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Pathan SR, Asarawala N, Chowdappa RG, Panchal R, Srivastava PS, Patel VA, Sharma KB, Pandya SB, Patel MD. Enduring Efficacy and Clinical Outcomes of Combined Palliative Chemotherapy With Gefitinib, Methotrexate, and Cyclophosphamide in Advanced Oral Cancer: A 3.5-Year Case Study of Carcinoma in the Buccal Mucosa and Hard Palate. Cureus 2023; 15:e46661. [PMID: 37942389 PMCID: PMC10628340 DOI: 10.7759/cureus.46661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/07/2023] [Indexed: 11/10/2023] Open
Abstract
This case report outlines the diagnostic and treatment experience of a 50-year-old male diagnosed with moderately differentiated squamous cell carcinoma (SCC) in the right lower alveolus. It underscores the challenges of oral squamous cell carcinoma (OSCC) diagnosis and management, emphasizing the need for comprehensive multidisciplinary approaches. The patient's initial presentation with persistent mandibular pain highlighted the complexities of diagnosing oral and maxillofacial pathologies. A detailed clinical examination revealed unique ulceroproliferative growth, showcasing the importance of meticulous clinical assessment. Histopathological confirmation solidified the diagnosis. Treatment involved surgery, adjuvant radiotherapy, and concurrent chemotherapy. Post-chemotherapy, the patient responded positively, underlining treatment efficacy. Transitioning to oral chemotherapy demonstrated adaptability. Vigilant follow-up, exemplified by detecting non-healing ulcers and erosions, is crucial for early intervention. This case informs oral squamous cell carcinoma management. Integrated therapy's success underscores the value of combining surgery, chemotherapy, and radiotherapy. The patient's response to gefitinib, cyclophosphamide, and methotrexate suggests promise for targeted therapies. Patient-centered care, interdisciplinary collaboration, and adaptability are vital. This case report illustrates oral squamous cell carcinoma eradication through multidimensional treatment. The patient's journey highlights accurate diagnosis, adaptable therapy, and vigilant follow-up. It informs the field and fosters further research and innovation.
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Affiliation(s)
- Sohilkhan R Pathan
- Clinical Research Services, Bhanubhai and Madhuben Patel Cardiac Centre, Shree Krishna Hospital, Anand, IND
| | - Nirav Asarawala
- Medical Oncology, M. S. Patel Cancer Centre, Shree Krishna Hospital and Medical Research Centre, Anand, IND
| | - Raghunandan G Chowdappa
- Surgical Oncology, M. S. Patel Cancer Centre, Shree Krishna Hospital and Medical Research Centre, Anand, IND
| | - Rushikumar Panchal
- Radiation Oncology, M. S. Patel Cancer Centre, Shree Krishna Hospital and Medical Research Centre, Anand, IND
| | - Priyanka S Srivastava
- Medical Oncology, M. S. Patel Cancer Centre, Shree Krishna Hospital and Medical Research Centre, Anand, IND
| | - Vishal A Patel
- Clinical Research Services, Bhanubhai and Madhuben Patel Cardiac Centre, Shree Krishna Hospital, Anand, IND
| | - Kruti B Sharma
- Clinical Research Services, Bhanubhai and Madhuben Patel Cardiac Centre, Shree Krishna Hospital, Anand, IND
| | - Shivangi B Pandya
- Clinical Research Services, Bhanubhai and Madhuben Patel Cardiac Centre, Shree Krishna Hospital, Anand, IND
| | - Meet D Patel
- Medicine, Pramukhswami Medical College, Anand, IND
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Dixit S, Kumar A, Srinivasan K. A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research Directions. Diagnostics (Basel) 2023; 13:diagnostics13071353. [PMID: 37046571 PMCID: PMC10093759 DOI: 10.3390/diagnostics13071353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 03/25/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023] Open
Abstract
Cancer is a problematic global health issue with an extremely high fatality rate throughout the world. The application of various machine learning techniques that have appeared in the field of cancer diagnosis in recent years has provided meaningful insights into efficient and precise treatment decision-making. Due to rapid advancements in sequencing technologies, the detection of cancer based on gene expression data has improved over the years. Different types of cancer affect different parts of the body in different ways. Cancer that affects the mouth, lip, and upper throat is known as oral cancer, which is the sixth most prevalent form of cancer worldwide. India, Bangladesh, China, the United States, and Pakistan are the top five countries with the highest rates of oral cavity disease and lip cancer. The major causes of oral cancer are excessive use of tobacco and cigarette smoking. Many people’s lives can be saved if oral cancer (OC) can be detected early. Early identification and diagnosis could assist doctors in providing better patient care and effective treatment. OC screening may advance with the implementation of artificial intelligence (AI) techniques. AI can provide assistance to the oncology sector by accurately analyzing a large dataset from several imaging modalities. This review deals with the implementation of AI during the early stages of cancer for the proper detection and treatment of OC. Furthermore, performance evaluations of several DL and ML models have been carried out to show that the DL model can overcome the difficult challenges associated with early cancerous lesions in the mouth. For this review, we have followed the rules recommended for the extension of scoping reviews and meta-analyses (PRISMA-ScR). Examining the reference lists for the chosen articles helped us gather more details on the subject. Additionally, we discussed AI’s drawbacks and its potential use in research on oral cancer. There are methods for reducing risk factors, such as reducing the use of tobacco and alcohol, as well as immunization against HPV infection to avoid oral cancer, or to lessen the burden of the disease. Additionally, officious methods for preventing oral diseases include training programs for doctors and patients as well as facilitating early diagnosis via screening high-risk populations for the disease.
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Affiliation(s)
- Shriniket Dixit
- School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India
| | - Anant Kumar
- School of Bioscience and Technology, Vellore Institute of Technology, Vellore 632014, India
| | - Kathiravan Srinivasan
- School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India
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Bondi S, Vinciguerra A, Lissoni A, Rizzo N, Barbieri D, Indelicato P, Abati S. Mucosal Melanoma of the Hard Palate: Surgical Treatment and Reconstruction. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:3341. [PMID: 33804881 PMCID: PMC8036556 DOI: 10.3390/ijerph18073341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 02/17/2021] [Accepted: 03/19/2021] [Indexed: 12/02/2022]
Abstract
Mucosal melanomas of the head and neck region are uncommon pathologies that can affect the oral cavity, and are characterized by a high rate of mortality. Considering the lack of knowledge regarding risk and prognostic factors, current best clinical practice is represented by a large surgical excision with disease-free margins, eventually associated with a reconstructive flap. Indeed, given the frequent necessity of postoperative radiotherapy and fast healing process, a reconstruction of the surgical gap is advisable. Even if several flaps have been most commonly used, the submental island flap represents a valid alternative thanks to local advantages and similar oncologic outcomes compared to free flaps.
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Affiliation(s)
- Stefano Bondi
- Otorhinolaryngology—Head & Neck Surgery Department, San Raffaele Hospital, University Vita-Salute, 20100 Milano, Italy; (A.V.); (D.B.); (P.I.)
| | - Alessandro Vinciguerra
- Otorhinolaryngology—Head & Neck Surgery Department, San Raffaele Hospital, University Vita-Salute, 20100 Milano, Italy; (A.V.); (D.B.); (P.I.)
- School of Medicine, Vita-Salute San Raffaele University, 20100 Milano, Italy; (A.L.); (S.A.)
| | - Alessandra Lissoni
- School of Medicine, Vita-Salute San Raffaele University, 20100 Milano, Italy; (A.L.); (S.A.)
- Department of Dentistry and Stomatology IRCCS San Raffaele Hospital, University Vita-Salute, 20100 Milano, Italy
| | - Nathalie Rizzo
- Pathology Unit, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, 20100 Milano, Italy;
| | - Diego Barbieri
- Otorhinolaryngology—Head & Neck Surgery Department, San Raffaele Hospital, University Vita-Salute, 20100 Milano, Italy; (A.V.); (D.B.); (P.I.)
- School of Medicine, Vita-Salute San Raffaele University, 20100 Milano, Italy; (A.L.); (S.A.)
| | - Pietro Indelicato
- Otorhinolaryngology—Head & Neck Surgery Department, San Raffaele Hospital, University Vita-Salute, 20100 Milano, Italy; (A.V.); (D.B.); (P.I.)
- School of Medicine, Vita-Salute San Raffaele University, 20100 Milano, Italy; (A.L.); (S.A.)
| | - Silvio Abati
- School of Medicine, Vita-Salute San Raffaele University, 20100 Milano, Italy; (A.L.); (S.A.)
- Department of Dentistry and Stomatology IRCCS San Raffaele Hospital, University Vita-Salute, 20100 Milano, Italy
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