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Study Complete Details




Project Accession: IBIAP_1000000010
Title: Histopathological images of thyroid lesions
Representative Image:
Description: The dataset comprises 154,498 images derived from 134 slides, representing 125 thyroid nodules from 118 patients. These images encompass six types of thyroid lesions: NIFTP, HTN, FA, IEFVPTC, IFSPTC, and CPTC.
Publications: https://link.springer.com/article/10.1007/s12022-025-09865-0
Associated Codes (URL only): N/A
Funding agency: DBT
Grant Number: BT/PR34211/AI/133/1/2019
Ethics Statement: N/A
Any Other Information : N/A
Additional File: N/A
Acknowledgments: This work was supported by the Department of Biotechnology (DBT) [grant numbers BT/PR34211/AI/133/1/2019 and BT/PR40151/BTIS/137/5/2021]. We would like to express our gratitude to the patients who participated in the study, as well as to the AIIMS and ICGEB for providing the necessary infrastructure for conducting the study. We acknowledge Chhaya, Ashish, Divya and Dhairya's crucial assistance in image QC data curation.

Sr.No First name Last name Email Organization Designation
1 Shweta Birla sbirla84@gmail.com International Centre for Genetic Engineering Biotechnology (ICGEB) Postdoctoral Researcher
2 Nimisha Tiwari nimi.tiwari08@gmail.com International Centre for Genetic Engineering Biotechnology (ICGEB) Research Scholar
3 Pragati Shyamal pragatishyamal1@gmail.com All India Institute of Medical Sciences (AIIMS) Unspecified
4 Arundhati Sharma arundhatisharma1@gmail.com All India Institute of Medical Sciences (AIIMS) Co-Investigator
5 Shipra Agarwal drshipra0902@gmail.com All India Institute of Medical Sciences (AIIMS) Principal Investigator
6 Dinesh Gupta dinesh@icgeb.res.in International Centre for Genetic Engineering Biotechnology (ICGEB) Co-Principal Investigator

Study Accession: HISTOS_1000000014
Title: Utility of Artificial Intelligence in differentiating Non- invasive Follicular Thyroid Neoplasm with Papillary like Nuclear Features from other follicular-patterned thyroid benign and malignant lesions
Imaging Type: Histopathology (HISTO)
Imaging Sub-type: Diagnostic Pathology
Summary: The introduction of the term non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) in 2016 marked a pivotal shift in the classification of encapsulated follicular variants of papillary thyroid carcinoma (eFVPTC) lacking invasive features. While this reclassification significantly reduced overtreatment, the histopathological diagnosis of NIFTP remains challenging due to overlapping features with other thyroid lesions and inter-observer variability. This study presents a novel deep learning (DL)-based, three-stage diagnostic pipeline for distinguishing NIFTP from a wide spectrum of thyroid lesions, including benign and malignant mimics. By replicating the diagnostic strategy of histopathologists, the algorithm evaluates architectural patterns and nuclear features with high precision. Our approach has a potential to enhance diagnostic accuracy in a cost-effective and scalable manner, complementing existing diagnostic methods and thus optimizing clinical decision-making and improving the management of patients with thyroid neoplasms.
Keywords: Histopathology; Deep-Learning; Differential Diagnosis; Thyroid Cancers
Additional / Any Other Information: N/A
Release Date: June 2, 2025
Access Licence Type: Open Access

Table 1. The sample types registered under this study are as follows:
Sample Type IDOrganismTaxon IDBiological EntityLateralitySource TissueSource Cell/Cell-lineCell Organelle
HISTOSMT_10000000038Homo sapiens 9606 Thyroid GlandNot ApplicableThyroid gland tissueN/AN/A

Table 2. The samples registered under this study are as follows:
Sample Type ID Sample ID Method used for Sample Collection Cell Phenotype Studied ICD-11 Code (patient health condition) Presentation / Clinical Diagnosis
HISTOSMT_10000000038 HISTOSM_10000062773 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000214509 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062775 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000213997 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062777 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000214093 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062779 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000214125 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062781 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000214285 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062783 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000214317 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062785 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000214413 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062787 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000214445 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062789 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000214573 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062791 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000214541 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features

Table 3. The experiment types registered under this study are as follows:
Experiment Type IDInstrument NameInstrument TypeManufacturerModel
HISTOET_10000000015Digital Slide Scanning SystemDigital Slide ScannerMoticVM1


Experimental Design Summary (HISTOET_10000000015)
Hematoxylin and Eosin (H&E)-stained slides of histopathologically-confirmed cases of FND, HTN,FA, NIFTP, IEFVPTC, IFSPTC, and CPTC patients were retrieved from the archives of the Department of Pathology, All India Institute of Medical Sciences (AIIMS), New Delhi, India, spanning the period from 2015 to 2023. The corresponding slides were further reviewed by an experienced endocrine pathologist to reconfirm the diagnosis and select representative slides for further analysis. The diagnosis adhered to the criteria outlined in the most recent WHO classification of thyroid neoplasms The selected H&E slides were scanned at 40x magnification (equivalent to 0.25 μm/pixel) using the Motic VM1 whole slide scanner to generate whole slide images (WSIs). The slides were than subjected to AI studies.

Acquired Images Annotation Description (HISTOET_10000000015)
WHO defining criteria for the various thyroid lesions included in the study. For more details, please refer to "Additional File" of the "Project" section for this record.

Table 4. The experiments registered under this study are as follows:
Sample ID Experiment Type ID Experiment ID Image type (Original / Derived / Unknown) Any Other Information Staining Type Images Magnification Tissue / Tumor Fixative Used Dataset Split Type (Training / Validation / Test)
HISTOSM_10000061799 HISTOET_10000000015 HISTOE_10000061799 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061800 HISTOET_10000000015 HISTOE_10000061800 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061801 HISTOET_10000000015 HISTOE_10000061801 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061802 HISTOET_10000000015 HISTOE_10000061802 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061803 HISTOET_10000000015 HISTOE_10000061803 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061804 HISTOET_10000000015 HISTOE_10000061804 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061805 HISTOET_10000000015 HISTOE_10000061805 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061806 HISTOET_10000000015 HISTOE_10000061806 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061807 HISTOET_10000000015 HISTOE_10000061807 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061808 HISTOET_10000000015 HISTOE_10000061808 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061810 HISTOET_10000000015 HISTOE_10000061810 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061811 HISTOET_10000000015 HISTOE_10000061811 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061812 HISTOET_10000000015 HISTOE_10000061812 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061813 HISTOET_10000000015 HISTOE_10000061813 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061815 HISTOET_10000000015 HISTOE_10000061815 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061816 HISTOET_10000000015 HISTOE_10000061816 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061817 HISTOET_10000000015 HISTOE_10000061817 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061818 HISTOET_10000000015 HISTOE_10000061818 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061819 HISTOET_10000000015 HISTOE_10000061819 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061820 HISTOET_10000000015 HISTOE_10000061820 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset

Experiment ID Image File Name (with path) Image Preview Image Size
HISTOE_10000062205thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_82.tiff Unable to preview image
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544K
HISTOE_10000062206thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_83.tiff Unable to preview image
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500K
HISTOE_10000062207thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_84.tiff Unable to preview image
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436K
HISTOE_10000062208thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_85.tiff Unable to preview image
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504K
HISTOE_10000062209thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_86.tiff Unable to preview image
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556K
HISTOE_10000062210thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_87.tiff Unable to preview image
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572K
HISTOE_10000062211thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_88.tiff Unable to preview image
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544K
HISTOE_10000062212thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_89.tiff Unable to preview image
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544K
HISTOE_10000062213thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_8.tiff Unable to preview image
Download Image
384K
HISTOE_10000062214thyroid_lesions/STAGE1_BTID/ET_BTID/ET_Pappilae/ET_Papillae_90.tiff Unable to preview image
Download Image
532K