d16c840fe2ca17d0ee84e7a3dacfbeda diagnostics-14-01654.pdf dd15462700b380cd700509e426f5b13a8eccf3da diagnostics-14-01654.pdf ca72fe647620f863490223d79531bcab8aefe40e32f7bb221458e74d78ae5fd0 diagnostics-14-01654.pdf Title: LiverColor: An Artificial Intelligence Platform for Liver Graft Assessment Subject: Hepatic steatosis, characterized by excess fat in the liver, is the main reason for discarding livers intended for transplantation due to its association with increased postoperative complications. The current gold standard for evaluating hepatic steatosis is liver biopsy, which, despite its accuracy, is invasive, costly, slow, and not always feasible during liver procurement. Consequently, surgeons often rely on subjective visual assessments based on the liver’s colour and texture, which are prone to errors and heavily depend on the surgeon’s experience. The aim of this study was to develop and validate a simple, rapid, and accurate method for detecting steatosis in donor livers to improve the decision-making process during liver procurement. We developed LiverColor, a co-designed software platform that integrates image analysis and machine learning to classify a liver graft into valid or non-valid according to its steatosis level. We utilized an in-house dataset of 192 cases to develop and validate the classification models. Colour and texture features were extracted from liver photographs, and graft classification was performed using supervised machine learning techniques (random forests and support vector machine). The performance of the algorithm was compared against biopsy results and surgeons’ classifications. Usability was also assessed in simulated and real clinical settings using the Mobile Health App Usability Questionnaire. The predictive models demonstrated an area under the receiver operating characteristic curve of 0.82, with an accuracy of 85%, significantly surpassing the accuracy of visual inspections by surgeons. Experienced surgeons rated the platform positively, appreciating not only the hepatic steatosis assessment but also the dashboarding functionalities for summarising and displaying procurement-related data. The results indicate that image analysis coupled with machine learning can effectively and safely identify valid livers during procurement. LiverColor has the potential to enhance the accuracy and efficiency of liver assessments, reducing the reliance on subjective visual inspections and improving transplantation outcomes. Keywords: mobile app; colour and texture analysis; liver assessment; organ transplantation; hepatic steatosis Author: Gemma Piella, Nicolau Farré, Daniel Esono, Miguel Ángel Cordobés, Javier Vázquez-Corral, Itxarone Bilbao and Concepción Gómez-Gavara Creator: LaTeX with hyperref Producer: pdfTeX-1.40.25 CreationDate: Wed Jul 31 14:28:00 2024 CEST ModDate: Wed Jul 31 14:39:53 2024 CEST Custom Metadata: no Metadata Stream: no Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 15 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 5420507 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- YTEFUT+VnURWPalladioL-Bold Type 1 Custom yes yes yes 10 0 LSGHKN+URWPalladioL-Bold Type 1 Custom yes yes yes 16 0 XWCLYO+URWPalladioL-Roma Type 1 Custom yes yes yes 22 0 ZZAQMG+URWPalladioL-Ital Type 1 Custom yes yes yes 27 0 DNQFHE+VnURWPalladioL Type 1 Custom yes yes yes 32 0 BXZUUH+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 48 0 URYLRZ+URWPalladioL-BoldItal Type 1 Custom yes yes yes 68 0 HBLPAQ+CMSY10 Type 1 Builtin yes yes yes 73 0 HAOBBM+Symbol Type 1C Custom yes yes yes 90 0 HAOBBN+Arial CID TrueType Identity-H yes yes yes 95 0 HANLLF+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 101 0 HANLLG+PalatinoLinotype CID TrueType Identity-H yes yes yes 104 0 HANLLH+PalatinoLinotype TrueType WinAnsi yes yes no 110 0 HANLLJ+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 113 0 HANMCJ+PalatinoLinotype TrueType MacRoman yes yes no 116 0 HAOBBM+Symbol Type 1C Custom yes yes yes 136 0 HAOBBN+Arial CID TrueType Identity-H yes yes yes 141 0 HANLLF+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 147 0 HANLLG+PalatinoLinotype CID TrueType Identity-H yes yes yes 150 0 HANLLH+PalatinoLinotype TrueType WinAnsi yes yes no 156 0 HANLLJ+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 159 0 HANMCJ+PalatinoLinotype TrueType MacRoman yes yes no 162 0 HANLLF+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 172 0 HANLLG+PalatinoLinotype CID TrueType Identity-H yes yes yes 175 0 HANLLH+PalatinoLinotype TrueType WinAnsi yes yes no 181 0 HANLLJ+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 184 0 HANMCJ+PalatinoLinotype TrueType MacRoman yes yes no 187 0 HANLLF+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 197 0 HANLLH+PalatinoLinotype TrueType WinAnsi yes yes no 200 0 HANLLJ+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 203 0 HANMCJ+PalatinoLinotype TrueType MacRoman yes yes no 206 0 HANLLF+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 216 0 HANLLH+PalatinoLinotype TrueType WinAnsi yes yes no 219 0 HANLLJ+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 222 0 HANLLF+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 235 0 HANLLH+PalatinoLinotype TrueType WinAnsi yes yes no 238 0 HANLLJ+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 241 0 HANMCJ+PalatinoLinotype TrueType MacRoman yes yes no 244 0 BCDEEE+PalatinoLinotype-Bold TrueType WinAnsi yes yes no 255 0 BCDFEE+PalatinoLinotype-Roman TrueType WinAnsi yes yes no 259 0 BCDGEE+PalatinoLinotype-Italic TrueType WinAnsi yes yes no 263 0 BCDHEE+PalatinoLinotype-Italic CID TrueType Identity-H yes yes yes 267 0 BCDIEE+PalatinoLinotype-Bold CID TrueType Identity-H yes yes yes 274 0 BCDJEE+PalatinoLinotype-Roman CID TrueType Identity-H yes yes yes 281 0 HANLLF+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 304 0 HANLLH+PalatinoLinotype TrueType WinAnsi yes yes no 307 0 HANLLJ+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 310 0 HANMCJ+PalatinoLinotype TrueType MacRoman yes yes no 313 0 HANLLF+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 320 0 HANLLH+PalatinoLinotype TrueType WinAnsi yes yes no 323 0 HANLLJ+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 326 0 HANMCJ+PalatinoLinotype TrueType MacRoman yes yes no 329 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2025-02-20 02:14:23 CET RepresentationInformation: diagnostics-14-01654.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2025-02-19 10:18:18 CET Size: 5420507 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 497 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: section.1 Item: Title: Materials and Methods Destination: section.2 Children: Item: Title: Database and Repository Destination: subsection.2.1 Item: Title: Mobile Application Destination: subsection.2.2 Item: Title: Image Processing and Data Analysis Tools Destination: subsection.2.3 Children: Item: Title: Image Calibration and Feature Extraction Destination: subsubsection.2.3.1 Item: Title: Training and Validating the Classification Model Destination: subsubsection.2.3.2 Item: Title: Web Portal Destination: subsection.2.4 Item: Title: Data Flow and Backend Architecture Destination: subsection.2.5 Item: Title: LiverColor’s Evaluation Destination: subsection.2.6 Item: Title: Results Destination: section.3 Children: Item: Title: Mobile Application Destination: subsection.3.1 Item: Title: Image Processing and Data Analysis Tools Destination: subsection.3.2 Item: Title: Web Interface Destination: subsection.3.3 Item: Title: User Experience Destination: subsection.3.4 Item: Title: Discussion Destination: section.4 Item: Title: References Destination: section.5 Info: Title: LiverColor: An Artificial Intelligence Platform for Liver Graft Assessment Author: Gemma Piella, Nicolau Farré, Daniel Esono, Miguel Ángel Cordobés, Javier Vázquez-Corral, Itxarone Bilbao and Concepción Gómez-Gavara Subject: Hepatic steatosis, characterized by excess fat in the liver, is the main reason for discarding livers intended for transplantation due to its association with increased postoperative complications. The current gold standard for evaluating hepatic steatosis is liver biopsy, which, despite its accuracy, is invasive, costly, slow, and not always feasible during liver procurement. Consequently, surgeons often rely on subjective visual assessments based on the liver’s colour and texture, which are prone to errors and heavily depend on the surgeon’s experience. The aim of this study was to develop and validate a simple, rapid, and accurate method for detecting steatosis in donor livers to improve the decision-making process during liver procurement. We developed LiverColor, a co-designed software platform that integrates image analysis and machine learning to classify a liver graft into valid or non-valid according to its steatosis level. We utilized an in-house dataset of 192 cases to develop and validate the classification models. Colour and texture features were extracted from liver photographs, and graft classification was performed using supervised machine learning techniques (random forests and support vector machine). The performance of the algorithm was compared against biopsy results and surgeons’ classifications. Usability was also assessed in simulated and real clinical settings using the Mobile Health App Usability Questionnaire. The predictive models demonstrated an area under the receiver operating characteristic curve of 0.82, with an accuracy of 85%, significantly surpassing the accuracy of visual inspections by surgeons. Experienced surgeons rated the platform positively, appreciating not only the hepatic steatosis assessment but also the dashboarding functionalities for summarising and displaying procurement-related data. The results indicate that image analysis coupled with machine learning can effectively and safely identify valid livers during procurement. LiverColor has the potential to enhance the accuracy and efficiency of liver assessments, reducing the reliance on subjective visual inspections and improving transplantation outcomes. Keywords: mobile app; colour and texture analysis; liver assessment; organ transplantation; hepatic steatosis Creator: LaTeX with hyperref Producer: pdfTeX-1.40.25 CreationDate: Wed Jul 31 14:28:00 CEST 2024 ModDate: Wed Jul 31 14:39:53 CEST 2024 ID: 0x2e3a875eed70c7ed80fd97c3a99c5067, 0x2e3a875eed70c7ed80fd97c3a99c5067 Filters: FilterPipeline: FlateDecode Fonts: Type1: Font: BaseFont: DNQFHE+VnURWPalladioL FontSubset: true FirstChar: 129 LastChar: 226 FontDescriptor: FontName: DNQFHE+VnURWPalladioL Flags: Symbolic FontBBox: -166, -283, 1021, 943 FontFile: true EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: LSGHKN+URWPalladioL-Bold FontSubset: true FirstChar: 2 LastChar: 122 FontDescriptor: FontName: LSGHKN+URWPalladioL-Bold Flags: Symbolic FontBBox: -152, -301, 1000, 935 FontFile: true EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: URYLRZ+URWPalladioL-BoldItal FontSubset: true FirstChar: 110 LastChar: 110 FontDescriptor: FontName: URYLRZ+URWPalladioL-BoldItal Flags: Symbolic FontBBox: -170, -300, 1073, 935 FontFile: true EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: XWCLYO+URWPalladioL-Roma FontSubset: true FirstChar: 2 LastChar: 241 FontDescriptor: FontName: XWCLYO+URWPalladioL-Roma Flags: Symbolic FontBBox: -166, -283, 1021, 943 FontFile: true EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: HBLPAQ+CMSY10 FontSubset: true FirstChar: 2 LastChar: 20 FontDescriptor: FontName: HBLPAQ+CMSY10 Flags: Symbolic FontBBox: -29, -960, 1116, 775 FontFile: true ToUnicode: true Font: BaseFont: YTEFUT+VnURWPalladioL-Bold FontSubset: true FirstChar: 129 LastChar: 226 FontDescriptor: FontName: YTEFUT+VnURWPalladioL-Bold Flags: Symbolic FontBBox: -152, -301, 1000, 935 FontFile: true EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: ZZAQMG+URWPalladioL-Ital FontSubset: true FirstChar: 39 LastChar: 121 FontDescriptor: FontName: ZZAQMG+URWPalladioL-Ital Flags: Symbolic FontBBox: -170, -305, 1010, 941 FontFile: true EncodingDictionary: Differences: true ToUnicode: true Pages: Page: Sequence: 1 Annotations: Annotation: Subtype: Link Rect: 117, 281, 152, 290 Annotation: Subtype: Link Rect: 34, 269, 151, 278 Annotation: Subtype: Link Rect: 34, 164, 96, 186 Annotation: Subtype: Link Rect: 125, 90, 154, 99 Annotation: Subtype: Link Rect: 34, 78, 149, 87 Annotation: Subtype: Link Rect: 34, 756, 167, 792 Annotation: Subtype: Link Rect: 515, 756, 560, 792 Annotation: Subtype: Link Rect: 112, 663, 123, 676 Annotation: Subtype: Link Rect: 111, 650, 122, 664 Annotation: Subtype: Link Rect: 205, 105, 212, 114 ActionDest: 340 Annotation: Subtype: Link Rect: 326, 93, 333, 102 ActionDest: 340 Annotation: Subtype: Link Rect: 336, 92, 342, 102 ActionDest: 340 Annotation: Subtype: Link Rect: 126, 17, 291, 28 Annotation: Subtype: Link Rect: 396, 17, 560, 28 Annotation: Subtype: Link Rect: 34, 354, 87, 373 Page: Sequence: 2 Annotations: Annotation: Subtype: Link Rect: 218, 744, 225, 752 ActionDest: 340 Annotation: Subtype: Link Rect: 433, 706, 440, 715 ActionDest: 340 Annotation: Subtype: Link Rect: 440, 706, 447, 715 ActionDest: 340 Annotation: Subtype: Link Rect: 395, 681, 402, 690 ActionDest: 340 Annotation: Subtype: Link Rect: 363, 655, 370, 665 ActionDest: 340 Annotation: Subtype: Link Rect: 313, 630, 320, 639 ActionDest: 340 Annotation: Subtype: Link Rect: 320, 630, 332, 639 ActionDest: 340 Annotation: Subtype: Link Rect: 333, 631, 345, 639 ActionDest: 340 Annotation: Subtype: Link Rect: 359, 593, 371, 602 ActionDest: 340 Annotation: Subtype: Link Rect: 372, 593, 384, 602 ActionDest: 340 Annotation: Subtype: Link Rect: 217, 542, 229, 552 ActionDest: 340 Annotation: Subtype: Link Rect: 230, 542, 242, 552 ActionDest: 340 Annotation: Subtype: Link Rect: 238, 480, 250, 489 ActionDest: 340 Annotation: Subtype: Link Rect: 251, 480, 263, 489 ActionDest: 340 Annotation: Subtype: Link Rect: 266, 480, 278, 489 ActionDest: 340 Annotation: Subtype: Link Rect: 342, 467, 354, 476 ActionDest: 340 Annotation: Subtype: Link Rect: 531, 467, 543, 476 ActionDest: 340 Annotation: Subtype: Link Rect: 544, 467, 556, 476 ActionDest: 340 Annotation: Subtype: Link Rect: 232, 455, 244, 464 ActionDest: 340 Annotation: Subtype: Link Rect: 219, 392, 231, 401 ActionDest: 340 Annotation: Subtype: Link Rect: 460, 166, 472, 175 ActionDest: 340 Page: Sequence: 3 Annotations: Annotation: Subtype: Link Rect: 197, 587, 204, 599 ActionDest: 78 Annotation: Subtype: Link Rect: 293, 575, 300, 587 ActionDest: 78 Annotation: Subtype: Link Rect: 543, 575, 550, 587 ActionDest: 78 Annotation: Subtype: Link Rect: 499, 537, 506, 549 ActionDest: 65 Page: Sequence: 4 Annotations: Annotation: Subtype: Link Rect: 377, 339, 391, 354 ActionDest: 78 Annotation: Subtype: Link Rect: 473, 101, 485, 110 ActionDest: 340 Page: Sequence: 5 Annotations: Annotation: Subtype: Link Rect: 248, 731, 260, 740 ActionDest: 343 Annotation: Subtype: Link Rect: 366, 655, 378, 665 ActionDest: 343 Annotation: Subtype: Link Rect: 451, 518, 463, 526 ActionDest: 343 Page: Sequence: 6 Annotations: Annotation: Subtype: Link Rect: 218, 582, 225, 594 ActionDest: 130 Annotation: Subtype: Link Rect: 217, 282, 225, 294 ActionDest: 166 Page: Sequence: 7 Annotations: Annotation: Subtype: Link Rect: 309, 397, 330, 409 ActionDest: 127 Annotation: Subtype: Link Rect: 250, 384, 271, 396 ActionDest: 78 Annotation: Subtype: Link Rect: 449, 337, 461, 346 ActionDest: 343 Annotation: Subtype: Link Rect: 213, 324, 225, 333 ActionDest: 343 Annotation: Subtype: Link Rect: 521, 274, 533, 283 ActionDest: 343 Annotation: Subtype: Link Rect: 222, 171, 229, 183 ActionDest: 191 Annotation: Subtype: Link Rect: 232, 171, 239, 183 ActionDest: 228 Page: Sequence: 8 Page: Sequence: 9 Annotations: Annotation: Subtype: Link Rect: 222, 244, 229, 256 ActionDest: 191 Annotation: Subtype: Link Rect: 250, 244, 257, 256 ActionDest: 191 Annotation: Subtype: Link Rect: 342, 118, 356, 130 ActionDest: 78 Annotation: Subtype: Link Rect: 396, 106, 402, 118 ActionDest: 191 Page: Sequence: 10 Annotations: Annotation: Subtype: Link Rect: 211, 713, 225, 725 ActionDest: 78 Annotation: Subtype: Link Rect: 401, 662, 408, 674 ActionDest: 228 Annotation: Subtype: Link Rect: 333, 625, 339, 637 ActionDest: 228 Annotation: Subtype: Link Rect: 222, 348, 229, 360 ActionDest: 298 Annotation: Subtype: Link Rect: 250, 348, 257, 360 ActionDest: 298 Page: Sequence: 11 Page: Sequence: 12 Annotations: Annotation: Subtype: Link Rect: 389, 690, 396, 699 ActionDest: 340 Annotation: Subtype: Link Rect: 387, 652, 399, 662 ActionDest: 340 Annotation: Subtype: Link Rect: 481, 527, 493, 536 ActionDest: 340 Annotation: Subtype: Link Rect: 494, 527, 506, 536 ActionDest: 340 Annotation: Subtype: Link Rect: 339, 452, 351, 461 ActionDest: 340 Annotation: Subtype: Link Rect: 351, 452, 363, 461 ActionDest: 340 Annotation: Subtype: Link Rect: 245, 364, 257, 373 ActionDest: 340 Annotation: Subtype: Link Rect: 322, 364, 334, 373 ActionDest: 340 Annotation: Subtype: Link Rect: 328, 326, 340, 335 ActionDest: 340 Annotation: Subtype: Link Rect: 522, 301, 533, 310 ActionDest: 340 Annotation: Subtype: Link Rect: 320, 188, 332, 197 ActionDest: 343 Annotation: Subtype: Link Rect: 333, 188, 344, 197 ActionDest: 343 Page: Sequence: 13 Annotations: Annotation: Subtype: Link Rect: 355, 555, 367, 564 ActionDest: 343 Annotation: Subtype: Link Rect: 268, 317, 280, 326 ActionDest: 343 Annotation: Subtype: Link Rect: 280, 317, 292, 326 ActionDest: 343 Page: Sequence: 14 Annotations: Annotation: Subtype: Link Rect: 489, 694, 560, 705 Annotation: Subtype: Link Rect: 274, 581, 311, 592 Annotation: Subtype: Link Rect: 317, 581, 353, 592 Annotation: Subtype: Link Rect: 327, 558, 363, 569 Annotation: Subtype: Link Rect: 59, 536, 96, 546 Annotation: Subtype: Link Rect: 102, 536, 138, 546 Annotation: Subtype: Link Rect: 263, 512, 301, 523 Annotation: Subtype: Link Rect: 307, 512, 343, 523 Annotation: Subtype: Link Rect: 229, 477, 266, 488 Annotation: Subtype: Link Rect: 273, 477, 309, 488 Annotation: Subtype: Link Rect: 228, 443, 265, 454 Annotation: Subtype: Link Rect: 272, 443, 308, 454 Annotation: Subtype: Link Rect: 59, 421, 96, 431 Annotation: Subtype: Link Rect: 102, 421, 138, 431 Annotation: Subtype: Link Rect: 359, 397, 397, 408 Annotation: Subtype: Link Rect: 403, 397, 439, 408 Annotation: Subtype: Link Rect: 479, 374, 516, 385 Annotation: Subtype: Link Rect: 521, 374, 557, 385 Annotation: Subtype: Link Rect: 238, 339, 275, 350 Annotation: Subtype: Link Rect: 282, 339, 318, 350 Annotation: Subtype: Link Rect: 250, 316, 288, 327 Annotation: Subtype: Link Rect: 294, 316, 330, 327 Annotation: Subtype: Link Rect: 211, 293, 249, 304 Annotation: Subtype: Link Rect: 255, 293, 291, 304 Annotation: Subtype: Link Rect: 205, 270, 243, 281 Annotation: Subtype: Link Rect: 249, 270, 285, 281 Annotation: Subtype: Link Rect: 265, 236, 303, 247 Annotation: Subtype: Link Rect: 309, 236, 345, 247 Annotation: Subtype: Link Rect: 189, 213, 227, 224 Annotation: Subtype: Link Rect: 269, 190, 307, 201 Annotation: Subtype: Link Rect: 59, 156, 96, 166 Annotation: Subtype: Link Rect: 102, 156, 138, 166 Annotation: Subtype: Link Rect: 59, 122, 96, 132 Annotation: Subtype: Link Rect: 102, 122, 138, 132 Annotation: Subtype: Link Rect: 370, 98, 407, 109 Page: Sequence: 15 Annotations: Annotation: Subtype: Link Rect: 315, 730, 352, 741 Annotation: Subtype: Link Rect: 358, 730, 395, 741 Annotation: Subtype: Link Rect: 281, 706, 319, 718 Annotation: Subtype: Link Rect: 246, 684, 283, 694 Annotation: Subtype: Link Rect: 287, 637, 325, 648 Annotation: Subtype: Link Rect: 331, 637, 367, 648 Annotation: Subtype: Link Rect: 296, 614, 334, 625 Annotation: Subtype: Link Rect: 340, 614, 376, 625 Annotation: Subtype: Link Rect: 144, 592, 182, 602 Annotation: Subtype: Link Rect: 188, 592, 224, 602 Annotation: Subtype: Link Rect: 160, 568, 196, 579 Annotation: Subtype: Link Rect: 475, 545, 513, 556 Annotation: Subtype: Link Rect: 519, 545, 555, 556 Annotation: Subtype: Link Rect: 226, 522, 264, 533 Annotation: Subtype: Link Rect: 172, 488, 209, 499 Annotation: Subtype: Link Rect: 216, 488, 252, 499 Checksum: 7b0f1995 Type: CRC32 Checksum: d16c840fe2ca17d0ee84e7a3dacfbeda Type: MD5 Checksum: dd15462700b380cd700509e426f5b13a8eccf3da Type: SHA-1 Checksum: ca72fe647620f863490223d79531bcab8aefe40e32f7bb221458e74d78ae5fd0 Type: SHA-256