Emerging technology for intraoperative margin assessment and post-operative tissue diagnosis for breast-conserving surgery

Aref, Mohamed Hisham; El-Gohary, Mohamed; Elrewainy, Ahmed; Mahmoud, Alaaeldin; Aboughaleb, Ibrahim H.; Hussein, Abdallah Abdelkader; El-Ghaffar, Sara Abd; Mahran, Ashraf; El-Sharkawy, Yasser H.

doi:10.1016/j.pdpdt.2023.103507

Cited by 12 publications

(4 citation statements)

References 59 publications

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“…10, we might apply our methodology using LIF to unknown breast samples with promising outcomes in BC instant detection. BC diagnosis demands utmost sensitivity and specificity, making the binary classification approach a vital aspect of our study [42,49]. Our meticulous examination at the wavelength of 561 nm has yielded highquality outcomes.…”

Section: Results and Analysismentioning

confidence: 99%

“…Furthermore, we implemented rapid image segmentation using the k-mc approach with contour delineation (K = 8). The motivation behind utilizing the k-mc with delineation approach in our study lies in its potential to enhance the accuracy and efficiency of BC detection and delineation [42]. Traditional imaging techniques often face challenges in precisely identifying the boundaries of malignant tissue and distinguishing it from healthy tissue.…”

Section: Introductionmentioning

confidence: 99%

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Delineation and detection of breast cancer using novel label-free fluorescence

Mahmoud,

El-Sharkawy

2023

BMC Med Imaging

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Background Accurate diagnosis of breast cancer (BC) plays a crucial role in clinical pathology analysis and ensuring precise surgical margins to prevent recurrence. Methods Laser-induced fluorescence (LIF) technology offers high sensitivity to tissue biochemistry, making it a potential tool for noninvasive BC identification. In this study, we utilized hyperspectral (HS) imaging data of stimulated BC specimens to detect malignancies based on altered fluorescence characteristics compared to normal tissue. Initially, we employed a HS camera and broadband spectrum light to assess the absorbance of BC samples. Notably, significant absorbance differences were observed in the 440–460 nm wavelength range. Subsequently, we developed a specialized LIF system for BC detection, utilizing a low-power blue laser source at 450 nm wavelength for ten BC samples. Results Our findings revealed that the fluorescence distribution of breast specimens, which carries molecular-scale structural information, serves as an effective marker for identifying breast tumors. Specifically, the emission at 561 nm exhibited the greatest variation in fluorescence signal intensity for both tumor and normal tissue, serving as an optical predictive biomarker. To enhance BC identification, we propose an advanced image classification technique that combines image segmentation using contour mapping and K-means clustering (K-mc, K = 8) for HS emission image data analysis. Conclusions This exploratory work presents a potential avenue for improving "in-vivo" disease characterization using optical technology, specifically our LIF technique combined with the advanced K-mc approach, facilitating early tumor diagnosis in BC.

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Section: Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Delineation and detection of breast cancer using novel label-free fluorescence

Mahmoud,

El-Sharkawy

2023

BMC Med Imaging

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“…By contrasting the results with the findings of the histology examinations, the effectiveness of the system analysis techniques offered is demonstrated. Equations ( 4 ), ( 5 ), and ( 6 ) illustrate three numerical values that may be assessed to examine the proposed MWI phase analysis technique based on the outcomes of these comparisons: Sen , Spec , and accuracy 21 , 41 . …”

Section: Methodsmentioning

confidence: 99%

“…In Ref. 21 , K-means clustering approach was employed to group the BC location based on the amplitude computations. Another study employed HS imaging data from stimulated BC specimens to identify malignancies by observing changes in fluorescence characteristics when compared to normal tissue 22 .…”

Section: Introductionmentioning

confidence: 99%

Multi-wavelength interference phase imaging for automatic breast cancer detection and delineation using diffuse reflection imaging

Mahmoud,

El-Sharkawy

2024

Sci Rep

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Millions of women globally are impacted by the major health problem of breast cancer (BC). Early detection of BC is critical for successful treatment and improved survival rates. In this study, we provide a progressive approach for BC detection using multi-wavelength interference (MWI) phase imaging based on diffuse reflection hyperspectral (HS) imaging. The proposed findings are based on the measurement of the interference pattern between the blue (446.6 nm) and red (632 nm) wavelengths. We consider implementing a comprehensive image processing and categorization method based on the use of Fast Fourier (FF) transform analysis pertaining to a change in the refractive index between tumor and normal tissue. We observed that cancer growth affects tissue organization dramatically, as seen by persistently increased refractive index variance in tumors compared normal areas. Both malignant and normal tissue had different depth data collected from it that was analyzed. To enhance the categorization of ex-vivo BC tissue, we developed and validated a training classifier algorithm specifically designed for categorizing HS cube data. Following the application of signal normalization with the FF transform algorithm, our methodology achieved a high level of performance with a specificity (Spec) of 94% and a sensitivity (Sen) of 90.9% for the 632 nm acquired image categorization, based on preliminary findings from breast specimens under investigation. Notably, we successfully leveraged unstained tissue samples to create 3D phase-resolved images that effectively highlight the distinctions in diffuse reflectance features between cancerous and healthy tissue. Preliminary data revealed that our imaging method might be able to assist specialists in safely excising malignant areas and assessing the tumor bed following resection automatically at different depths. This preliminary investigation might result in an effective "in-vivo" disease description utilizing optical technology using a typical RGB camera with wavelength-specific operation with our quantitative phase MWI imaging methodology.

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Instant plastic waste detection on shores using laser-induced fluorescence and associated hyperspectral imaging

Mahmoud,

El-Sharkawy

2024

Opt Quant Electron

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Plastic pollution is a rising environmental issue, with millions of tons of plastic debris collecting in the world's seas and on its shores. Hyperspectral imaging (HSI) has become increasingly widely used as a more precise approach that can identify targets in remote sensing aquatic missions. The interference from other beach materials, and the need for proper identification of litter types can make identifying dumped plastics on sand-surrounded beaches challenging. This study lays the groundwork for a physical laboratory setting for images captured by a hyperspectral (HS) imager. The suggested testing setup included the development of a fluorescence signature for the target theater of operations (low-density polyethylene (LD-PE) and wood surrounded by sand) for detecting polymers in a simulated beach environment using the laser-induced fluorescence (LIF) approach. Initially using broadband-spectrum light, strong sample diffuse reflectance contrast is observed in the imaging at wavelengths between 400 and 460 nm. Next, a dedicated LIF system for plastic litter discovery was developed using an ultraviolet (UV) laser source. Initial findings show that there is a distinct fluorescence signal for plastics at 450 nm and at 750 nm for wood. Our pilot studies support current efforts to determine the optimum spectral signature that these polymers will appear with clarity on shorelines using an inexpensive imagery combined with our UV LIF approach, which may have an impact on applications for the detection of beach pollution. The knowledge gained from this study can be used to construct reliable aerial conventional cameras for plastic waste environmental monitoring and management.

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Emerging technology for intraoperative margin assessment and post-operative tissue diagnosis for breast-conserving surgery

Cited by 12 publications

References 59 publications

Delineation and detection of breast cancer using novel label-free fluorescence

Delineation and detection of breast cancer using novel label-free fluorescence

Multi-wavelength interference phase imaging for automatic breast cancer detection and delineation using diffuse reflection imaging

Instant plastic waste detection on shores using laser-induced fluorescence and associated hyperspectral imaging

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