OBJECTIVE: The purpose of this study was to assess the in vivo optical detection of high-grade cervical intraepithelial neoplasia (2/3+) on the whole cervix with a noncontact, spectroscopic device. STUDY DESIGN: Cervical scanning devices collected intrinsic fluorescence and broadband white light spectra and video images from 604 women during routine colposcopy examinations at 6 clinical centers. A statistically significant dataset was developed of intrinsic fluorescence and white light-induced cervical tissue spectra that was correlated to expert histopathologic determination. On the basis of a retrospective analysis of the acquired data, a classification algorithm was developed, validated, and optimized. RESULTS: Intrinsic fluorescence, backscattered white light, and video imaging each contribute complementary information to diagnostic algorithms for high-grade cervical neoplasia. More than 10000 measurements that were made on colposcopically identified tissue from >500 subjects were the basis for algorithm training and testing. Algorithm performance demonstrated a sensitivity of approximately 90%. This performance was confirmed by various training methods. With the use of a multivariate classification algorithm, optical detection is predicted to detect 33% more high-grade cervical intraepithelial neoplasia (2/3+) than colposcopy alone. CONCLUSION: Full cervix optical interrogation for the detection of high-grade cervical intraepithelial neoplasia is feasible and appears capable of detecting more high-grade cervical intraepithelial neoplasia than colposcopy alone. With the use of this classification algorithm, a multisite, randomized controlled trial is underway that compares the combination of optical detection and colposcopy versus colposcopy alone.
OBJECTIVE: The purpose of this study was to assess the in vivo optical detection of high-grade cervical intraepithelial neoplasia (2/3+) on the whole cervix with a noncontact, spectroscopic device. STUDY DESIGN: Cervical scanning devices collected intrinsic fluorescence and broadband white light spectra and video images from 604 women during routine colposcopy examinations at 6 clinical centers. A statistically significant dataset was developed of intrinsic fluorescence and white light-induced cervical tissue spectra that was correlated to expert histopathologic determination. On the basis of a retrospective analysis of the acquired data, a classification algorithm was developed, validated, and optimized. RESULTS: Intrinsic fluorescence, backscattered white light, and video imaging each contribute complementary information to diagnostic algorithms for high-grade cervical neoplasia. More than 10000 measurements that were made on colposcopically identified tissue from >500 subjects were the basis for algorithm training and testing. Algorithm performance demonstrated a sensitivity of approximately 90%. This performance was confirmed by various training methods. With the use of a multivariate classification algorithm, optical detection is predicted to detect 33% more high-grade cervical intraepithelial neoplasia (2/3+) than colposcopy alone. CONCLUSION: Full cervix optical interrogation for the detection of high-grade cervical intraepithelial neoplasia is feasible and appears capable of detecting more high-grade cervical intraepithelial neoplasia than colposcopy alone. With the use of this classification algorithm, a multisite, randomized controlled trial is underway that compares the combination of optical detection and colposcopy versus colposcopy alone.
Authors: Condon Lau; Jelena Mirkovic; Chung-Chieh Yu; Geoff P O'Donoghue; Luis Galindo; Ramachandra Dasari; Antonio de las Morenas; Michael Feld; Elizabeth Stier Journal: J Biomed Opt Date: 2013-07 Impact factor: 3.170
Authors: Scott B Cantor; Jose-Miguel Yamal; Martial Guillaud; Dennis D Cox; E Neely Atkinson; John L Benedet; Dianne Miller; Thomas Ehlen; Jasenka Matisic; Dirk van Niekerk; Monique Bertrand; Andrea Milbourne; Helen Rhodes; Anais Malpica; Gregg Staerkel; Shahla Nader-Eftekhari; Karen Adler-Storthz; Michael E Scheurer; Karen Basen-Engquist; Eileen Shinn; Loyd A West; Anne-Therese Vlastos; Xia Tao; J Robert Beck; Calum Macaulay; Michele Follen Journal: Int J Cancer Date: 2010-11-09 Impact factor: 7.396
Authors: Jose-Miguel Yamal; Getie A Zewdie; Dennis D Cox; E Neely Atkinson; Scott B Cantor; Calum MacAulay; Kalatu Davies; Isaac Adewole; Timon P H Buys; Michele Follen Journal: J Biomed Opt Date: 2012-04 Impact factor: 3.170
Authors: Vijayvel Jayaprakash; Maureen Sullivan; Mihai Merzianu; Nestor R Rigual; Thom R Loree; Saurin R Popat; Kirsten B Moysich; Soumya Ramananda; Timothy Johnson; James R Marshall; Alan D Hutson; Thomas S Mang; Brian C Wilson; Steven R Gill; Jennifer Frustino; Arjen Bogaards; Mary E Reid Journal: Cancer Prev Res (Phila) Date: 2009-11