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Journal : GANESHA MEDICINA

POTENSI KECERDASAN BUATAN DALAM PENINGKATAN AKURASI PEMBACAAN HASIL MAMOGRAFI: TINJAUAN SISTEMATIS DAN META-ANALISIS MUNAWIR, AL; Sekar Arum Srigati; Pipiet Wulandari
Ganesha Medicina Vol. 3 No. 1 (2023)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/gm.v3i1.55575

Abstract

ABSTRAK Kanker payudara merupakan suatu penyakit keganasan oleh karena proliferasi tak terkontrol dari sel-sel di payudara. Jumlah morbiditas dan mortalitas yang cukup tinggi menjadikan upaya skrining dan deteksi dini kanker payudara penting untuk dilakukan. Mamografi merupakan modalitas utama skrining kanker payudara yang diinterpretasikan oleh ahli radiologi berdasarkan persepsi visual. Namun, peningkatan permintaan skrining selaras dengan peningkatan beban kerja yang dapat mempengaruhi efektivitas dan menyebabkan kesalahan interpretasi hasil mamografi. Perkembangan teknologi, salah satunya kecerdasan buatan (AI) dengan algoritma deep learning diklaim memiliki kinerja yang lebih baik daripada kinerja rata-rata ahli radiologi. Tujuan penelitian ini adalah untuk mengkaji potensi AI dalam meningkatkan akurasi pembacaan hasil mamografi. Penelitian ini merupakan tinjauan sistematis dan meta-analisis menggunakan artikel dengan desain penelitian retrospektif dari lima basis data sesuai panduan Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Risiko bias dikaji menggunakan Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). Total terdapat 12 artikel terinklusi yang dianalisis berdasarkan penggunaan tunggal AI, ahli radiologi, dan kombinasi ahli radiologi-AI. Hasil meta-analisis penggunaan tunggal AI menunjukkan hasil yang lebih tinggi dibandingkan lainnya pada sensitivitas (88% (95% CI 82%-92%)), spesifisitas (89% (95% CI 81%-93%)), dan AUC (0,94 (95% CI 0,92-0,96)). Penelitian ini menunjukkan adanya potensi yang menjanjikan dari kecerdasan buatan (AI) untuk meningkatkan akurasi pembacaan hasil mamografi. Kata Kunci: AI, deep learning, kanker payudara, mamografi ABSTRACT Breast cancer is a malignancy caused by the uncontrollable proliferation of breast cells. The high morbidity and mortality make an essential excuse for screening and early detection of breast cancer. Mammography is the main modality in the examination of breast cancer screening which is interpreted by radiologists based on visual perception. The increase in screening demand leads to workload which affects the effectiveness and misinterpretation of mammography results. These years, technological development such as artificial intelligence (AI) in its deep learning algorithm claimed to have better performance than the average performance of radiologists. Hence, this study aimed to investigate the potency of AI to enhance the accuracy of a mammography reading. This systematic review and meta-analysis conducted retrospective articles from five electronic databases based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The risk of biases was assessed from each study using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). Twelve articles were included and analyzed for the AI stand-alone, radiologists stand-alone, and combination of radiologists with AI. The current study showed the higher results of AI stand-alone compared to others in its sensitivity (88% (95% CI 82%-92%)), specificity (89% (95% CI 81%-93%)), and area under the curves (0,94 (95% CI 0,92-0,96)). In conclusion, this systematic review and meta-analysis provide valuable evidence about AI's promising potency to enhance mammography reading accuracy. Keywords: AI, breast cancer, deep learning, mammography
Co-Authors . Zulfan Abd, Misswar Abd, Miswar Achmad, Fariz Ade Ananta Pratiwi Adelia Handoko Adinningtyas Intansari Adji, Novan K. Agung Sudrajat Agung_Sudrajat Agung Aini Hidayati Ali Santoso Alimas Jonsa Alloysius Vendhi Prasmoro, Alloysius Vendhi Anang Dwi Atmoko Ancah Caesarina Novi Marchianti Anhar Fazri Asti Nuris ASTUTI, IDA SRI SURANI WIJI Aulia, Tesya Ayik Nikmatul Laili Azka Darajat Bachtiar, Dandi Bagus Indra Kusuma Darmawan, Reza Dear F Sielma Desi Maulida Desy Tariustanti Desy Tariustanti Dewi Rokhmah dian febrianti Dika Pangestu, Yusufa Dori Yuvenda Edy Kurniawan Elfian Zulkarnain Elfian Zulkarnain, Elfian Erfan Efendi Erma Sulistyaningsih Farida Wahyu Ningtyias, Farida Wahyu Farida Wahyuningtiyas Farizal, Teuku Futri Syam Ghiza J.K. Barqly Hadi Prayitno Hartati, Rita Hasdi, Syaiful Hazmi Dwinanda Nurqistan Hendri, Afrizal Herdi Susanto Herri Darsan Hilda Khairinnisa I Gusti Ngurah Agung Darma Putra Ida Srisurani Wiji Astuti Ika Rahmawati Sutejo Ikmala, Riskita Isa Marufi ISLAMI, SHOFI IQDA Jalil, Muhammad Jauhar Firdaus Jayadi, Farid Jumanto Jumanto Kamarullah Kamarullah Kiky Martha Ariesaka kustin uds Laili, Ayik Nikmatul laili, Ayik Nikmatul Laksmi Indreswari Luluk Faridatul Mukaromah M. Yasep Setiawan Mahmuddin Marbun Maidi Saputra Masykur, Masykur Meylis Safriani Mirza Adia Nova Muazar, Muazar Mudzakkir Taufiqurrahman Muflikhatun, Khanif Muhammad Abrar Muhammad Aqib Husni Fadhli Muhammad Arif Nasution Muhammad Herizal Ihza Muhendra, Rifki Mulkan, Andi Murhaban Murhaban Murtadho Ridwan Muzakir Muzakkir Muzakkir N. Nazaruddin Nabiel, Rifaldy Nadia Putri Yurianto Nafolion Nur Rahmat, Nafolion Nur Nanda Prima Natasya Febrilia Yulianti Novan K. Adji Pandan, Pandan wangi Pipiet Wulandari Pribadyo, Pribadyo Putri Erlinda Kusumaningarum Putri Kemala Sari Putri, Gusfita Trisna Ayu Raudhatun Nafisah Retno Widyastuti Riskita Ikmala Rita Fazlina Rizka N Wardani Rizki, Julia Roat Yeti Mustafida Romadhon, Nadia Jean Rosita Dewi Rudy Gunawan Sabrina M Pratama Safrirullah Safrirullah Saiful Bukhori Saiful Bukhori, Saiful Bukhori Salman Al Farisi Sarwendah Siswi Winasis Sayyidah Auliany Aminy Sekar Arum Srigati septa surya wahyudi, septa surya SHOFI IQDA ISLAMI Sihaan, Josua Cornel Roni Silvi Ahmada Chasya Solihin Solihin Solihin, Solihin Solihin Sri Wahyu Handayani Sugiyanta Sugiyanta Sukhairi, Teuku Ariessa Supangat Supangat Supangat Supangat Supangat Syahrul Fathi Syari, Zammiq Utami, Nastiti Bekti Vita Alfiatul Hasanah Wahyu Dian Puspita Widyantoro, Murwan Wiqodatul Ummah Y, Fadhil Yasrizal Yulianti, Natasya F. Yusnan, Muhammad Zahrah Febianti Zakir Husin Zarah Puspita Zarah Puspitaningtyas Zuhrizal Fadhly Zulfadhli Zulfadhli Zulfan Adi Putra