Modelagem Computacional de Bioimpedância e Ultrassom Aplicada à Detecção Perineal de Alterações Neoplásicas
Resumo
Este trabalho apresenta uma prova de conceito computacional para a detecção não invasiva de neoplasias utilizando ultrassom perineal e sinais de bioimpedância integrados por meio de uma arquitetura de rede neural convolucional multimodal. Simulações em Sim4Life com modelos anatômicos da Fundação IT’IS confirmam que os campos acústico e elétrico atingem a região urogenital com intensidade adequada e que os contrastes de condutividade, permissividade e impedância acústica entre tecidos saudáveis e neoplásicos, derivados da literatura, fornecem base física suficiente para a detecção. O modelo gera uma estimativa probabilística de neoplasia a partir de dados simulados complementares, precedendo e carecendo da validação futura com modelos biomiméticos e conjuntos de dados clínicos.Referências
Borman, P., Yaman, A., Doğan, L., Dönmez, A. A., Koyuncu, E. G., Balcan, A., Aksoy, S., Özaslan, C., Akın, R., and Üneş, K. (2022). The comparative frequency of breast cancer-related lymphedema determined by bioimpedance spectroscopy and circumferential measurements. European Journal of Breast Health, 18(2):148.
Cho, K. H., Han, E. Y., Lee, S. A., Park, H., Lee, C., and Im, S. H. (2020). Feasibility of bioimpedance analysis to assess the outcome of complex decongestive therapy in cancer treatment-related lymphedema. Frontiers in oncology, 10:111.
Du, J., Chen, S., Terris, M. K., Miyamoto, H., Yu, Y., and Ying, Q. (2025). Comparison of prostate cancer detection rates and complications between transrectal ultrasound-guided transperineal and transrectal biopsies: a systematic review and meta-analysis. Translational Andrology and Urology, 14(5):1418–1428.
Fang, Y., Xia, L., Lu, H., and He, H. (2024). Meta-analysis of transperineal and transrectal ultrasound-guided prostate biopsy in the detection of prostate cancer. Archivos Espanoles de Urologia, 77(9):1089–1099.
Gabriel, C., Gabriel, S., and Corthout, E. (1996a). The dielectric properties of biological tissues: I. literature survey. Physics in medicine & biology, 41(11):2231–2249.
Gabriel, S., Lau, R., and Gabriel, C. (1996b). The dielectric properties of biological tissues: Ii. measurements in the frequency range 10 hz to 20 ghz. Physics in medicine & biology, 41(11):2251–2269.
Gabriel, S., Lau, R. W., and Gabriel, C. (1996c). The dielectric properties of biological tissues: Iii. parametric models for the dielectric spectrum of tissues. Physics in medicine & biology, 41(11):2271–2293.
Grajales, D., Picot, F., Shams, R., Dallaire, F., Sheehy, G., Alley, S., Barkati, M., Delouya, G., Carrier, J.-F., Birlea, M., et al. (2022). Image-guided raman spectroscopy navigation system to improve transperineal prostate cancer detection. part 2: In-vivo tumor-targeting using a classification model combining spectral and mri-radiomics features. Journal of Biomedical Optics, 27(9):095004–095004.
Hatamikia, S., Gulyas, I., Birkfellner, W., Kronreif, G., Unger, A., Oberoi, G., Lorenz, A., Unger, E., Kettenbach, J., Figl, M., et al. (2023). Realistic 3d printed ct imaging tumor phantoms for validation of image processing algorithms. Physica Medica, 105:102512.
Hwang, J., Ramella-Roman, J. C., and Nordstrom, R. (2012). Introduction: feature issue on phantoms for the performance evaluation and validation of optical medical imaging devices.
Ito, M., Yonese, I., Toide, M., Ikuta, S., Kobayashi, S., and Koga, F. (2023). Superior detection of significant prostate cancer by transperineal prostate biopsy using mri-transrectal ultrasound fusion image guidance over cognitive registration. International Journal of Clinical Oncology, 28(11):1545–1553.
Jawli, A., Aldehani, W., Nabi, G., and Huang, Z. (2024). Tissue-mimicking material fabrication and properties for multiparametric ultrasound phantoms: a systematic review. Bioengineering, 11(6):620.
Jong, B.-E., Lo, C.-W., Shei-Dei Yang, S., Yu, C.-C., Hsu, C.-K., Li, M.-W., Tseng, S.-S., Tsai, P.-H., Chou, Y.-J., Chang, C.-L., et al. (2025). Predictors for clinically significant prostate cancer detection: insights from transperineal software-assisted fusion biopsy and transperineal cognitive fusion biopsy. Urological Science, 36(2):100–105.
Kilgore, L. J., Korentager, S. S., Hangge, A. N., Amin, A. L., Balanoff, C. R., Larson, K. E., Mitchell, M. P., Chen, J. G., Burgen, E., Khan, Q. J., et al. (2018). Reducing breast cancer-related lymphedema (bcrl) through prospective surveillance monitoring using bioimpedance spectroscopy (bis) and patient directed self-interventions: Lj kilgore et al. Annals of surgical oncology, 25(10):2948–2952.
Manohar, S., Sechopoulos, I., Anastasio, M. A., Maier-Hein, L., and Gupta, R. (2024). Super phantoms: advanced models for testing medical imaging technologies. Communications Engineering, 3(1):73.
Mansouri, S., Alhadidi, T., and Ben Azouz, M. (2020). Breast cancer detection using low-frequency bioimpedance device. Breast Cancer: Targets and Therapy, pages 109–116.
McCabe, C., Harrawood, B., Samei, E., and Abadi, E. (2025). In silico modeling of a clinical photon-counting ct system: verification and validation. Medical Physics, 52(6):3840–3853.
Mei, L., Meng, J., Wei, D., Hu, Q., Chen, Y., Cui, T., Zhang, Y., Li, Q., Zhang, X., Liu, Y., et al. (2022). Diagnostic test of bioimpedance-based neural network algorithm in early cervical cancer. Annals of Translational Medicine, 10(8):471.
Moqadam, S. M., Grewal, P. K., Haeri, Z., Ingledew, P. A., Kohli, K., and Golnaraghi, F. (2018). Cancer detection based on electrical impedance spectroscopy: A clinical study. Journal of electrical bioimpedance, 9(1):17.
Panus, A., Hodorog, M. C., Mitroi, G., Drocas, A. I., Dragoescu, P. O., et al. (2022). Ultrasound guided transperineal vs. transrectal prostate biopsy: A comparison of significant cancer detection rate. Ultrasound in Medicine & Biology, 48:S7.
Picot, F., Shams, R., Dallaire, F., Sheehy, G., Trang, T., Grajales, D., Birlea, M., Trudel, D., Menard, C., Kadoury, S., et al. (2022). Image-guided raman spectroscopy navigation system to improve transperineal prostate cancer detection. part 1: Raman spectroscopy fiber-optics system and in situ tissue characterization. Journal of Biomedical Optics, 27(9):095003–095003.
Rakauskas, A., Peters, M., Martel, P., van Rossum, P. S., La Rosa, S., Meuwly, J.-Y., Roth, B., and Valerio, M. (2023). Do cancer detection rates differ between transperineal and transrectal micro-ultrasound mpmri-fusion-targeted prostate biopsies? a propensity score-matched study. PloS one, 18(1):e0280262.
Vicini, F., Arthur, D., Shah, C., Anglin, B., Curcio, L., Laidley, A., Beitsch, P., Whitworth, P., and Lyden, M. (2013). Multi-institutional analysis of bioimpedance spectroscopy in the early detection of breast cancer related lymphedema. J Cancer Res Ther, 1(1):1–7.
Ward, L. C., Thompson, B., Gaitatzis, K., and Koelmeyer, L. A. (2024). Comparison of volume measurements and bioimpedance spectroscopy using a stand-on device for assessment of unilateral breast cancer-related lymphedema. European journal of breast health, 20(2):141.
Wu, Y., Enders, J., Williams, C., Jiang, B., Wiskin, J., Rothberg, M. B., Negussie, A. H., Klock, J., Hazen, L., Xu, S., et al. (2024). Realistic digital phantoms for prostate ultrasound and photoacoustic imaging. In Medical Imaging 2024: Ultrasonic Imaging and Tomography, volume 12932, pages 318–327. SPIE.
Xiao, Y., Zeng, Y., Han, L., Lin, G., Ke, H., Xu, S., Lyu, G., and Li, S. (2024). A novel simplified transperineal prostate biopsy guided by perineal ultrasound. British Journal of Radiology, 97(1159):1351–1356.
Cho, K. H., Han, E. Y., Lee, S. A., Park, H., Lee, C., and Im, S. H. (2020). Feasibility of bioimpedance analysis to assess the outcome of complex decongestive therapy in cancer treatment-related lymphedema. Frontiers in oncology, 10:111.
Du, J., Chen, S., Terris, M. K., Miyamoto, H., Yu, Y., and Ying, Q. (2025). Comparison of prostate cancer detection rates and complications between transrectal ultrasound-guided transperineal and transrectal biopsies: a systematic review and meta-analysis. Translational Andrology and Urology, 14(5):1418–1428.
Fang, Y., Xia, L., Lu, H., and He, H. (2024). Meta-analysis of transperineal and transrectal ultrasound-guided prostate biopsy in the detection of prostate cancer. Archivos Espanoles de Urologia, 77(9):1089–1099.
Gabriel, C., Gabriel, S., and Corthout, E. (1996a). The dielectric properties of biological tissues: I. literature survey. Physics in medicine & biology, 41(11):2231–2249.
Gabriel, S., Lau, R., and Gabriel, C. (1996b). The dielectric properties of biological tissues: Ii. measurements in the frequency range 10 hz to 20 ghz. Physics in medicine & biology, 41(11):2251–2269.
Gabriel, S., Lau, R. W., and Gabriel, C. (1996c). The dielectric properties of biological tissues: Iii. parametric models for the dielectric spectrum of tissues. Physics in medicine & biology, 41(11):2271–2293.
Grajales, D., Picot, F., Shams, R., Dallaire, F., Sheehy, G., Alley, S., Barkati, M., Delouya, G., Carrier, J.-F., Birlea, M., et al. (2022). Image-guided raman spectroscopy navigation system to improve transperineal prostate cancer detection. part 2: In-vivo tumor-targeting using a classification model combining spectral and mri-radiomics features. Journal of Biomedical Optics, 27(9):095004–095004.
Hatamikia, S., Gulyas, I., Birkfellner, W., Kronreif, G., Unger, A., Oberoi, G., Lorenz, A., Unger, E., Kettenbach, J., Figl, M., et al. (2023). Realistic 3d printed ct imaging tumor phantoms for validation of image processing algorithms. Physica Medica, 105:102512.
Hwang, J., Ramella-Roman, J. C., and Nordstrom, R. (2012). Introduction: feature issue on phantoms for the performance evaluation and validation of optical medical imaging devices.
Ito, M., Yonese, I., Toide, M., Ikuta, S., Kobayashi, S., and Koga, F. (2023). Superior detection of significant prostate cancer by transperineal prostate biopsy using mri-transrectal ultrasound fusion image guidance over cognitive registration. International Journal of Clinical Oncology, 28(11):1545–1553.
Jawli, A., Aldehani, W., Nabi, G., and Huang, Z. (2024). Tissue-mimicking material fabrication and properties for multiparametric ultrasound phantoms: a systematic review. Bioengineering, 11(6):620.
Jong, B.-E., Lo, C.-W., Shei-Dei Yang, S., Yu, C.-C., Hsu, C.-K., Li, M.-W., Tseng, S.-S., Tsai, P.-H., Chou, Y.-J., Chang, C.-L., et al. (2025). Predictors for clinically significant prostate cancer detection: insights from transperineal software-assisted fusion biopsy and transperineal cognitive fusion biopsy. Urological Science, 36(2):100–105.
Kilgore, L. J., Korentager, S. S., Hangge, A. N., Amin, A. L., Balanoff, C. R., Larson, K. E., Mitchell, M. P., Chen, J. G., Burgen, E., Khan, Q. J., et al. (2018). Reducing breast cancer-related lymphedema (bcrl) through prospective surveillance monitoring using bioimpedance spectroscopy (bis) and patient directed self-interventions: Lj kilgore et al. Annals of surgical oncology, 25(10):2948–2952.
Manohar, S., Sechopoulos, I., Anastasio, M. A., Maier-Hein, L., and Gupta, R. (2024). Super phantoms: advanced models for testing medical imaging technologies. Communications Engineering, 3(1):73.
Mansouri, S., Alhadidi, T., and Ben Azouz, M. (2020). Breast cancer detection using low-frequency bioimpedance device. Breast Cancer: Targets and Therapy, pages 109–116.
McCabe, C., Harrawood, B., Samei, E., and Abadi, E. (2025). In silico modeling of a clinical photon-counting ct system: verification and validation. Medical Physics, 52(6):3840–3853.
Mei, L., Meng, J., Wei, D., Hu, Q., Chen, Y., Cui, T., Zhang, Y., Li, Q., Zhang, X., Liu, Y., et al. (2022). Diagnostic test of bioimpedance-based neural network algorithm in early cervical cancer. Annals of Translational Medicine, 10(8):471.
Moqadam, S. M., Grewal, P. K., Haeri, Z., Ingledew, P. A., Kohli, K., and Golnaraghi, F. (2018). Cancer detection based on electrical impedance spectroscopy: A clinical study. Journal of electrical bioimpedance, 9(1):17.
Panus, A., Hodorog, M. C., Mitroi, G., Drocas, A. I., Dragoescu, P. O., et al. (2022). Ultrasound guided transperineal vs. transrectal prostate biopsy: A comparison of significant cancer detection rate. Ultrasound in Medicine & Biology, 48:S7.
Picot, F., Shams, R., Dallaire, F., Sheehy, G., Trang, T., Grajales, D., Birlea, M., Trudel, D., Menard, C., Kadoury, S., et al. (2022). Image-guided raman spectroscopy navigation system to improve transperineal prostate cancer detection. part 1: Raman spectroscopy fiber-optics system and in situ tissue characterization. Journal of Biomedical Optics, 27(9):095003–095003.
Rakauskas, A., Peters, M., Martel, P., van Rossum, P. S., La Rosa, S., Meuwly, J.-Y., Roth, B., and Valerio, M. (2023). Do cancer detection rates differ between transperineal and transrectal micro-ultrasound mpmri-fusion-targeted prostate biopsies? a propensity score-matched study. PloS one, 18(1):e0280262.
Vicini, F., Arthur, D., Shah, C., Anglin, B., Curcio, L., Laidley, A., Beitsch, P., Whitworth, P., and Lyden, M. (2013). Multi-institutional analysis of bioimpedance spectroscopy in the early detection of breast cancer related lymphedema. J Cancer Res Ther, 1(1):1–7.
Ward, L. C., Thompson, B., Gaitatzis, K., and Koelmeyer, L. A. (2024). Comparison of volume measurements and bioimpedance spectroscopy using a stand-on device for assessment of unilateral breast cancer-related lymphedema. European journal of breast health, 20(2):141.
Wu, Y., Enders, J., Williams, C., Jiang, B., Wiskin, J., Rothberg, M. B., Negussie, A. H., Klock, J., Hazen, L., Xu, S., et al. (2024). Realistic digital phantoms for prostate ultrasound and photoacoustic imaging. In Medical Imaging 2024: Ultrasonic Imaging and Tomography, volume 12932, pages 318–327. SPIE.
Xiao, Y., Zeng, Y., Han, L., Lin, G., Ke, H., Xu, S., Lyu, G., and Li, S. (2024). A novel simplified transperineal prostate biopsy guided by perineal ultrasound. British Journal of Radiology, 97(1159):1351–1356.
Publicado
19/07/2026
Como Citar
COSTA, Rafael; CAETANO, Marcos F.; MAROTTA, Marcelo A..
Modelagem Computacional de Bioimpedância e Ultrassom Aplicada à Detecção Perineal de Alterações Neoplásicas. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 18. , 2026, Gramado/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 280-289.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2026.23573.
