Stimulated Raman histology for rapid and accurate intraoperative diagnosis of CNS tumors: prospective blinded study

被引:34
|
作者
Eichberg, Daniel G. [1 ]
Shah, Ashish H. [1 ]
Di, Long [1 ]
Semonche, Alexa M. [1 ]
Jimsheleishvili, George [1 ]
Luther, Evan M. [1 ]
Sarkiss, Christopher A. [1 ]
Levi, Allan D. [1 ]
Gultekin, Sakir H. [2 ]
Komotar, Ricardo J. [1 ,3 ]
Ivan, Michael E. [1 ,3 ]
机构
[1] Univ Miami, Miller Sch Med, Dept Neurol Surg, Miami, FL 33136 USA
[2] Univ Miami, Miller Sch Med, Dept Pathol, Miami, FL 33136 USA
[3] Sylvester Comprehens Canc Ctr, Miami, FL USA
基金
美国国家卫生研究院;
关键词
stimulated Raman histology; brain tumor; pathology; frozen section; permanent section; oncology; FROZEN-SECTION; LABEL-FREE; BRAIN; TIME; VIVO; RISK;
D O I
10.3171/2019.9.JNS192075
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
OBJECTIVE In some centers where brain tumor surgery is performed, the opportunity for expert intraoperative neuropathology consultation is lacking. Consequently, surgeons may not have access to the highest quality diagnostic histological data to inform surgical decision-making. Stimulated Raman histology (SRH) is a novel technology that allows for rapid acquisition of diagnostic histological images at the bedside. METHODS The authors performed a prospective blinded cohort study of 82 consecutive patients undergoing resection of CNS tumors to compare diagnostic time and accuracy of SRH simulation to the gold standard, i.e., frozen and permanent section diagnosis. Diagnostic accuracy was determined by concordance of SRH-simulated intraoperative pathology consultation with a blinded board-certified neuropathologist, with official frozen section and permanent section results. RESULTS Overall, the mean time to diagnosis was 30.5 +/- 13.2 minutes faster (p < 0.0001) for SRH simulation than for frozen section, with similar diagnostic correlation: 91.5% (kappa = 0.834, p < 0.0001) between SRH simulation and permanent section, and 91.5% between frozen and permanent section (kappa = 0.894, p < 0.0001). CONCLUSIONS SRH-simulated intraoperative pathology consultation was significantly faster and equally accurate as frozen section.
引用
收藏
页码:137 / 143
页数:7
相关论文
共 50 条
  • [31] Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
    Todd C. Hollon
    Balaji Pandian
    Arjun R. Adapa
    Esteban Urias
    Akshay V. Save
    Siri Sahib S. Khalsa
    Daniel G. Eichberg
    Randy S. D’Amico
    Zia U. Farooq
    Spencer Lewis
    Petros D. Petridis
    Tamara Marie
    Ashish H. Shah
    Hugh J. L. Garton
    Cormac O. Maher
    Jason A. Heth
    Erin L. McKean
    Stephen E. Sullivan
    Shawn L. Hervey-Jumper
    Parag G. Patil
    B. Gregory Thompson
    Oren Sagher
    Guy M. McKhann
    Ricardo J. Komotar
    Michael E. Ivan
    Matija Snuderl
    Marc L. Otten
    Timothy D. Johnson
    Michael B. Sisti
    Jeffrey N. Bruce
    Karin M. Muraszko
    Jay Trautman
    Christian W. Freudiger
    Peter Canoll
    Honglak Lee
    Sandra Camelo-Piragua
    Daniel A. Orringer
    Nature Medicine, 2020, 26 : 52 - 58
  • [32] Near Real-Time Intraoperative Brain Tumor Diagnosis Using Stimulated Raman Histology and Deep Neural Networks
    Hollon, Todd C.
    Pandian, Balaji
    Khalsa, Siri Sahib Singh
    D'Amico, Randy
    Sisti, Michael B.
    Bruce, Jeffrey N.
    Muraszko, Karin M.
    Thompson, B. Gregory
    Freudiger, Christian
    Hervey-Jumper, Shawn L.
    McKhann, Guy M.
    Camelo-Piragua, Sandra
    Canoll, Peter D.
    Lee, Honglak
    Orringer, Daniel A.
    NEUROSURGERY, 2019, 66 : 134 - 135
  • [33] Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
    Hollon, Todd C.
    Pandian, Balaji
    Adapa, Arjun R.
    Urias, Esteban
    Save, Akshay V.
    Khalsa, Siri Sahib S.
    Eichberg, Daniel G.
    D'Amico, Randy S.
    Farooq, Zia U.
    Lewis, Spencer
    Petridis, Petros D.
    Marie, Tamara
    Shah, Ashish H.
    Garton, Hugh J. L.
    Maher, Cormac O.
    Heth, Jason A.
    McKean, Erin L.
    Sullivan, Stephen E.
    Hervey-Jumper, Shawn L.
    Patil, Parag G.
    Thompson, B. Gregory
    Sagher, Oren
    McKhann, Guy M.
    Komotar, Ricardo J.
    Ivan, Michael E.
    Snuderl, Matija
    Otten, Marc L.
    Johnson, Timothy D.
    Sisti, Michael B.
    Bruce, Jeffrey N.
    Muraszko, Karin M.
    Trautman, Jay
    Freudiger, Christian W.
    Canoll, Peter
    Lee, Honglak
    Camelo-Piragua, Sandra
    Orringer, Daniel A.
    NATURE MEDICINE, 2020, 26 (01) : 52 - +
  • [34] Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks
    Hollon, Todd C.
    Pandian, Balaji
    Urias, Esteban
    Save, Akshay, V
    Adapa, Arjun R.
    Srinivasan, Sudharsan
    Jairath, Neil K.
    Farooq, Zia
    Marie, Tamara
    Al-Holou, Wajd N.
    Eddy, Karen
    Heth, Jason A.
    Khalsa, Siri Sahib S.
    Conway, Kyle
    Sagher, Oren
    Bruce, Jeffrey N.
    Canoll, Peter
    Freudiger, Christian W.
    Camelo-Piragua, Sandra
    Lee, Honglak
    Orringer, Daniel A.
    NEURO-ONCOLOGY, 2021, 23 (01) : 144 - 155
  • [35] How accurate is intraoperative frozen section in the diagnosis of ovarian tumors?
    Malipatil, Renuka
    Crasta, Julian A.
    JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH, 2013, 39 (03) : 710 - 713
  • [36] Indication of intraoperative immunohistochemistry for accurate pathological diagnosis of brain tumors
    Takeo Uzuka
    Hiroshi Aoki
    Manabu Natsumeda
    Akiyoshi Kakita
    Hitoshi Takahashi
    Yukihiko Fujii
    Brain Tumor Pathology, 2011, 28 : 239 - 246
  • [37] Indication of intraoperative immunohistochemistry for accurate pathological diagnosis of brain tumors
    Uzuka, Takeo
    Aoki, Hiroshi
    Natsumeda, Manabu
    Kakita, Akiyoshi
    Takahashi, Hitoshi
    Fujii, Yukihiko
    BRAIN TUMOR PATHOLOGY, 2011, 28 (03) : 239 - 246
  • [38] INTRAOPERATIVE CYTOLOGICAL DIAGNOSIS OF CNS TUMORS - REPORT ON OVER 400 CASES
    RIGOBELLO, L
    ANDRIOLI, GC
    ACTA NEUROCHIRURGICA, 1977, 38 (1-2) : 148 - 149
  • [39] The Raman effect on intraoperative diagnosis of central nervous system tumors
    Colman, Howard
    NEUROSURGICAL FOCUS, 2022, 53 (06)
  • [40] DEEP CONVOLUTIONAL NEURAL NETWORKS PROVIDE RAPID DIAGNOSIS OF FRESH BRAIN TUMOR SPECIMENS IMAGED WITH STIMULATED RAMAN HISTOLOGY
    Hollon, Todd C.
    Pandian, Balaji
    Niknafs, Yashar
    Lewis, Spencer
    Camelo-Piragua, Sandra
    Orringer, Daniel A.
    NEURO-ONCOLOGY, 2017, 19 : 149 - 149