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Molchanova N, Raina V, Malinin A, Rosa FL, Depeursinge A, Gales M, Granziera C, Müller H, Graziani M, Cuadra MB. Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation. Comput Biol Med 2025; 184:109336. [PMID: 39546878 DOI: 10.1016/j.compbiomed.2024.109336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 10/23/2024] [Accepted: 10/23/2024] [Indexed: 11/17/2024]
Abstract
This paper explores uncertainty quantification (UQ) as an indicator of the trustworthiness of automated deep-learning (DL) tools in the context of white matter lesion (WML) segmentation from magnetic resonance imaging (MRI) scans of multiple sclerosis (MS) patients. Our study focuses on two principal aspects of uncertainty in structured output segmentation tasks. First, we postulate that a reliable uncertainty measure should indicate predictions likely to be incorrect with high uncertainty values. Second, we investigate the merit of quantifying uncertainty at different anatomical scales (voxel, lesion, or patient). We hypothesize that uncertainty at each scale is related to specific types of errors. Our study aims to confirm this relationship by conducting separate analyses for in-domain and out-of-domain settings. Our primary methodological contributions are (i) the development of novel measures for quantifying uncertainty at lesion and patient scales, derived from structural prediction discrepancies, and (ii) the extension of an error retention curve analysis framework to facilitate the evaluation of UQ performance at both lesion and patient scales. The results from a multi-centric MRI dataset of 444 patients demonstrate that our proposed measures more effectively capture model errors at the lesion and patient scales compared to measures that average voxel-scale uncertainty values. We provide the UQ protocols code at https://github.com/Medical-Image-Analysis-Laboratory/MS_WML_uncs.
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Affiliation(s)
- Nataliia Molchanova
- Radiology Department, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland; MedGIFT, Institute of Informatics, School of Management, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
| | - Vatsal Raina
- ALTA Institute, University of Cambridge, Cambridge, United Kingdom
| | | | - Francesco La Rosa
- Icahn School of Medicine at Mount Sinai, New York City, United States of America
| | - Adrien Depeursinge
- Radiology Department, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland; MedGIFT, Institute of Informatics, School of Management, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland
| | - Mark Gales
- ALTA Institute, University of Cambridge, Cambridge, United Kingdom
| | - Cristina Granziera
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland; Department of Neurology, University Hospital Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Henning Müller
- MedGIFT, Institute of Informatics, School of Management, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Mara Graziani
- MedGIFT, Institute of Informatics, School of Management, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland
| | - Meritxell Bach Cuadra
- Radiology Department, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland
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Lee JW, Lee TY, Moon KC, You HJ, Kim DW. Lymphatic complex transfer as combined lymph vessel and node transfer for advanced stage upper extremity lymphedema. J Vasc Surg Venous Lymphat Disord 2023; 11:824-831.e3. [PMID: 36906107 DOI: 10.1016/j.jvsv.2023.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 02/05/2023] [Accepted: 02/06/2023] [Indexed: 03/11/2023]
Abstract
OBJECTIVE Lymphedema, especially in the advanced stage, is a growing challenge in extremity reconstruction, with few applicable surgical methods. Despite its importance, no consensus has been reached regarding a single surgical method yet. Herein, the authors introduce a novel concept of lymphatic reconstruction yielding promising results. METHODS We included 37 patients with advanced-stage upper extremity lymphedema who underwent lymphatic complex transfers, consisting of both lymph vessel and node transfers, from 2015 to 2020. We compared the preoperative and postoperative (last visit) mean circumferences and volume ratios between the affected and unaffected limbs. Changes in the Lymphedema Life Impact Scale scores and complications were also investigated. RESULTS The circumference ratio (affected to unaffected limbs) improved at all measuring points (P < .05), while the volume ratio showed a decrease from 1.54 to 1.39 (P < .001). The mean Lymphedema Life Impact Scale decreased from 48.1 ± 15.2 to 33.4 ± 13.8 (P < .05). No donor site morbidities, including iatrogenic lymphedema or any other major complications, were observed. CONCLUSIONS A new technique for lymphatic reconstruction, lymphatic complex transfer, may be useful in cases of advanced stage lymphedema because of its effectiveness and the low possibility of donor site lymphedema.
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Affiliation(s)
- Jun Won Lee
- Department of Plastic Surgery, Korea University College of Medicine, Seoul, Korea
| | - Tae-Yul Lee
- Department of Plastic Surgery, Korea University College of Medicine, Seoul, Korea
| | - Kyung-Chul Moon
- Department of Plastic Surgery, Korea University College of Medicine, Seoul, Korea
| | - Hi-Jin You
- Department of Plastic Surgery, Korea University College of Medicine, Seoul, Korea
| | - Deok-Woo Kim
- Department of Plastic Surgery, Korea University College of Medicine, Seoul, Korea.
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Zurcher KS, Huynh KN, Khurana A, Majdalany BS, Toskich B, Kriegshauser JS, Patel IJ, Naidu SG, Oklu R, Alzubaidi SJ. Interventional Management of Acquired Lymphatic Disorders. Radiographics 2022; 42:1621-1637. [PMID: 36190865 DOI: 10.1148/rg.220032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The lymphatic system is a complex network of tissues, vessels, and channels found throughout the body that assists in fluid balance and immunologic function. When the lymphatic system is disrupted related to idiopathic, iatrogenic, or traumatic disorders, lymphatic leaks can result in substantial morbidity and/or mortality. The diagnosis and management of these leaks is challenging. Modern advances in lymphatic imaging and interventional techniques have made radiology critical in the multidisciplinary management of these disorders. The authors provide a review of conventional and clinically relevant variant lymphatic anatomy and recent advances in diagnostic techniques such as MR lymphangiography. A detailed summary of technical factors related to percutaneous lymphangiography and lymphatic intervention is presented, including transpedal and transnodal lymphangiography. Traditional transabdominal access and retrograde access to the central lymph nodes and thoracic duct embolization techniques are outlined. Newer techniques including transhepatic lymphangiography and thoracic duct stent placement are also detailed. For both diagnostic and interventional radiologists, an understanding of lymphatic anatomy and modern diagnostic and interventional techniques is vital to the appropriate treatment of patients with acquired lymphatic disorders. ©RSNA, 2022.
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Affiliation(s)
- Kenneth S Zurcher
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
| | - Kenneth N Huynh
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
| | - Aditya Khurana
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
| | - Bill S Majdalany
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
| | - Beau Toskich
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
| | - J Scott Kriegshauser
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
| | - Indravadan J Patel
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
| | - Sailendra G Naidu
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
| | - Rahmi Oklu
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
| | - Sadeer J Alzubaidi
- From the Division of Vascular and Interventional Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054 (K.S.Z., J.S.K., I.J.P., S.G.N., R.O., S.J.A.); Department of Radiological Sciences, University of California, Irvine, Orange, Calif (K.N.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.K.); Department of Radiology, University of Vermont, Burlington, VT (B.S.M.); and Division of Vascular and Interventional Radiology, Mayo Clinic Jacksonville, Jacksonville, Fla (B.T.)
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Dong D, Wang H, Chen L, Wang W, Liu T. Hormone Therapy: A Potential Risk Factor Affecting Survival and Functional Restoration of Transplanted Lymph Nodes. Front Pharmacol 2022; 13:853859. [PMID: 35431925 PMCID: PMC9008310 DOI: 10.3389/fphar.2022.853859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 03/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Transplantation of lymph nodes (LNs) is an increasingly popular option for treating lymphedema. Increasing evidence indicates an intrinsic correlation between estrogen signaling and the lymphatic system. We explored the effects of 17β estradiol and antiestrogen treatment (tamoxifen) on the survival and functional restoration of transplanted popliteal lymph nodes (PLNs). Methods: A total of forty-eight ovariectomized mice were divided into three groups of 16: OVX + E2 (treated with 17β-estradiol), OVX + TMX (treated with tamoxifen), and OVX (control; treated with olive oil as a solvent). After 2 weeks, PLNs were transplanted. Then, reconnections of lymphatic vessels were observed, and the morphology and survival of transplanted PLNs were evaluated 4 weeks after transplantation. T cells, B cells, lymphatic vessels, and high endothelial venules (HEVs) were subjected to immunofluorescence staining or immunohistochemical staining and quantified. Results: The percentage of lymphatic reconnections was 93.75% in the OVX + E2 group, 68.75% in the OVX + TMX group, and 75% in the OVX group. Surviving PLNs were observed in 16 of 16 in the OVX + E2 group, seven of 16 in the OVX + TMX group, and 13 of 16 in the OVX group. The mean size of PLNs in the largest cross section of the OVX + TMX group was significantly lower than that in the other groups. The distributions of B cells and T cells in surviving PLNs were similar to those in normal LNs. The ratio of dilated HEVs/total HEVs and density of lymphatic vessels in the OVX + E2 group were the highest among the three groups, whereas the lowest ratio and density were observed in the OVX + TMX group. Conclusion: Tamoxifen treatment might lead to cellular loss of transplanted LNs and interfere with the structural reconstruction and functional restoration, thereby inhibiting the survival of transplanted PLNs. Estrogen treatment facilitated the maintenance and regeneration of functional HEVs as well as lymphangiogenesis.
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Affiliation(s)
- Dong Dong
- Department of Plastic and Aesthetic Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- Shanghai Medical College of Fudan University, Shanghai, China
| | - Heng Wang
- Department of Plastic and Aesthetic Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- Shanghai Medical College of Fudan University, Shanghai, China
| | - Liang Chen
- Department of Plastic and Aesthetic Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Wei Wang
- Department of Plastic and Aesthetic Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- Shanghai Medical College of Fudan University, Shanghai, China
| | - Tianyi Liu
- Department of Plastic and Aesthetic Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- *Correspondence: Tianyi Liu,
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