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All Journal Majalah Kedokteran Bandung Althea Medical Journal Indonesian Journal of Urology Indonesian Journal of Obstetrics & Gynecology Science Majalah Patologi Indonesia Eduvest - Journal of Universal Studies
Anglita Yantisetiasti
Department of Anatomical Pathology, Faculty of Medicine/Padjadjaran University, Hasan Sadikin Hospital, Bandung.
Aerospace Engineering Computer Science & IT Health Professions Medicine & Pharmacology Neuroscience Public Health Social Sciences

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Quantitative Histomorphometrical Analysis in Distinguishing Non-Hodgkin Malignant Lymphoma, Large Cell Type with Nasopharyngeal Carcinoma Husain, Okky; Aminah Usman, Hermin; Yantisetiasti, Anglita; Handayani, Astri; S Hernowo, Bethy
Majalah Patologi Indonesia Vol. 33 No. 1 (2024): MPI
Publisher : Perhimpunan Dokter Spesialis Patologi Anatomik Indonesia (PDSPA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55816/mpi.v33i1.526

Abstract

Background Non-Hodgkin’s Malignant Lymphomas (NHMLs) with large cell morphology have similar histopathological appearance with Nasopharyngeal Carcinoma, undifferentiated type therefore ancillary examination such as Immunohistochemistry (IHC) are required. Quantitative histomorphometrical analysis able to identify subtle detail. The aim of this study is to measure the accuracy of quantitative histomorphometrical analysis to distinguishing NHML, large cell type with Nasopharyngeal Carcinoma.   Methods Up to 33 Hematoxylin and Eosin (HE) slides from NHML, large cell type, and 27 cases of Nasopharyngeal Carcinoma were photographed under 400 times magnification with a total of 7131 images. Background, nuclei, and extra-nuclear components between cells are segmented as mathematical objects. Objects’ properties were measured and represented as distribution factors (minimum, quartile 1, median, quartile 3, maximum, range, and interquartile range). Significant factors that can differentiate the study groups are measured with a fisher-exact statistical test. Models to predict NHML, large cell type from nasopharyngeal carcinoma were formulated with different numbers of factors. The HE diagnosis accuracy compared to IHC was measured   Results A sum of 7131 with 3893 from NHMLs, large cell type, and 3238 images of nasopharyngeal carcinoma were collected. After features selection, up to 76 properties factors are selected. Models' accuracy are ranging from 72.67% with a single factor and up to 89.9% with the whole selected factors.   Summary Models’ accuracy are higher (72.6-89.9%) compared to HE primary diagnosis (60%) in distinguishing NHML, large cell againts nasopharyngeal carcinoma. Quantitative histomorphometry can assist pathologist for early screening to distinguishing NHML, large cell type with Nasopharyngeal Carcinoma.
Clinicopathological Analysis of Rhabdomyosarcoma Patients Undergone Radiotherapy in Two Referral Hospitals in West Java Misuari Sabirin, Muhammad Syah; Usman, Hermin Aminah; Yantisetiasti, Anglita; Sunardi, Mas Adi
Eduvest - Journal of Universal Studies Vol. 4 No. 8 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i8.1307

Abstract

Rhabdomyosarcoma (RMS) is a type of malignant soft tissue neoplasm that develops from mesenchymal cells of skeletal muscle origin. This condition comprises multiple subtypes with distinct histologic characteristics. While cases of RMS are uncommon overall, they are more frequently diagnosed in children, although adults can also be affected. Treatment options for RMS include radiotherapy, with the specific therapy and dosage determined according to the IRS Group classification system. This study was conducted by collecting secondary data of RMS patients from the medical records consecutively who had been diagnosed and received radiotherapy. The data resources were from Radiotherapy Department and Anatomical Pathology Department of RSUP Dr. Hasan Sadikin Bandung and RSUD Al-Ihsan Bandung, between 2017 and 2023. A total of 31 patients were documented. The age of patients ranging from 3 to 66 years old (mean=34.6), with each of age group (children, adult, elderly) consists of 10, 10, and 11 patients respectively. Based on histologic subtype, most cases of RMS recorded are embryonal subtype (n=10) followed by alveolar RMS and pleomorphic RMS with 6 patients each. The extremities were the most common location (n=13) followed by the head and neck region (n=10). After radiotherapy, 20 cases were accounted as radiosensitive and 11 cases were radioresistant. Thirty one patients with rhabdomyosarcoma have received radiotherapy at two referral hospitals in Bandung between 2017-2023. The tumors in pediatric and elderly patients were more sensitive to therapy. Pleomorphic RMS were the most sensitive subtype, and the larger a tumor, the more sensitive it can be.
Co-Authors A, Aditiyono A.W., Gatot Nyarumenteng Aaron Tigor Sihombing Ahmad Agil Ahmad Ramdan Aminah Usman, Hermin Andi Kurniadi, Andi Bashari, Muhammad Hasan Bethy S Hernowo, Bethy Betthy S Hernowo, Betthy S Betthy S. Hernowo Betthy S. S. Hernowo Dandy Tanuwidjaja Darmadji Ismono, Darmadji Desy Anggraini Dewayani, Birgitta Maria Dodi Suardi fachri, Dliyauddin Gatot Nyarumenteng Adhipurnawan Winarno Gita Tiara Dewi Nasution Gunasegaran, Kirtana Handayani, Astri Harsono, Ali Budi Hermin Aminah Usman Husain, Okky Indra Jaya Irawan, M.Naseh Sajadi Budi Kartika Hapsari Kemala Isnainiasih Mantilidewi Mantilidewi, Kemala I. Misuari Sabirin, Muhammad Syah Muhammad Rivai Noor Fitriana, Maya Rindra Rizqyahya Retossa Salima, Siti Siwendro, Afrisya Bimo Sri Rejeki, Henny Sri Suryanti Sunardi, Mas Adi Suryajaya, Bernard Santoso Suwandi Sugandi Yoyos Dias Ismiarto