The performance of multimodal hyperspectral spectroscopy in the detection of precancerous cervical lesions

被引:1
|
作者
Trahmono [1 ]
Lusiana, N. [1 ]
Indarti, J. [1 ]
机构
[1] Univ Indonesia, Dept Obstet & Gynecol, Fac Med, Jakarta, Indonesia
关键词
D O I
10.1088/1742-6596/884/1/012152
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
The aim of this study was to compare the performance of multimodal hyperspectral spectroscopy (MHS), which combines fluorescence and reflectance spectroscopy, with that of conventional laboratory-based screening tests, such as the Papanicolaou (Pap) smear test and human papilloma virus (HPV) DNA test, for detecting precancerous lesions of the cervix. The study utilized a cross-sectional design, and the kappa test was used in the analytical assessment. MHS scans were obtained from a sample of 70 consecutive patients, followed by sample collection for Pap and HPV DNA analysis and colposcopy referral, if indicated. Of the 70 patients evaluated, the results of cervical spectroscopy were normal in 38 (54.3%) patients, and they were abnormal in 32 (45.7%) patients. Based on the cytology results, 45 (64.3%) samples were normal, and 25 (35.7%) samples were abnormal. According to the results of the HPV DNA test, 47 (67.14%) samples were normal, and 17 (24.28%) samples were abnormal. Based on the results of the kappa test, the agreement between MHS and cytology was 0.793 (p < 0.001). The agreement between MHS and the HPV DNA test was 0.195 (p = 0.086), and the agreement between MHS and colposcopy was 0.479 (p < 0.001).
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Study of cervical precancerous lesions detection by spectroscopy and support vector machine
    Liu, Wenwen
    Jin, Xiaofei
    Li, Junjun
    Xue, Yanbai
    Li, Yiran
    Qian, Zhiyu
    Li, Weitao
    Yn, Xuemei
    [J]. MINIMALLY INVASIVE THERAPY & ALLIED TECHNOLOGIES, 2021, 30 (04) : 208 - 214
  • [2] Diagnosis of cervical precancerous lesions based on multimodal feature changes
    Peng, Gengyou
    Dong, Hua
    Liang, Tong
    Li, Ling
    Liu, Jun
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 130
  • [3] Artificial neural network for detection of cervical precancerous lesions
    Guerrero, J.
    Rivas, J.
    Linares, P.
    Rodriguez, J.
    [J]. INGENIERIA UC, 2008, 15 (01): : 14 - 27
  • [4] Visual Inspection with Acetic Acid in Detection of Cervical Precancerous Lesions
    Rady H.A.
    Melies M.E.
    [J]. Indian Journal of Gynecologic Oncology, 2017, 15 (2)
  • [5] Detection of Precancerous Cervical Lesions Is Differential by Human Papillomavirus Type
    Safaeian, Mahboobeh
    Schiffman, Mark
    Gage, Julia
    Solomon, Diane
    Wheeler, Cosette M.
    Castle, Philip E.
    [J]. CANCER RESEARCH, 2009, 69 (08) : 3262 - 3266
  • [6] Evaluation of a new dataset for visual detection of cervical precancerous lesions
    Zhang, Ying
    Zall, Yonit
    Nissim, Ronen
    Satyam
    Zimmermann, Roger
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 190
  • [7] Detection of oral precancerous and cancerous lesions by Raman Spectroscopy.
    Dayal, PP
    Vengal, M
    [J]. JOURNAL OF DENTAL RESEARCH, 2001, 80 (04) : 1379 - 1379
  • [8] HPV Screening Test for the Detection of Precancerous Cervical Lesions and Cervical Cancer in Israeli Women
    Feinberg, Tali
    Yehuda-Shnaidman, Einav
    Wolf, Tamar
    Sandbank, Judith
    Segal, Jacob
    Vaknin, Zvi
    Schejter, Eduardo
    [J]. ACTA CYTOLOGICA, 2021, 65 (06) : 494 - 500
  • [9] Multi-mode data fusion for cervical precancerous lesions detection
    Song, Haoxuan
    Yan, Ling
    Yang, Jingjing
    Shen, Xingfa
    Guo, Yi
    Ren, Peng
    [J]. 2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 4462 - 4467
  • [10] Diagnosis and Management of Precancerous Cervical Lesions
    Melinda S. Auer
    David G. Mutch
    [J]. Current Obstetrics and Gynecology Reports, 2014, 3 (2) : 128 - 135