstetrics and Gynecology Volume 12 No. 1 January 2024
Publisher : Indonesian Socety of Obstetrics and Gynecology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32771/inajog.v12i1.1947

Objective: To assess the correlation between vitamin D levels, dysmenorrhea intensity measured by the visual analogue scale (VAS), and the stage of endometriosis determined by the American Society of Reproductive Medicine (ASRM) grading score. Methods: A cross-sectional study was conducted involving 37 women diagnosed with suspected endometriosis who met the inclusion and exclusion criteria. The aim was to determine the correlation between vitamin D levels, dysmenorrhea VAS scores, and the ASRM endometriosis stage at RSUP Dr. Mohammad Hoesin Palembang from November 2021 to April 2022. Bivariate analysis was employed to assess correlation, utilizing Pearson's correlation test and the Spearman Rank correlation test as an alternative method. Results: There was a significant positive correlation between vitamin D levels and the VAS score for dysmenorrhea (r = 0.678; p = 0.000) and a very strong positive correlation between vitamin D levels and the degree of endometriosis (r = 0.774; p = 0.000) based on Spearman Rho's correlation test. Conclusion: There is a significant relationship between vitamin D levels with the VAS score of dysmenorrhea and the degree of endometriosis ASRM. Keywords: american society of reproductive medicine, endometriosis, visual analogue scale, vitamin D

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