TY - JOUR
T1 - Emerging Intraoperative Imaging Modalities to Improve Surgical Precision
AU - Alam, Israt S.
AU - Steinberg, Idan
AU - Vermesh, Ophir
AU - van den Berg, Nynke S.
AU - Rosenthal, Eben L.
AU - van Dam, Gooitzen M.
AU - Ntziachristos, Vasilis
AU - Gambhir, Sanjiv S.
AU - Hernot, Sophie
AU - Rogalla, Stephan
PY - 2018/10
Y1 - 2018/10
N2 - Intraoperative imaging (IOI) is performed to guide delineation and localization of regions of surgical interest. While oncological surgical planning predominantly utilizes x-ray computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound (US), intraoperative guidance mainly remains on surgeon interpretation and pathology for confirmation. Over the past decades however, intraoperative guidance has evolved significantly with the emergence of several novel imaging technologies, including fluorescence-, Raman, photoacoustic-, and radio-guided approaches. These modalities have demonstrated the potential to further optimize precision in surgical resection and improve clinical outcomes for patients. Not only can these technologies enhance our understanding of the disease, they can also yield large imaging datasets intraoperatively that can be analyzed by deep learning approaches for more rapid and accurate pathological diagnosis. Unfortunately, many of these novel technologies are still under preclinical or early clinical evaluation. Organizations like the Intra-Operative Imaging Study Group of the European Society for Molecular Imaging (ESMI) support interdisciplinary interactions with the aim to improve technical capabilities in the field, an approach that can succeed only if scientists, engineers, and physicians work closely together with industry and regulatory bodies to resolve roadblocks to clinical translation. In this review, we provide an overview of a variety of novel IOI technologies, discuss their challenges, and present future perspectives on the enormous potential of IOI for oncological surgical navigation.
AB - Intraoperative imaging (IOI) is performed to guide delineation and localization of regions of surgical interest. While oncological surgical planning predominantly utilizes x-ray computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound (US), intraoperative guidance mainly remains on surgeon interpretation and pathology for confirmation. Over the past decades however, intraoperative guidance has evolved significantly with the emergence of several novel imaging technologies, including fluorescence-, Raman, photoacoustic-, and radio-guided approaches. These modalities have demonstrated the potential to further optimize precision in surgical resection and improve clinical outcomes for patients. Not only can these technologies enhance our understanding of the disease, they can also yield large imaging datasets intraoperatively that can be analyzed by deep learning approaches for more rapid and accurate pathological diagnosis. Unfortunately, many of these novel technologies are still under preclinical or early clinical evaluation. Organizations like the Intra-Operative Imaging Study Group of the European Society for Molecular Imaging (ESMI) support interdisciplinary interactions with the aim to improve technical capabilities in the field, an approach that can succeed only if scientists, engineers, and physicians work closely together with industry and regulatory bodies to resolve roadblocks to clinical translation. In this review, we provide an overview of a variety of novel IOI technologies, discuss their challenges, and present future perspectives on the enormous potential of IOI for oncological surgical navigation.
KW - Intraoperative imaging
KW - Surgical navigation
KW - Image-guided surgery
KW - Fluorescence imaging
KW - Raman spectrometry
KW - Photoacoustic imaging
KW - Optoacoustic imaging
KW - Thermoacoustic imaging
KW - Radio-guided surgery
KW - Deep learning
KW - CONVOLUTION NEURAL-NETWORK
KW - MULTISPECTRAL OPTOACOUSTIC TOMOGRAPHY
KW - FLUORESCENCE-GUIDED SURGERY
KW - LUNG NODULE DETECTION
KW - LYMPH-NODE BIOPSY
KW - CANCER-DETECTION
KW - NECK-CANCER
KW - CLUSTERED MICROCALCIFICATIONS
KW - COMPUTERIZED DETECTION
KW - DIGITAL MAMMOGRAMS
U2 - 10.1007/s11307-018-1227-6
DO - 10.1007/s11307-018-1227-6
M3 - Review article
VL - 20
SP - 705
EP - 715
JO - Molecular Imaging and Biology
JF - Molecular Imaging and Biology
SN - 1536-1632
IS - 5
ER -