High-resolution imaging of basal cell carcinoma: a comparison between multiphoton microscopy with fluorescence lifetime imaging and reflectance confocal microscopy

被引:22
|
作者
Manfredini, Marco [1 ]
Arginelli, Federica [1 ]
Dunsby, Christopher [2 ]
French, Paul [2 ]
Talbot, Clifford [2 ]
Koenig, Karsten [3 ,4 ]
Pellacani, Giovanni [1 ,5 ]
Ponti, Giovanni [1 ]
Seidenari, Stefania [1 ]
机构
[1] Univ Modena & Reggio Emilia, Dept Dermatol, I-41124 Modena, Italy
[2] Univ London Imperial Coll Sci Technol & Med, Dept Phys, London, England
[3] Univ Saarland, Dept Biophoton & Lasertechnol, D-66123 Saarbrucken, Germany
[4] JenLab GmbH, Jena, Germany
[5] Univ Hosp Modena & Reggio Emilia, Dept Clin & Diagnost Med & Publ Hlth, Modena, Italy
关键词
basal cell carcinoma; reflectance confocal microscopy; multiphoton microscopy; fluorescence lifetime imaging; IN-VIVO; DIAGNOSTIC-ACCURACY; MELANOCYTIC LESIONS; MALIGNANT-MELANOMA; LASER TOMOGRAPHY; SKIN DISEASES; SPECIFICITY; SENSITIVITY; TIME; FEATURES;
D O I
10.1111/j.1600-0846.2012.00661.x
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Aims: The aim of this study was to compare morphological aspects of basal cell carcinoma (BCC) as assessed by two different imaging methods: in vivo reflectance confocal microscopy (RCM) and multiphoton tomography with fluorescence lifetime imaging implementation (MPT-FLIM). Methods: The study comprised 16 BCCs for which a complete set of RCM and MPT-FLIM images were available. The presence of seven MPT-FLIM descriptors was evaluated. The presence of seven RCM equivalent parameters was scored in accordance to their extension. Chi-squared test with Fisher's exact test and Spearman's rank correlation coefficient were determined between MPT-FLIM scores and adjusted-RCM scores. Results: MPT-FLIM and RCM descriptors of BCC were coupled to match the descriptors that define the same pathological structures. The comparison included: Streaming and Aligned elongated cells, Streaming with multiple directions and Double alignment, Palisading (RCM) and Palisading (MPT-FLIM), Typical tumor islands, and Cell islands surrounded by fibers, Dark silhouettes and Phantom islands, Plump bright cells and Melanophages, Vessels (RCM), and Vessels (MPT-FLIM). The parameters that were significantly correlated were Melanophages/Plump Bright Cells, Aligned elongated cells/Streaming, Double alignment/Streaming with multiple directions, and Palisading (MPT-FLIM)/Palisading (RCM). Conclusion: According to our data, both methods are suitable to image BCC's features. The concordance between MPT-FLIM and RCM is high, with some limitations due to the technical differences between the two devices. The hardest difficulty when comparing the images generated by the two imaging modalities is represented by their different field of view.
引用
收藏
页码:E433 / E443
页数:11
相关论文
共 50 条
  • [31] Multiphoton fluorescence lifetime imaging microscopy (FLIM) using a streak camera
    Krishna, RV
    Saitoh, H
    Terada, H
    Centonze, VE
    Herman, B
    MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES III, 2003, 4963 : 165 - 174
  • [32] Multiphoton microscopy and fluorescence lifetime imaging of brain and brain tumor tissue
    Kantelhardt, S.
    Leppert, J.
    Petkus, N.
    Huettmann, G.
    Rohde, V.
    Giese, A.
    NEURO-ONCOLOGY, 2006, 8 (04) : 494 - 494
  • [33] In vivo multiphoton and fluorescence lifetime imaging microscopy of the healthy and cholestatic liver
    Kuznetsova, Daria S.
    Dudenkova, Varvara V.
    Rodimova, Svetlana A.
    Bobrov, Nikolai V.
    Zagainov, Vladimir E.
    Zagaynova, Elena V.
    MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XVIII, 2018, 10498
  • [34] Fluorescent naphthalimide boronates as theranostics: structural investigations, confocal fluorescence and multiphoton fluorescence lifetime imaging microscopy in living cells
    Green, Megan J.
    Ge, Haobo
    Flower, Stephen E.
    Pourzand, Charareh
    Botchway, Stanley W.
    Wang, Hui-Chen
    Kuganathan, Navaratnarajah
    Kociok-Kohn, Gabriele
    Li, Meng
    Xu, Suying
    James, Tony D.
    Pascu, Sofia I.
    RSC CHEMICAL BIOLOGY, 2023, 4 (12): : 1082 - 1095
  • [35] Non-invasive imaging of skin physiology and percutaneous penetration using fluorescence spectral and lifetime imaging with multiphoton and confocal microscopy
    Roberts, Michael S.
    Dancik, Yuri
    Prow, Tarl W.
    Thorling, Camilla A.
    Lin, Lynlee L.
    Grice, Jeffrey E.
    Robertson, Thomas A.
    Koenig, Karsten
    Becker, Wolfgang
    EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS, 2011, 77 (03) : 469 - 488
  • [36] Dermoscopy combined with reflectance confocal microscopy for basal cell carcinoma diagnosis
    Xianhe Deng
    Ziyu Guo
    Ping Wang
    Yang Lu
    Weiwei Wu
    Archives of Dermatological Research, 317 (1)
  • [37] Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy
    Campanella, Gabriele
    Navarrete-Dechent, Cristian
    Liopyris, Konstantinos
    Monnier, Jilliana
    Aleissa, Saud
    Minhas, Brahmteg
    Scope, Alon
    Longo, Caterina
    Guitera, Pascale
    Pellacani, Giovanni
    Kose, Kivanc
    Halpern, Allan C.
    Fuchs, Thomas J.
    Jain, Manu
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2022, 142 (01) : 97 - 103
  • [38] In vivo reflectance confocal microscopy of basal cell carcinoma with cystic degeneration
    Caruntu, Constantin
    Boda, Daniel
    Gutu, Daniela Elena
    Caruntu, Ana
    ROMANIAN JOURNAL OF MORPHOLOGY AND EMBRYOLOGY, 2014, 55 (04): : 1437 - 1441
  • [39] In vivo Diagnosis of Basal Cell Carcinoma Subtype by Reflectance Confocal Microscopy
    Peppelman, Malou
    Wolberink, Esther A. W.
    Blokx, Willeke A. M.
    van de Kerkhof, Peter C. M.
    van Erp, Piet E. J.
    Gerritsen, Marie-Jeanne P.
    DERMATOLOGY, 2013, 227 (03) : 255 - 262
  • [40] High Resolution Imaging of the Human Cardiac Conduction System Using Reflectance Confocal Microscopy
    Venius, Jonas
    Zurauskas, Edvardas
    Rotomskis, Ricardas
    TOHOKU JOURNAL OF EXPERIMENTAL MEDICINE, 2013, 229 (01): : 67 - 73