nach oben

Erschienen in:

10.01.2020 | Leitthema

Intraoperative Bildgebung und Visualisierung

verfasst von: Prof. Dr. Lena Maier-Hein, Prof. Dr. Ines Gockel, MBA, Prof. Dr. Stefanie Speidel, Dr. Thomas Wendler, Prof. Dr. Dogu Teber, Dr. Keno März, Dr. Minu Tizabi, PD Dr. med. Felix Nickel, MME, Prof. Dr. Nassir Navab, Prof. Dr. med. Beat Müller-Stich, MBA

Erschienen in: Die Onkologie | Ausgabe 1/2020

Einloggen, um Zugang zu erhalten

Zusammenfassung

Hintergrund

Die chirurgische Onkologie ist eine wichtige Säule in der interdisziplinären Tumorbehandlung. Die intraoperative Visualisierung von Tumor und Risikostrukturen sowie funktioneller Gewebeparameter auf Basis intra- und präoperativer Bildgebung bildet die Grundlage für ein präzises chirurgisches Vorgehen und somit für die Optimierung des onkologischen Outcomes.

Fragestellung

Ziel dieses Artikels ist die Zusammenstellung technischer Entwicklungen, welche von besonderer Relevanz für die intraoperative Bildgebung und Visualisierung sind.

Methoden

Medizinische und technische Experten mit Erfahrung in computerassistierter Chirurgie identifizierten 4 Forschungsfelder mit hohem Potenzial, die chirurgische Onkologie nachhaltig zu verbessern: (1) funktionelle Bildgebung auf Basis von Biophotonik, (2) multimodale Datenvisualisierung durch Augmented Reality, (3) reproduzierbare Bildgebung mittels Robotik und (4) situationsadaptive Visualisierung auf Basis von Surgical Data Science.

Ergebnisse

Aktuelle Publikationen zeigen exemplarisch das hohe Potenzial der 4 vorgestellten Themenbereiche.

Schlussfolgerung

Zukünftige Forschungsarbeiten sollten sich auf die Optimierung von Robustheit und Integrierbarkeit in den chirurgischen Arbeitsablauf konzentrieren.

Apiou-Sbirlea G, Choe R, Kleemann M, Tromberg BJ (2019) Translational biophotonics. Special Section Guest Editorial: Translational Biophotonics. J Biomed Opt 24:1–2PubMed

Azuma RT (1997) A survey of augmented reality. Presence: Teleoperators and Virtual Environments 6:355–385

Baranski A‑C, Schäfer M, Bauder-Wüst U et al (2018) PSMA-11-derived dual-labeled PSMA inhibitors for preoperative PET imaging and precise fluorescence-guided surgery of prostate cancer. J Nucl Med 59:639–645PubMed

Beller S, Hünerbein M, Eulenstein S et al (2007) Feasibility of navigated resection of liver tumors using multiplanar visualization of intraoperative 3‑dimensional ultrasound data. Ann Surg 246:288–294PubMedPubMedCentral

Beller S, Hünerbein M, Lange T et al (2007) Image-guided surgery of liver metastases by three-dimensional ultrasound- based optoelectronic navigation. Br J Surg 94:866–875PubMed

Bernhardt S, Nicolau SA, Soler L, Doignon C (2017) The status of augmented reality in laparoscopic surgery as of 2016. Med Image Anal 37(7):66–90PubMed

Birkmeyer JD, Stukel TA, Siewers AE et al (2003) Surgeon volume and operative mortality in the United States. N Engl J Med 349:2117–2127PubMed

Bodenstedt S, Wagner M, Mündermann L et al (2019) Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data. Int J Comput Assist Radiol Surg 14:1089–1095PubMed

de Boer E, Harlaar NJ, Taruttis A et al (2015) Optical innovations in surgery. Br J Surg 102:e56–e72PubMed

10.

Cordemans V, Kaminski L, Banse X et al (2017) Accuracy of a new intraoperative cone beam CT imaging technique (Artis zeego II) compared to postoperative CT scan for assessment of pedicle screws placement and breaches detection. Eur Spine J 26:2906–2916PubMed

11.

Diana M, Soler L, Agnus V et al (2017) Prospective evaluation of precision multimodal gallbladder surgery navigation: virtual reality, near-infrared fluorescence, and X‑ray-based intraoperative cholangiography. Ann Surg 266:890–897PubMed

12.

Eck U, Sielhorst T (2018) Display technologies. In: Mixed and augmented reality in medicine. CRC Press, Florida, S 47–60

13.

Esposito M, Busam B, Hennersperger C et al (2016) Multimodal US-gamma imaging using collaborative robotics for cancer staging biopsies. Int J Comput Assist Radiol Surg 11:1561–1571PubMed

14.

Gardiazabal J, Esposito M, Matthies P et al (2014) Towards personalized Interventional SPECT-CT imaging. In: MICCAI 2014. Springer, Switzerland, S 504–511

15.

Gardiazabal J, Reichl T, Okur A et al (2013) First flexible robotic intra-operative nuclear imaging for image-guided surgery. In: Information processing in computer-assisted interventions. Springer, Berlin Heidelberg, S 81–90

16.

Goyal A (2018) New technologies for sentinel lymph node detection. Breast Care 13:349–353PubMedPubMedCentral

17.

Graschew G, Rakowsky S, Balanou P, Schlag PM (2000) Interactive telemedicine in the operating theatre of the future. J Telemed Telecare 6(Suppl 2):20–24

18.

Gunelli R, Fiori M, Salaris C et al (2016) The role of intraoperative ultrasound in small renal mass robotic enucleation. Arch Ital Urol Androl 88:311–313PubMed

19.

Hagen NA, Kudenov MW (2013) Review of snapshot spectral imaging technologies. Organ Ethic 52:90901

20.

Hayashi Y, Misawa K, Oda M et al (2016) Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer. Int J Comput Assist Radiol Surg 11:827–836PubMed

21.

http://www.surgical-data-science.org

22.

Intuitive Surgical Inc (2019) Intuitive announces second quarter earnings | intuitive surgical. https://isrg.gcs-web.com/news-releases/news-release-details/intuitive-announces-second-quarter-earnings. Zugegriffen: 7. Aug. 2019

23.

Jansen-Winkeln B, Maktabi M, Takoh JP et al (2018) Hyperspektral-Imaging bei gastrointestinalen Anastomosen. Chirurg 89:717–725PubMed

24.

Jung JJ, Jüni P, Lebovic G, Grantcharov T (2018) First-year analysis of the operating room black box study. Ann Surg 271:122–127

25.

Katić D, Wekerle A‑L, Görtler J et al (2013) Context-aware augmented reality in laparoscopic surgery. Comput Med Imaging Graph 37:174–182PubMed

26.

Kenngott HG, Wagner M, Gondan M et al (2014) Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging. Surg Endosc 28:933–940PubMed

27.

Kickingereder P, Isensee F, Tursunova I et al (2019) Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study. Lancet Oncol 20:728–740PubMed

28.

Kirchner T, Gröhl J, Herrera MA et al (2019) Photoacoustics can image spreading depolarization deep in gyrencephalic brain. Sci Rep 9:8661PubMedPubMedCentral

29.

Knieling F, Neufert C, Hartmann A et al (2017) Multispectral optoacoustic tomography for assessment of Crohn’s disease activity. N Engl J Med 376:1292–1294PubMed

30.

Köhler H, Jansen-Winkeln B, Chalopin C, Gockel I (2019) Hyperspectral imaging as a new optical method for the measurement of gastric conduit perfusion. Dis Esophagus. https://doi.org/10.1093/dote/doz046 CrossRefPubMed

31.

Leal Ghezzi T, Campos Corleta O (2016) 30 years of robotic surgery. World J Surg 40:2550–2557PubMed

32.

Lim MC, Tan CH, Cai J et al (2014) CT volumetry of the liver: where does it stand in clinical practice? Clin Radiol 69:887–895PubMed

33.

Maier-Hein L, Eisenmann M, Feldmann C et al (2018) Surgical data science: a consensus perspective. arXiv:1806.03184

34.

Maier-Hein L, Speidel S, Stenau E et al (2018) Registration. In: Mixed and augmented reality in medicine. CRC Press, Florida, S 29–45

35.

Maier-Hein L, Vedula SS, Speidel S et al (2017) Surgical data science for next-generation interventions. Nat Biomed Eng 1:691–696PubMed

36.

Majlesara A, Golriz M, Hafezi M et al (2017) Indocyanine green fluorescence imaging in hepatobiliary surgery. Photodiagnosis Photodyn Ther 17:208–215PubMed

37.

Maktabi M, Köhler H, Ivanova M et al (2019) Tissue classification of oncologic esophageal resectates based on hyperspectral data. Int J Comput Assist Radiol Surg. https://doi.org/10.1007/s11548-019-02016-x CrossRefPubMed

38.

März K, Hafezi M, Weller T et al (2015) Toward knowledge-based liver surgery: holistic information processing for surgical decision support. Int J Comput Assist Radiol Surg 10:749–759PubMed

39.

Meershoek P, van Oosterom MN, Simon H et al (2019) Robot-assisted laparoscopic surgery using DROP-IN radioguidance: first-in-human translation. Eur J Nucl Med Mol Imaging 46:49–53PubMed

40.

Mislow JMK, Golby AJ, Black PM (2009) Origins of intraoperative MRI. Neurosurg Clin N Am 20:137–146PubMedPubMedCentral

41.

Moccia S, Wirkert SJ, Kenngott H et al (2018) Uncertainty-aware organ classification for surgical data science applications in Laparoscopy. IEEE Trans Biomed Eng 65:2649–2659PubMed

42.

Müller M (2003) Risikomanagement und Sicherheitsstrategien der Luftfahrt-ein Vorbild für die Medizin? Z Allg Med 79:339–344

43.

Neuschler EI, Butler R, Young CA et al (2018) A pivotal study of optoacoustic imaging to diagnose benign and malignant breast masses: a new evaluation tool for radiologists. Radiology 287:398–412PubMed

44.

Rajasekaran S, Kanna RM, Bhushan M et al (2018) Coronal vertebral dislocation due to congenital absence of multiple thoracic and lumbar pedicles: report of three cases, review of literature, and role of Intraoperative CT navigation. Spine Deformity 6:621–626PubMed

45.

Schellenberg MW, Hunt HK (2018) Hand-held optoacoustic imaging: a review. Photoacoustics 11:14–27PubMedPubMedCentral

46.

Schilling C, Gnansegaran G, Thavaraj S, McGurk M (2018) Intraoperative sentinel node imaging versus SPECT/CT in oral cancer - a blinded comparison. Eur J Surg Oncol 44:1901–1907PubMed

47.

Shen D, Wu G, Suk H‑I (2017) Deep learning in medical image analysis. Annu Rev Biomed Eng 19:221–248PubMedPubMedCentral

48.

Simpfendörfer T, Baumhauer M, Müller M et al (2011) Augmented reality visualization during laparoscopic radical prostatectomy. J Endourol 25:1841–1845PubMed

49.

Simpfendörfer T, Gasch C, Hatiboglu G et al (2016) Intraoperative computed tomography imaging for navigated laparoscopic renal surgery: first clinical experience. J Endourol 30:1105–1111PubMed

50.

Tinguely P, Fusaglia M, Freedman J et al (2017) Laparoscopic image-based navigation for microwave ablation of liver tumors‑a multi-center study. Surg Endosc 31:4315–4324PubMed

51.

Toi M, Asao Y, Matsumoto Y et al (2017) Visualization of tumor-related blood vessels in human breast by photoacoustic imaging system with a hemispherical detector array. Sci Rep 7:41970PubMedPubMedCentral

52.

Tonutti M, Gras G, Yang G‑Z (2017) A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery. Artif Intell Med 80:39–47PubMed

53.

Vidal-Sicart S, Valdés Olmos R, Nieweg OE et al (2018) From interventionist imaging to intraoperative guidance: New perspectives by combining advanced tools and navigation with radio-guided surgery. Rev Esp Med Nucl Imagen Mol 37:28–40PubMed

54.

Volonté F, Pugin F, Bucher P et al (2011) Augmented reality and image overlay navigation with OsiriX in laparoscopic and robotic surgery: not only a matter of fashion. J Hepatobiliary Pancreat Sci 18:506–509PubMed

55.

Wirkert SJ, Kenngott H, Mayer B et al (2016) Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression. Int J Comput Assist Radiol Surg 11:909–917PubMedPubMedCentral

56.

Wirkert SJ, Vemuri AS, Kenngott HG et al (2017) Physiological parameter estimation from multispectral images unleashed. In: MICCAI 2017. Springer, Cham, S 134–141

57.

Zettinig O, Frisch B, Virga S et al (2017) 3D ultrasound registration-based visual servoing for neurosurgical navigation. Int J Comput Assist Radiol Surg 12:1607–1619PubMed

Titel: Intraoperative Bildgebung und Visualisierung
verfasst von: Prof. Dr. Lena Maier-Hein
Prof. Dr. Ines Gockel, MBA
Prof. Dr. Stefanie Speidel
Dr. Thomas Wendler
Prof. Dr. Dogu Teber
Dr. Keno März
Dr. Minu Tizabi
PD Dr. med. Felix Nickel, MME
Prof. Dr. Nassir Navab
Prof. Dr. med. Beat Müller-Stich, MBA
Publikationsdatum: 10.01.2020
Verlag: Springer Medizin
Erschienen in: Die Onkologie / Ausgabe 1/2020
Print ISSN: 2731-7226
Elektronische ISSN: 2731-7234
DOI: https://doi.org/10.1007/s00761-019-00695-4

Springer Medizin

Intraoperative Bildgebung und Visualisierung