Search: onr:"swepub:oai:gup.ub.gu.se/303884" > AI-based detection ...
Fältnamn | Indikatorer | Metadata |
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000 | 06677naa a2200673 4500 | |
001 | oai:gup.ub.gu.se/303884 | |
003 | SwePub | |
008 | 240528s2021 | |||||||||||000 ||eng| | |
009 | oai:research.chalmers.se:103b8905-6065-472e-a461-4441b0e14e63 | |
009 | oai:lup.lub.lu.se:64bca0a6-ae9f-46dc-81b5-2b650deb861d | |
024 | 7 | a https://gup.ub.gu.se/publication/3038842 URI |
024 | 7 | a https://doi.org/10.1186/s40658-021-00376-52 DOI |
024 | 7 | a https://research.chalmers.se/publication/5232772 URI |
024 | 7 | a https://lup.lub.lu.se/record/64bca0a6-ae9f-46dc-81b5-2b650deb861d2 URI |
040 | a (SwePub)gud (SwePub)cthd (SwePub)lu | |
041 | a eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Borrelli, P.u Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital4 aut |
245 | 1 0 | a AI-based detection of lung lesions in F-18 FDG PET-CT from lung cancer patients |
264 | c 2021-03-25 | |
264 | 1 | b Springer Science and Business Media LLC,c 2021 |
520 | a Background[F-18]-fluorodeoxyglucose (FDG) positron emission tomography with computed tomography (PET-CT) is a well-established modality in the work-up of patients with suspected or confirmed diagnosis of lung cancer. Recent research efforts have focused on extracting theragnostic and textural information from manually indicated lung lesions. Both semi-automatic and fully automatic use of artificial intelligence (AI) to localise and classify FDG-avid foci has been demonstrated. To fully harness AI's usefulness, we have developed a method which both automatically detects abnormal lung lesions and calculates the total lesion glycolysis (TLG) on FDG PET-CT.MethodsOne hundred twelve patients (59 females and 53 males) who underwent FDG PET-CT due to suspected or for the management of known lung cancer were studied retrospectively. These patients were divided into a training group (59%; n = 66), a validation group (20.5%; n = 23) and a test group (20.5%; n = 23). A nuclear medicine physician manually segmented abnormal lung lesions with increased FDG-uptake in all PET-CT studies. The AI-based method was trained to segment the lesions based on the manual segmentations. TLG was then calculated from manual and AI-based measurements, respectively and analysed with Bland-Altman plots.ResultsThe AI-tool's performance in detecting lesions had a sensitivity of 90%. One small lesion was missed in two patients, respectively, where both had a larger lesion which was correctly detected. The positive and negative predictive values were 88% and 100%, respectively. The correlation between manual and AI TLG measurements was strong (R-2 = 0.74). Bias was 42 g and 95% limits of agreement ranged from -736 to 819 g. Agreement was particularly high in smaller lesions.ConclusionsThe AI-based method is suitable for the detection of lung lesions and automatic calculation of TLG in small- to medium-sized tumours. In a clinical setting, it will have an added value due to its capability to sort out negative examinations resulting in prioritised and focused care on patients with potentially malignant lesions. | |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Klinisk laboratoriemedicin0 (SwePub)302232 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Clinical Laboratory Medicine0 (SwePub)302232 hsv//eng |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Medicinteknikx Medicinsk bildbehandling0 (SwePub)206032 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Medical Engineeringx Medical Image Processing0 (SwePub)206032 hsv//eng |
653 | a AI | |
653 | a FDG | |
653 | a PET-CT | |
653 | a Lung cancer | |
653 | a Segmentation | |
653 | a Automatic | |
653 | a Total lesion | |
653 | a glycolysis | |
653 | a Radiology | |
653 | a Nuclear Medicine & Medical Imaging | |
653 | a AI | |
653 | a Total lesion glycolysis | |
700 | 1 | a Ly, Johnu Lund University,Lunds universitet,Nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,WCMM- Wallenberg center för molekylär medicinsk forskning,Medicinska fakulteten,Nuclear medicine, Malmö,Lund University Research Groups,WCMM-Wallenberg Centre for Molecular Medicine,Faculty of Medicine,Central Hospital Kristianstad4 aut0 (Swepub:lu)med-jnl |
700 | 1 | a Kaboteh, R.u Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital4 aut |
700 | 1 | a Ulén, Johannesu Eigenvision AB4 aut0 (Swepub:lu)math-jsu |
700 | 1 | a Enqvist, Olof,d 1981u Chalmers University of Technology,Eigenvision AB4 aut0 (Swepub:cth)enolof |
700 | 1 | a Trägårdh, Elinu Lund University,Lunds universitet,Nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,WCMM- Wallenberg center för molekylär medicinsk forskning,Medicinska fakulteten,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Nuclear medicine, Malmö,Lund University Research Groups,WCMM-Wallenberg Centre for Molecular Medicine,Faculty of Medicine,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Skåne University Hospital4 aut0 (Swepub:lu)klin-etr |
700 | 1 | a Edenbrandt, Lars,d 1957u Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,University of Gothenburg,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital4 aut0 (Swepub:lu)klfy-led |
710 | 2 | a Sahlgrenska universitetssjukhusetb Sahlgrenska University Hospital4 org |
773 | 0 | t Ejnmmi Physicsd : Springer Science and Business Media LLCg 8:1q 8:1x 2197-7364 |
856 | 4 | u https://ejnmmiphys.springeropen.com/track/pdf/10.1186/s40658-021-00376-5 |
856 | 4 | u https://research.chalmers.se/publication/523277/file/523277_Fulltext.pdfx primaryx freey FULLTEXT |
856 | 4 | u http://dx.doi.org/10.1186/s40658-021-00376-5x freey FULLTEXT |
856 | 4 8 | u https://gup.ub.gu.se/publication/303884 |
856 | 4 8 | u https://doi.org/10.1186/s40658-021-00376-5 |
856 | 4 8 | u https://research.chalmers.se/publication/523277 |
856 | 4 8 | u https://lup.lub.lu.se/record/64bca0a6-ae9f-46dc-81b5-2b650deb861d |
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