The Role of Pathological Analyses in Monitoring Treatment Effectiveness
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Pathological analysis is a basic requirement in modern oncology, orthopaedics, trauma surgery, etc. for the diagnosis and monitoring of disease-related complications. Early and accurate determination of the pathological features of a disease such as cancer or of a trauma is crucial first for correct diagnosis. Moreover, pathological analyses play an essential role in planning and monitoring the success of treatments such as medical cancer therapies and the placement and follow-up of prostheses. Surgical treatment in traumatology includes the therapy of single injuries such as fractures of bones, ligamentous rupture, or dislocation of joints. However, surgical intervention is life threatening and expensive and comes with the risk of infections and functional sequelae. Therefore a precise therapy planning taking into account the whole clinical history of the patient including the pathological background is necessary for high success rates. The success of the treatment is highly determined by the time between trauma and therapy, the quality of the operation (position of prosthesis) and the rehabilitation (early mobilisation) [1]. Regular postoperative controls by x-ray imaging are carried out to monitor the success of the operation. This paper introduces 3D ultrasound imaging as an alternative or complementary modality with less exposition of the patient for therapy planning and followup care. Pathological analyses are obligatory to determine postoperative irregularities as early as possible to minimize the costs for health insurance from complications. Many times, pathological analyses including surgery and x-ray imaging are ambiguous for the interpretation. Accurate spatial models obtained from raw tomographic data can assist the practitioner in risk assessment. About a quarter of cancer deaths is caused by metastases, the spreading of tumor cells from the primary tumor to distant organs. Hematogenous metastases are of special interest as they are responsible for malignancies in the liver, lung and bone. Modeling the blood transport of tumor cells can help to understand and to prevent the onset of secondary tumors [2].
L. Pierannunzii, "How to write an original article for the Journal of Orthopaedics and Traumatology," 2008. ncbi.nlm.nih.gov
J. Hartley and G. Cabanac, "Thirteen Ways to Write an Abstract," 2017. [PDF]
M. Robinson, J. James, G. Thomas, N. West et al., "Quality assurance guidance for scoring and reporting for pathologists and laboratories undertaking clinical trial work," 2018. ncbi.nlm.nih.gov
F. Conforti, L. Pala, I. Sala, C. Oriecuia, and T. De Pas, "… of pathological complete response as surrogate endpoint in neoadjuvant randomised clinical trials of early stage breast cancer: systematic review and meta-analysis," Bmj, 2021. bmj.com
V. Baxi, R. Edwards, M. Montalto, and S. Saha, "Digital pathology and artificial intelligence in translational medicine and clinical practice," Modern Pathology, 2022. sciencedirect.com
A. Weissferdt, A. Pataer, S. G. Swisher, and J. V. Heymach, "Controversies and challenges in the pathologic examination of lung resection specimens after neoadjuvant treatment," Lung Cancer, 2021. [HTML]
S. Berry, N. A. Giraldo, B. F. Green, T. R. Cottrell, J. E. Stein, "Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade," Science, 2021. science.org
N. Mohamed Mustapha, "Meandering through the superb scientific world of pathology: exploring intrapolations," 2016. [PDF]
S. Abdallah, M. Sharifa, and M. K. I. K. H. Almadhoun, "The impact of artificial intelligence on optimizing diagnosis and treatment plans for rare genetic disorders," Cureus, 2023. nih.gov
P. Y. K. Van den Bergh, P. A. van Doorn, et al., "Nerve Society guideline on diagnosis and treatment of chronic inflammatory demyelinating polyradiculoneuropathy: Report of a joint Task Force—Second revision," Journal of the ..., 2021. wiley.com
S. A. Alowais, S. S. Alghamdi, and N. Alsuhebany, "Revolutionizing healthcare: the role of artificial intelligence in clinical practice," BMC Medical, Springer, 2023. springer.com
M. Maurer, M. Magerl, S. Betschel, W. Aberer, "The international WAO/EAACI guideline for the management of hereditary angioedema–the 2021 revision and update," World Allergy, Elsevier, 2022. sciencedirect.com
Y. Zhuang, S. Chen, N. Jiang, and H. Hu, "An Effective WSSENet-Based Similarity Retrieval Method of Large Lung CT Image Databases," KSII Transactions on Internet & …, 2022. koreascience.kr
N. Kiran, FNU Sapna, FNU Kiran, D. Kumar, and FNU Raja, "Digital pathology: transforming diagnosis in the digital age," Cureus, 2023. nih.gov
P. Pisapia, V. L'Imperio, F. Galuppini, and E. Sajjadi, "The evolving landscape of anatomic pathology," Critical Reviews in, Elsevier, 2022. unipa.it
P. J. Schüffler, L. Geneslaw, "Integrated digital pathology at scale: a solution for clinical diagnostics and cancer research at a large academic medical center," Journal of the ..., 2021. oup.com
L. A. Hassell, S. F. Absar, C. Chauhan, "Pathology education powered by virtual and digital transformation: now and the future," *of Pathology &*, 2023. allenpress.com
M. Salvi, U. R. Acharya, and F. Molinari, "The impact of pre-and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis," … in Biology and Medicine, Elsevier, 2021. sciencedirect.com
A. Echle, N. T. Rindtorff, T. J. Brinker, T. Luedde, "Deep learning in cancer pathology: a new generation of clinical biomarkers," British Journal of ..., 2021. nature.com
J. Van der Laak, G. Litjens, and F. Ciompi, "Deep learning in histopathology: the path to the clinic," Nature medicine, 2021. ru.nl
C. Bailey, J. R. M. Black, J. L. Reading, and K. Litchfield, "Tracking cancer evolution through the disease course," Cancer Discovery, AACR, 2021. nih.gov
X. Wang, J. Zhao, E. Marostica, W. Yuan, J. Jin, and J. Zhang, "A pathology foundation model for cancer diagnosis and prognosis prediction," *Nature*, 2024. [HTML]
M. Tsuneki, "Deep learning models in medical image analysis," Journal of Oral Biosciences, 2022. sciencedirect.com
N. H. Aliev, "Clinical and functional methods of assessment and diagnosis of the pathological condition of the temporomandibular joint," Новый день в медицине, 2021. [HTML]
D. Rotariu, E. E. Babes, D. M. Tit, M. Moisi, C. Bustea, et al., "Oxidative stress–Complex pathological issues concerning the hallmark of cardiovascular and metabolic disorders," Biomedicine & ..., Elsevier, 2022. sciencedirect.com
K. Goodman, "Pathologies of Motion: Historical Thinking in Medicine, Aesthetics, and Poetics," 2023. [HTML]
J. Duffin, "History of medicine: a scandalously short introduction," 2021. [HTML]
D. Y. Zhang, A. Venkat, H. Khasawneh, and R. Sali, "Implementation of digital pathology and artificial intelligence in routine pathology practice," Laboratory, Elsevier, 2024. laboratoryinvestigation.org
J. Meldolesi, "Extracellular vesicles (exosomes and ectosomes) play key roles in the pathology of brain diseases," Molecular biomedicine, 2021. springer.com
M. Cui and D. Y. Zhang, "Artificial intelligence and computational pathology," Laboratory Investigation, 2021. sciencedirect.com
S. Rasool, A. Husnain, A. Saeed, and A. Y. Gill, "Harnessing predictive power: exploring the crucial role of machine learning in early disease detection," Jurnal Inovasi dan, 2023. jurnalmahasiswa.com
M. Akhtar, S. Rashid, and I. A. Al-Bozom, "PD− L1 immunostaining: what pathologists need to know," Diagnostic pathology, 2021. springer.com
M. Javaid, A. Haleem, R. P. Singh, and R. Suman, "Significance of machine learning in healthcare: Features, pillars and applications," International Journal of ..., 2022. sciencedirect.com
K. O'Brien, K. Ried, T. Binjemain, and A. Sali, "Integrative approaches to the treatment of cancer," Cancers, 2022. mdpi.com
M. S. Hossain, H. Karuniawati, A. A. Jairoun, Z. Urbi, and D. J. Ooi, "Colorectal cancer: a review of carcinogenesis, global epidemiology, current challenges, risk factors, preventive and treatment strategies," *Cancers*, 2022. mdpi.com
B. D. Mercier, E. Tizpa, E. J. Philip, Q. Feng, Z. Huang, et al., "Dietary interventions in cancer treatment and response: a comprehensive review," Cancers, 2022. mdpi.com
X. Wang, X. Zhu, Y. Liu, H. Liu et al., "Efficacy of vitamin C on chemotherapy-related anemia in pancreatic cancer: study protocol for a randomized controlled trial," Trials, 2024. springer.com
S. Soltani, A. Ojaghi, H. Qiao, N. Kaza, X. Li, and Q. Dai, "Prostate cancer histopathology using label-free multispectral deep-UV microscopy quantifies phenotypes of tumor aggressiveness and enables multiple diagnostic …," Scientific Reports, 2022. nature.com
T. Xie, A. Huang, H. Yan, X. Ju, and L. Xiang, "Artificial intelligence: illuminating the depths of the tumor microenvironment," *Journal of Translational*, 2024. springer.com
J. Chen, L. Larsson, and A. Swarbrick, "Spatial landscapes of cancers: insights and opportunities," *Nature Reviews Clinical*, 2024. [HTML]
S. Khozin, "From organs to algorithms: Redefining cancer classification in the age of artificial intelligence," Clinical and Translational Science, 2024. wiley.com
N. A. Sultonova, "Evaluation of Clinical and Instrumental Results of Patients with a Risk of Development of Recurrent Mission," Central Asian Journal of Medical, 2023. centralasianstudies.org
A. Catapano, G. Trinchese, F. Cimmino, and L. Petrella, "Impedance analysis to evaluate nutritional status in physiological and pathological conditions," Nutrients, 2023. mdpi.com
N. N. Zhong, H. Q. Wang, X. Y. Huang, Z. Z. Li, L. M. Cao, "Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives," Seminars in Cancer, 2023. [HTML]
M. S. Alshuhri, S. G. Al-Musawi, A. A. Al-Alwany, "Artificial intelligence in cancer diagnosis: Opportunities and challenges," Pathology-Research, Elsevier, 2024. [HTML]
H. Lara, Z. Li, E. Abels, F. Aeffner, and M. M. Bui, "Quantitative image analysis for tissue biomarker use: a white paper from the digital pathology association," Applied, 2021. lww.com
N. Kalra, P. Verma, and S. Verma, "Advancements in AI based healthcare techniques with FOCUS ON diagnostic techniques," Computers in Biology and Medicine, 2024. [HTML]
T. A. Addissouky, A. A. Khalil, "Assessment of potential biomarkers for early detection and management of Glomerulonephritis patients with diabetic diseases," … of Clinical Pathology, 2023. [HTML]
N. Soliman, S. Haroutounian, A. G. Hohmann, and E. Krane, "… , cannabis-based medicines, and endocannabinoid system modulators tested for antinociceptive effects in animal models of injury-related or pathological persistent …," Pain, 2021. lww.com
S. N. Papageorgiou, G. N. Antonoglou, "… –orthodontic treatment of teeth with pathological tooth flaring, drifting, and elongation in patients with severe periodontitis: A systematic review with meta‐analysis," *Journal of Clinical …*, 2022. wiley.com
N. Suzuki, A. Nishiyama, H. Warita, and M. Aoki, "Genetics of amyotrophic lateral sclerosis: seeking therapeutic targets in the era of gene therapy," Journal of human genetics, 2023. nature.com
C. Luchini, N. Veronese, and A. Nottegar, "Assessing the quality of studies in meta‐research: Review/guidelines on the most important quality assessment tools," Pharmaceutical, 2021. unipd.it
Z. Ahmad, S. Rahim, M. Zubair, and J. Abdul-Ghafar, "… in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive …," Diagnostic pathology, 2021. springer.com
S. Houben and B. Bonnechère, "The impact of COVID-19 infection on cognitive function and the implication for rehabilitation: a systematic review and meta-analysis," Journal of Environmental Research and Public Health, 2022. mdpi.com
A. Kozik, M. Pavlova, I. Petrov, V. Bychkov, and L. Kim, "A review of surface-enhanced Raman spectroscopy in pathological processes," Analytica Chimica, 2021. [HTML]
P. Hofman, S. Berezowska, D. Kazdal, B. Mograbi et al., "Current challenges and practical aspects of molecular pathology for non-small cell lung cancers," 2023. ncbi.nlm.nih.gov
E. N. Imyanitov, A. G. Iyevleva, and E. V. Levchenko, "Molecular testing and targeted therapy for non-small cell lung cancer: current status and perspectives," Critical Reviews in Oncology, Elsevier, 2021. oncogenetic.org
O. Rodak, M. D. Peris-Díaz, M. Olbromski, "Current landscape of non-small cell lung cancer: epidemiology, histological classification, targeted therapies, and immunotherapy," Cancers, 2021. mdpi.com
T. Wästerlid, L. Cavelier, and C. Haferlach, "Application of precision medicine in clinical routine in haematology—challenges and opportunities," Journal of Internal, 2022. wiley.com
K. J. Prabhod, "The Role of Artificial Intelligence in Reducing Healthcare Costs and Improving Operational Efficiency," Quarterly Journal of Emerging Technologies, 2024. vectoral.org
J. Fitzgerald, D. Higgins, C. M. Vargas, and W. Watson, "Future of biomarker evaluation in the realm of artificial intelligence algorithms: application in improved therapeutic stratification of patients with breast and prostate …," *J. Clin. Pathol.*, 2021. researchgate.net
J. Y. Shi, X. Wang, G. Y. Ding, Z. Dong, J. Han, and Z. Guan, "Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning," Gut, 2021. google.com
J. J. Li, J. Y. Tsang, and G. M. Tse, "Tumor microenvironment in breast cancer—updates on therapeutic implications and pathologic assessment," Cancers, 2021. mdpi.com
S. J. Sammut, M. Crispin-Ortuzar, S. F. Chin, E. Provenzano, "Multi-omic machine learning predictor of breast cancer therapy response," Nature, 2022. nature.com
X. Fu, E. Sahai, and A. Wilkins, "Application of digital pathology‐based advanced analytics of tumour microenvironment organisation to predict prognosis and therapeutic response," 2023. ncbi.nlm.nih.gov
H. V. Giles, A. Wechalekar, and G. Pratt, "The potential role of mass spectrometry for the identification and monitoring of patients with plasma cell disorders: Where are we now and which questions remain …," British Journal of …, 2022. [HTML]
A. G. Birhanu, "Mass spectrometry-based proteomics as an emerging tool in clinical laboratories," Clinical Proteomics, 2023. springer.com
