Naum Papanicolau
Sunnybrook Health Sciences Centre
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Featured researches published by Naum Papanicolau.
Clinical Cancer Research | 2013
Ali Sadeghi-Naini; Naum Papanicolau; Omar Falou; Judit Zubovits; Rebecca Dent; Sunil Verma; Maureen E. Trudeau; Jean Francois Boileau; Jacqueline Spayne; Sara Iradji; Ervis Sofroni; Justin Lee; Sharon Lemon-Wong; Martin J. Yaffe; Michael C. Kolios; Gregory J. Czarnota
Purpose: Quantitative ultrasound techniques have been recently shown to be capable of detecting cell death through studies conducted on in vitro and in vivo models. This study investigates for the first time the potential of early detection of tumor cell death in response to clinical cancer therapy administration in patients using quantitative ultrasound spectroscopic methods. Experimental Design: Patients (n = 24) with locally advanced breast cancer received neoadjuvant chemotherapy treatments. Ultrasound data were collected before treatment onset and at 4 times during treatment (weeks 1, 4, and 8, and preoperatively). Quantitative ultrasound parameters were evaluated for clinically responsive and nonresponding patients. Results: Results indicated that quantitative ultrasound parameters showed significant changes for patients who responded to treatment, and no similar alteration was observed in treatment-refractory patients. Such differences between clinically and pathologically determined responding and nonresponding patients were statistically significant (P < 0.05) after 4 weeks of chemotherapy. Responding patients showed changes in parameters related to cell death with, on average, an increase in mid-band fit and 0-MHz intercept of 9.1 ± 1.2 dBr and 8.9 ± 1.9 dBr, respectively, whereas spectral slope was invariant. Linear discriminant analysis revealed a sensitivity of 100% and a specificity of 83.3% for distinguishing nonresponding patients by the fourth week into a course of chemotherapy lasting several months. Conclusion: This study reports for the first time that quantitative ultrasound spectroscopic methods can be applied clinically to evaluate cancer treatment responses noninvasively. The results form a basis for monitoring chemotherapy effects and facilitating the personalization of cancer treatment. Clin Cancer Res; 19(8); 2163–74. ©2013 AACR.
Medical Physics | 2013
Ali Sadeghi-Naini; Naum Papanicolau; Omar Falou; Hadi Tadayyon; Justin Lee; Judit Zubovits; Alireza Sadeghian; Raffi Karshafian; Azza Al-Mahrouki; Anoja Giles; Michael C. Kolios; Gregory J. Czarnota
PURPOSE Currently, no clinical imaging modality is used routinely to assess tumor response to cancer therapies within hours to days of the delivery of treatment. Here, the authors demonstrate the efficacy of ultrasound at a clinically relevant frequency to quantitatively detect changes in tumors in response to cancer therapies using preclinical mouse models. METHODS Conventional low-frequency and corresponding high-frequency ultrasound (ranging from 4 to 28 MHz) were used along with quantitative spectroscopic and signal envelope statistical analyses on data obtained from xenograft tumors treated with chemotherapy, x-ray radiation, as well as a novel vascular targeting microbubble therapy. RESULTS Ultrasound-based spectroscopic biomarkers indicated significant changes in cell-death associated parameters in responsive tumors. Specifically changes in the midband fit, spectral slope, and 0-MHz intercept biomarkers were investigated for different types of treatment and demonstrated cell-death related changes. The midband fit and 0-MHz intercept biomarker derived from low-frequency data demonstrated increases ranging approximately from 0 to 6 dBr and 0 to 8 dBr, respectively, depending on treatments administrated. These data paralleled results observed for high-frequency ultrasound data. Statistical analysis of ultrasound signal envelope was performed as an alternative method to obtain histogram-based biomarkers and provided confirmatory results. Histological analysis of tumor specimens indicated up to 61% cell death present in the tumors depending on treatments administered, consistent with quantitative ultrasound findings indicating cell death. Ultrasound-based spectroscopic biomarkers demonstrated a good correlation with histological morphological findings indicative of cell death (r2=0.71, 0.82; p<0.001). CONCLUSIONS In summary, the results provide preclinical evidence, for the first time, that quantitative ultrasound used at a clinically relevant frequency, in addition to high-frequency ultrasound, can detect tissue changes associated with cell death in vivo in response to cancer treatments.
Translational Oncology | 2015
Ali Sadeghi-Naini; Ervis Sofroni; Naum Papanicolau; Omar Falou; Linda Sugar; Gerard Morton; Martin J. Yaffe; Robert K. Nam; Alireza Sadeghian; Michael C. Kolios; Hans T. Chung; Gregory J. Czarnota
Three-dimensional quantitative ultrasound spectroscopic imaging of prostate was investigated clinically for the noninvasive detection and extent characterization of disease in cancer patients and compared to whole-mount, whole-gland histopathology of radical prostatectomy specimens. Fifteen patients with prostate cancer underwent a volumetric transrectal ultrasound scan before radical prostatectomy. Conventional-frequency (~ 5 MHz) ultrasound images and radiofrequency data were collected from patients. Normalized power spectra were used as the basis of quantitative ultrasound spectroscopy. Specifically, color-coded parametric maps of 0-MHz intercept, midband fit, and spectral slope were computed and used to characterize prostate tissue in ultrasound images. Areas of cancer were identified in whole-mount histopathology specimens, and disease extent was correlated to that estimated from quantitative ultrasound parametric images. Midband fit and 0-MHz intercept parameters were found to be best associated with the presence of disease as located on histopathology whole-mount sections. Obtained results indicated a correlation between disease extent estimated noninvasively based on midband fit parametric images and that identified histopathologically on prostatectomy specimens, with an r2 value of 0.71 (P < .0001). The 0-MHz intercept parameter demonstrated a lower level of correlation with histopathology. Spectral slope parametric maps offered no discrimination of disease. Multiple regression analysis produced a hybrid disease characterization model (r2 = 0.764, P < .05), implying that the midband fit biomarker had the greatest correlation with the histopathologic extent of disease. This work demonstrates that quantitative ultrasound spectroscopic imaging can be used for detecting prostate cancer and characterizing disease extent noninvasively, with corresponding gross three-dimensional histopathologic correlation.
Journal of the Acoustical Society of America | 2010
Naum Papanicolau; Rebecca Dent; Jacqueline Spayne; Michael C. Kolios; Ervis Sofroni; Sara Iraji; Gregory J. Czarnota
The aim of many cancer therapies is to induce cell death within a target tumor. A substantial body of research using in vitro and in vivo models has demonstrated that cell death can be detected via quantitative ultrasound techniques. This study investigates for the first time the potential to quantify tumor responses to therapy in patients, using spectral and signal envelope statistics analysis of ultrasound data. A clinical study was undertaken investigating the efficacy of ultrasound to quantify cell death in tumor responses with cancer treatment. Patients (n=20) with locally advanced breast cancer received anthracyline and taxane‐based chemotherapy treatments. Data collection consisted of acquiring tumor images and radiofrequency data prior to treatment onset and at 4 times during treatment (weeks 1, 4, and 8, and preoperatively). Data indicate increases of approximately 9 dBr (±1.67) in ultrasound backscatter in patients who responded to treatment. Patients assessed as responding poorly demonstrated s...
Oncoscience | 2016
William T. Tran; Lakshmanan Sannachi; Naum Papanicolau; Hadi Tadayyon; Azza Al Mahrouki; Ahmed El Kaffas; Alborz Gorjizadeh; Justin Lee; Gregory J. Czarnota
Background and Aims Quantitative ultrasound (QUS) was investigated to monitor bladder cancer treatment response in vivo and to evaluate tumor cell death from combined treatments using ultrasound-stimulated microbubbles and radiation therapy. Methods Tumor-bearing mice (n=45), with bladder cancer xenografts (HT- 1376) were exposed to 9 treatment conditions consisting of variable concentrations of ultrasound-stimulated Definity microbubbles [nil, low (1%), high (3%)], combined with single fractionated doses of radiation (0 Gy, 2 Gy, 8 Gy). High frequency (25 MHz) ultrasound was used to collect the raw radiofrequency (RF) data of the backscatter signal from tumors prior to, and 24 hours after treatment in order to obtain QUS parameters. The calculated QUS spectral parameters included the mid-band fit (MBF), and 0-MHz intercept (SI) using a linear regression analysis of the normalized power spectrum. Results and Conclusions There were maximal increases in QUS parameters following treatments with high concentration microbubbles combined with 8 Gy radiation: (ΔMBF = +6.41 ± 1.40 (±SD) dBr and SI= + 7.01 ± 1.20 (±SD) dBr. Histological data revealed increased cell death, and a reduction in nuclear size with treatments, which was mirrored by changes in quantitative ultrasound parameters. QUS demonstrated markers to detect treatment effects in bladder tumors in vivo.
Journal of the Acoustical Society of America | 2013
Gregory J. Czarnota; Ali Sadeghi-Naini; Naum Papanicolau; Omar Falou; Rebecca Dent; Sunil Verma; Maureen E. Trudeau; Jean-François Boileau; Jacqueline Spayne; Sara Iradji; Ervis Sofroni; Justin Lee; Sharon Lemon-Wong; Martin J. Yaffe; Michael C. Kolios
A clinical study was undertaken investigating the efficacy of ultrasound to quantify cell death in tumor responses with cancer treatment. Patients (n = 25) with locally advanced breast cancer received anthracyline and taxane-based chemotherapy treatments over four to six months. The majority of patients went on to have a modified radical mastectomy and correlative whole mount histopathology. Data collection was carried out using an Ultrasonix-RP and an L15-5 6 cm transducer pulsed at 10 MHz with RF data collected five times during neoadjuvant chemotherapy. Data indicated increases of approximately 9 dBr (+/−1.67) maximally in ultrasound backscatter in patients who clinically responded to treatment. Patients assessed as responding poorly demonstrated significantly lower increases (2.3 +/− 1.7 dBr). Increases in 0-MHz intercept followed similar trends while increases in spectral slope were observed locally from tumor regions demonstrating increases in tissue echogenicity. This study demonstrates the potenti...
Journal of the Acoustical Society of America | 2013
Gregory J. Czarnota; Ali Sadeghi-Naini; Naum Papanicolau; Omar Falou; Rebecca Dent; Sunil Verma; Maureen E. Trudeau; Jean Francois Boileau; Jacqueline Spayne; Sara Iradji; Ervis Sofroni; Justin Lee; Sharon Lemon-Wong; Martin J. Yaffe; Michael C. Kolios
Pre-clinical and clinical studies were undertaken investigating the efficacy of ultrasound to quantify cell death in tumor responses with cancer treatment. Animals bearing tumours (n=48), and patients (n=24) with locally advanced breast cancer received various therapies including for patients anthracyline and taxane-based chemotherapy treatments over four to six months. Tumour cell-death was assessed in specimens after treatment using histopathology. Pre-clinical ultrasound data collection was carried out at low-frequency and high-frequency. For human imaging, low-frequency ultrasound data were collected 5 times during neoadjuvant chemotherapy. Data indicated considerable increases in ultrasound backscatter in animal tumours after treatment. Similar findings were observed in patients who clinically responded to treatment. Patients assessed as responding poorly demonstrated significantly lower increases. Increases in 0-MHz intercept followed similar trends while increases in spectral slope were observed lo...
Journal of Clinical Oncology | 2012
Hans T. Chung; Ervis Sofrani; Naum Papanicolau; Linda Sugar; Gerard Morton; Martin J. Yaffe; Robert K. Nam; Gregory J. Czarnota
234 Background: The objective of this translational research was to investigate the use of real-time novel three-dimension, quantitative ultrasound-based spectroscopic imaging of the prostate as a means of cancer detection. METHODS Fourteen patients with T2-3 prostate cancer underwent a 6-9 MHz trans-rectal ultrasound scan of the prostate prior to radical prostatectomy. Equally spaced axial ultrasound images (0.5 cm separation) corresponding elasticity and spectroscopy data were collected in each patient. Colour-coded spectroscopic parametric maps of 0-Mhz intercept (0-Mhz), mid-band fit (MBF) and slope of line of best fit (slope) were generated indicating where the disease in the prostate gland is hypothetically located. Quantitative data (% volume of cancer over the prostate gland) were compared to whole-mount radical prostatectomy histopathology maps to determine the sensitivity and accuracy in parametrically delineating prostate cancer. RESULTS Representative data indicate spectral changes were associated with the presence of co-incident disease as located on correlative histopathology whole mount sections. Of the 14 patients enrolled, 7 have been analyzed and presented here. The mean % difference between 0-MHz and MBF, with H&E, was 14% (SD 38%) and 21% (SD 24%), respectively. Gross areas of disease were readily visualized in ultrasound parametric maps and corresponded to a maximum 10dB decrease in 0-MHz or MBF. Parametric maps generated from the spectral slope offered no discrimination of disease. There were differences in scatterer size estimates and scatter concentration estimates between putative disease areas and the remaining tissue. CONCLUSIONS Initial results suggest that there is good correlation between spectroscopic maps with disease on whole-mount specimens. This method may ultimately permit ultrasound-guided targeted biopsies to improve detection rates and non-invasive assessment of disease for radiotherapy planning.
Journal of the Acoustical Society of America | 2010
Naum Papanicolau; Raffi Karshafian; Alireza Sadeghian; Michael C. Kolios; Gregory J. Czarnota
In this study, we investigate for the first time the potential to quantify tumor responses to therapy in vivo, using spectral and signal envelope statistics analysis of conventional frequency ultrasound data. Tumors were grown in SCID mice using a human prostate cell line (PC‐3) and treated in three groups consisting of combinations of ultrasonically stimulated micro‐bubble anti‐angiogenic treatment and 8 Gy doses of single fraction 100 kVp X‐ray radiation. Data collection consisted of tumor images in addition to radiofrequency data prior to treatment administration and at 24 h following. Analysis of the normalized power spectra of 10‐MHz data yielded an increase in mid‐band fit of approximately 3.8±0.7, 4.6±0.8, and 5.8±0.7 dBr compared to data acquired before treatment. Spectral slopes were relatively invariant. However, the 0‐MHz intercept followed the trend of the mid‐band fit. Signal envelope changes were compatible with observations made from spectral data and linked to correlative increases in cell...
Translational Oncology | 2013
Omar Falou; Ali Sadeghi-Naini; Sameera Prematilake; Ervis Sofroni; Naum Papanicolau; Sara Iradji; Zahra Jahedmotlagh; Sharon Lemon-Wong; Jean-Philippe Pignol; Eileen Rakovitch; Judit Zubovits; Jacqueline Spayne; Rebecca Dent; Maureen E. Trudeau; Jean Francois Boileau; Frances C. Wright; Martin J. Yaffe; Gregory J. Czarnota