Aditi Sahu1, Oriol Yélamos1,2, Nicusor Iftimia3, Miguel Cordova1, Christi Alessi-Fox4, Melissa Gill5,6, Gopi Maguluri3, Stephen W Dusza1, Cristián Navarrete-Dechent1,7, Salvador González1,8,9, Anthony M Rossi1, Ashfaq A Marghoob1, Milind Rajadhyaksha1, Chih-Shan J Chen1. 1. Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. 2. Department of Dermatology, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain. 3. Biomedical Optics Technologies Group, Physical Sciences Inc, Andover, Massachusetts. 4. Clinical Development, Caliber Imaging and Diagnostics Inc, Rochester, New York. 5. SkinMedical Research and Diagnostics, PLLC, Dobbs Ferry, New York. 6. Department of Pathology, SUNY Downstate Medical Center, Brooklyn, New York. 7. Department of Dermatology, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile. 8. Medicine and Medical Specialties Department, Instituto Ramon y Cajal de Investigacion Sanitaria, Alcalá University, Madrid, Spain. 9. Department of Dermatology, Alcalá University, Madrid, Spain.
Abstract
Importance: The limited tissue sampling of a biopsy can lead to an incomplete assessment of basal cell carcinoma (BCC) subtypes and depth. Reflectance confocal microscopy (RCM) combined with optical coherence tomography (OCT) imaging may enable real-time, noninvasive, comprehensive three-dimensional sampling in vivo, which may improve the diagnostic accuracy and margin assessment of BCCs. Objective: To determine the accuracy of a combined RCM-OCT device for BCC detection and deep margin assessment. Design, Setting, and Participants: This pilot study was carried out on 85 lesions from 55 patients referred for physician consultation or Mohs surgery at Memorial Sloan Kettering Skin Cancer Center in Hauppauge, New York. These patients were prospectively and consecutively enrolled in the study between January 1, 2017, and December 31, 2017. Patients underwent imaging, with the combined RCM-OCT probe, for previously biopsied, histopathologically confirmed BCCs and lesions clinically or dermoscopically suggestive of BCC. Only patients with available histopathologic examination after imaging were included. Main Outcomes and Measures: Improvements in sensitivity, specificity, and diagnostic accuracy for BCC using the combined RCM-OCT probe as well as the correlation between OCT-estimated depth and histopathologically measured depth were investigated. Results: In total, 85 lesions from 55 patients (27 [49%] were female and 28 [51%] were male with a median [range] age of 59 [21-90] years) were imaged. Imaging was performed on 25 previously biopsied and histopathologically confirmed BCCs and 60 previously nonbiopsied but clinically or dermoscopically suspicious lesions. Normal skin and BCC features were correlated and validated with histopathologic examination. In previously biopsied lesions, residual tumors were detected in 12 of 25 (48%) lesions with 100% sensitivity (95% CI, 73.5%-100%) and 23.1% specificity (95% CI, 5.0%-53.8%) for combined RCM-OCT probe. In previously nonbiopsied and suspicious lesions, BCCs were diagnosed in 48 of 60 (80%) lesions with 100% sensitivity (95% CI, 92.6%-100%) and 75% specificity (95% CI, 42.8%-94.5%). Correlation was observed between depth estimated with OCT and depth measured with histopathologic examination: the coefficient of determination (R2) was 0.75 (R = 0.86; P < .001) for all lesions, 0.73 (R = 0.85; P < .001) for lesions less than 500 μm deep, and 0.65 (R = 0.43; P < .001) for lesions greater than 500 μm deep. Conclusions and Relevance: Combined RCM-OCT imaging may be prospectively used to comprehensively diagnose lesions suggestive of BCC and triage for treatment. Further validation of this device must be performed on a larger cohort.
Importance: The limited tissue sampling of a biopsy can lead to an incomplete assessment of basal cell carcinoma (BCC) subtypes and depth. Reflectance confocal microscopy (RCM) combined with optical coherence tomography (OCT) imaging may enable real-time, noninvasive, comprehensive three-dimensional sampling in vivo, which may improve the diagnostic accuracy and margin assessment of BCCs. Objective: To determine the accuracy of a combined RCM-OCT device for BCC detection and deep margin assessment. Design, Setting, and Participants: This pilot study was carried out on 85 lesions from 55 patients referred for physician consultation or Mohs surgery at Memorial Sloan Kettering Skin Cancer Center in Hauppauge, New York. These patients were prospectively and consecutively enrolled in the study between January 1, 2017, and December 31, 2017. Patients underwent imaging, with the combined RCM-OCT probe, for previously biopsied, histopathologically confirmed BCCs and lesions clinically or dermoscopically suggestive of BCC. Only patients with available histopathologic examination after imaging were included. Main Outcomes and Measures: Improvements in sensitivity, specificity, and diagnostic accuracy for BCC using the combined RCM-OCT probe as well as the correlation between OCT-estimated depth and histopathologically measured depth were investigated. Results: In total, 85 lesions from 55 patients (27 [49%] were female and 28 [51%] were male with a median [range] age of 59 [21-90] years) were imaged. Imaging was performed on 25 previously biopsied and histopathologically confirmed BCCs and 60 previously nonbiopsied but clinically or dermoscopically suspicious lesions. Normal skin and BCC features were correlated and validated with histopathologic examination. In previously biopsied lesions, residual tumors were detected in 12 of 25 (48%) lesions with 100% sensitivity (95% CI, 73.5%-100%) and 23.1% specificity (95% CI, 5.0%-53.8%) for combined RCM-OCT probe. In previously nonbiopsied and suspicious lesions, BCCs were diagnosed in 48 of 60 (80%) lesions with 100% sensitivity (95% CI, 92.6%-100%) and 75% specificity (95% CI, 42.8%-94.5%). Correlation was observed between depth estimated with OCT and depth measured with histopathologic examination: the coefficient of determination (R2) was 0.75 (R = 0.86; P < .001) for all lesions, 0.73 (R = 0.85; P < .001) for lesions less than 500 μm deep, and 0.65 (R = 0.43; P < .001) for lesions greater than 500 μm deep. Conclusions and Relevance: Combined RCM-OCT imaging may be prospectively used to comprehensively diagnose lesions suggestive of BCC and triage for treatment. Further validation of this device must be performed on a larger cohort.
Authors: Sarita Nori; Francisca Rius-Díaz; Jesus Cuevas; Mark Goldgeier; Pedro Jaen; Abel Torres; Salvador González Journal: J Am Acad Dermatol Date: 2004-12 Impact factor: 11.527
Authors: Suzanne M Connolly; Diane R Baker; Brett M Coldiron; Michael J Fazio; Paul A Storrs; Allison T Vidimos; Mark J Zalla; Jerry D Brewer; Wendy Smith Begolka; Timothy G Berger; Michael Bigby; Jean L Bolognia; David G Brodland; Scott Collins; Terrence A Cronin; Mark V Dahl; Jane M Grant-Kels; C William Hanke; George J Hruza; William D James; Clifford Warren Lober; Elizabeth I McBurney; Scott A Norton; Randall K Roenigk; Ronald G Wheeland; Oliver J Wisco Journal: J Am Acad Dermatol Date: 2012-09-05 Impact factor: 11.527
Authors: Oriol Yélamos; Miguel Cordova; Nina Blank; Kivanc Kose; Stephen W Dusza; Erica Lee; Milind Rajadhyaksha; Kishwer S Nehal; Anthony M Rossi Journal: JAMA Dermatol Date: 2017-12-01 Impact factor: 10.282
Authors: Pascale Guitera; Scott W Menzies; Caterina Longo; Anna M Cesinaro; Richard A Scolyer; Giovanni Pellacani Journal: J Invest Dermatol Date: 2012-06-21 Impact factor: 8.551
Authors: Giovanni Pellacani; Marco Vinceti; Sara Bassoli; Ralph Braun; Salvador Gonzalez; Pascale Guitera; Caterina Longo; Ashfaq A Marghoob; Scott W Menzies; Susana Puig; Alon Scope; Stefania Seidenari; Josep Malvehy Journal: Arch Dermatol Date: 2009-10
Authors: John Y S Kim; Jeffrey H Kozlow; Bharat Mittal; Jeffrey Moyer; Thomas Olencki; Phillip Rodgers Journal: J Am Acad Dermatol Date: 2018-01-10 Impact factor: 11.527
Authors: Daniel J Kadouch; Albert Wolkerstorfer; Yannick Elshot; Biljana Zupan-Kajcovski; Marianne B Crijns; Markus V Starink; Marcel W Bekkenk; Allard C van der Wal; Phyllis I Spuls; Menno A de Rie Journal: JMIR Res Protoc Date: 2015-09-10
Authors: Saud Aleissa; Cristian Navarrete-Dechent; Miguel Cordova; Aditi Sahu; Stephen W Dusza; William Phillips; Anthony Rossi; Erica Lee; Kishwer S Nehal Journal: J Am Acad Dermatol Date: 2019-10-18 Impact factor: 11.527
Authors: E Flores; O Yélamos; M Cordova; K Kose; W Phillips; E H Lee; A Rossi; K Nehal; M Rajadhyaksha Journal: J Eur Acad Dermatol Venereol Date: 2019-03-15 Impact factor: 6.166
Authors: Cristian Navarrete-Dechent; Konstantinos Liopyris; Ayelet Rishpon; Nadeem G Marghoob; Miguel Cordova; Stephen W Dusza; Aditi Sahu; Kivanc Kose; Margaret Oliviero; Harold Rabinovitz; Klaus J Busam; Michael A Marchetti; Chih-Chan J Chen; Ashfaq A Marghoob Journal: JAMA Dermatol Date: 2020-08-01 Impact factor: 10.282
Authors: Cristian Navarrete-Dechent; Saud Aleissa; Miguel Cordova; Konstantinos Liopyris; Aditi Sahu; Anthony M Rossi; Erica H Lee; Kishwer S Nehal Journal: Arch Dermatol Res Date: 2020-02-04 Impact factor: 3.017