João Correia Pinto
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
João Correia Pinto has a total of 31 co-authors. Here are the top co-authors by number of shared publications:
- Catarina Eloy
Pathology Laboratory, Institute of Molecular Pathology and Immunology of University of Porto (Ipatimup), Porto, Portugal
5 shared publications - António Polónia
Department of Pathology, Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal
4 shared publications Alexandre Vasconcelos
Serviço de Medicina, Unidade Local de Saúde de Matosinhos, Hospital Pedro Hispano, Matosinhos, Portugal
2 shared publications- Iván Rienda
Pathology Department, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
2 shared publications A. Polónia
1 shared publication- Alexandra Vyacheslavovna Asaturova
National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Oparina St., 4, 117513 Moscow, Russia
1 shared publication
Latest Publications
- Open Access
- 24 April 2026
- Published by Springer Nature in Virchows Archiv
- p. 1-9
Artificial intelligence enhances cancer cell selection for HER2 gene amplification assessment in breast carcinoma
The evaluation of HER2 gene amplification is a time-consuming process that requires quantifying a large number of signals in cancer cells to ensure reproducible results, a task that can be assisted by image analysis (IA) tools. This study aimed to develop and validate an artificial intelligence-based cancer cell detection model for detecting breast carcinoma in bright-field in situ hybridization (ISH) whole-slide images, with the goal of improving cancer cell selection prior to the quantification of HER2 and CEP17 gene copies. The difference in IA performance was not statistically significant compared to visual assessment in quantifying the HER2/CEP17 ratio and average HER2 copy numbers per cell. However, IA with the Cancer Cell Detection Module (IA 2.0) quantified consistently higher values than IA without (IA 1.0). Cancer cell detection in IA 1.0 showed 64% sensitivity, 83% specificity, and a positive predictive value (PPV) above 95% for samples with at least 84% cancer cellularity. IA 2.0 improved cancer cell detection sensitivity to 69% and specificity to 93%, achieving a PPV above 95% for samples with at least 66% cancer cellularity. IA 2.0 showed 95% concordance with visual scoring ( k = 0.90), with 90% sensitivity and 100% specificity. Discordant cases required the selection of a second cancer cell-enriched region of interest, shifting classification from HER2-negative to HER2-positive. After correction, IA 2.0 achieved full agreement with visual classification (100%, k = 1.000), underscoring the critical role of the pathologist supervision in this assay.
- 24 April 2026
- Published by Springer Nature in Virchows Archiv
- p. 1-9
Open AccessArtificial intelligence enhances cancer cell selection for HER2 gene amplification assessment in breast carcinoma
The evaluation of HER2 gene amplification is a time-consuming process that requires quantifying a large number of signals in cancer cells to ensure reproducible results, a task that can be assisted by image analysis (IA) tools. This study aimed to develop and validate an artificial intelligence-based cancer cell detection model for detecting breast carcinoma in bright-field in situ hybridization (ISH) whole-slide images, with the goal of improving cancer cell selection prior to the quantification of HER2 and CEP17 gene copies. The difference in IA performance was not statistically significant compared to visual assessment in quantifying the HER2/CEP17 ratio and average HER2 copy numbers per cell. However, IA with the Cancer Cell Detection Module (IA 2.0) quantified consistently higher values than IA without (IA 1.0). Cancer cell detection in IA 1.0 showed 64% sensitivity, 83% specificity, and a positive predictive value (PPV) above 95% for samples with at least 84% cancer cellularity. IA 2.0 improved cancer cell detection sensitivity to 69% and specificity to 93%, achieving a PPV above 95% for samples with at least 66% cancer cellularity. IA 2.0 showed 95% concordance with visual scoring ( k = 0.90), with 90% sensitivity and 100% specificity. Discordant cases required the selection of a second cancer cell-enriched region of interest, shifting classification from HER2-negative to HER2-positive. After correction, IA 2.0 achieved full agreement with visual classification (100%, k = 1.000), underscoring the critical role of the pathologist supervision in this assay.
- Open Access
- 22 October 2025
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 14 (21) , 7465
Artificial Intelligence Tools for Supporting Histopathologic and Molecular Characterization of Gynecological Cancers: A Review
Background/Objectives: Accurate diagnosis, prognosis, and prediction of treatment response are essential in managing gynecologic cancers and maintaining patient quality of life. Computational pathology, powered by artificial intelligence (AI), offers a transformative opportunity for objective histopathological assessment. This review provides a comprehensive, user-oriented overview of existing AI tools for the characterization of gynecological cancers, critically evaluating their clinical applicability and identifying key challenges for future development. Methods: A systematic literature search was conducted in PubMed and Web of Science for studies published up to 2025. The search focused on AI tools developed for the diagnosis, prognosis, or treatment prediction of gynecologic cancers based on histopathological images. After applying selection criteria, 36 studies were included for in-depth analysis, covering ovarian, uterine, cervical, and other gynecological cancers. Studies on cytopathology and pure tumor detection were excluded. Results: Our analysis identified AI tools addressing critical clinical tasks, including histopathologic subtyping, grading, staging, molecular subtyping, and prediction of therapy response (e.g., to platinum-based chemotherapy or PARP inhibitors). The performance of these tools varied significantly. While some demonstrated high accuracy and promising results in internal validation, many were limited by a lack of external validation, potential biases from training data, and performance that is not yet sufficient for routine clinical use. Direct comparison between studies was often hindered by the use of non-standardized evaluation metrics and evolving disease classifications over the past decade. Conclusions: AI tools for gynecologic cancers represent a promising field with the potential to significantly support pathological practice. However, their current development is heterogeneous, and many tools lack the robustness and validation required for clinical integration. There is a pressing need to invest in the creation of clinically driven, interpretable, and accurate AI tools that are rigorously validated on large, multicenter cohorts. Future efforts should focus on standardizing evaluation metrics and addressing unmet diagnostic needs, such as the molecular subtyping of rare tumors, to ensure these technologies can reliably benefit patient care.
- 22 October 2025
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 14 (21) , 7465
Open AccessArtificial Intelligence Tools for Supporting Histopathologic and Molecular Characterization of Gynecological Cancers: A Review
Background/Objectives: Accurate diagnosis, prognosis, and prediction of treatment response are essential in managing gynecologic cancers and maintaining patient quality of life. Computational pathology, powered by artificial intelligence (AI), offers a transformative opportunity for objective histopathological assessment. This review provides a comprehensive, user-oriented overview of existing AI tools for the characterization of gynecological cancers, critically evaluating their clinical applicability and identifying key challenges for future development. Methods: A systematic literature search was conducted in PubMed and Web of Science for studies published up to 2025. The search focused on AI tools developed for the diagnosis, prognosis, or treatment prediction of gynecologic cancers based on histopathological images. After applying selection criteria, 36 studies were included for in-depth analysis, covering ovarian, uterine, cervical, and other gynecological cancers. Studies on cytopathology and pure tumor detection were excluded. Results: Our analysis identified AI tools addressing critical clinical tasks, including histopathologic subtyping, grading, staging, molecular subtyping, and prediction of therapy response (e.g., to platinum-based chemotherapy or PARP inhibitors). The performance of these tools varied significantly. While some demonstrated high accuracy and promising results in internal validation, many were limited by a lack of external validation, potential biases from training data, and performance that is not yet sufficient for routine clinical use. Direct comparison between studies was often hindered by the use of non-standardized evaluation metrics and evolving disease classifications over the past decade. Conclusions: AI tools for gynecologic cancers represent a promising field with the potential to significantly support pathological practice. However, their current development is heterogeneous, and many tools lack the robustness and validation required for clinical integration. There is a pressing need to invest in the creation of clinically driven, interpretable, and accurate AI tools that are rigorously validated on large, multicenter cohorts. Future efforts should focus on standardizing evaluation metrics and addressing unmet diagnostic needs, such as the molecular subtyping of rare tumors, to ensure these technologies can reliably benefit patient care.
- Open Access
- 13 August 2024
- Published by Elsevier in ESMO Real World Data and Digital Oncology
- Vol. 5
Human–machine interaction in computational cancer pathology
- 13 August 2024
- Published by Elsevier in ESMO Real World Data and Digital Oncology
- Vol. 5
Open AccessHuman–machine interaction in computational cancer pathology
- Open Access
- 7 August 2024
- Published by Springer Nature in Virchows Archiv
- Vol. 486 (3) , 541-549
Image analysis for bright-field HER2 in situ hybridization: validation for clinical use
The aim of the present study was to develop and validate a quantitative image analysis (IA) algorithm to aid pathologists in assessing bright-field HER2 in situ hybridization (ISH) tests in solid cancers. A cohort of 80 sequential cases (40 HER2-negative and 40 HER2-positive) were evaluated for HER2 gene amplification with bright-field ISH. We developed an IA algorithm using the ISH Module from HALO software to automatically quantify HER2 and CEP17 copy numbers per cell as well as the HER2/CEP17 ratio. We observed a high correlation of HER2/CEP17 ratio, an average of HER2 and CEP17 copy number per cell between visual and IA quantification (Pearson’s correlation coefficient of 0.842, 0.916, and 0.765, respectively). IA was able to count from 124 cells to 47,044 cells (median of 5565 cells). The margin of error for the visual quantification of the HER2/CEP17 ratio and of the average of HER2 copy number per cell decreased from a median of 0.23 to 0.02 and from a median of 0.49 to 0.04, respectively, in IA. Curve estimation regression models showed that a minimum of 469 or 953 invasive cancer cells per case is needed to reach an average margin of error below 0.1 for the HER2/CEP17 ratio or for the average of HER2 copy number per cell, respectively. Lastly, on average, a case took 212.1 s to execute the IA, which means that it evaluates about 130 cells/s and requires 6.7 s/mm2. The concordance of the IA software with the visual scoring was 95%, with a sensitivity of 90% and a specificity of 100%. All four discordant cases were able to achieve concordant results after the region of interest adjustment. In conclusion, this validation study underscores the usefulness of IA in HER2 ISH testing, displaying excellent concordance with visual scoring and significantly reducing margins of error.
- 7 August 2024
- Published by Springer Nature in Virchows Archiv
- Vol. 486 (3) , 541-549
Open AccessImage analysis for bright-field HER2 in situ hybridization: validation for clinical use
The aim of the present study was to develop and validate a quantitative image analysis (IA) algorithm to aid pathologists in assessing bright-field HER2 in situ hybridization (ISH) tests in solid cancers. A cohort of 80 sequential cases (40 HER2-negative and 40 HER2-positive) were evaluated for HER2 gene amplification with bright-field ISH. We developed an IA algorithm using the ISH Module from HALO software to automatically quantify HER2 and CEP17 copy numbers per cell as well as the HER2/CEP17 ratio. We observed a high correlation of HER2/CEP17 ratio, an average of HER2 and CEP17 copy number per cell between visual and IA quantification (Pearson’s correlation coefficient of 0.842, 0.916, and 0.765, respectively). IA was able to count from 124 cells to 47,044 cells (median of 5565 cells). The margin of error for the visual quantification of the HER2/CEP17 ratio and of the average of HER2 copy number per cell decreased from a median of 0.23 to 0.02 and from a median of 0.49 to 0.04, respectively, in IA. Curve estimation regression models showed that a minimum of 469 or 953 invasive cancer cells per case is needed to reach an average margin of error below 0.1 for the HER2/CEP17 ratio or for the average of HER2 copy number per cell, respectively. Lastly, on average, a case took 212.1 s to execute the IA, which means that it evaluates about 130 cells/s and requires 6.7 s/mm2. The concordance of the IA software with the visual scoring was 95%, with a sensitivity of 90% and a specificity of 100%. All four discordant cases were able to achieve concordant results after the region of interest adjustment. In conclusion, this validation study underscores the usefulness of IA in HER2 ISH testing, displaying excellent concordance with visual scoring and significantly reducing margins of error.
- Open Access
- 18 December 2020
- Published by Sociedade Portuguesa de Medicina Interna in Medicina Interna
- Vol. 27 (4) , 320-323
Linfangioleiomiomatose Esporádica Ganglionar Retroperitoneal Isolada
A linfangioleiomiomatose é uma doença rara multissitémica (1/1 000 000), apresentado-se tipicamente com doença pulmonar cística. Relatos de linfangioleiomiomatose ganglionar isolada são muito raros. Existe pouca informação relativamente ao tratamento e prognóstico. Descrevemos o caso de uma mulher de 48 anos com compressão uretérica por uma massa retroperitoneal. A biópsia mostrou linfangioleiomiomatose ganglionar. Foi submetida a ressecção parcial e mantém-se sob vigilância imagiológica há 3 anos, sem evidência de envolvimento pulmonar ou aumento das lesões abdominais. A doente evoluiu para menopausa 6 meses após o diagnóstico. Séries de casos sugerem que a linfangioleiomiomatose ganglionar pode preceder o envolvimento pulmonar em 1-2 anos, sendo as dimensões (>10 mm) da lesão um fator de risco. Está descrita estabilização da doença em mulheres pós-menopausa. Este caso evidencia uma apresentação e evolução atípicas, com uma lesão com >10 mm, com 3 anos de follow-up sem atingimento pulmonar, renal ou outras formas de atingimento linfático mais frequentes.
- 18 December 2020
- Published by Sociedade Portuguesa de Medicina Interna in Medicina Interna
- Vol. 27 (4) , 320-323
Open AccessLinfangioleiomiomatose Esporádica Ganglionar Retroperitoneal Isolada
A linfangioleiomiomatose é uma doença rara multissitémica (1/1 000 000), apresentado-se tipicamente com doença pulmonar cística. Relatos de linfangioleiomiomatose ganglionar isolada são muito raros. Existe pouca informação relativamente ao tratamento e prognóstico. Descrevemos o caso de uma mulher de 48 anos com compressão uretérica por uma massa retroperitoneal. A biópsia mostrou linfangioleiomiomatose ganglionar. Foi submetida a ressecção parcial e mantém-se sob vigilância imagiológica há 3 anos, sem evidência de envolvimento pulmonar ou aumento das lesões abdominais. A doente evoluiu para menopausa 6 meses após o diagnóstico. Séries de casos sugerem que a linfangioleiomiomatose ganglionar pode preceder o envolvimento pulmonar em 1-2 anos, sendo as dimensões (>10 mm) da lesão um fator de risco. Está descrita estabilização da doença em mulheres pós-menopausa. Este caso evidencia uma apresentação e evolução atípicas, com uma lesão com >10 mm, com 3 anos de follow-up sem atingimento pulmonar, renal ou outras formas de atingimento linfático mais frequentes.
- Open Access
- 1 February 2018
- Published by FapUNIFESP (SciELO) in Revista da Sociedade Brasileira de Medicina Tropical
- Vol. 51 (1) , 7-13
Actinomycosis, a lurking threat: a report of 11 cases and literature review
Actinomycosis remains characteristically uncommon, but is still an important cause of morbidity. Its clinical presentation is usually indolent and chronic as slow growing masses that can evolve into fistulae, and for that reason are frequently underdiagnosed. Actinomyces spp is often disregarded clinically and is classified as a colonizing microorganism. In this review of literature, we concomitantly present 11 cases of actinomycosis with different localizations, diagnosed at a tertiary hospital between 2009 and 2016. We outline the findings of at least one factor of immunosuppression in > 90% of the reported cases.
- 1 February 2018
- Published by FapUNIFESP (SciELO) in Revista da Sociedade Brasileira de Medicina Tropical
- Vol. 51 (1) , 7-13
Open AccessActinomycosis, a lurking threat: a report of 11 cases and literature review
Actinomycosis remains characteristically uncommon, but is still an important cause of morbidity. Its clinical presentation is usually indolent and chronic as slow growing masses that can evolve into fistulae, and for that reason are frequently underdiagnosed. Actinomyces spp is often disregarded clinically and is classified as a colonizing microorganism. In this review of literature, we concomitantly present 11 cases of actinomycosis with different localizations, diagnosed at a tertiary hospital between 2009 and 2016. We outline the findings of at least one factor of immunosuppression in > 90% of the reported cases.
- 1 January 2018
- Published by Springer Nature in Journal of Gastrointestinal Cancer
- Vol. 50 (3) , 564-567
Gallbladder Cancer: Complete Resection after Second Line Treatment in Stage IV Disease
- 1 January 2018
- Published by Springer Nature in Journal of Gastrointestinal Cancer
- Vol. 50 (3) , 564-567
Gallbladder Cancer: Complete Resection after Second Line Treatment in Stage IV Disease
- 7 March 2017
- Published by Wiley in Histopathology
- Vol. 71 (2) , 247-257
Counting invasive breast cancer cells in the HER2 silver in‐situ hybridization test: how many cells are enough?
Aim: To evaluate the intraobserver and interobserver reproducibility of the HER2 in‐situ hybridization (ISH) test in breast cancer by measuring the impact of counting different numbers of invasive cancer cells.Methods and results: A cohort of 101 primary invasive breast cancer cases were evaluated for HER2 gene amplification by silver ISH, and the concordance among four observers with different levels of experience, counting different numbers of invasive cancer cells, was determined. The evaluation of the samples included scoring 20 nuclei, in three different areas. The cases were scored twice, with a washout interval of at least 2 weeks. We observed an increase in the intraobserver concordance rate between the first and second evaluations with an increase in cell count. A count of 60 invasive cells was needed to obtain a concordance rate near 95% and an agreement rate greater than 0.80 by all observers. The interobserver concordance rate of the HER2 test also increased with the increase in cell count, reaching at least a 90% concordance rate with a count of 60 invasive cells. The median variability of both the HER2/CEP17 ratio and the average HER2 copy number between different evaluations decreased with the increase in cell count, being statistically higher in HER2‐positive cases.Conclusions: The minimal cell number recommended in current guidelines should be raised to at least 40, and preferably 60, invasive cells. Moreover, cases with amplification levels close to the threshold should be subjected to a dual count from an experienced observer.
- 7 March 2017
- Published by Wiley in Histopathology
- Vol. 71 (2) , 247-257
Counting invasive breast cancer cells in the HER2 silver in‐situ hybridization test: how many cells are enough?
Aim: To evaluate the intraobserver and interobserver reproducibility of the HER2 in‐situ hybridization (ISH) test in breast cancer by measuring the impact of counting different numbers of invasive cancer cells.Methods and results: A cohort of 101 primary invasive breast cancer cases were evaluated for HER2 gene amplification by silver ISH, and the concordance among four observers with different levels of experience, counting different numbers of invasive cancer cells, was determined. The evaluation of the samples included scoring 20 nuclei, in three different areas. The cases were scored twice, with a washout interval of at least 2 weeks. We observed an increase in the intraobserver concordance rate between the first and second evaluations with an increase in cell count. A count of 60 invasive cells was needed to obtain a concordance rate near 95% and an agreement rate greater than 0.80 by all observers. The interobserver concordance rate of the HER2 test also increased with the increase in cell count, reaching at least a 90% concordance rate with a count of 60 invasive cells. The median variability of both the HER2/CEP17 ratio and the average HER2 copy number between different evaluations decreased with the increase in cell count, being statistically higher in HER2‐positive cases.Conclusions: The minimal cell number recommended in current guidelines should be raised to at least 40, and preferably 60, invasive cells. Moreover, cases with amplification levels close to the threshold should be subjected to a dual count from an experienced observer.
- Open Access
- 1 January 2017
- Published by Wolters Kluwer Health in Annals of Medicine & Surgery
- Vol. 13, 29-33
Primary thyroid lymphoma: A case report and review of the literature
A rapidly enlarging mass of the anterior compartment of the neck with compressive symptoms may represent, among other diagnosis, a neoplasm of the thyroid gland. We describe the case of a 59-year-old woman referred to the endocrine surgical unit because of compressive cervical symptoms for 3 months. The cervical ultrasound revealed a sub-sternal goiter with heterogeneous echo structure and the fine-needle aspirating cytology was inconclusive. Given the large impact of symptoms on life quality, she was submitted to a total thyroidectomy. Histological examination of the surgical specimen revealed the presence of a Diffuse Large B Cell Lymphoma of the thyroid. Primary thyroid lymphomas are rare and there are few randomized studies for diagnostic and therapeutic guidance. New immunohistochemical and molecular techniques have improved the diagnostic accuracy with corebiopsy limiting the role of surgery. The treatment should first include the control of local disease with radiotherapy and/or surgery combined with chemotherapy to control obscure or disseminated disease. Palliative surgery may be needed to relieve airway compression symptoms. Under these circumstances, surgery should be performed by a specialized surgeon to decrease the associated morbidity. The prognosis of patients depends on the histological classification of the tumor and the stage of the disease. Due to the rarity of the disease, each case must be evaluated and treated individually, since there is not a consensual therapeutic approach.
- 1 January 2017
- Published by Wolters Kluwer Health in Annals of Medicine & Surgery
- Vol. 13, 29-33
Open AccessPrimary thyroid lymphoma: A case report and review of the literature
A rapidly enlarging mass of the anterior compartment of the neck with compressive symptoms may represent, among other diagnosis, a neoplasm of the thyroid gland. We describe the case of a 59-year-old woman referred to the endocrine surgical unit because of compressive cervical symptoms for 3 months. The cervical ultrasound revealed a sub-sternal goiter with heterogeneous echo structure and the fine-needle aspirating cytology was inconclusive. Given the large impact of symptoms on life quality, she was submitted to a total thyroidectomy. Histological examination of the surgical specimen revealed the presence of a Diffuse Large B Cell Lymphoma of the thyroid. Primary thyroid lymphomas are rare and there are few randomized studies for diagnostic and therapeutic guidance. New immunohistochemical and molecular techniques have improved the diagnostic accuracy with corebiopsy limiting the role of surgery. The treatment should first include the control of local disease with radiotherapy and/or surgery combined with chemotherapy to control obscure or disseminated disease. Palliative surgery may be needed to relieve airway compression symptoms. Under these circumstances, surgery should be performed by a specialized surgeon to decrease the associated morbidity. The prognosis of patients depends on the histological classification of the tumor and the stage of the disease. Due to the rarity of the disease, each case must be evaluated and treated individually, since there is not a consensual therapeutic approach.
- Open Access
- 5 March 2015
- Published by BMJ in BMJ Case Reports
- Vol. 2015
Polyarteritis nodosa: an atypical presentation
A 55-year-old woman presented with a history of fever and painful skin lesions in the right leg, associated with progressive weakness and sensory loss in the affected limb.
- 5 March 2015
- Published by BMJ in BMJ Case Reports
- Vol. 2015
Open AccessPolyarteritis nodosa: an atypical presentation
A 55-year-old woman presented with a history of fever and painful skin lesions in the right leg, associated with progressive weakness and sensory loss in the affected limb.