DK2238449T3 - Fremgangsmåde til skelnen mellem maligne og benigne vævslæsioner - Google Patents

Fremgangsmåde til skelnen mellem maligne og benigne vævslæsioner Download PDF

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Publication number
DK2238449T3
DK2238449T3 DK09703925.9T DK09703925T DK2238449T3 DK 2238449 T3 DK2238449 T3 DK 2238449T3 DK 09703925 T DK09703925 T DK 09703925T DK 2238449 T3 DK2238449 T3 DK 2238449T3
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Denmark
Prior art keywords
melanomas
entropies
weights
diagnostic
parameters
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DK09703925.9T
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English (en)
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Knut Stamnes
Lu Zhao
Jakob J Stamnes
Gennady Ryzhikov
Marina Biryulina
Boerge Hamre
Endre R Sommersten
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Balter Inc
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
    • A61B5/444—Evaluating skin marks, e.g. mole, nevi, tumour, scar
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0075—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G06T7/41—Analysis of texture based on statistical description of texture
    • G06T7/44—Analysis of texture based on statistical description of texture using image operators, e.g. filters, edge density metrics or local histograms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20036—Morphological image processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30088—Skin; Dermal

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dermatology (AREA)
  • Dentistry (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Radiology & Medical Imaging (AREA)
  • Probability & Statistics with Applications (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Quality & Reliability (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Claims (5)

1. Computer-baseret fremgangsmåde til optimering af en diagnostisk procedure til at skelne mellem benigne pigmenterede læsioner og maligne melanomer, hvilken fremgangsmåde omfatter trinnene at: opnå reflektansmålinger af en vævslæsion under anvendelse af en Optical Transfer Diagnosis (OTD) indretning; anvende afbildninger af syv fysiologiske parametre og morfologiske parametre genereret fra reflektansmålinger, hvor de fysiologiske og morfologiske parametre omfatter to eller flere procenter hæmoglobin, hæmoglobinoxygeringsprocent, øvre epidermistykkelse, nedre epidermistykkelse, øvre melanosomkoncentrationsprocent, nedre melanosomkoncentrationsprocent, og keratinkoncentrationsprocent, afbildningerne baseret på etableret absorptions- og transmissionsspektrer fra kendte hudchromoforer og matematisk modellering af hudreflektans; beregne ti rene morfologiske parametre fra reflektansmålinger; beregne entropier af hver af flerheden af afbildninger som summen af afbildede parametre ganget med en logaritme af parameteret og integreret over området af vævslæsionen; beregne krydsentropier af flerheden af afbildninger som korrelationen af beregnede entropier blandt hvert unikt par af flerheden af afbildninger; tildele en vægt til hver af en flerhed af elementer, hvilken flerhed af elementer omfatter: hver af disse entropier, logaritmen af hver af disse entropier, hver af disse krydsentropier, en logaritme af hver af disse krydsentropier, hver rene morfologiparameter, og en logaritme af hver rene morfologiparameter således at de tildelte vægte definerer en søjlevektor W på 76 vægte og flerheden af elementer til hvilke vægtene er tildelt definerer en søjlevektor P på 76 elementer; beregne et diagnostisk indeks D som WTP for et sæt melanomer som bestemt ved patologi, hvor WT er en transponering af søjlevektoren W på 76 vægte og P er søjlevektoren på 76 elementer; beregne gennemsnitsværdien μ af diagnostiske indekser for et sæt ikke-melanomer; definere en omkostningsfunktion J(W) omfattende en forskel mellem D og μ; definere en tærskelværdi for et diagnostisk indeks baseret på sættet af melanomer som bestemt ved patologi og sættet af ikke-melanomer hvor det diagnostiske indeks for melanomer er større end tærskelværdien og det diagnostiske indeks for ikke-melanomer er mindre end tærskelværdien; løse et optimeringsproblem ved iterativ justering af de tildelte vægte indtil et tal af falsk-negative er nul, et tal af falsk-positive er minimeret, og omkostningsfunktionen minimeres for at bestemme en optimeret vægtvektor der er afledt fra den initiale vægtvektor W med tildelte vægte således at den optimerede vægtvektor giver en specifikt større værdi end 90% ved 100% følsomhed for sættet af melanomer og sættet af ikke-melanomer.
2. Fremgangsmåden ifølge krav 1, hvor den diagnostiske procedure anvendes til at bedømme og overvåge vævsforandringer.
3. Fremgangsmåden ifølge krav 1, hvor den diagnostiske procedure anvendes for at bedømme skader på vævet.
4. Fremgangsmåden ifølge krav 1, hvor den diagnostiske procedure anvendes til at bedømme vævsforandringer med det formål at overvåge virkningen af forskellige slags behandlinger.
5. System konfigureret til at udføre fremgangsmådetrinnene ifølge krav 1.
DK09703925.9T 2008-01-24 2009-01-26 Fremgangsmåde til skelnen mellem maligne og benigne vævslæsioner DK2238449T3 (da)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US2324208P 2008-01-24 2008-01-24
US3750308P 2008-03-18 2008-03-18
PCT/US2009/031969 WO2009094623A2 (en) 2008-01-24 2009-01-26 Method for discriminating between malignant and benign tissue lesions

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US (2) US20110046894A1 (da)
EP (1) EP2238449B1 (da)
JP (1) JP5255072B2 (da)
AU (1) AU2009206293B2 (da)
CA (1) CA2712868C (da)
DK (1) DK2238449T3 (da)
NZ (1) NZ587375A (da)
WO (1) WO2009094623A2 (da)

Families Citing this family (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007081385A2 (en) 2006-01-11 2007-07-19 Raindance Technologies, Inc. Microfluidic devices and methods of use in the formation and control of nanoreactors
EP2530167A1 (en) 2006-05-11 2012-12-05 Raindance Technologies, Inc. Microfluidic Devices
US9562837B2 (en) 2006-05-11 2017-02-07 Raindance Technologies, Inc. Systems for handling microfludic droplets
WO2008097559A2 (en) 2007-02-06 2008-08-14 Brandeis University Manipulation of fluids and reactions in microfluidic systems
US8592221B2 (en) 2007-04-19 2013-11-26 Brandeis University Manipulation of fluids, fluid components and reactions in microfluidic systems
WO2009094623A2 (en) 2008-01-24 2009-07-30 Balter, Inc. Method for discriminating between malignant and benign tissue lesions
NZ588545A (en) 2008-03-18 2013-05-31 Balter Inc Optical method for determining morphological parameters and physiological properties of a lesion
US12038438B2 (en) 2008-07-18 2024-07-16 Bio-Rad Laboratories, Inc. Enzyme quantification
EP4047367A1 (en) 2008-07-18 2022-08-24 Bio-Rad Laboratories, Inc. Method for detecting target analytes with droplet libraries
WO2010111231A1 (en) 2009-03-23 2010-09-30 Raindance Technologies, Inc. Manipulation of microfluidic droplets
JP5565765B2 (ja) * 2009-04-22 2014-08-06 学校法人早稲田大学 メラノーマ鑑別指標の導出方法
EP4484577A3 (en) 2010-02-12 2025-03-26 Bio-Rad Laboratories, Inc. Digital analyte analysis
US9399797B2 (en) 2010-02-12 2016-07-26 Raindance Technologies, Inc. Digital analyte analysis
WO2012112804A1 (en) 2011-02-18 2012-08-23 Raindance Technoligies, Inc. Compositions and methods for molecular labeling
EP3216872B1 (en) 2011-06-02 2020-04-01 Bio-Rad Laboratories, Inc. Enzyme quantification
US8658430B2 (en) 2011-07-20 2014-02-25 Raindance Technologies, Inc. Manipulating droplet size
US11901041B2 (en) 2013-10-04 2024-02-13 Bio-Rad Laboratories, Inc. Digital analysis of nucleic acid modification
US9944977B2 (en) 2013-12-12 2018-04-17 Raindance Technologies, Inc. Distinguishing rare variations in a nucleic acid sequence from a sample
US10413232B2 (en) 2016-02-10 2019-09-17 Balter Medical, As. Optical transfer diagnosis for detection and monitoring of tissue disorders
JP6757054B2 (ja) * 2017-05-30 2020-09-16 国立大学法人東北大学 皮膚組織の病理画像を用いた診断支援のためのシステム及び方法
EP3505047A1 (en) * 2017-12-27 2019-07-03 Koninklijke Philips N.V. Device for imaging skin
EP3824347B1 (en) * 2018-07-16 2025-05-28 Swift Medical Inc. Apparatus for visualization of tissue
US12207935B2 (en) * 2021-07-02 2025-01-28 The Board Of Trustees Of Western Michigan University Quantitative image-based disorder analysis for early detection of melanoma type features

Family Cites Families (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5889881A (en) * 1992-10-14 1999-03-30 Oncometrics Imaging Corp. Method and apparatus for automatically detecting malignancy-associated changes
US5813988A (en) * 1995-02-03 1998-09-29 Research Foundation Time-resolved diffusion tomographic imaging in highly scattering turbid media
US7054674B2 (en) 1996-11-19 2006-05-30 Astron Clinica Limited Method of and apparatus for investigating tissue histology
GB9624003D0 (en) * 1996-11-19 1997-01-08 Univ Birmingham Method and apparatus for measurement of skin histology
EP1011446A1 (en) * 1997-02-28 2000-06-28 Electro-Optical Sciences, Inc. Systems and methods for the multispectral imaging and characterization of skin tissue
US6081612A (en) 1997-02-28 2000-06-27 Electro Optical Sciences Inc. Systems and methods for the multispectral imaging and characterization of skin tissue
US6307957B1 (en) * 1997-02-28 2001-10-23 Electro-Optical Sciences Inc Multispectral imaging and characterization of biological tissue
US6205353B1 (en) 1998-12-22 2001-03-20 Research Foundation Of Cuny Time-resolved optical backscattering tomographic image reconstruction in scattering turbid media
US20010032053A1 (en) * 2000-01-24 2001-10-18 Hielscher Andreas H. Imaging of a scattering medium using the equation of radiative transfer
JP3452883B2 (ja) * 2000-09-05 2003-10-06 広宣 沖井 画像処理を用いた生物組織評価方法
US6775405B1 (en) * 2000-09-29 2004-08-10 Koninklijke Philips Electronics, N.V. Image registration system and method using cross-entropy optimization
NO325061B1 (no) * 2001-03-06 2008-01-28 Photosense As Fremgangsmate og arrangement for bestemmelse av den optiske egenskap av et multisjiktvev
JP2003149136A (ja) 2001-11-13 2003-05-21 Shimadzu Corp 光画像計測方法
US7016529B2 (en) * 2002-03-15 2006-03-21 Microsoft Corporation System and method facilitating pattern recognition
US7218959B2 (en) * 2002-06-05 2007-05-15 Research Foundation Of City University Hybrid-dual-fourier tomographic algorithm for a fast three-dimensionial optical image reconstruction in turbid media
JP4437202B2 (ja) 2004-01-09 2010-03-24 学校法人慶應義塾 色素沈着部位の遠隔診療システム
US7991557B2 (en) * 2004-06-19 2011-08-02 Genenews Corporation Computer system and methods for constructing biological classifiers and uses thereof
US7477931B2 (en) 2004-12-06 2009-01-13 Cambridge Research & Instruments, Inc. Systems and methods for in-vivo and optical imaging and measurement
ES2425568T3 (es) * 2005-01-21 2013-10-16 Verisante Technology, Inc. Método y aparato para la medición de cambios cancerosos a partir de mediciones espectrales de reflectancia obtenidas durante la toma de imágenes endoscópicas
MX2008002201A (es) 2005-08-16 2008-10-21 Skin Cancer Scanning Ltd Tecnologias infrarrojas pasivas y visuales-opticas combinadas y el sistema correspondiente para la deteccion e identificacion de precursores de cancer de piel, lunares y tumores para el diagnostico temprano.
KR20080050404A (ko) 2005-09-02 2008-06-05 포라 가세이 고교 가부시키가이샤 피부의 상태의 판정 방법 및 피부의 두께의 예측 방법
GB2429385C (en) 2005-09-23 2008-04-24 Astron Clinica Ltd Image processing method and apparatus.
WO2009094623A2 (en) 2008-01-24 2009-07-30 Balter, Inc. Method for discriminating between malignant and benign tissue lesions
NZ588545A (en) 2008-03-18 2013-05-31 Balter Inc Optical method for determining morphological parameters and physiological properties of a lesion

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Publication number Publication date
WO2009094623A3 (en) 2009-10-22
EP2238449A2 (en) 2010-10-13
CA2712868A1 (en) 2009-07-30
JP2011511272A (ja) 2011-04-07
AU2009206293B2 (en) 2014-05-01
JP5255072B2 (ja) 2013-08-07
WO2009094623A2 (en) 2009-07-30
NZ587375A (en) 2013-04-26
AU2009206293A1 (en) 2009-07-30
CA2712868C (en) 2018-11-06
EP2238449A4 (en) 2012-08-08
US20150297130A1 (en) 2015-10-22
US9974475B2 (en) 2018-05-22
EP2238449B1 (en) 2018-06-06
US20110046894A1 (en) 2011-02-24

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