Literature DB >> 30460120

Feasibility of co-registered ultrasound and acoustic-resolution photoacoustic imaging of human colorectal cancer.

Xiandong Leng1, William Chapman2, Bin Rao1,3, Sreyankar Nandy1, Ruimin Chen4, Rehan Rais5, Ivan Gonzalez5, Qifa Zhou4,6, Deyali Chatterjee5, Matthew Mutch2, Quing Zhu1,7.   

Abstract

Colorectal cancer is the second leading cause of cancer death in the United States. Significant limitations in screening and surveillance modalities continue to hamper early detection of primary cancers or recurrences after therapy. In this study, we describe a new registered ultrasound (US) and acoustic-resolution photoacoustic microscopy (AR-PAM) system and report its initial testing in ex vivo human colorectal tissue. A total of 8 colorectal specimens were imaged, which included 2 polyps, 4 malignant colon cancers, and 2 treated colorectal cancers. In each specimen, normal tissue was also imaged for internal control. Initial data have demonstrated the feasibility of identifying colorectal cancer imaging features and the invasion depth using co-registered US and an AR-PAM system. In normal tissue, we found that our system consistently demonstrates the multi-layer structure of normal colonic tissue while differentiating layers with elevated vascularity; these findings highly correlated with histologic findings of each specimen. For malignant colorectal samples, the tissue structure is highly disorganized as seen in US, and photoacoustic imaging revealed distorted vascular distribution inside the tumor. Notably, AR-PAM of tumor beds after complete tumor destruction by radiation and chemotherapy yielded a pattern identical to benign tissue. Quantitative analysis of photoacoustic spectral slope has demonstrated more high-frequency components in malignant tissue as compared to the normal colon tissue, which may be caused by significantly increased microvessel networks. In summary, we demonstrate the successful differentiation of benign and malignant colorectal tissue with our co-registered ultrasound and photoacoustic system.

Entities:  

Year:  2018        PMID: 30460120      PMCID: PMC6238928          DOI: 10.1364/BOE.9.005159

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  12 in total

1.  Probing red blood cell morphology using high-frequency photoacoustics.

Authors:  Eric M Strohm; Elizabeth S L Berndl; Michael C Kolios
Journal:  Biophys J       Date:  2013-07-02       Impact factor: 4.033

Review 2.  Photoacoustic imaging and characterization of the microvasculature.

Authors:  Song Hu; Lihong V Wang
Journal:  J Biomed Opt       Date:  2010 Jan-Feb       Impact factor: 3.170

Review 3.  Photoacoustic tomography: in vivo imaging from organelles to organs.

Authors:  Lihong V Wang; Song Hu
Journal:  Science       Date:  2012-03-23       Impact factor: 47.728

4.  Photoacoustic Microscopy.

Authors:  Junjie Yao; Lihong V Wang
Journal:  Laser Photon Rev       Date:  2013-09-01       Impact factor: 13.138

5.  In vivo preclinical photoacoustic imaging of tumor vasculature development and therapy.

Authors:  Jan Laufer; Peter Johnson; Edward Zhang; Bradley Treeby; Ben Cox; Barbara Pedley; Paul Beard
Journal:  J Biomed Opt       Date:  2012-05       Impact factor: 3.170

6.  Coregistered photoacoustic and ultrasound imaging and classification of ovarian cancer: ex vivo and in vivo studies.

Authors:  Hassan S Salehi; Hai Li; Alex Merkulov; Patrick D Kumavor; Hamed Vavadi; Melinda Sanders; Angela Kueck; Molly A Brewer; Quing Zhu
Journal:  J Biomed Opt       Date:  2016-04-30       Impact factor: 3.170

7.  Colorectal cancer statistics, 2017.

Authors:  Rebecca L Siegel; Kimberly D Miller; Stacey A Fedewa; Dennis J Ahnen; Reinier G S Meester; Afsaneh Barzi; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2017-03-01       Impact factor: 508.702

8.  Optical-resolution photoacoustic endomicroscopy in vivo.

Authors:  Joon-Mo Yang; Chiye Li; Ruimin Chen; Bin Rao; Junjie Yao; Cheng-Hung Yeh; Amos Danielli; Konstantin Maslov; Qifa Zhou; K Kirk Shung; Lihong V Wang
Journal:  Biomed Opt Express       Date:  2015-02-23       Impact factor: 3.732

9.  The functional pitch of an organ: quantification of tissue texture with photoacoustic spectrum analysis.

Authors:  Guan Xu; Zhuo-Xian Meng; Jiandie D Lin; Jie Yuan; Paul L Carson; Bhuwan Joshi; Xueding Wang
Journal:  Radiology       Date:  2014-01-15       Impact factor: 11.105

10.  Simultaneous functional photoacoustic and ultrasonic endoscopy of internal organs in vivo.

Authors:  Joon-Mo Yang; Christopher Favazza; Ruimin Chen; Junjie Yao; Xin Cai; Konstantin Maslov; Qifa Zhou; K Kirk Shung; Lihong V Wang
Journal:  Nat Med       Date:  2012-07-15       Impact factor: 53.440

View more
  10 in total

1.  Cylindrical illumination with angular coupling for whole-prostate photoacoustic tomography.

Authors:  Brittani Bungart; Yingchun Cao; Tiffany Yang-Tran; Sean Gorsky; Lu Lan; Darren Roblyer; Michael O Koch; Liang Cheng; Timothy Masterson; Ji-Xin Cheng
Journal:  Biomed Opt Express       Date:  2019-02-22       Impact factor: 3.732

Review 2.  Recent advances toward clinical applications of photoacoustic microscopy: a review.

Authors:  Myeongsu Seong; Sung-Liang Chen
Journal:  Sci China Life Sci       Date:  2020-05-11       Impact factor: 6.038

3.  Adaptive Boosting (AdaBoost)-based multiwavelength spatial frequency domain imaging and characterization for ex vivo human colorectal tissue assessment.

Authors:  Shuying Li; Yifeng Zeng; William C Chapman; Mohsen Erfanzadeh; Sreyankar Nandy; Matthew Mutch; Quing Zhu
Journal:  J Biophotonics       Date:  2020-03-25       Impact factor: 3.207

4.  Photoacoustic laser effects in live mouse blastocysts: pilot safety studies of DNA damage from photoacoustic imaging doses.

Authors:  Erin Newcomer; Guang Yang; Bei Sun; Hongbo Luo; Duanwen Shen; Samuel Achilefu; Valerie Ratts; Joan Riley; John Yeh; Quing Zhu
Journal:  F S Sci       Date:  2020-07-14

5.  Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning.

Authors:  Xiandong Leng; K M Shihab Uddin; William Chapman; Hongbo Luo; Sitai Kou; Eghbal Amidi; Guang Yang; Deyali Chatterjee; Anup Shetty; Steve Hunt; Matthew Mutch; Quing Zhu
Journal:  Radiology       Date:  2021-03-23       Impact factor: 11.105

6.  High-Precision Assessment of Chemoradiotherapy of Rectal Cancer with Near-Infrared Photoacoustic Microscopy and Deep Learning.

Authors:  Alexander L Klibanov
Journal:  Radiology       Date:  2021-03-23       Impact factor: 11.105

7.  Co-registered photoacoustic and ultrasound imaging of human colorectal cancer.

Authors:  Guang Yang; Eghbal Amidi; William Chapman; Sreyankar Nandy; Atahar Mostafa; Heba Abdelal; Zahra Alipour; Deyali Chatterjee; Matthew Mutch; Quing Zhu
Journal:  J Biomed Opt       Date:  2019-11       Impact factor: 3.170

Review 8.  Scanning and Actuation Techniques for Cantilever-Based Fiber Optic Endoscopic Scanners-A Review.

Authors:  Mandeep Kaur; Pierre M Lane; Carlo Menon
Journal:  Sensors (Basel)       Date:  2021-01-02       Impact factor: 3.576

9.  Rectal Cancer Treatment Management: Deep-Learning Neural Network Based on Photoacoustic Microscopy Image Outperforms Histogram-Feature-Based Classification.

Authors:  Xiandong Leng; Eghbal Amidi; Sitai Kou; Hassam Cheema; Ebunoluwa Otegbeye; William Jr Chapman; Matthew Mutch; Quing Zhu
Journal:  Front Oncol       Date:  2021-09-23       Impact factor: 5.738

10.  Photoacoustic imaging of fresh human surgically and endoscopically resected gastrointestinal specimens.

Authors:  Hiroaki Ikematsu; Miya Ishihara; Shinpei Okawa; Tatsunori Minamide; Tomohiro Mitsui; Takeshi Kuwata; Masaaki Ito; Takahiro Kinoshita; Takeo Fujita; Tomonori Yano; Toshihiko Omori; Satoshi Ozawa; Dai Murakoshi; Kaku Irisawa; Atsushi Ochiai
Journal:  DEN open       Date:  2021-08-16
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.